From 166e1eb8a6267bba4bf076fe53bf3e0811212efa Mon Sep 17 00:00:00 2001 From: janisshin Date: Tue, 1 Sep 2026 12:26:30 -0700 Subject: [PATCH 1/4] Recover the reaction-annotation benchmark as a verifiable Phase-1 artifact The evaluation work existed only on an unmerged research branch, with no reproducible corpus behind its reported 68 models / 4,379 reactions. This rebuilds it as a frozen, checksum-verified dataset and records what the historical numbers actually were. Fix KEGG reaction URI matching. main matched only `kegg.reaction:R00024`, while BioModels overwhelmingly uses the slash form, so extraction returned zero ground truth on real files. Parametrised tests now cover slash, colon, and URN forms. Preserve every valid ground-truth ID rather than the first encountered. 91 reactions carry multiple IDs, one of them ten; scoring against a single arbitrary ID under-credits correct predictions. Separate pipeline failures from scientific exclusions. A missing download or unparseable file is a defect in our tooling and is reported apart from exclusions that are properties of the data. SSX reactions are retained as records and reduce reaction counts only, never model counts. Surface parser problems instead of absorbing them: per model, raw `kegg.reaction` mentions are compared against extracted identifiers. This showed BIOMD0000000579 has no reaction-level ground truth at all, only 13 species misannotated with reaction IDs, so it is a genuine data exclusion. Cluster near-duplicate models for leakage-safe splitting, using Jaccard plus containment gated on comparable size and minimum shared identifiers. Without containment the three Smallbone2013 yeast variants split apart; without the gates, clustering collapsed the corpus. Observed: 74 models, 5,838 ground-truth reactions, 5,816 evaluable. All 75 files verified against upstream SHA-256, all ten dataset invariants pass, and repeated builds are byte-identical. The 68 / 4,379 figures are not reproducible from this manifest under any defensible rule and were not engineered into; benchmark/data/RECONCILIATION.md documents the evidence, including that upstream files have not changed since the snapshot. --- .gitignore | 9 +- benchmark/README.md | 148 + benchmark/data/RECONCILIATION.md | 179 + benchmark/data/VERSION.json | 24 + benchmark/data/benchmark_summary.json | 28 + benchmark/data/duplicate_groups.csv | 10 + benchmark/data/exclusions.csv | 24 + benchmark/data/invariants.json | 57 + benchmark/data/model_clusters.csv | 75 + benchmark/data/model_context.csv | 75 + benchmark/data/model_summary.csv | 76 + benchmark/data/parser_diagnostics.csv | 76 + benchmark/data/pipeline_failures.csv | 1 + benchmark/data/reactions.csv | 5839 +++ benchmark/data/species_annotations.csv | 31976 ++++++++++++++++ benchmark/manifest/model_paths.txt | 75 + benchmark/manifest/model_registry.json | 2343 ++ benchmark/manifest/models.txt | 77 + benchmark/scripts/build_benchmark.py | 1075 + benchmark/scripts/download_biomodels.py | 285 + core/annotation_workflow.py | 8 + core/curation_workflow.py | 165 +- core/database_search.py | 158 +- core/model_info.py | 53 +- core/reaction/amendment.py | 13 +- core/reaction/annotation_workflow.py | 692 +- core/reaction/hierarchy_relaxation.py | 11 + core/reaction/kegg_compound_ids.py | 31 + core/reaction/kegg_features.py | 107 +- core/reaction/matching.py | 9 +- core/reaction/relaxation_workflow.py | 24 +- core/reaction/utils.py | 28 +- .../analyze_reaction_complexity_from_eval.py | 309 + tests/evaluate_reaction_annotation.py | 826 + tests/find_kegg_in_biomodels.py | 64 + tests/kegg_annotated_files.txt | 75 + tests/test_benchmark_build.py | 593 + utils/constants.py | 5 +- 38 files changed, 45340 insertions(+), 283 deletions(-) create mode 100644 benchmark/README.md create mode 100644 benchmark/data/RECONCILIATION.md create mode 100644 benchmark/data/VERSION.json create mode 100644 benchmark/data/benchmark_summary.json create mode 100644 benchmark/data/duplicate_groups.csv create mode 100644 benchmark/data/exclusions.csv create mode 100644 benchmark/data/invariants.json create mode 100644 benchmark/data/model_clusters.csv create mode 100644 benchmark/data/model_context.csv create mode 100644 benchmark/data/model_summary.csv create mode 100644 benchmark/data/parser_diagnostics.csv create mode 100644 benchmark/data/pipeline_failures.csv create mode 100644 benchmark/data/reactions.csv create mode 100644 benchmark/data/species_annotations.csv create mode 100644 benchmark/manifest/model_paths.txt create mode 100644 benchmark/manifest/model_registry.json create mode 100644 benchmark/manifest/models.txt create mode 100644 benchmark/scripts/build_benchmark.py create mode 100644 benchmark/scripts/download_biomodels.py create mode 100644 core/reaction/kegg_compound_ids.py create mode 100644 tests/analyze_reaction_complexity_from_eval.py create mode 100644 tests/evaluate_reaction_annotation.py create mode 100644 tests/find_kegg_in_biomodels.py create mode 100644 tests/kegg_annotated_files.txt create mode 100644 tests/test_benchmark_build.py diff --git a/.gitignore b/.gitignore index 0b023cf..7ec473e 100644 --- a/.gitignore +++ b/.gitignore @@ -29,4 +29,11 @@ analysis/** # testing files **/scratch.ipynb **/participants_likelihood*.csv -**/reaction_likelihood*.csv \ No newline at end of file +**/reaction_likelihood*.csv + +# benchmark artifacts +# Downloaded SBML is reproducible from the manifest + checksums, so it is not vendored. +benchmark/models/ +# Transient build scratch and logs (leading underscore = not a frozen artifact). +benchmark/data/_* +**/BioModels_251106 \ No newline at end of file diff --git a/benchmark/README.md b/benchmark/README.md new file mode 100644 index 0000000..9246fea --- /dev/null +++ b/benchmark/README.md @@ -0,0 +1,148 @@ +# Reaction Annotation Benchmark (Phase 1) + +Frozen, checksum-verified benchmark for evaluating KEGG reaction annotation under +imperfect metabolite identifiers. + +Current version: **`phase1-v1`** — 74 models, 5,838 ground-truth reactions, +5,816 evaluable. See [`data/RECONCILIATION.md`](data/RECONCILIATION.md) for the +observed counts and why they differ from the historical 68 / 4,379 report. + +## Layout + +``` +benchmark/ + manifest/ + models.txt # 75 BioModels accessions (canonical manifest) + model_paths.txt # Repo-relative paths for evaluation scripts + model_registry.json # Generated: URLs, upstream + local SHA-256, revisions + models/ # Downloaded SBML (gitignored, reproducible) + data/ # Frozen benchmark tables (generated) + scripts/ + download_biomodels.py + build_benchmark.py +``` + +## Quick start + +```bash +python benchmark/scripts/download_biomodels.py # resolve, download, verify +python benchmark/scripts/build_benchmark.py # build frozen tables +python -m pytest tests/test_benchmark_build.py # regression tests +``` + +Add `--with-candidates` to attach rule-based candidates and heuristic scores. +This is slower and requires the KEGG reference data under `data/kegg/`. + +## Provenance + +Main SBML filenames are **not** predictable from the accession +(`BIOMD0000000013_url.xml` vs `iJN1463.xml`), so the downloader resolves each +model's file list from the BioModels API rather than guessing. Every file is +verified against the upstream SHA-256 published by the API; `model_registry.json` +records the download URL, upstream and local digests, SBML format version, +curation status, and the latest upstream revision. + +## Pipeline failures are not scientific exclusions + +This distinction is enforced in code and in the outputs. + +**Pipeline failures** (`pipeline_failures.csv`) indicate a defect in our tooling +or in the snapshot. They must be resolved or explicitly justified, never folded +into exclusion statistics. + +| Failure type | Meaning | +|---|---| +| `file_missing` | Download absent — a tooling failure, not a property of the data | +| `parse_error` | libSBML cannot parse the file; examined individually | +| `checksum_unverified` | Local bytes disagree with the upstream digest | +| `provenance_missing` | Registry has no entry for an accession | +| `registry_missing` | No registry at all, so nothing is provenance-verified | + +**Scientific exclusions** (`exclusions.csv`) are properties of the data. + +| Level | Reason | Effect | +|---|---|---| +| model | `no_kegg_reaction_annotations` | Model carries no reaction-level ground truth | +| reaction | `exchange_ssx` | Empty reactant or product side; record kept, marked not evaluable | +| reaction | `invalid_ground_truth_id` | Identifier fails `R#####` validation | + +SSX exclusions reduce **reaction** counts, never model counts. A model whose +reactions are all SSX stays in the benchmark and contributes zero evaluable +reactions; that case is reported as `models_with_zero_eval_reactions`. + +## Parser problems are surfaced, not absorbed + +`parser_diagnostics.csv` compares, per model, the number of reactions whose raw +annotation mentions `kegg.reaction` against the number from which an identifier +was actually extracted. Any shortfall sets `parser_discrepancy` — the signature +of a URI-form or parser defect rather than a data property. + +It also counts species carrying `kegg.reaction` annotations. The manifest was +assembled by grepping raw file bytes, so models are selected as "KEGG-annotated" +even when the only mentions are misplaced species annotations +(`misplaced_annotations_only`). `BIOMD0000000579` is exactly this case. + +## Ground truth policy + +**All** valid KEGG reaction IDs are preserved in `ground_truth_kegg_all`; +`ground_truth_kegg_primary` is the first for backward-compatible scoring. 91 +reactions carry more than one valid ID, one of them 10. Scoring against a single +arbitrary ID systematically under-credits correct predictions. + +## Train/test partitioning + +Split on `cluster_id` from `model_clusters.csv`, never on individual reactions. +Clusters group near-duplicate model variants by ground-truth overlap (Jaccard, or +containment gated on comparable size and a minimum shared-identifier count) so +closely related models always land in the same partition. + +Cluster IDs are `CLU_` and stay stable across rebuilds +while membership is unchanged. Every included model has a cluster ID, singletons +included: 74 models across 54 clusters, 9 clusters holding more than one model. + +## Determinism and versioning + +Tables are sorted on stable keys and written with a fixed line terminator; no +timestamps enter the data tables. Two consecutive builds produce byte-identical +output across all 11 artifacts. `VERSION.json` freezes the version with SHA-256 +digests of every artifact plus the manifest and registry, and records whether all +invariants passed. + +## Dataset invariants + +`invariants.json` records ten checks, all currently passing: + +1. Manifest holds 75 unique accessions +2. Every registry entry carries a download URL and local SHA-256 +3. Every downloaded file matches the upstream SHA-256 +4. Every included model parses +5. Every evaluable reaction has at least one valid ground-truth ID +6. All included ground-truth IDs are well formed +7. Reaction records reconcile: total = evaluable + reaction-level exclusions +8. Model records reconcile: manifest = included + excluded + pipeline failures +9. Every included model has a cluster ID +10. `(model_id, reaction_id)` keys are unique + +## Outputs + +| File | Contents | +|---|---| +| `reactions.csv` | One row per (model, reaction) with ground truth and flags | +| `model_context.csv` | Model title and notes; join on `model_id` | +| `model_summary.csv` | Per-model status, counts, cluster assignment | +| `model_clusters.csv` | `model_id` → `cluster_id` for partitioning | +| `exclusions.csv` | Scientific exclusions only | +| `pipeline_failures.csv` | Tooling and provenance failures | +| `duplicate_groups.csv` | Multi-member clusters with linkage rules | +| `species_annotations.csv` | Species-level annotation inventory | +| `parser_diagnostics.csv` | Raw-vs-extracted KEGG mention comparison | +| `benchmark_summary.json` | Observed counts | +| `invariants.json` | Invariant check results | +| `VERSION.json` | Frozen version with artifact digests | +| `RECONCILIATION.md` | Discrepancy analysis vs the historical report | + +## Branch integration + +Phase 1 integrates evaluation code from `upstream/test/no-rule-evals`, including +the KEGG URI slash-form fix that `main` lacks, KEGG-compound species support, SSX +detection, and the ontology/cofactor ablation toggles. diff --git a/benchmark/data/RECONCILIATION.md b/benchmark/data/RECONCILIATION.md new file mode 100644 index 0000000..8652e18 --- /dev/null +++ b/benchmark/data/RECONCILIATION.md @@ -0,0 +1,179 @@ +# Reconciliation: observed counts vs the historical 68 models / 4,379 reactions + +Benchmark version `phase1-v1`. Built from a checksum-verified snapshot of all 75 +manifest accessions. Every number below is read from the generated artifacts, +not assumed. + +## Observed counts + +| Quantity | Observed | +|---|---| +| Manifest accessions (unique) | 75 | +| Models downloaded and SHA-256 verified | 75 / 75 | +| Models parsed by libSBML | 75 / 75 | +| Pipeline failures | 0 | +| Models included in benchmark | 74 | +| Models scientifically excluded | 1 | +| Ground-truth reactions (all records) | 5,838 | +| Evaluable reactions | 5,816 | +| Reactions excluded, exchange/SSX | 19 | +| Reactions excluded, malformed ground-truth ID | 3 | +| Reactions carrying more than one KEGG ID | 91 | +| Distinct KEGG reaction identifiers | 1,906 | +| Duplicate clusters with more than one member | 9 (29 models) | +| Distinct clusters (partition units) | 54 | + +`reactions.csv` SHA-256: `f11ebc6f4d0734deb14c054caf277b81695b22668017d70af9c43cd6146004f1` + +All ten dataset invariants pass; see `invariants.json`. + +## The single scientific exclusion + +**BIOMD0000000579** carries no reaction-level KEGG annotation. It was +investigated individually rather than accepted at face value, because a +"KEGG-annotated" model yielding zero ground truth is exactly the signature of a +parser defect. + +Finding: the model has 175 reactions, **all** of which carry annotations, but +none reference `kegg.reaction`. The 16 raw `kegg.reaction` mentions in the file +belong to **13 species**, for example species `s308` annotated with +`kegg.reaction/R00289`. Annotating a metabolite with a reaction identifier is a +curation error in the source model. + +This is a genuine data-level exclusion, not a tooling failure. It is recorded in +`parser_diagnostics.csv` under `misplaced_annotations_only`, and it exposes a +manifest-construction weakness: the original `find_kegg_in_biomodels.py` selected +models by grepping raw file bytes for `kegg.reaction`, which cannot distinguish a +reaction annotation from a misplaced species annotation. The manifest therefore +over-selects. + +## Why the counts differ from 68 / 4,379 + +The historical figures are treated as a clue. Exclusions were **not** adjusted to +reproduce them. Four candidate explanations were tested. + +### 1. Upstream file drift — ruled out + +Every one of the 75 models has its latest upstream revision dated **before** the +2025-11-06 snapshot date, so no model has changed at BioModels since the +historical run. The corpus we built is the same set of model versions the +historical run would have seen. + +One caveat worth recording: the copy of `BIOMD0000000013` previously vendored in +`tests/test_models/` is 99,166 bytes, whereas the verified upstream main file is +96,608 bytes. The historical `tests/BioModels_251106/` directory is absent from +the repository and from this machine, so its byte-level contents cannot be +compared. Local snapshots obtained by bulk download were evidently not identical +to the API's `main` SBML file, which is precisely why this benchmark now pins +upstream checksums. + +### 2. A colon-only KEGG URI pattern — a real defect, and the likely reason this +was hard to reproduce + +`main` matched only `kegg.reaction:R00024`. Real BioModels files overwhelmingly +use the slash form `kegg.reaction/R00024`, so `main`'s pattern extracts **zero** +ground-truth reactions from this corpus. The unmerged evaluation branch carried +the fix; `main` did not. The fix is now on this branch and locked down by +parametrised regression tests over slash, colon, and URN forms. + +This means the historical numbers could not have been produced by `main`'s +extraction code, and any attempt to reproduce them from `main` would have yielded +nothing at all. + +### 3. Ground-truth policy — affects scoring, not counts + +The historical helper kept only the first KEGG ID per reaction. That changes +measured accuracy but not the number of reaction records, so it cannot account +for the 1,459-reaction gap. It does matter scientifically: **91 reactions** carry +multiple valid IDs, one of them (`BIOMD0000000015`, reaction `den`) carrying 10. +Scoring against a single arbitrary ID under-credits correct predictions on those +reactions. + +### 4. Which models were actually evaluated — the most plausible cause + +The corpus is extremely top-heavy. Seven genome-scale models contribute **4,556 +of 5,838** ground-truth reactions (78%); the other 67 models contribute 1,282. +Median reactions per model is 10; the largest single model contributes 1,047. +Any difference in how the largest models were handled swings the total enormously: + +| Scenario | Models | Reactions | +|---|---|---| +| This build (all included) | 74 | 5,838 | +| Excluding the 2 genome-scale models with no species annotations | 72 | 4,418 | +| Excluding all 7 genome-scale models | 67 | 1,282 | +| Historical report | 68 | 4,379 | + +No subset rule tested reproduces 68 / 4,379 exactly. The nearest simple rule — +dropping the two genome-scale models that have no usable species annotations +(`BIOMD0000001090`, `BIOMD0000001091`, 1,420 reactions between them) — yields +4,418 reactions across 72 models, still not a match. + +Two concrete pieces of evidence point at the model list rather than the rules: + +- The committed evaluation script defaulted to + `tests/kegg_annotated_files-test.txt`, a file that **does not exist** in the + repository, rather than the 75-entry `kegg_annotated_files.txt`. The published + numbers therefore likely came from a different, probably truncated, list. +- The historical outputs (`per_reaction_results.csv`, `results_summary.csv`) were + never committed, so the excluded set cannot be recovered directly. + +**Conclusion.** The difference is attributable to which models were fed to the +historical run, not to the corpus having changed and not to the exclusion rules +applied here. 68 / 4,379 is not reproducible from the 75-model manifest under any +defensible rule, and it is not adopted as an acceptance criterion. The current +counts are fully reconciled and reproducible: 75 = 74 included + 1 excluded + 0 +pipeline failures, and 5,838 = 5,816 evaluable + 22 reaction-level exclusions. + +## Reaction-level exclusions in detail + +**Exchange/SSX (19 reactions across 9 models).** Reactions with an empty +reactant or product side, such as `PRPP =>` in `BIOMD0000000015`. The rule-based +matcher generates no candidates for these when `include_exchange_reactions=False`, +so they are retained as records and marked `included_in_eval=False`. They reduce +reaction counts only; no model is excluded on this basis, and +`models_with_zero_eval_reactions` is 0. + +**Malformed ground-truth ID (3 reactions).** Reaction `gluconeogenesis_ser` in +`BIOMD0000000268`, `BIOMD0000000450`, and `BIOMD0000000674` is annotated +`R0006565`, which has seven digits where KEGG uses five. A curation typo in three +related models, all of which fall in cluster `CLU_BIOMD0000000268`. + +## Duplicate clusters and partitioning + +Clustering links models by ground-truth overlap using two rules, both recorded +per cluster in `duplicate_groups.csv`: + +- **Jaccard** ≥ 0.9 catches same-scope variants, such as + `Yamada2003_JAK_STAT_pathway` and its SOCS1 knockout. +- **Containment** ≥ 0.9 catches models that extend another, gated on comparable + set size (ratio ≥ 0.5) and at least 5 shared identifiers. Without containment + the three Smallbone2013 yeast variants split apart: `BIOMD0000000473` shares + 189 reactions with `BIOMD0000000471`/`472` yet scores only 0.86 by Jaccard + because it adds 23 more. Without the size and overlap gates, clustering + collapses — a two-reaction model is trivially contained in a genome-scale one, + which chained unrelated models into one cluster and cut distinct clusters from + 65 to 29. Both failure modes are covered by regression tests. + +Cluster IDs are `CLU_`, so they are stable +across rebuilds for unchanged membership. Every included model has a cluster ID, +singletons included, so train/test splits partition on `cluster_id` and never on +individual reactions. + +One judgment call is worth flagging. `CLU_BIOMD0000000042` groups seven yeast +glycolysis models from seven different papers (Nielsen1998, Hynne2001, +Galazzo1990, Teusink2000, Bakker2001, Albert2005, Ralser2007). They are not +variants of one another in provenance terms, but they annotate substantially the +same KEGG reactions, so separating them across a split would leak labels. The +grouping is deliberately conservative; thresholds are exposed as +`--duplicate-threshold`, `--containment-threshold` if a stricter provenance-based +definition is preferred later. + +## Reproducing this build + +```bash +python benchmark/scripts/download_biomodels.py # 75/75 checksum-verified +python benchmark/scripts/build_benchmark.py # deterministic artifacts +python -m pytest tests/test_benchmark_build.py # 21 regression tests +``` + +Two consecutive builds produced byte-identical output across all 11 artifacts. diff --git a/benchmark/data/VERSION.json b/benchmark/data/VERSION.json new file mode 100644 index 0000000..fac37d2 --- /dev/null +++ b/benchmark/data/VERSION.json @@ -0,0 +1,24 @@ +{ + "benchmark_version": "phase1-v1", + "manifest_sha256": "8e0d65e5e089b8ed34eae69d7d4db542ef9133d86a2b6d0b41b36abe26cbe11e", + "registry_sha256": "276fddf707a2946e3b2b487c7ca35bd11b30f0f754a35920b7b2ce5113816423", + "artifact_sha256": { + "reactions.csv": "f11ebc6f4d0734deb14c054caf277b81695b22668017d70af9c43cd6146004f1", + "model_summary.csv": "90210acf3d2e05c1a6b94f38aee25c4c0663b96383d7fdb5fdf32392a7f2f3d8", + "model_context.csv": "94ea74e1506183b5b1ebd231d5cf24b33824e71b6a5188c9f2b588ff16cd9f1d", + "model_clusters.csv": "9878d843888077e4b3ac8110260492bdbb81491f2d8197eca702ee35ce8e48fb", + "exclusions.csv": "d71b0614016e3c0693d6f6d860af41ea4f9d582aad3dbd697124d699afdaafb5", + "pipeline_failures.csv": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b", + "duplicate_groups.csv": "56e62170cee8fffe2a0270a7130cd83db43e188e9bba6b403582286a10e67460", + "species_annotations.csv": "99320d1da098215211d0364b70e719a6e59383b82383a30e3436f96d8abafd82", + "parser_diagnostics.csv": "889e72069702858817a07c275c68cb1640bf70e2ef362ea202a931a4afe56b06", + "benchmark_summary.json": "8cbf037495f7ed72d02c06fc462ef414878588f83717ae877c520722ebca71ab", + "invariants.json": "fdee658cef1094805735de5fd1e013d05e4f34cc6d8a8bec1ca9ad68aa0701fb" + }, + "counts": { + "models_included": 74, + "total_ground_truth_reactions": 5838, + "evaluable_reactions": 5816 + }, + "invariants_all_passed": true +} diff --git a/benchmark/data/benchmark_summary.json b/benchmark/data/benchmark_summary.json new file mode 100644 index 0000000..1017767 --- /dev/null +++ b/benchmark/data/benchmark_summary.json @@ -0,0 +1,28 @@ +{ + "benchmark_version": "phase1-v1", + "with_candidates": false, + "duplicate_threshold": 0.9, + "containment_threshold": 0.9, + "manifest_models": 75, + "manifest_unique_accessions": 75, + "models_processed": 75, + "models_included": 74, + "models_excluded_no_ground_truth": 1, + "models_pipeline_failure": 0, + "models_with_zero_eval_reactions": 0, + "total_ground_truth_reactions": 5838, + "evaluable_reactions": 5816, + "reactions_excluded_ssx": 19, + "reactions_excluded_invalid_gt": 3, + "reactions_with_multiple_ground_truth_ids": 91, + "duplicate_clusters_multi_member": 9, + "models_in_multi_member_clusters": 29, + "distinct_clusters": 54, + "models_with_parser_discrepancy": 0, + "models_with_misplaced_annotations_only": 1, + "historical_reference": { + "models": 68, + "reactions": 4379, + "note": "Clue only, not an acceptance criterion. Differences are documented in benchmark/data/RECONCILIATION.md rather than engineered away." + } +} diff --git a/benchmark/data/duplicate_groups.csv b/benchmark/data/duplicate_groups.csv new file mode 100644 index 0000000..bda6c66 --- /dev/null +++ b/benchmark/data/duplicate_groups.csv @@ -0,0 +1,10 @@ +cluster_id,group_size,model_ids,union_ground_truth_ids,shared_ground_truth_ids,min_pairwise_jaccard,linkage_rules +CLU_BIOMD0000000018,2,BIOMD0000000018;BIOMD0000000213,12,10,0.8333,containment +CLU_BIOMD0000000042,7,BIOMD0000000042;BIOMD0000000061;BIOMD0000000063;BIOMD0000000064;BIOMD0000000071;BIOMD0000000211;BIOMD0000000247,26,5,0.5789,containment +CLU_BIOMD0000000093,2,BIOMD0000000093;BIOMD0000000094,2,2,1.0,jaccard +CLU_BIOMD0000000122,2,BIOMD0000000122;BIOMD0000000123,1,1,1.0,jaccard +CLU_BIOMD0000000172,4,BIOMD0000000172;BIOMD0000000176;BIOMD0000000177;BIOMD0000000503,17,14,0.8235,containment+jaccard +CLU_BIOMD0000000218,4,BIOMD0000000218;BIOMD0000000219;BIOMD0000000221;BIOMD0000000222,13,9,0.75,containment+jaccard +CLU_BIOMD0000000268,3,BIOMD0000000268;BIOMD0000000450;BIOMD0000000674,18,18,1.0,containment+jaccard +CLU_BIOMD0000000471,3,BIOMD0000000471;BIOMD0000000472;BIOMD0000000473,220,189,0.8591,containment+jaccard +CLU_BIOMD0000000689,2,BIOMD0000000689;BIOMD0000000690,6,6,1.0,containment+jaccard diff --git a/benchmark/data/exclusions.csv b/benchmark/data/exclusions.csv new file mode 100644 index 0000000..034a4c3 --- /dev/null +++ b/benchmark/data/exclusions.csv @@ -0,0 +1,24 @@ +model_id,reaction_id,exclusion_level,reason,detail +BIOMD0000000579,,model,no_kegg_reaction_annotations,175 reactions parsed; 0 reaction-level kegg.reaction mentions; 13 species carry a kegg.reaction annotation (manifest selected this model by raw file grep) +BIOMD0000000015,pyr,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000051,vDAHPS,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000051,vG1PAT,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000051,vG3PDH,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000051,vPDH,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000051,vPPK,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000051,vpepCxylase,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000081,IP3Phosphatase,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000191,NOS,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000191,ODC,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000236,vgapdh,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000244,e_Acoa2act,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000268,gluconeogenesis_ser,reaction,invalid_ground_truth_id,ground truth IDs failed R##### validation: R0006565 +BIOMD0000000450,gluconeogenesis_ser,reaction,invalid_ground_truth_id,ground truth IDs failed R##### validation: R0006565 +BIOMD0000000590,r1,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000674,gluconeogenesis_ser,reaction,invalid_ground_truth_id,ground truth IDs failed R##### validation: R0006565 +BIOMD0000000691,v4_cell_1,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000691,v4_cell_2,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000691,v6_cell_1,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000000691,v6_cell_2,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000001063,r_1710,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. +BIOMD0000001063,r_1989,reaction,exchange_ssx,Empty reactant or product side; rule-based matcher skips it when include_exchange_reactions=False. diff --git a/benchmark/data/invariants.json b/benchmark/data/invariants.json new file mode 100644 index 0000000..abb775c --- /dev/null +++ b/benchmark/data/invariants.json @@ -0,0 +1,57 @@ +{ + "all_passed": true, + "num_passed": 10, + "num_checks": 10, + "checks": [ + { + "check": "manifest_has_75_unique_accessions", + "passed": true, + "detail": "75 entries, 75 unique" + }, + { + "check": "every_registry_entry_has_provenance_and_sha256", + "passed": true, + "detail": "75/75 registry entries carry URL + local SHA-256" + }, + { + "check": "every_downloaded_file_checksum_verified", + "passed": true, + "detail": "75/75 match upstream SHA-256" + }, + { + "check": "every_included_model_parses", + "passed": true, + "detail": "0 parse failures, none among 74 included models" + }, + { + "check": "every_included_reaction_has_valid_ground_truth", + "passed": true, + "detail": "0 of 5816 evaluable reactions lack a valid KEGG ID" + }, + { + "check": 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+BIOMD0000000472,CLU_BIOMD0000000471 +BIOMD0000000473,CLU_BIOMD0000000471 +BIOMD0000000590,CLU_BIOMD0000000590 +BIOMD0000000602,CLU_BIOMD0000000602 +BIOMD0000000627,CLU_BIOMD0000000627 +BIOMD0000000633,CLU_BIOMD0000000633 +BIOMD0000000689,CLU_BIOMD0000000689 +BIOMD0000000690,CLU_BIOMD0000000689 +BIOMD0000000691,CLU_BIOMD0000000691 +BIOMD0000000725,CLU_BIOMD0000000725 +BIOMD0000001061,CLU_BIOMD0000001061 +BIOMD0000001062,CLU_BIOMD0000001062 +BIOMD0000001063,CLU_BIOMD0000001063 +BIOMD0000001090,CLU_BIOMD0000001090 +BIOMD0000001091,CLU_BIOMD0000001091 +BIOMD0000001092,CLU_BIOMD0000001092 +BIOMD0000001093,CLU_BIOMD0000001093 diff --git a/benchmark/data/model_context.csv b/benchmark/data/model_context.csv new file mode 100644 index 0000000..7d6c771 --- /dev/null +++ b/benchmark/data/model_context.csv @@ -0,0 +1,75 @@ +model_id,model_title,model_notes,sbml_level,sbml_version,num_species,num_reactions_total +BIOMD0000000013,Poolman2004_CalvinCycle,"This a model from the article: Applications of metabolic modelling to plant metabolism. Poolman MG ,Assmus HE, Fell DA J. Exp. Bot. [2004 May; Volume: 55 (Issue: 400 )]: 1177-86 15073223 , Abstract: In this paper some of the general concepts underpinning the computer modelling of metabolic systems are introduced. The difference between kinetic and structural modelling is emphasized, and the more important techniques from both, along with the physiological implications, are described. These approaches are then illustrated by descriptions of other work, in which they have been applied to models of the Calvin cycle, sucrose metabolism in sugar cane, and starch metabolism in potatoes. This model describes the non oxidative Calvin cycle as depicted in Poolman et al; J Exp Bot (2004) 55:1177-1186, fig 2. Reaction E20: E4P + F6P ↔ S7P + GAP, is depicted in the figure, but not included in the model. The light reaction: ADP + P i → ATP, is included in the model, but only mentioned in the figure caption. The parameters and initial concentrations are the same as in Poolman, 1999, Computer Modelling Applied to the Calvin Cycle, PhD Thesis, Oxford Brookes University, Appendix A (available at at http://mudshark.brookes.ac.uk/index.php/Publications/Theses/Mark ) © Mark Poolman (mgpoolman@brookes.ac.uk) 1995-2002 Based on a description by Pettersson 1988, Eur. J. Biochem. 175, 661-672 Differences are: 1 - Reactions assumed by Pettersson to be in equilibrium have fast mass action kinetics. 2 - Introduction of the parameter PGAxpMult to modulate PGA export through TPT. 3 - Introduction of Starch phosphorylase reaction. This file may be freely copied or translated into other formats provided: 1 - This notice is reproduced in its entirety 2 - Published material making use of (information gained from) this model cites at least: (a) Poolman, 1999, Computer Modelling Applied to the Calvin Cycle, PhD Thesis, Oxford Brookes University (b) Poolman, Fell, and Thomas. 2000, Modelling Photosynthesis and its control, J. Exp. Bot. 51, 319-328 or (c) Poolman et al. 2001, Computer modelling and experimental evidence for two steady states in the photosynthetic Calvin cycle. Eur. J. Biochem. 268, 2810-2816 Further related information may be found at http://mudshark.brookes.ac.uk . This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2012 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,27,21 +BIOMD0000000015,Curto1998 - purine metabolism,"Curto1998 - purine metabolism This is a purine metabolism model that is geared toward studies of gout. The model uses Generalized Mass Action (GMA; i.e. power law) descriptions of reaction rate laws. Such descriptions are local approximations that assume independent substrate binding. This model is described in the article: Mathematical models of purine metabolism in man. Curto R, Voit EO, Sorribas A, Cascante M. Math Biosci 1998 Jul; 151(1): 1-49 Abstract: Experimental and clinical data on purine metabolism are collated and analyzed with three mathematical models. The first model is the result of an attempt to construct a traditional kinetic model based on Michaelis-Menten rate laws. This attempt is only partially successful, since kinetic information, while extensive, is not complete, and since qualitative information is difficult to incorporate into this type of model. The data gaps necessitate the complementation of the Michaelis-Menten model with other functional forms that can incorporate different types of data. The most convenient and established representations for this purpose are rate laws formulated as power-law functions, and these are used to construct a Complemented Michaelis-Menten (CMM) model. The other two models are pure power-law-representations, one in the form of a Generalized Mass Action (GMA) system, and the other one in the form of an S-system. The first part of the paper contains a compendium of experimental data necessary for any model of purine metabolism. This is followed by the formulation of the three models and a comparative analysis. For physiological and moderately pathological perturbations in metabolites or enzymes, the results of the three models are very similar and consistent with clinical findings. This is an encouraging result since the three models have different structures and data requirements and are based on different mathematical assumptions. Significant enzyme deficiencies are not so well modeled by the S-system model. The CMM model captures the dynamics better, but judging by comparisons with clinical observations, the best model in this case is the GMA model. The model results are discussed in some detail, along with advantages and disadvantages of each modeling strategy. This model is hosted on BioModels Database and identified by: BIOMD0000000015 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,1,18,37 +BIOMD0000000017,Hoefnagel2002_PyruvateBranches,"This a model from the article: Metabolic engineering of lactic acid bacteria, the combined approach: kinetic modelling, metabolic control and experimental analysis. Hoefnagel MH, Starrenburg MJ, Martens DE, Hugenholtz J, Kleerebezem M, Van Swam II, Bongers R, Westerhoff HV, Snoep JL Microbiology 2002 Apr; 148(4):1003-13 11932446 , Abstract: Everyone who has ever tried to radically change metabolic fluxes knows that it is often harder to determine which enzymes have to be modified than it is to actually implement these changes. In the more traditional genetic engineering approaches ’bottle-necks’ are pinpointed using qualitative, intuitive approaches, but the alleviation of suspected ’rate-limiting’ steps has not often been successful. Here the authors demonstrate that a model of pyruvate distribution in Lactococcus lactis based on enzyme kinetics in combination with metabolic control analysis clearly indicates the key control points in the flux to acetoin and diacetyl, important flavour compounds. The model presented here (available at http://jjj.biochem.sun.ac.za/wcfs.html) showed that the enzymes with the greatest effect on this flux resided outside the acetolactate synthase branch itself. Experiments confirmed the predictions of the model, i.e. knocking out lactate dehydrogenase and overexpressing NADH oxidase increased the flux through the acetolactate synthase branch from 0 to 75% of measured product formation rates. The paper does not have any figure to be put as a curation figure in the BioModels database. The model does reproduce the fluxes and control-coefficients given in Figure 2 and Table 4. To reproduce the results, the model was changed from the description in the article according to the model on JWS: the parameter Kmpyr was changed to 2.5 from 25. The equillibrium constant for PTA reaction (R4) was changed from 0.0281 to 0.0065. The Km for oxygen in the NOX reaction (R13) was changed from 0.01 to 0.2. Slight deviations between the values in the article and the model results may stem from different algorithms used for finding the steady state. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2010 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,19,14 +BIOMD0000000018,Morrison1989 - Folate Cycle,"Morrison1989 - Folate Cycle The model describes the folate cycle kinetics in breast cancer cells. This model is described in the article: Folate cycle kinetics in human breast cancer cells. Morrison PF, Allegra CJ. J. Biol. Chem. 1989 Jun; 264(18): 10552-10566 Abstract: A mathematical description of polyglutamated folate kinetics for human breast carcinoma cells (MCF-7) has been formulated based upon experimental folate, methotrexate (MTX), purine, and pyrimidine pool sizes as well as reaction rate parameters obtained from intact MCF-7 cells and their enzyme isolates. The schema accounts for the interconversion of highly polyglutamated tetrahydrofolate, 5-methyl-FH4, 5-10-CH2FH4, dihydrofolate (FH2), 10-formyl-FH4 (FFH4), and 10-formyl-FH2 (FFH2), as well as formation and transport of the MTX polyglutamates. Inhibition mechanisms have been chosen to reproduce all observed non-, un-, and pure competition inhibition patterns. Steady state folate concentrations and thymidylate and purine synthesis rates in drug-free intact cells were used to determine normal folate Vmax values. The resulting average-cell folate model, examined for its ability to predict folate pool behavior following exposure to 1 microM MTX over 21 h, agreed well with the experiment, including a relative preservation of the FFH4 and CH2FH4 pools. The results depend strongly on thymidylate synthase (TS) reaction mechanism, especially the assumption that MTX di- and triglutamates inhibit TS synthesis as greatly in the intact cell as they do with purified enzyme. The effects of cell cycle dependence of TS and dihydrofolate reductase activities were also examined by introducing G- to S-phase activity ratios of these enzymes into the model. For activity ratios down to at least 5%, cell population averaged folate pools were only slightly affected, while CH2FH4 pools in S-phase cells were reduced to as little as 10% of control values. Significantly, these folate pool dynamics were indicated to arise from both direct inhibition by MTX polyglutamates as well as inhibition by elevated levels of polyglutamated FH2 and FFH2. Note: two flow BCs were converted into two downstream concentration BCs, thus removing the GAR and dUMP state variables. This dropped the number of ODEs from 21 to 19. This model is hosted on BioModels Database and identified by: BIOMD0000000018 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,1,33,47 +BIOMD0000000023,Rohwer2001_Sucrose,"SBML Level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS . Run this model online at http://jjj.biochem.sun.ac.za . To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.",2,4,13,11 +BIOMD0000000038,Rohwer2000_Phosphotransferase_System,"SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144",2,1,17,10 +BIOMD0000000042,Nielsen1998_Glycolysis,"This model was automatically converted from model BIOMD0000000042 by using libSBML . According to the BioModels Database terms of use , this generated model is not related with model BIOMD0000000042 any more.",2,4,15,25 +BIOMD0000000046,Olsen2003_peroxidase,"Notes of the BioModels curators: The current model reproduce the figure 7, panel B of the paper. Note that there is a typo in the figure. The ordinates represent the concentration of peroxyde, as stated in the legend, and not of oxygen. The model has been tested in COPASI (http://www.copasi.org/, build 13). Notes of the original version of the SBML file: SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,16,15 +BIOMD0000000051,Chassagnole2002_Carbon_Metabolism,"The model reproduces Figures 4,5 and 6 of the publication. The analytical functions for cometabolites Catp, Camp, Cnadph, and Cnadp slightly differ from the equations given in the paper. These changes were made in consultation with Dr. Christophe Chassagnole and are essential for reproducing the figures. The dependency of the rate of change of extracellular glucose concentration on the ratio of biomass concentration to specific weight of biomass (Cx*rPTS/Rhox) is taken into account by appropriately adjusting the stoichiometries of the species involved in the phosphotransferase system (rPTS). The rmax values for the various reactions are obtained from experiments and are not provided in the paper. However, these were personally communicated to the JWS repository. The model has been successfully tested on MathSBML. SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,18,48 +BIOMD0000000061,Hynne2001_Glycolysis,"The model reproduces Fig 6 of the paper. The stoichiometry and rate of reactions involving uptake of metabolites from extracellular medium have been changed corresponding to Yvol (ratio of extracellular volume to cytosolic volume) mentioned in the publication. The extracellular and cytosolic compartments have been set to 1. Concentration of extracellular glucose, GlcX, is set to 6.7 according to the equation for cellular glucose uptake rate in Table 7 of the paper. The model was successfully tested on MathSBML and Jarnac . . . SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 . . . . . . This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2009 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.",2,1,25,24 +BIOMD0000000063,Galazzo1990_FermentationPathwayKinetics,"This a model from the article: Fermentation pathway kinetics and metabolic flux control in suspended and immobilized Saccharomyces cerevisiae Jorge L. Galazzo and James E. Bailey Enzyme and Microbial Technology Volume 12, Issue 3, 1990, Pages 162-172. DOI: 10.1016/0141-0229(90)90033-M Abstract: Measurements of rates of glucose uptake and of glycerol and ethanol formation combined with knowledge of the metabolic pathways involved in S. cerevisiae were employed to obtain in vivo rates of reaction catalysed by pathway enzymes for suspended and alginate-entrapped cells at pH 4.5 and 5.5. Intracellular concentrations of substrates and effectors for most key pathway enzymes were estimated from in vivo phosphorus-31 nuclear magnetic resonance measurements. These data show the validity in vivo of kinetic models previously proposed for phosphofructokinase and pyruvate kinase based on in vitro studies. Kinetic representations of hexokinase, glycogen synthetase, and glyceraldehyde 3-phosphate dehydrogenase, which incorporate major regulatory properties of these enzymes, are all consistent with the in vivo data. This detailed model of pathway kinetics and these data on intracellular metabolite concentrations allow evaluation of flux-control coefficients for all key enzymes involved in glucose catabolism under the four different cell environments examined. This analysis indicates that alginate entrapment increases the glucose uptake rate and shifts the step most influencing ethanol production from glucose uptake to phosphofructokinase. The rate of ATP utilization in these nongrowing cells strongly limits ethanol production at pH 5.5 but is relatively insignificant at pH 4.5. SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 . . . . . . Biomodels Curation: The model reproduces Fig 2 of the paper. However, it appears that the figures are swapped, hence the plot for V/Vmax vs Glucose actually represnts V/Vmax vs ATP and the vice versa is true for the other figure. The rate of hexokinase reaction that is obtained upon simulation of the model is 17.24 mM/min, therefore V/Vmax has a value of 17.24/68.5=0.25. For steady state values of Glucose and ATP (0.038 and 1.213 mM respectively), the V/Vmax values correctly correspond to 0.25, if we were to assume that the figures are swapped. BioModels Curation updated on 25 th November 2010: Figure 3 of the reference publication has been reproduced and added as a curation figure for the model. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,9,8 +BIOMD0000000064,Teusink2000_Glycolysis,"Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry. Teusink,B et al.: Eur J Biochem 2000 Sep;267(17):5313-29. The model reproduces the steady-state fluxes and metabolite concentrations of the branched model as given in Table 4 of the paper. It is derived from the model on JWS online, but has the ATP consumption in the succinate branch with the same stoichiometrie as in the publication. The model was successfully tested on copasi v.4.4(build 26). For Vmax values, please note that there is a conversion factor of approx. 270 to convert from U/mg-protein as shown in Table 1 of the paper to mmol/(min*L_cytosol). The equilibrium constant for the ADH reaction in the paper is given for the reverse reaction (Keq = 1.45*10 4 ). The value used in this model is for the forward reaction: 1/Keq = 6.9*10 -5 . Vmax parameters values used (in [mM/min] except VmGLT): VmGLT 97.264 mmol/min VmGLK 226.45 VmPGI 339.667 VmPFK 182.903 VmALD 322.258 VmGAPDH_f 1184.52 VmGAPDH_r 6549.68 VmPGK 1306.45 VmPGM 2525.81 VmENO 365.806 VmPYK 1088.71 VmPDC 174.194 VmG3PDH 70.15 The result of the G6P steady state concentration (marked in red) differs slightly from the one given in table 4. of the publication Results for steady state: orig. article this model Fluxes[mM/min] Glucose 88 88 Ethanol 129 129 Glycogen 6 6 Trehalose 4.8 4.8 (G6P flux through trehalose branch) Glycerol 18.2 18.2 Succinate 3.6 3.6 Conc.[mM] G6P 1.07 1.03 F6P 0.11 0.11 F1,6P 0.6 0.6 DHAP 0.74 0.74 3PGA 0.36 0.36 2PGA 0.04 0.04 PEP 0.07 0.07 PYR 8.52 8.52 AcAld 0.17 0.17 ATP 2.51 2.51 ADP 1.29 1.29 AMP 0.3 0.3 NAD 1.55 1.55 NADH 0.04 0.04 Authors of the publication also mentioned a few misprints in the original article: in the kinetic law for ADH : the species a should denote NAD and b Ethanol the last term in the equation should read bpq /( K ib K iq K p ) in the kinetic law for PFK : R = 1 + λ 1 + λ 2 + g r λ 1 λ 2 equation L should read: L = L0*(..) 2 *(..) 2 *(..) 2 not L = L0*(..) 2 *(..) 2 *(..) To make the model easier to curate, the species ATP , ADP and AMP were added. These are calculated via assignment rules from the active phosphate species, P , and the sum of all AXP , SUM_P . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,26,17 +BIOMD0000000066,Chassagnole2001_Threonine Synthesis,". . . SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 . . . . . . Biomodels Curation: The model reproduces Fig 2f of the paper. The Vmax values for different reactions are obtained by multiplying the specific activites given in Table 3 of the paper with the protein concentration and an assay correction factor that was provided by the authors. The protein concentration is 202 mg/litre. The specific activities that need to be taken into consideration are those given for "variable threonine" in Table 3. The following are the assay correction factors provided by the authors: vak1=1.49; vak3=1.12; vasd=1.14; vhsd=1.42; vts=1.15; vhk=1.13. The model was successfully tested on MathSBML and Jarnac",2,1,11,7 +BIOMD0000000067,Fung2005_Metabolic_Oscillator,"A Synthetic Gene-Metabolic Oscillator Reference: Fung et al; Nature (2005) 435:118-122 Name of kinetic law Reaction Glycolytic flux, V_gly: nil -> AcCoA; Flux to TCA cycle/ETOH, V_TCA: AcCoA -> TCA/EtOH; HOAc ex/import,reversible, V_out: HOAc -> HOAc_E V_Pta: AcCoA + Pi -> AcP + CoA reversible, V_Ack: AcP + ADP -> OAc + ATP V_Acs: OAC + ATP -> AcCoA +PPi Acetic acid-base equillibrium, reversible, V_Ace: OAC + H -> HOAc Expression of LacI, R_LacI: nil -> LacI Expression of Acs, R_Acs: nil -> Acs Expression of Pta, R_Pta: nil -> Pta LacI degradation, R_dLacI: LacI -> nil Acs degradation, R_dAcs: Acs -> nil Pta degradation, R_dPta: Pta -> nil For this model the differential equation for V_Ace was changed from: C*(AcP*H-K_eq*OAC) with C = 100 in the supplemental material to C*(OAc*H-K_eq*HOAc) with C = 100, as in Bulter et. al; PNAS(2004),101,2299-2304 , and a value for K_eq of 5*10^-4 after communication with the authors. translated to SBML by: Lukas Endler(luen at tbi.univie.ac.at), Christoph Flamm (xtof at tbi.univie.ac.at) Biomodels Curation The model reproduces 3a of the paper for glycolytic flux Vgly = 0.5. The authors have agreed that the values on Y-axis are marked wrong and hence there is a discrepancy between model simulation results and the figure. Also, note that the values of concentration and time are in dimensionless units. The model was successfully tested on MathSBML and Jarnac.",2,1,8,13 +BIOMD0000000068,Curien2003_MetThr_synthesis,"This a model from the article: A kinetic model of the branch-point between the methionine and threonine biosynthesis pathways in Arabidopsis thaliana. Curien G, Ravanel S, Dumas R Eur. J. Biochem. 2003 Dec; Volume: 270 (Issue: 23 )]:4615-27 14622248 , Abstract: This work proposes a model of the metabolic branch-point between the methionine and threonine biosynthesis pathways in Arabidopsis thaliana which involves kinetic competition for phosphohomoserine between the allosteric enzyme threonine synthase and the two-substrate enzyme cystathionine gamma-synthase. Threonine synthase is activated by S-adenosylmethionine and inhibited by AMP. Cystathionine gamma-synthase condenses phosphohomoserine to cysteine via a ping-pong mechanism. Reactions are irreversible and inhibited by inorganic phosphate. The modelling procedure included an examination of the kinetic links, the determination of the operating conditions in chloroplasts and the establishment of a computer model using the enzyme rate equations. To test the model, the branch-point was reconstituted with purified enzymes. The computer model showed a partial agreement with the in vitro results. The model was subsequently improved and was then found consistent with flux partition in vitro and in vivo. Under near physiological conditions, S-adenosylmethionine, but not AMP, modulates the partition of a steady-state flux of phosphohomoserine. The computer model indicates a high sensitivity of cystathionine flux to enzyme and S-adenosylmethionine concentrations. Cystathionine flux is sensitive to modulation of threonine flux whereas the reverse is not true. The cystathionine gamma-synthase kinetic mechanism favours a low sensitivity of the fluxes to cysteine. Though sensitivity to inorganic phosphate is low, its concentration conditions the dynamics of the system. Threonine synthase and cystathionine gamma-synthase display similar kinetic efficiencies in the metabolic context considered and are first-order for the phosphohomoserine substrate. Under these conditions outflows are coordinated. SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 Biomodels Curation The model simulates the flux for TS and CGS under conditions given in Table 2 and reproduces the dotted lines given in Table 3 of the paper. There is a typo in the equation for the apparent specificity constant for Phser, Kts (equation13). This was changed after communication with the authors to be: Kts = 5.9E-4+6.2E-2*pow(AdoMet,2.9)/(pow(32,2.9)+pow(AdoMet,2.9)). The model was successfully tested on Jarnac and Copasi. Due to a suggestion from Pedro Mendez the parameter AdoMet, TS and CGS where made constant species. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2010 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,9,3 +BIOMD0000000070,Holzhutter2004_Erythrocyte_Metabolism,". . . SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 . . . . . . Biomodels Curation The model simulates the flux values as given for "kinetic model" in Table 1 of the paper. The model was successfully tested on Jarnac.",2,1,45,38 +BIOMD0000000071,Bakker2001_Glycolysis,". . . SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 . . Biomodels Curation: The paper refers to the model equations present in Bakker et al's " Glycolysis in bloodstream from Trypanosoma brucei can be understood in terms of the kinetics of glycolytic enzymes" (Pubmed ID: 9013556), also, the authors claim that some of the modifications in these equations were made based on the experimental results from the paper "Contribution of glucose transport in the control of glycolytic flux in Trypanosoma brucei" (Pubmed ID: 10468568). The model reproduces the various flux values in Fig 3 for 100% TPI activity. It also matches with the values provided in Table 2 of the paper. The model was successfully tested with Copasi and SBML ODE Solver. The volumes are set to the values containing 1 mg of total protein per microlitre total cell volume. To change the protein concentration use Vt , the total cell volume in micro litre per mg protein. To change the TPI activity use the global parameter TPIact . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,27,14 +BIOMD0000000076,Cronwright2002_Glycerol_Synthesis,". . . SBML level 2 code generated for the JWS Online project by Jacky Snoep using PySCeS Run this model online at http://jjj.biochem.sun.ac.za To cite JWS Online please refer to: Olivier, B.G. and Snoep, J.L. (2004) Web-based modelling using JWS Online , Bioinformatics, 20:2143-2144 . . . . . . Biomodels Curation The model reproduces the flux value of "Gpp p" (rate of Glycerol synthesis) as depicted in Fig 3 of the paper. The model reproduces the flux for early exponential phase , however it can be used to reproduce the values for other phases by plugging in appropriate values for maximal rates as given in Table 1 and metabolite concentrations as given in Table 2 of the paper. The model was succesfully reproduced using Jarnac.",2,1,3,2 +BIOMD0000000081,Suh2004_KCNQ_Regulation,"The model reproduces FIG 11A and FIG 11B of the paper. However, please note that FIG 11B is a plot of normalised amounts versus time. The "stoichiometry" field has been used to convert fluxes from membrane species to volume species. The value of 0.0009967 is a product of (Surface to Volume_M*(1/Avagadro's number)*1E21. 0.6 is the surface to volume ratio of the plasma membrane, 1E21 is required for a unit surface to volume ratio and the Avagadro's number is present in the denominator to convert molecules to moles. The model was successfully tested using MathSBML and SBML ODESolver. All the kinetic laws have the unit items per second , which requires the one reaction taking place in the cytoplasm - IP3Phosphatase - to include an explicit conversion factor both in the kinetic law and the stoichiometry of IP3_C . The kinetic law is multiplied and the stoichiometry divided by the number of molecules per micro-mole. This conversion factor is only required for correct units and can be replaced by 1, if it should lead to numerical problems. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",3,1,23,15 +BIOMD0000000088,Maeda2006_MyosinPhosphorylation,"The model reproduces Fig 2B, D, F, and 2H. The dynamics correspond to a stimulus of 1 U/ml of thrombin which is equal to 0.01 uM. Phosphorylated MLC is the sum of pMLC (s359) and ppMLC (s360). A slight discrepancy in peak values of species between the figure in the paper and simulation result might be due to different initial conditions in the two sets. The model was successfully tested on MathSBML. It is possible to simulate the model on other software that do not support "Events" at this time by removing the "listOfEvents" and substituting a value of 0.01 for thrombin (s2). This does not change the model very much. With the latter format, the model was also successfully tested on Copasi. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,105,110 +BIOMD0000000093,Yamada2003_JAK_STAT_pathway,"NCBS Curation Comments This model shows the control mechanism of Jak-Stat pathway, here SOCS1 (Suppressor of cytokine signaling-I) was identified as the negative regulator of Jak and STAT signal transduction pathway. Note: There are a few ambiguities in the paper like initial concentration of IFN and some reactions were missing in the paper that were employed for obtaining the results. The graphs are almost similar to the graphs as shown in the paper but still some ambiguities regarding the concentration are there. Thanks to Dr Satoshi Yamada for clarifying some of those ambiguities and providing the values used in simulations. Biomodels Curation Comments The model reproduces Fig 2 (A,C,E,G,I,K,M) of the paper. The set of equations present in the paper are inadequate to reproduce the figures mentioned . The model appears to have been fine tuned after correspondence between the curators at NCBS and the authors. There is however a slight discrepancy between the simulation results and the plots in the paper. The model was tested on MathSBML. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2006 The BioModels Team. For more information see the terms of use .",2,1,34,46 +BIOMD0000000094,Yamada2003_JAK_STAT_SOCS1_knockout,"NCBS Curation Comments: This model shows the control mechanism of Jak-Stat pathway, here SOCS1 (Suppressor of cytokine signaling-I) was identified as the negative regulator of Jak and STAT signal transduction pathway. This is the knockout version of Jak-Stat pathway in this model the SOCS1 has been knocked out i.e it formation is not shown. The graphs are almost similar to the graphs as shown in the paper but STAT1n graph has some ambiguities. Thanks to Dr Satoshi Yamada for clarifying some of those ambiguities and providing the values used in simulations. Biomodels Curation Comments: The model reproduces the figures 2 (B,D,F,H,J,L,N) corresponding to JAK/STAT activation in SOCS1 knock out cells. The model was successfully tested on MathSBML This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2006 The BioModels Team. For more information see the terms of use .",2,1,34,45 +BIOMD0000000108,Kowald2006_SOD,"This model is according to the paper from Axel Kowald Alternative pathways as mechanism for the negative effects associated with overexpression of superoxide dismutase. Reactions from 1 to 17 are listed in the paper, note that for clarity species whose concentrations are assumed to be constant (e.g.water, oxygen,protons, metal ions) are omitted from the diagram. In the paper, v16 is a fast reaction, but we do not use fast reaction in the model. Figure2 has been reproduced by both SBMLodeSolver and Copasi4.0.20(development) . Figure 3 has been obtained with Copasi4.0.20(development) using parameter scan. The steady-state of [LOO*] a little bit lower than showed on the paper, I guess it may be the simulation method used in the paper use fast reaction and also the reaction (5) listed on Page 831 on the paper is slightly different from equation (2) on Page 832. The rest of them are the quite the same. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,9,17 +BIOMD0000000122,Fisher2006_Ca_Oscillation_dpdnt_NFAT_dynamics,"The model reproduces the calcium oscillation dependent activation-deactivation kinetics of nuclear factor of activated T cells (NFAT) as depicted in Fig 4a of the paper. A simple algorithm in the events section takes care of the calcium oscillation. The model was successfully tested on MathSBML. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,14,17 +BIOMD0000000123,Fisher2006_NFAT_Activation,"The model reproduces the kinetics of the nuclear factor of activated cells (NFAT) as depicted in Figure 3a of the paper. Model was successfully tested on Jarnac and MathSBML To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,14,17 +BIOMD0000000137,Sedaghat2002_InsulinSignalling_noFeedback,"Model reproduces the various plots in Figure 6 and 7 of the paper. It was successfully tested on MathSBML. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,21,20 +BIOMD0000000143,Olsen2003_neutrophil_oscillatory_metabolism,"Olsen2003_neutrophil_oscillatory_metabolism This model is described in the article: A model of the oscillatory metabolism of activated neutrophils. Olsen LF, Kummer U, Kindzelskii AL, Petty HR. Biophys. J. 2003 Jan; 84(1): 69-81 Abstract: We present a two-compartment model to explain the oscillatory behavior observed experimentally in activated neutrophils. Our model is based mainly on the peroxidase-oxidase reaction catalyzed by myeloperoxidase with melatonin as a cofactor and NADPH oxidase, a major protein in the phagosome membrane of the leukocyte. The model predicts that after activation of a neutrophil, an increase in the activity of the hexose monophosphate shunt and the delivery of myeloperoxidase into the phagosome results in oscillations in oxygen and NAD(P)H concentration. The period of oscillation changes from >200 s to 10-30 s. The model is consistent with previously reported oscillations in cell metabolism and oxidant production. Key features and predictions of the model were confirmed experimentally. The requirement of the hexose monophosphate pathway for 10 s oscillations was verified using 6-aminonicotinamide and dexamethasone, which are inhibitors of glucose-6-phosphate dehydrogenase. The role of the NADPH oxidase in promoting oscillations was confirmed by dose-response studies of the effect of diphenylene iodonium, an inhibitor of the NADPH oxidase. Moreover, the model predicted an increase in the amplitude of NADPH oscillations in the presence of melatonin, which was confirmed experimentally. Successful computer modeling of complex chemical dynamics within cells and their chemical perturbation will enhance our ability to identify new antiinflammatory compounds. This model is hosted on BioModels Database and identified by: BIOMD0000000143 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,1,20,20 +BIOMD0000000171,Leloup1998_CircClock_LD,"Leloup and Goldbeter, 1998 This model was created after the article by Leloup and Goldbeter, J Biol Rhythms 1998, Vol:13(1),pp70-87, pubmedID: 9486845 A Model for Circadian Rhythms in Drosophila Incorporating the Formation of a Complex between the PER and TIM Proteins The parameters and initial concentrations are taken to reproduce figs. 4 D,E,F in the publication. For a simulation without light dependent degradation of TIM_pp, change the the parameter v_dT_fac to 1. The light/dark phases length can be set using the parameter l_d . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,12,26 +BIOMD0000000172,Pritchard2002_glycolysis,"from: Schemes of fluc control in a model of Saccharomyces cerevisiae glycolysis Pritchard, L and Kell, DB Eur. J. Biochem. 269(2002), 3894-3904. It represents a modified version of Teusink et al. Eur. J. Biochem. 267(2000), 5313-5329. The model is a translation from the GEPASI file encoded by Leighton Pritchard. This version uses the Vmaxes found by the best fit (R1) of Table 1 of the Pritchard and Kell paper and simulates a decrease of external glucose concentration from 100 to 2 mM. To reproduce the values in table 2 of the publication, set GLCo to 50 mM and compute the steady state. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,25,19 +BIOMD0000000176,Conant2007_WGD_glycolysis_2A3AB,"This a model from the article: Increased glycolytic flux as an outcome of whole-genome duplication in yeast. Conant GC, Wolfe KH Mol. Syst. Biol. [2007 ; Volume: 3 (Issue: )]: 129 17667951 , Abstract: After whole-genome duplication (WGD), deletions return most loci to single copy. However, duplicate loci may survive through selection for increased dosage. Here, we show how the WGD increased copy number of some glycolytic genes could have conferred an almost immediate selective advantage to an ancestor of Saccharomyces cerevisiae, providing a rationale for the success of the WGD. We propose that the loss of other redundant genes throughout the genome resulted in incremental dosage increases for the surviving duplicated glycolytic genes. This increase gave post-WGD yeasts a growth advantage through rapid glucose fermentation; one of this lineage's many adaptations to glucose-rich environments. Our hypothesis is supported by data from enzyme kinetics and comparative genomics. Because changes in gene dosage follow directly from post-WGD deletions, dosage selection can confer an almost instantaneous benefit after WGD, unlike neofunctionalization or subfunctionalization, which require specific mutations. We also show theoretically that increased fermentative capacity is of greatest advantage when glucose resources are both large and dense, an observation potentially related to the appearance of angiosperms around the time of WGD. The original model submitted by the authors was slightly altered and now comprises the models originally submitted as MODEL2426780967, MODEL2427021978, MODEL2427095802. It reproduces figures 2A,3A and 3B from the publication. This model uses the glycolysis model from Pritchard and Kell (2002) with an additional parameter, WGD_E , to adjust for the differing enzyme conzentrations before the whole genome duplication (WGD) and parameters fV_xxx that adjust the Vmax of the different reactions (xxx eg. HXT or PYK). Figure 3A from the article can be reproduced by changing the value of the parameters fV_xxx to 0.9 indiviually, with xxx signifying the different enzymes (HXT, HXK ...) Figure 3B from the publication can be reproduced by setting the parameter WGD_E to 0.75 and individually setting the parameters fV_xxx to 1.333. To reproduce figure 2A from the article change the parameter WGD_E in the range between 0.65 and 1.0. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2012 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,25,19 +BIOMD0000000177,Conant2007_glycolysis_2C,"This a model from the article: Increased glycolytic flux as an outcome of whole-genome duplication in yeast. Conant GC, Wolfe KH Mol. Syst. Biol. [2007 ; Volume: 3 (Issue: )]: 129 17667951 , Abstract: After whole-genome duplication (WGD), deletions return most loci to single copy. However, duplicate loci may survive through selection for increased dosage. Here, we show how the WGD increased copy number of some glycolytic genes could have conferred an almost immediate selective advantage to an ancestor of Saccharomyces cerevisiae, providing a rationale for the success of the WGD. We propose that the loss of other redundant genes throughout the genome resulted in incremental dosage increases for the surviving duplicated glycolytic genes. This increase gave post-WGD yeasts a growth advantage through rapid glucose fermentation; one of this lineage's many adaptations to glucose-rich environments. Our hypothesis is supported by data from enzyme kinetics and comparative genomics. Because changes in gene dosage follow directly from post-WGD deletions, dosage selection can confer an almost instantaneous benefit after WGD, unlike neofunctionalization or subfunctionalization, which require specific mutations. We also show theoretically that increased fermentative capacity is of greatest advantage when glucose resources are both large and dense, an observation potentially related to the appearance of angiosperms around the time of WGD. This model reproduces fig. 2C from the corrigendum to the publication The parameter Vmax_PDH was corrected by a factor 60 from 6.32 mM/min in the publication to 379.2 mM/min in accordance with the authors. see the corrigendum at msb or its pubmed entry (pmid:18594520) This model comprises the glycolysis model from Pritchard and Kell (2002) with an extension for the metabolisation of pyruvate in the mitochondria by pyruvate dehydrogenase and an additional parameter, WGD_E , to adjust for the differing enzyme concentrations before the whole genome duplication (WGD). To switch off transport of pyruvate to the mitochondria, set the parameter t_m = 0. Figure 2C from the article can be reproduced by manually changing the value of parameter WGD_E in the range between 0.65 and 1.0 and calculating the ratios of ratio of PDC/PDH fluxes in the altered model to the one of the model with WGD_E = 1. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2012 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,1,28,21 +BIOMD0000000190,Rodriguez-Caso2006_Polyamine_Metabolism,"SBML creators: Armando Reyes-Palomares * , Carlos Rodríguez-Caso +, Raul Montañez * , Marta Cascante $, Francisca Sánchez-Jiménez * , Miguel A. Medina * * ProCel Group, Department of Molecular Biology and Biochemistry, Faculty of Sciences, Campus de Teatinos, University of Malaga and CIBER de Enfermedades Raras (CIBER-ER). + Complex Systems Lab (ICREA-UPF), Barcelona Biomedical Research Park (PRBB-GRIB). $ Department of Biochemistry and Molecular Biology, Faculty of Biology, Universitat de Barcelona. http://asp.uma.es Metabolic modeling of polyamine metabolism in mammals. Rodríguez-Caso,C et al.: J Biol Chem 2006 : 281:21799-812. The model reproduces the dynamical behavior of the polyamine metabolism in mammals. In this model there are some additions and corrections to the publication. All perturbations and analysis have produced results very close to the published experiments. The model was successfully tested on CoPaSi v.4.4 (build 26). Parameters not included in the publication: 1. Parameters for SSAT kinetic constants: KmAcCoA = 1.5 µM KmCoA = 40 µM 2. Parameters for equation MAT (table 1): Vmax_MAT = 0.45 µM/min Km_MAT = 41 µM Ki_MET_MAT = 50 µM 3. Erratum.: The corrected ODE for time-dependent variable Antz is: KsANTZ*(1-1/(1+Keq*0.01*([D]+[S])))-KdANTZ*[Antz] According to these modifications the new steady-state analysis results are: Metabolites: [P]= 104.681 µM [D]= 76.7492 µM [S]= 58.0135 µM [SAM]= 52.327 µM [A]= 0.0101962 µM [aS]= 0.0245375 µM [aD]= 0.832236 µM Time-dependent global parameters: [Antz] = 0.574038 µM Vmaxodc = 1.28315 µM/min Vmaxssat = 0.673814 µM/min Vmaxsamdc = 0.36829 µM/min To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,3,11,13 +BIOMD0000000191,Montañez2008_Arginine_catabolism,"SBML creators: Armando Reyes-Palomares * , Raul Montañez *, Carlos Rodriguez-Caso +, Francisca Sanchez-Jimenez * , Miguel A. Medina * * ProCel Group, Department of Molecular Biology and Biochemistry, Faculty of Sciences, Campus de Teatinos, University of Malaga and CIBER de Enfermedades Raras (CIBER-ER). + Complex Systems Lab (ICREA-UPF), Barcelona Biomedical Research Park (PRBB-GRIB). http://asp.uma.es In silico analysis of arginine catabolism as a source of nitric oxide or polyamines in endothelial cells. Montañez, R et al.: Amino Acids. 2008 Feb;34(2):223-9. The model reproduces the dynamical behavior of the arginine catabolism and transport in relation to the nitric oxide production. In this model there are some additions and corrections to the publication. All perturbations and analysis have produced results very close to the published experiments. The model was successfully tested on CoPaSi v.4.4 (build 26). Erratum: parameters values modificated respect to the publication to reach the steady-state: Kmodc=90 µM (60 µM in the paper) Kiornhat (is equivalent to the parameter Kmefflhat Eq ) = 360 µM (380 µM in the paper) To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,3,3,5 +BIOMD0000000206,Wolf2000_Glycolytic_Oscillations,"Model reproduces the dynamics of ATP and NADH as depicted in Fig 4 of the paper. Model successfully tested on Jarnac and MathSBML. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,3,9,11 +BIOMD0000000211,Albert2005_Glycolysis,"This model is from the article: Experimental and in silico analyses of glycolytic flux control in bloodstream form Trypanosoma brucei. Albert MA, Haanstra JR, Hannaert V, Van Roy J, Opperdoes FR, Bakker BM, Michels PA. J Biol Chem 2005 Aug 5;280(31):28306-15. 15955817 , Abstract: A mathematical model of glycolysis in bloodstream form Trypanosoma brucei was developed previously on the basis of all available enzyme kinetic data (Bakker, B. M., Michels, P. A. M., Opperdoes, F. R., and Westerhoff, H. V. (1997) J. Biol. Chem. 272, 3207-3215). The model predicted correctly the fluxes and cellular metabolite concentrations as measured in non-growing trypanosomes and the major contribution to the flux control exerted by the plasma membrane glucose transporter. Surprisingly, a large overcapacity was predicted for hexokinase (HXK), phosphofructokinase (PFK), and pyruvate kinase (PYK). Here, we present our further analysis of the control of glycolytic flux in bloodstream form T. brucei. First, the model was optimized and extended with recent information about the kinetics of enzymes and their activities as measured in lysates of in vitro cultured growing trypanosomes. Second, the concentrations of five glycolytic enzymes (HXK, PFK, phosphoglycerate mutase, enolase, and PYK) in trypanosomes were changed by RNA interference. The effects of the knockdown of these enzymes on the growth, activities, and levels of various enzymes and glycolytic flux were studied and compared with model predictions. Data thus obtained support the conclusion from the in silico analysis that HXK, PFK, and PYK are in excess, albeit less than predicted. Interestingly, depletion of PFK and enolase had an effect on the activity (but not, or to a lesser extent, expression) of some other glycolytic enzymes. Enzymes located both in the glycosomes (the peroxisome-like organelles harboring the first seven enzymes of the glycolytic pathway of trypanosomes) and in the cytosol were affected. These data suggest the existence of novel regulatory mechanisms operating in trypanosome glycolysis. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2012 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,3,27,21 +BIOMD0000000212,Curien2009_Aspartate_Metabolism,"This a model described in the article: Understanding the regulation of aspartate metabolism using a model based on measured kinetic parameters. Curien G, Bastien O, Robert-Genthon M, Cornish-Bowden A, Cárdenas ML, Dumas R. Mol Syst Biol. 2009;5:271. Epub 2009 May 19. PMID: 19455135 , doi: 10.1038/msb.2009.29 Abstract: The aspartate-derived amino-acid pathway from plants is well suited for analysing the function of the allosteric network of interactions in branched pathways. For this purpose, a detailed kinetic model of the system in the plant model Arabidopsis was constructed on the basis of in vitro kinetic measurements. The data, assembled into a mathematical model, reproduce in vivo measurements and also provide non-intuitive predictions. A crucial result is the identification of allosteric interactions whose function is not to couple demand and supply but to maintain a high independence between fluxes in competing pathways. In addition, the model shows that enzyme isoforms are not functionally redundant, because they contribute unequally to the flux and its regulation. Another result is the identification of the threonine concentration as the most sensitive variable in the system, suggesting a regulatory role for threonine at a higher level of integration. The limiting rates for the tRNA synthetase reactions, V_Lys_RS, V_Thr_RS and V_Ile_RS, are all assigned a joined value, Vmax_AA_RS, to facilitate reproduction of the results in the publication. To alter these rates seperately these assignments have to be changed or removed. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2009 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.",2,4,31,18 +BIOMD0000000213,Nijhout2004_Folate_Cycle,"This is an SBML version of the folate cycle model model from: A mathematical model of the folate cycle: new insights into folate homeostasis. Nijhout HF, Reed MC, Budu P, Ulrich CM J. Biol. Chem.,2004, 279 (53),55008-16 pubmedID: 15496403 Abstract: A mathematical model is developed for the folate cycle based on standard biochemical kinetics. We use the model to provide new insights into several different mechanisms of folate homeostasis. The model reproduces the known pool sizes of folate substrates and the fluxes through each of the loops of the folate cycle and has the qualitative behavior observed in a variety of experimental studies. Vitamin B(12) deficiency, modeled as a reduction in the V(max) of the methionine synthase reaction, results in a secondary folate deficiency via the accumulation of folate as 5-methyltetrahydrofolate (the "methyl trap"). One form of homeostasis is revealed by the fact that a 100-fold up-regulation of thymidylate synthase and dihydrofolate reductase (known to occur at the G(1)/S transition) dramatically increases pyrimidine production without affecting the other reactions of the folate cycle. The model also predicts that an almost total inhibition of dihydrofolate reductase is required to significantly inhibit the thymidylate synthase reaction, consistent with experimental and clinical studies on the effects of methotrexate. Sensitivity to variation in enzymatic parameters tends to be local in the cycle and inversely proportional to the number of reactions that interconvert two folate substrates. Another form of homeostasis is a consequence of the nonenzymatic binding of folate substrates to folate enzymes. Without folate binding, the velocities of the reactions decrease approximately linearly as total folate is decreased. In the presence of folate binding and allosteric inhibition, the velocities show a remarkable constancy as total folate is decreased. This model was encoded by Michal Galdzicki from a MatLab file send to him by Prof. Michael Reed. There some differences in this model compared to the one described in the article, possible due to typos in the publication: 1) reaction NE (THF + H2CO <=> 5,10-CH2-THF) in the article has H2C=O as a reactant and is mentioned to display pseudo first order mass action kinetics, while in the matlab file formic acid, also used in reaction FTS, is included in the rate law for the forward reaction. 2) the reaction MS is modeled after Reed et al. 2004, which is not explicitly mentioned in the article, although Kd and the parameters from Reed et al. 2004 are given. 3) in the kinetic law of the SHTM reaction (THF + Ser <=> 5,10-CH2-THF + Gly), there are separate values given for Km,Gly and Km,5,10-CH2-THF in the article. in the matlab file and the SBML model Km,Ser and Km,THF are used instead of Km,Gly and Km,5,10-CH2-THF for the backwards reaction. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,3,14,12 +BIOMD0000000218,Singh2006_TCA_mtu_model2,"This a model from the article: Kinetic modeling of tricarboxylic acid cycle and glyoxylate bypass in Mycobacterium tuberculosis, and its application to assessment of drug targets. Singh VK , Ghosh I Theor Biol Med Model 2006 Aug 3;3:27 16887020 , Abstract: BACKGROUND: Targeting persistent tubercule bacilli has become an important challenge in the development of anti-tuberculous drugs. As the glyoxylate bypass is essential for persistent bacilli, interference with it holds the potential for designing new antibacterial drugs. We have developed kinetic models of the tricarboxylic acid cycle and glyoxylate bypass in Escherichia coli and Mycobacterium tuberculosis, and studied the effects of inhibition of various enzymes in the M. tuberculosis model. RESULTS: We used E. coli to validate the pathway-modeling protocol and showed that changes in metabolic flux can be estimated from gene expression data. The M. tuberculosis model reproduced the observation that deletion of one ofthe two isocitrate lyase genes has little effect on bacterial growth in macrophages, but deletion of both genes leads to the elimination of the bacilli from the lungs. It also substantiated the inhibition of isocitrate lyases by 3-nitropropionate. On the basis of our simulation studies, we propose that: (i) fractional inactivation of both isocitrate dehydrogenase 1 and isocitrate dehydrogenase 2 is required for a flux through the glyoxylate bypass in persistent mycobacteria; and (ii) increasing the amount of active isocitrate dehydrogenases can stop the flux through the glyoxylate bypass, so the kinase that inactivates isocitrate dehydrogenase 1 and/or the proposed inactivator of isocitrate dehydrogenase 2 is a potential target for drugs against persistent mycobacteria. In addition, competitive inhibition of isocitrate lyases along with a reduction in the inactivation of isocitrate dehydrogenases appears to be a feasible strategy for targeting persistent mycobacteria. CONCLUSION: We used kinetic modeling of biochemical pathways to assess various potential anti-tuberculous drug targets that interfere with the glyoxylate bypass flux, and indicated the type of inhibition needed to eliminate the pathogen. The advantage of such an approach to the assessment of drug targets is that it facilitates the study of systemic effect(s) of the modulation of the target enzyme(s) in the cellular environment. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,13,14 +BIOMD0000000219,Singh2006_TCA_mtu_model1,"This a model from the article: Kinetic modeling of tricarboxylic acid cycle and glyoxylate bypass in Mycobacterium tuberculosis, and its application to assessment of drug targets. Singh VK , Ghosh I Theor Biol Med Model 2006 Aug 3;3:27 16887020 , Abstract: BACKGROUND: Targeting persistent tubercule bacilli has become an important challenge in the development of anti-tuberculous drugs. As the glyoxylate bypass is essential for persistent bacilli, interference with it holds the potential for designing new antibacterial drugs. We have developed kinetic models of the tricarboxylic acid cycle and glyoxylate bypass in Escherichia coli and Mycobacterium tuberculosis, and studied the effects of inhibition of various enzymes in the M. tuberculosis model. RESULTS: We used E. coli to validate the pathway-modeling protocol and showed that changes in metabolic flux can be estimated from gene expression data. The M. tuberculosis model reproduced the observation that deletion of one of the two isocitrate lyase genes has little effect on bacterial growth in macrophages, but deletion of both genes leads to the elimination of the bacilli from the lungs. It also substantiated the inhibition of isocitrate lyases by 3-nitropropionate. On the basis of our simulation studies, we propose that: (i) fractional inactivation of both isocitrate dehydrogenase 1 and isocitrate dehydrogenase 2 is required for a flux through the glyoxylate bypass in persistent mycobacteria; and (ii) increasing the amount of active isocitrate dehydrogenases can stop the flux through the glyoxylate bypass, so the kinase that inactivates isocitrate dehydrogenase 1 and/or the proposed inactivator of isocitrate dehydrogenase 2 is a potential target for drugs against persistent mycobacteria. In addition, competitive inhibition of isocitrate lyases along with a reduction in the inactivation of isocitrate dehydrogenases appears to be a feasible strategy for targeting persistent mycobacteria. CONCLUSION: We used kinetic modeling of biochemical pathways to assess various potential anti-tuberculous drug targets that interfere with the glyoxylate bypass flux, and indicated the type of inhibition needed to eliminate the pathogen. The advantage of such an approach to the assessment of drug targets is that it facilitates the study of systemic effect(s) of the modulation of the target enzyme(s) in the cellular environment. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2010 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,13,15 +BIOMD0000000221,Singh2006_TCA_Ecoli_acetate,"This a model from the article: Kinetic modeling of tricarboxylic acid cycle and glyoxylate bypass in Mycobacterium tuberculosis, and its application to assessment of drug targets. Singh VK , Ghosh I Theor Biol Med Model 2006 Aug 3;3:27 16887020 , Abstract: BACKGROUND: Targeting persistent tubercule bacilli has become an important challenge in the development of anti-tuberculous drugs. As the glyoxylate bypass is essential for persistent bacilli, interference with it holds the potential for designing new antibacterial drugs. We have developed kinetic models of the tricarboxylic acid cycle and glyoxylate bypass in Escherichia coli and Mycobacterium tuberculosis, and studied the effects of inhibition of various enzymes in the M. tuberculosis model. RESULTS: We used E. coli to validate the pathway-modeling protocol and showed that changes in metabolic flux can be estimated from gene expression data. The M. tuberculosis model reproduced the observation that deletion of one ofthe two isocitrate lyase genes has little effect on bacterial growth in macrophages, but deletion of both genes leads to the elimination of the bacilli from the lungs. It also substantiated the inhibition of isocitrate lyases by 3-nitropropionate. On the basis of our simulation studies, we propose that: (i) fractional inactivation of both isocitrate dehydrogenase 1 and isocitrate dehydrogenase 2 is required for a flux through the glyoxylate bypass in persistent mycobacteria; and (ii) increasing the amount of active isocitrate dehydrogenases can stop the flux through the glyoxylate bypass, so the kinase that inactivates isocitrate dehydrogenase 1 and/or the proposed inactivator of isocitrate dehydrogenase 2 is a potential target for drugs against persistent mycobacteria. In addition, competitive inhibition of isocitrate lyases along with a reduction in the inactivation of isocitrate dehydrogenases appears to be a feasible strategy for targeting persistent mycobacteria. CONCLUSION: We used kinetic modeling of biochemical pathways to assess various potential anti-tuberculous drug targets that interfere with the glyoxylate bypass flux, and indicated the type of inhibition needed to eliminate the pathogen. The advantage of such an approach to the assessment of drug targets is that it facilitates the study of systemic effect(s) of the modulation of the target enzyme(s) in the cellular environment. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,12,11 +BIOMD0000000222,Singh2006_TCA_Ecoli_glucose,"This a model from the article: Kinetic modeling of tricarboxylic acid cycle and glyoxylate bypass in Mycobacterium tuberculosis, and its application to assessment of drugtargets. Singh VK , Ghosh I Theor Biol Med Model 2006 Aug 3;3:27 16887020 , Abstract: BACKGROUND: Targeting persistent tubercule bacilli has become an important challenge in the development of anti-tuberculous drugs. As the glyoxylate bypass is essential for persistent bacilli, interference with it holds the potential for designing new antibacterial drugs. We have developed kinetic models of the tricarboxylic acid cycle and glyoxylate bypass in Escherichia coli and Mycobacterium tuberculosis, and studied the effects of inhibition of various enzymes in the M. tuberculosis model. RESULTS: We used E. coli to validate the pathway-modeling protocol and showed that changes in metabolic flux can be estimated from gene expression data. The M. tuberculosis model reproduced the observation that deletion of one of the two isocitrate lyase genes has little effect on bacterial growth in macrophages, but deletion of both genes leads to the elimination of the bacilli from the lungs. It also substantiated the inhibition of isocitrate lyases by 3-nitropropionate. On the basis of our simulation studies, we propose that: (i) fractional inactivation of both isocitrate dehydrogenase 1 and isocitrate dehydrogenase 2 is required for a flux through the glyoxylate bypass in persistent mycobacteria; and (ii) increasing the amountof active isocitrate dehydrogenases can stop the flux through the glyoxylate bypass, so the kinase that inactivates isocitrate dehydrogenase 1 and/or the proposed inactivator of isocitrate dehydrogenase 2 is a potential target for drugs against persistent mycobacteria. In addition, competitive inhibition of isocitrate lyases along with a reduction in the inactivation of isocitrate dehydrogenases appears to be a feasible strategy for targeting persistent mycobacteria. CONCLUSION: We used kinetic modeling of biochemical pathways to assess various potential anti-tuberculous drug targets that interfere with the glyoxylate bypass flux, and indicated the type of inhibition needed to eliminate the pathogen. The advantage of such an approach to the assessment of drug targets is that it facilitates the study of systemic effect(s) of the modulation of the target enzyme(s) in the cellular environment. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2010 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,12,11 +BIOMD0000000225,Westermark2003_Pancreatic_GlycOsc_basic,"This is the basic model described in eq. 1 of the article: A model of phosphofructokinase and glycolytic oscillations in the pancreatic beta-cell. Westermark PO and Lansner A. Biophys J. 2003 Jul;85(1):126-39. PMID: 12829470 , doi: 10.1016/S0006-3495(03)74460-9 Abstract: We have constructed a model of the upper part of the glycolysis in the pancreatic beta-cell. The model comprises the enzymatic reactions from glucokinase to glyceraldehyde-3-phosphate dehydrogenase (GAPD). Our results show, for a substantial part of the parameter space, an oscillatory behavior of the glycolysis for a large range of glucose concentrations. We show how the occurrence of oscillations depends on glucokinase, aldolase and/or GAPD activities, and how the oscillation period depends on the phosphofructokinase activity. We propose that the ratio of glucokinase and aldolase and/or GAPD activities are adequate as characteristics of the glucose responsiveness, rather than only the glucokinase activity. We also propose that the rapid equilibrium between different oligomeric forms of phosphofructokinase may reduce the oscillation period sensitivity to phosphofructokinase activity. Methodologically, we show that a satisfying description of phosphofructokinase kinetics can be achieved using the irreversible Hill equation with allosteric modifiers. We emphasize the use of parameter ranges rather than fixed values, and the use of operationally well-defined parameters in order for this methodology to be feasible. The theoretical results presented in this study apply to the study of insulin secretion mechanisms, since glycolytic oscillations have been proposed as a cause of oscillations in the ATP/ADP ratio which is linked to insulin secretion. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2009 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.",2,4,5,3 +BIOMD0000000231,Valero2006_Adenine_TernaryCycle,"This a model from the article: A kinetic study of a ternary cycle between adenine nucleotides. Valero E, Varón R, García-Carmona F FEBS J. [2006 Aug;273(15):3598-613 16884499 , Abstract: In the present paper, a kinetic study is made of the behavior of a moiety-conserved ternary cycle between the adenine nucleotides. The system contains the enzymes S-acetyl coenzyme A synthetase, adenylate kinase and pyruvate kinase, and converts ATP into AMP, then into ADP and finally back to ATP. L-Lactate dehydrogenase is added to the system to enable continuous monitoring of the progress of the reaction. The cycle cannot work when the only recycling substrate in the reaction medium is AMP. A mathematical model is proposed whose kinetic behavior has been analyzed both numerically by integration of the nonlinear differential equations describing the kinetics of the reactions involved, and analytically under steady-state conditions, with good agreement with the experimental results being obtained. The data obtained showed that there is a threshold value of the S-acetyl coenzyme A synthetase/adenylate kinase ratio, above which the cycle stops because all the recycling substrate has been accumulated as AMP, never reaching the steady state. In addition, the concept of adenylate energy charge has been applied to the system, obtaining the enabled values of the rate constants for a fixed adenylate energy charge value and vice versa.",2,4,6,4 +BIOMD0000000232,Nazaret2009_TCA_RC_ATP,"This a model from the article: Mitochondrial energetic metabolism: a simplified model of TCA cycle with ATP production. Nazaret C, Heiske M, Thurley K, Mazat JP J. Theor. Biol. 2009 Jun;258(3):455-64 19007794 , Abstract: Mitochondria play a central role in cellular energetic metabolism. The essential parts of this metabolism are the tricarboxylic acid (TCA) cycle, the respiratory chain and the adenosine triphosphate (ATP) synthesis machinery. Here a simplified model of these three metabolic components with a limited set of differential equations is presented. The existence of a steady state is demonstrated and results of numerical simulations are presented. The relevance of a simple model to represent actual in vivo behavior is discussed.",2,4,14,12 +BIOMD0000000236,Westermark2003_Pancreatic_GlycOsc_extended,"This is the extended model described in eq. 2 of the article: A model of phosphofructokinase and glycolytic oscillations in the pancreatic beta-cell. Westermark PO and Lansner A. Biophys J. 2003 Jul;85(1):126-39. PMID: 12829470 , doi: 10.1016/S0006-3495(03)74460-9 Abstract: We have constructed a model of the upper part of the glycolysis in the pancreatic beta-cell. The model comprises the enzymatic reactions from glucokinase to glyceraldehyde-3-phosphate dehydrogenase (GAPD). Our results show, for a substantial part of the parameter space, an oscillatory behavior of the glycolysis for a large range of glucose concentrations. We show how the occurrence of oscillations depends on glucokinase, aldolase and/or GAPD activities, and how the oscillation period depends on the phosphofructokinase activity. We propose that the ratio of glucokinase and aldolase and/or GAPD activities are adequate as characteristics of the glucose responsiveness, rather than only the glucokinase activity. We also propose that the rapid equilibrium between different oligomeric forms of phosphofructokinase may reduce the oscillation period sensitivity to phosphofructokinase activity. Methodologically, we show that a satisfying description of phosphofructokinase kinetics can be achieved using the irreversible Hill equation with allosteric modifiers. We emphasize the use of parameter ranges rather than fixed values, and the use of operationally well-defined parameters in order for this methodology to be feasible. The theoretical results presented in this study apply to the study of insulin secretion mechanisms, since glycolytic oscillations have been proposed as a cause of oscillations in the ATP/ADP ratio which is linked to insulin secretion. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2009 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.",2,4,7,4 +BIOMD0000000244,Kotte2010_Ecoli_Metabolic_Adaption,"This is the model described in: Bacterial adaptation through distributed sensing of metabolic fluxes Oliver Kotte, Judith B Zaugg and Matthias Heinemann; Mol Sys Biol 2010; 6 :355. doi: 10.1038/msb.2010.10 ; Abstract: The recognition of carbon sources and the regulatory adjustments to recognized changes are of particular importance for bacterial survival in fluctuating environments. Despite a thorough knowledge base of Escherichia coli's central metabolism and its regulation, fundamental aspects of the employed sensing and regulatory adjustment mechanisms remain unclear. In this paper, using a differential equation model that couples enzymatic and transcriptional regulation of E. coli's central metabolism, we show that the interplay of known interactions explains in molecular-level detail the system-wide adjustments of metabolic operation between glycolytic and gluconeogenic carbon sources. We show that these adaptations are enabled by an indirect recognition of carbon sources through a mechanism we termed distributed sensing of intracellular metabolic fluxes. This mechanism uses two general motifs to establish flux-signaling metabolites, whose bindings to transcription factors form flux sensors. As these sensors are embedded in global feedback loop architectures, closed-loop self-regulation can emerge within metabolism itself and therefore, metabolic operation may adapt itself autonomously (not requiring upstream sensing and signaling) to fluctuating carbon sources. In its current form this SBML model is parametrized for the glucose to acetate transition and to simulate the extended diauxic shift as shown in figure 3 and scenario 6 of the attached matlab file. In this scenario the cells first are grown from an OD600 (BM) of 0.03 with a starting glucose concentration of 0.5 g/l for 8.15 h (29340 sec). Then a medium containing 5 g/l acetate is inoculated with these cells to an OD600 of 0.03 and grown for another 19.7 hours (70920 sec). Finally the cells are shifted to a medium containing both glucose and acetate at a concentration of 3 g/l with a starting OD600 of 0.0005. The shifts where implemented using events triggering at the times determined by the parameters shift1 and shift2 (in hours). To simulate other scenarios the initial conditions need to be changed as described in the supplemental materials ( supplement 1 ) The original SBML model and the MATLAB file used for the calculations can be down loaded as supplementary materials of the publication from the MSB website. ( supplement 2 ). The units of the external metabolites are in [g/l], those of the biomass in optical density,OD 600 , taken as dimensionless, and [micromole/(gramm dry weight)] for all intracellular metabolites. As the latter cannot be implemented in SBML, it was chosen to be micromole only and the units of the parameters are left mostly undefined. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.",2,4,47,109 +BIOMD0000000245,Lei2001_Yeast_Aerobic_Metabolism,"This the model from the article: A biochemically structured model for Saccharomyces cerevisiae. Lei F, Rotbøll M, Jørgensen SB. J Biotechnol. 2001 Jul 12;88(3):205-21. PMID: 11434967 ,DOI: 10.1016/S0168-1656(01)00269-3 Abstract: A biochemically structured model for the aerobic growth of Saccharomyces cerevisiae on glucose and ethanol is presented. The model focuses on the pyruvate and acetaldehyde branch points where overflow metabolism occurs when the growth changes from oxidative to oxido-reductive. The model is designed to describe the onset of aerobic alcoholic fermentation during steady-state as well as under dynamical conditions, by triggering an increase in the glycolytic flux using a key signalling component which is assumed to be closely related to acetaldehyde. An investigation of the modelled process dynamics in a continuous cultivation revealed multiple steady states in a region of dilution rates around the transition between oxidative and oxido-reductive growth. A bifurcation analysis using the two external variables, the dilution rate, D, and the inlet concentration of glucose, S(f), as parameters, showed that a fold bifurcation occurs close to the critical dilution rate resulting in multiple steady-states. The region of dilution rates within which multiple steady states may occur depends strongly on the substrate feed concentration. Consequently a single steady state may prevail at low feed concentrations, whereas multiple steady states may occur over a relatively wide range of dilution rates at higher feed concentrations. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.",2,4,11,20 +BIOMD0000000247,Ralser2007_Carbohydrate_Rerouting_ROS,"This is the model with unfitted parameters described in the article Dynamic rerouting of the carbohydrate flux is key to counteracting oxidative stress Markus Ralser, Mirjam M Wamelink, Axel Kowald, Birgit Gerisch, Gino Heeren, Eduard A Struys, Edda Klipp, Cornelis Jakobs, Michael Breitenbach, Hans Lehrach and Sylvia Krobitsch, J Biol 2007 6(4):10; PMID: 18154684 , doi: 10.1186/jbiol61 Abstract: BACKGROUND: Eukaryotic cells have evolved various response mechanisms to counteract the deleterious consequences of oxidative stress. Among these processes, metabolic alterations seem to play an important role. RESULTS: We recently discovered that yeast cells with reduced activity of the key glycolytic enzyme triosephosphate isomerase exhibit an increased resistance to the thiol-oxidizing reagent diamide. Here we show that this phenotype is conserved in Caenorhabditis elegans and that the underlying mechanism is based on a redirection of the metabolic flux from glycolysis to the pentose phosphate pathway, altering the redox equilibrium of the cytoplasmic NADP(H) pool. Remarkably, another key glycolytic enzyme, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), is known to be inactivated in response to various oxidant treatments, and we show that this provokes a similar redirection of the metabolic flux. CONCLUSION: The naturally occurring inactivation of GAPDH functions as a metabolic switch for rerouting the carbohydrate flux to counteract oxidative stress. As a consequence, altering the homoeostasis of cytoplasmic metabolites is a fundamental mechanism for balancing the redox state of eukaryotic cells under stress conditions. Different realtive enzyme velocities can be simulated by varying the parameters k_rel_TPI and k_rel_GAPDH . This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.",2,4,31,25 +BIOMD0000000248,Lai2007_O2_Transport_Metabolism,"This file describes the SBML version of the mathematical model in the following journal article: Linking Pulmonary Oxygen Uptake, Muscle Oxygen Utilization and Cellular Metabolism during Exercise, Ann Biomed Eng. 2007 Jun;35(6):956-69. (Pubmed ID: 17380394). This mathematical model simulates oxygen transport and metabolism in skeletal muscle in response to a step change from a warm-up steady state to a higher work rate corresponding to exercise at different levels of intensity: moderate (M), heavy (H) and very heavy (VH). The model parameter values are listed in the tables of this article. The parameter values that are independent of the exercise level are reported in Table 2. The parameter values that depend on the exercise level are reported in Tables 1A, 3 and 4. The model simulations (Figures 2, 3, 4 and 5) were obtained for a representative subject with a set of parameter values different from those in Table 1A, 3 and 4. In the sbml model, these model parameters are used to simulate exercise at a very heavy (VH) intensity for the representative subject. Additionally, the parameter values needed to simulate exercise at moderate (M) and heavy (H) intensity are reported in the list of parameters of the file. The model simulates dynamics of (1) the concentrations of free (F) and total (T) oxygen concentration in blood (CFcap, CTcap) and tissue (CFtis, CTtis), Adenosine Triphosphate (ATP), Adenosine Diphosphate (ADP), Phosphocreatine (PCr) and Creatine (Cr); (2) the metabolic flux of oxidative phosphorylation, creatine kinase and ATPase; (3) the oxygen uptake in blood and oxygen transport rate from blood to tissue during exercise. The simulation also computes muscle oxygen saturation (StO2m) and relative muscle oxygen saturation (RStO2m) in order to compare simulated and experimental responses of human muscle oxygenation during exercise. The model was successfully tested with Roadrunner of the Systems Biology Workbench (SBW). The model simulations obtained with Roadrunner match those obtained with the mathematical model represented in Fortran and Matlab for relative and absolute tolerance smaller than 10-7. To allow for simulations at varying levels of exercise, the parameter exercise_level was introduced. A value of 1 means medium, 2 heavy and 3 very heavy exercise. Setting this parameter assigns the parameters Vmax , KatpaseE , dQMm and tauQm with the relevant parameters. The warmup steady state is influenced by the parameter changes for this representative subject and the model has to be brought into steady state after each change of exercise level. This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Nov��re N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.",2,4,9,5 +BIOMD0000000253,Teusink1998_Glycolysis_TurboDesign,"This is the model described in the article: The danger of metabolic pathways with turbo design Teusink B, Walsh MC, van Dam K, Westerhoff HV Trends Biochem. Sci. 1998 May; Volume: 23 (Issue: 5 ): 162-9 9612078 , Abstract: Many catabolic pathways begin with an ATP-requiring activation step, after which further metabolism yields a surplus of ATP. Such a 'turbo' principle is useful but also contains an inherent risk. This is illustrated by a detailed kinetic analysis of a paradoxical Saccharomyces cerevisiae mutant; the mutant fails to grow on glucose because of overactive initial enzymes of glycolysis, but is defective only in an enzyme (trehalose 6-phosphate synthase) that appears to have little relevance to glycolysis. The ubiquity of pathways that possess an initial activation step, suggests that there might be many more genes that, when deleted, cause rather paradoxical regulation phenotypes (i.e. growth defects caused by enhanced utilization of growth substrate). The model represents the wild-type cell: 'guarded' glycolysis, which is the inhibition of the HK module by hexose monophosphate. The model reproduces figures 3c and 3d of the reference publication. To reproduce unguarded glycolysis, set parameter wild_type to '0'. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2010 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,6,4 +BIOMD0000000268,Reed2008_Glutathione_Metabolism,"This is the model described in the article: A mathematical model of glutathione metabolism. Michael C Reed, Rachel L Thomas, Jovana Pavisic, S. Jill James, Cornelia M Ulrich and H. Frederik Nijhout, Theor Biol Med Model 2008,5:8; PubmedID: 18442411 ; DOI: 10.1186/1742-4682-5-8 ; Abstract: BACKGROUND: Glutathione (GSH) plays an important role in anti-oxidant defense and detoxification reactions. It is primarily synthesized in the liver by the transsulfuration pathway and exported to provide precursors for in situ GSH synthesis by other tissues. Deficits in glutathione have been implicated in aging and a host of diseases including Alzheimer's disease, Parkinson's disease, cardiovascular disease, cancer, Down syndrome and autism. APPROACH: We explore the properties of glutathione metabolism in the liver by experimenting with a mathematical model of one-carbon metabolism, the transsulfuration pathway, and glutathione synthesis, transport, and breakdown. The model is based on known properties of the enzymes and the regulation of those enzymes by oxidative stress. We explore the half-life of glutathione, the regulation of glutathione synthesis, and its sensitivity to fluctuations in amino acid input. We use the model to simulate the metabolic profiles previously observed in Down syndrome and autism and compare the model results to clinical data. CONCLUSION: We show that the glutathione pools in hepatic cells and in the blood are quite insensitive to fluctuations in amino acid input and offer an explanation based on model predictions. In contrast, we show that hepatic glutathione pools are highly sensitive to the level of oxidative stress. The model shows that overexpression of genes on chromosome 21 and an increase in oxidative stress can explain the metabolic profile of Down syndrome. The model also correctly simulates the metabolic profile of autism when oxidative stress is substantially increased and the adenosine concentration is raised. Finally, we discuss how individual variation arises and its consequences for one-carbon and glutathione metabolism. parameter orig. article this model Vm_CBS 700000 420000 Vm_GNMT 245 260 K_sam_GNMT 32 63 Vr_MTD(mito) 600000 595000 V_CBS kinetic law rearranged V_bmetc 913 913.4 Vm_GR 8925 892.5 This version of the model contains a feeding rhythm as used in figure 5 of the original article. Four parameters, breakfast , lunch dinner and fasting , describe the relative level of amino acids, described by the parameter aa_input or Aminoacid_input , in the blood. To remove the daily feeding rhythm, either set the parameters for meals and fasting to 1 (or for figure 3 to 0.333), or remove the assignment rule for the Aminoacid_input . For the steady state evaluations for figure 6, the mealtime parameters were set to one, which, while making Copasi complain about explicit time dependency, still gives valid results. This version of the model differs slightly from the version described in the supplement, in which contains some typos. It was corrected using the version of JWS-online , created using the original matlab files, thankfully provided by the articles authors. Many thanks to Jacky Snoep for his help and support. In the SBML version of the model the volumes of the mitochondrion, the cytoplasm and the cell were all set to one to obtain the same equations as described in the supplemental materials of the article. The total folate is equally split between the cytosol and the mitochondrion and divided by 3/4 for the cytosol and 1/4 for the mitochondrion, respectively. To obtain an SBML model in which the volumes of the compartments, cytosol and mito , are used, the model needs to be altered as follows: for the initial distribution of folate the terms 3/4 and 1/4 have to be replaced by volumes of cytosol and mitochondria respectively in the transport reactions between mitochondrion and cytosol the stoichiometry of the mitochondrial reactants has to be set from 3 to 1 and in the first part of the according rate laws the factor mito/3 should simply be replaced with mito . the stoichiometries of src and dmg have to be changed to cell/mito for mitchondrial and cell/cytosol for cytosolic reactions involving these two species (for the relative volumes used in the article this would be 4 for mitochondrial reactions and 1.33333 for cytosolic ones). While the concentrations stay the same after these alteration, the reaction fluxes change by a factor of cytosol and mito for cytosolic and mitchondrial reactions, respectively. Originally created by libAntimony v1.3 (using libSBML 3.4.1)",2,4,44,61 +BIOMD0000000281,Chance1960_Glycolysis_Respiration,"This model is described inthe article: Metabolic control mechanisms. 5. A solution for the equations representing interaction between glycolysis and respiration in ascites tumor cells. Britton Chance, David Garfinkel, Joseph Higgins and Benno Hess, J Biol Chem. 1960 35:2426-2439. PubmedID: 13692276 Abstract: The other papers of this series present experimental evidence for possible relationships between the kinetics of oxygen, glucose, adenosine diphosphate, adenosine triphosphate, and phosphate and those of the cytochromes and pyridine nucleotides of the ascites tumor cell. From these general experiments we are able to formulate, under the law of mass action, a minimum hypothesis under which the four metabolic regulations previously described can be observed. In brief, the system can be represented by the known enzyme systems, a relatively higher ADP affinity in respiration than in glycolysis, the mitochondrial membrane, a segregation of ATP into two compartments, and an ATP-utilizing system that is responsive to small decreases of the intracellular ADP level. The chemical equations for the pathway from glucose to oxygen are solved by a digital computer method so that the responses of the chemical equations and of the living cell can be accurately compared. For reasons already described, we greatly prefer a com- puter representation based upon a physical or chemical law representing the action of the system to a model simulating the operation of the chemical system but not based upon funda- mental laws for the reactions involved; such a representation would not adequately represent the kinetics of the system, as in an electric circuit network or in some types of hydraulic ana- logues. The model gives solutions of the reaction kinetics for three types of metabolism: 0 - 64s, metabolism of endogenous substrate 64s - 119s, metabolism of added glucose, illustrating the activated and inhibited aspects of glucose metabolism 119s - 153s, relief of glucose and oxygen inhibition by the addition of an uncoupling agent This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. For more information see the terms of use . To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,32,22 +BIOMD0000000292,Rovers1995_Photsynthetic_Oscillations,"This is the model described in the article: Photosynthetic oscillations and the interdependence of photophosphorylation and electron transport as studied by a mathematical model. Rovers W, Giersch C. Biosystems. 1995;35(1):63-73. PMID: 7772723 Abstract: A simple mathematical model of photosynthetic carbon metabolism as driven by ATP and NADPH has been formulated to analyse photosynthetic oscillations. Two essential assumptions of this model are: (i) reduction of 3-phosphoglycerate to triosephosphate in the Clavin cycle is limited by ATP, not by NADPH, and (ii) photophosphorylation is affected by the availability of both ADP and NADP, while electron transport is limited by NADP only. The model produces oscillations of observed damping and period in ATP and NADP concentrations which are about 180 degrees out of phase, while three alternative proposals regarding coupling of electron transport and photophosphorylation do not produce oscillatory model solutions. The phases of ATP and NADPH are in reasonable agreement with the available experimental data. The model (which assumes that redox control of photophosphorylation is part of the oscillatory mechanism) is compared with an alternative proposal (that oscillations are due to interdependence of turnover of adenylates and Calvin cycle intermediates). From the similarity of the mathematical structures of both models it is inviting to speculate that both models are partial aspects of the oscillatory mechanism. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.",2,4,6,4 +BIOMD0000000450,Reyes-Palomares2012 - a combined model hepatic polyamine and sulfur aminoacid metabolism - version2,"Reyes-Palomares2012 - a combined model hepatic polyamine and sulfur aminoacid metabolism - version2 Mammalian polyamine metabolism consists of a bi-cycle with two required entrances, omithine and S-adenosyl methionine (SAM), and several alternative exists. The relevant regulatory roles of the short half-life enzymes ornithine decarboxylase (ODC), S-adenosyl methione decarboxylase (SAMDC) and spermindine/spermine acetyl transferase (SSAT) in polyamine metabolism are well studied, and has been modelled here. This model is described in the article: A combined model of hepatic polyamine and sulfur amino acid metabolism to analyze S-adenosyl methionine availability. Reyes-Palomares A, Montañez R, Sánchez-Jiménez F, Medina MA Amino Acids, February 2012, Volume 42, Issue 2-3, pp 597-610 Abstract: Many molecular details remain to be uncovered concerning the regulation of polyamine metabolism. A previous model of mammalian polyamine metabolism showed that S-adenosyl methionine availability could play a key role in polyamine homeostasis. To get a deeper insight in this prediction, we have built a combined model by integration of the previously published polyamine model and one-carbon and glutathione metabolism model, published by different research groups. The combined model is robust and it is able to achieve physiological steady-state values, as well as to reproduce the predictions of the individual models. Furthermore, a transition between two versions of our model with new regulatory factors added properly simulates the switch in methionine adenosyl transferase isozymes occurring when the liver enters in proliferative conditions. The combined model is useful to support the previous prediction on the role of S-adenosyl methionine availability in polyamine homeostasis. Furthermore, it could be easily adapted to get deeper insights on the connections of polyamines with energy metabolism. Notes by the author: This model combines BIOMD0000000190 and BIOMD0000000268 from BioModels Database, both models include corrections respect to their originals publications. To simulate a MATI/MATIII switch to MATII in proliferating liver: We set to 0 the Vmax parameters of MATI and MATIII We included MATII reaction equation. We add a regulation factor dependent of SAM levels in ODC and SAMDCe rates of synthesis (66.5/[SAM]). H2O2 was increased in a 50 % according to an initial state ofproliferating and regenerating liver. This model is hosted on BioModels Database and identified by: MODEL1305060001 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,53,74 +BIOMD0000000471,Smallbone2013 - Yeast metabolic model with linlog rate law,,2,4,657,282 +BIOMD0000000472,Smallbone2013 - Yeast metabolic model with modular rate law,,2,4,657,282 +BIOMD0000000473,"Smallbone2013 - Yeast metabolic model with modular rate law, merged with Pritchard 2002",,2,4,713,298 +BIOMD0000000503,Messiha2013 - combined glycolysis and pentose phosphate pathway model,"Messiha2013 - combined glycolysis and pentose phosphate pathway model BIOMD0000000502 and MODEL1303260018 are combined to examine the response to oxidative stress. This model is described in the article: Enzyme characterisation and kinetic modelling of pentose phosphate pathway in yeast. Hanan L. Messiha, Edward Kent, Naglis Malys, Kathleen M. Carroll, Pedro Mendes, Kieran Smallbone PeerJ PrePrints 1:e146v2 Abstract: We present the quantification and kinetic characterisation of the enzymes of the pentose phosphate pathway in Saccharomyces cerevisiae. The data are combined into a mathematical model that describes the dynamics of this system and allows for the predicting changes in metabolite concentrations and fluxes in response to perturbations. We use the model to study the response of yeast to a glucose pulse. We then combine the model with an existing glycolysis one to study the effect of oxidative stress on carbohydrate metabolism. The combination of these two models was made possible by the standardized enzyme kinetic experiments carried out in both studies. This work demonstrates the feasibility of constructing larger network models by merging smaller pathway models. This model is hosted on BioModels Database and identified by: BIOMD0000000503 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,76,34 +BIOMD0000000590,Hermansen2015 - denovo biosynthesis of pyrimidines in yeast,"Hermansen2015 - denovo biosynthesis of pyrimidines in yeast This model is described in the article: Characterizing selective pressures on the pathway for de novo biosynthesis of pyrimidines in yeast. Hermansen RA , Mannakee BK , Knecht W , Liberles DA , Gutenkunst RN BMC Evolutionary Biology. 2015, 15:232 Abstract: Selection on proteins is typically measured with the assumption that each protein acts independently. However, selection more likely acts at higher levels of biological organization, requiring an integrative view of protein function. Here, we built a kinetic model for de novo pyrimidine biosynthesis in the yeast Saccharomyces cerevisiae to relate pathway function to selective pressures on individual protein-encoding genes.Gene families across yeast were constructed for each member of the pathway and the ratio of nonsynonymous to synonymous nucleotide substitution rates (dN/dS) was estimated for each enzyme from S. cerevisiae and closely related species. We found a positive relationship between the influence that each enzyme has on pathway function and its selective constraint.We expect this trend to be locally present for enzymes that have pathway control, but over longer evolutionary timescales we expect that mutation-selection balance may change the enzymes that have pathway control. This model is hosted on BioModels Database and identified by: MODEL1512160000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,9,20 +BIOMD0000000602,Stavrum2013 - Tryptophan Metabolism in Liver,"Stavrum2013 - Tryptophan Metabolism in Liver This model is described in the article: Model of tryptophan metabolism, readily scalable using tissue-specific gene expression data. Stavrum AK, Heiland I, Schuster S, Puntervoll P, Ziegler M. J. Biol. Chem. 2013 Nov; 288(48): 34555-34566 Abstract: Tryptophan is utilized in various metabolic routes including protein synthesis, serotonin, and melatonin synthesis and the kynurenine pathway. Perturbations in these pathways have been associated with neurodegenerative diseases and cancer. Here we present a comprehensive kinetic model of the complex network of human tryptophan metabolism based upon existing kinetic data for all enzymatic conversions and transporters. By integrating tissue-specific expression data, modeling tryptophan metabolism in liver and brain returned intermediate metabolite concentrations in the physiological range. Sensitivity and metabolic control analyses identified expected key enzymes to govern fluxes in the branches of the network. Combining tissue-specific models revealed a considerable impact of the kynurenine pathway in liver on the concentrations of neuroactive derivatives in the brain. Moreover, using expression data from a cancer study predicted metabolite changes that resembled the experimental observations. We conclude that the combination of the kinetic model with expression data represents a powerful diagnostic tool to predict alterations in tryptophan metabolism. The model is readily scalable to include more tissues, thereby enabling assessment of organismal tryptophan metabolism in health and disease. This model is hosted on BioModels Database and identified by: BIOMD0000000602 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,56,42 +BIOMD0000000627,Winter2017 - Brain Energy Metabolism with PPP,"Winter2017 - Brain Energy Metabolism with PPP This model is described in the article: Mathematical analysis of the influence of brain metabolism on the BOLD signal in Alzheimer's disease Felix Winter1,2, Catrin Bludszuweit-Philipp1 and Olaf Wolkenhauer2,3 Journal of Cerebral Blood Flow & Metabolism Abstract: Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a standard clinical tool for the detection of brain activation. In Alzheimer’s disease (AD), task-related and resting state fMRI have been used to detect brain dysfunction. It has been shown that the shape of the BOLD response is affected in early AD. To correctly interpret these changes, the mechanisms responsible for the observed behaviour need to be known. The parameters of the canonical hemodynamic response function (HRF) commonly used in the analysis of fMRI data have no direct biological interpretation and cannot be used to answer this question. We here present a model that allows relating AD-specific changes in the BOLD shape to changes in the underlying energy metabolism. According to our findings, the classic view that differences in the BOLD shape are only attributed to changes in strength and duration of the stimulus does not hold. Instead, peak height, peak timing and full width at half maximum are sensitive to changes in the reaction rate of several metabolic reactions. Our systems-theoretic approach allows the use of patient-specific clinical data to predict dementia- driven changes in the HRF, which can be used to improve the results of fMRI analyses in AD patients. This model is hosted on BioModels Database and identified by: BIOMD0000000627 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,3,65,64 +BIOMD0000000633,Bulik2016 - Regulation of hepatic glucose metabolism,"Bulik2016 - Regulation of hepatic glucose metabolism This model is described in the article: The relative importance of kinetic mechanisms and variable enzyme abundances for the regulation of hepatic glucose metabolism--insights from mathematical modeling. Bulik S, Holzhütter HG, Berndt N. BMC Biol. 2016 Mar; 14: 15 Abstract: Adaptation of the cellular metabolism to varying external conditions is brought about by regulated changes in the activity of enzymes and transporters. Hormone-dependent reversible enzyme phosphorylation and concentration changes of reactants and allosteric effectors are the major types of rapid kinetic enzyme regulation, whereas on longer time scales changes in protein abundance may also become operative. Here, we used a comprehensive mathematical model of the hepatic glucose metabolism of rat hepatocytes to decipher the relative importance of different regulatory modes and their mutual interdependencies in the hepatic control of plasma glucose homeostasis.Model simulations reveal significant differences in the capability of liver metabolism to counteract variations of plasma glucose in different physiological settings (starvation, ad libitum nutrient supply, diabetes). Changes in enzyme abundances adjust the metabolic output to the anticipated physiological demand but may turn into a regulatory disadvantage if sudden unexpected changes of the external conditions occur. Allosteric and hormonal control of enzyme activities allow the liver to assume a broad range of metabolic states and may even fully reverse flux changes resulting from changes of enzyme abundances alone. Metabolic control analysis reveals that control of the hepatic glucose metabolism is mainly exerted by enzymes alone, which are differently controlled by alterations in enzyme abundance, reversible phosphorylation, and allosteric effects.In hepatic glucose metabolism, regulation of enzyme activities by changes of reactants, allosteric effects, and reversible phosphorylation is equally important as changes in protein abundance of key regulatory enzymes. This model is hosted on BioModels Database and identified by: BIOMD0000000633 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,50,35 +BIOMD0000000674,Reyes-Palomares2012 - a combined model hepatic polyamine and sulfur aminoacid metabolism - version1,"Reyes-Palomares2012 - a combined model hepatic polyamine and sulfur aminoacid metabolism - version1 Mammalian polyamine metabolism consists of a bi-cycle with two required entrances, omithine and S-adenosyl methionine (SAM), and several alternative exists. The relevant regulatory roles of the short half-life enzymes ornithine decarboxylase (ODC), S-adenosyl methione decarboxylase (SAMDC) and spermindine/spermine acetyl transferase (SSAT) in polyamine metabolism are well studied, and has been modelled here. This model is described in the article: A combined model of hepatic polyamine and sulfur amino acid metabolism to analyze S-adenosyl methionine availability. Reyes-Palomares A, Montañez R, Sánchez-Jiménez F, Medina MA. Amino Acids 2012 Feb; 42(2-3): 597-610 Abstract: Many molecular details remain to be uncovered concerning the regulation of polyamine metabolism. A previous model of mammalian polyamine metabolism showed that S-adenosyl methionine availability could play a key role in polyamine homeostasis. To get a deeper insight in this prediction, we have built a combined model by integration of the previously published polyamine model and one-carbon and glutathione metabolism model, published by different research groups. The combined model is robust and it is able to achieve physiological steady-state values, as well as to reproduce the predictions of the individual models. Furthermore, a transition between two versions of our model with new regulatory factors added properly simulates the switch in methionine adenosyl transferase isozymes occurring when the liver enters in proliferative conditions. The combined model is useful to support the previous prediction on the role of S-adenosyl methionine availability in polyamine homeostasis. Furthermore, it could be easily adapted to get deeper insights on the connections of polyamines with energy metabolism. Notes by the author: This model combines BIOMD0000000190 and BIOMD0000000268 from BioModels Database, both models include corrections respect to their originals publications. This model is hosted on BioModels Database and identified by: BIOMD0000000674 . To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8 . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,53,73 +BIOMD0000000689,Thiaville2016 - Folate pathway model (PanB overexpression),"Henry2016 Folate pathway model with induced PanB reaction This model is described in the article: Experimental and Metabolic Modeling Evidence for a Folate-Cleaving Side-Activity of Ketopantoate Hydroxymethyltransferase (PanB). Thiaville JJ, Frelin O, García-Salinas C, Harrison K, Hasnain G, Horenstein NA, Díaz de la Garza RI, Henry CS, Hanson AD, de Crécy-Lagard V. Front Microbiol 2016; 7: 431 Abstract: Tetrahydrofolate (THF) and its one-carbon derivatives, collectively termed folates, are essential cofactors, but are inherently unstable. While it is clear that chemical oxidation can cleave folates or damage their pterin precursors, very little is known about enzymatic damage to these molecules or about whether the folate biosynthesis pathway responds adaptively to damage to its end-products. The presence of a duplication of the gene encoding the folate biosynthesis enzyme 6-hydroxymethyl-7,8-dihydropterin pyrophosphokinase (FolK) in many sequenced bacterial genomes combined with a strong chromosomal clustering of the folK gene with panB, encoding the 5,10-methylene-THF-dependent enzyme ketopantoate hydroxymethyltransferase, led us to infer that PanB has a side activity that cleaves 5,10-methylene-THF, yielding a pterin product that is recycled by FolK. Genetic and metabolic analyses of Escherichia coli strains showed that overexpression of PanB leads to accumulation of the likely folate cleavage product 6-hydroxymethylpterin and other pterins in cells and medium, and-unexpectedly-to a 46% increase in total folate content. In silico modeling of the folate biosynthesis pathway showed that these observations are consistent with the in vivo cleavage of 5,10-methylene-THF by a side-activity of PanB, with FolK-mediated recycling of the pterin cleavage product, and with regulation of folate biosynthesis by folates or their damage products. This model is hosted on BioModels Database and identified by: MODEL1602280002 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,17,10 +BIOMD0000000690,Thiaville2016 - Folate pathway model (PanB overexpression and THF regulation),"Henry2016 Folate pathway model with induced PanB reaction This model is described in the article: Experimental and Metabolic Modeling Evidence for a Folate-Cleaving Side-Activity of Ketopantoate Hydroxymethyltransferase (PanB). Thiaville JJ, Frelin O, García-Salinas C, Harrison K, Hasnain G, Horenstein NA, Díaz de la Garza RI, Henry CS, Hanson AD, de Crécy-Lagard V. Front Microbiol 2016; 7: 431 Abstract: Tetrahydrofolate (THF) and its one-carbon derivatives, collectively termed folates, are essential cofactors, but are inherently unstable. While it is clear that chemical oxidation can cleave folates or damage their pterin precursors, very little is known about enzymatic damage to these molecules or about whether the folate biosynthesis pathway responds adaptively to damage to its end-products. The presence of a duplication of the gene encoding the folate biosynthesis enzyme 6-hydroxymethyl-7,8-dihydropterin pyrophosphokinase (FolK) in many sequenced bacterial genomes combined with a strong chromosomal clustering of the folK gene with panB, encoding the 5,10-methylene-THF-dependent enzyme ketopantoate hydroxymethyltransferase, led us to infer that PanB has a side activity that cleaves 5,10-methylene-THF, yielding a pterin product that is recycled by FolK. Genetic and metabolic analyses of Escherichia coli strains showed that overexpression of PanB leads to accumulation of the likely folate cleavage product 6-hydroxymethylpterin and other pterins in cells and medium, and-unexpectedly-to a 46% increase in total folate content. In silico modeling of the folate biosynthesis pathway showed that these observations are consistent with the in vivo cleavage of 5,10-methylene-THF by a side-activity of PanB, with FolK-mediated recycling of the pterin cleavage product, and with regulation of folate biosynthesis by folates or their damage products. This model is hosted on BioModels Database and identified by: MODEL1602280002 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,17,10 +BIOMD0000000691,Wolf2000 - Cellular interaction on glycolytic oscillations in yeast,"Wolf2000 - Cellular interaction on glycolytic oscillations in yeast A two-cell model of glycolysis. This model is described in the article: Effect of cellular interaction on glycolytic oscillations in yeast: a theoretical investigation. Wolf J, Heinrich R. Biochem. J. 2000 Jan; 345 Pt 2: 321-334 Abstract: On the basis of a detailed model of yeast glycolysis, the effect of intercellular dynamics is analysed theoretically. The model includes the main steps of anaerobic glycolysis, and the production of ethanol and glycerol. Transmembrane diffusion of acetaldehyde is included, since it has been hypothesized that this substance mediates the interaction. Depending on the kinetic parameter, the single-cell model shows both stationary and oscillatory behaviour. This agrees with experimental data with respect to metabolite concentrations and phase shifts. The inclusion of intercellular coupling leads to a variety of dynamical modes, such as synchronous oscillations, and different kinds of asynchronous behavior. These oscillations can co-exist, leading to bi- and tri-rhythmicity. The corresponding parameter regions have been identified by a bifurcation analysis. The oscillatory dynamics of synchronized cell populations are investigated by calculating the phase responses to acetaldehyde pulses. Simulations are performed with respect to the synchronization of two subpopulations that are oscillating out of phase before mixing. The effect of the various process on synchronization is characterized quantitatively. While continuous exchange of acetaldehyde might synchronize the oscillations for appropriate sets of parameter values, the calculated synchronization time is longer than that observed experimentally. It is concluded either that addition to the transmembrane exchange of acetaldehyde, other processes may contribute to intercellular coupling, or that intracellular regulator feedback plays a role in the acceleration of the synchronization. for appropriate sets of parameter values, the calculated synchronization time is longer than that observed experimentally. It is concluded either that addition to the transmembrane exchange of acetaldehyde, other processes may contribute to intercellular coupling, or that intracellular regulator feedback plays a role in the acceleration of the synchronization. This model is hosted on BioModels Database and identified by: BIOMD0000000691 . To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8 . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,19,18 +BIOMD0000000725,Salcedo-Sora2016 - Microbial folate biosynthesis and utilisation,"Salcedo-Sora2016 - Microbial folate biosynthesis and utilisation This model is described in the article: A mathematical model of microbial folate biosynthesis and utilisation: implications for antifolate development. Enrique Salcedo-Sora J, Mc Auley MT. Mol Biosyst. 2016 Jan 21. Abstract: The metabolic biochemistry of folate biosynthesis and utilisation has evolved into a complex network of reactions. Although this complexity represents challenges to the field of folate research it has also provided a renewed source for antimetabolite targets. A range of improved folate chemotherapy continues to be developed and applied particularly to cancer and chronic inflammatory diseases. However, new or better antifolates against infectious diseases remain much more elusive. In this paper we describe the assembly of a generic deterministic mathematical model of microbial folate metabolism. Our aim is to explore how a mathematical model could be used to explore the dynamics of this inherently complex set of biochemical reactions. Using the model it was found that: (1) a particular small set of folate intermediates are overrepresented, (2) inhibitory profiles can be quantified by the level of key folate products, (3) using the model to scan for the most effective combinatorial inhibitions of folate enzymes we identified specific targets which could complement current antifolates, and (4) the model substantiates the case for a substrate cycle in the folinic acid biosynthesis reaction. Our model is coded in the systems biology markup language and has been deposited in the BioModels Database (MODEL1511020000), this makes it accessible to the community as a whole. This model is hosted on BioModels Database and identified by: MODEL1511020000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.",2,4,51,31 +BIOMD0000001061,Canto-Encalada2022-FBA of simultaneous degradation of ammonia and pollutants,"The ammonia-oxidizing bacterium Nitrosomonas europaea has been widely recognized as an important player in the nitrogen cycle as well as one of the most abundant members in microbial communities for the treatment of industrial or sewage wastewater. Its natural metabolic versatility and extraordinary ability to degrade environmental pollutants enable it to thrive under various harsh environmental conditions. This model of N. europaea (iGC535) is the most accurate metabolic model for a nitrifying organism to date, reaching an average prediction accuracy of over 90% under several growth conditions. The manually curated model can predict phenotypes under chemolithotrophic and chemolithoorganotrophic conditions while oxidating methane and wastewater pollutants. It is the first upload of the model.",3,1,1114,1149 +BIOMD0000001062,Kim2021 - Development of a Genome-Scale Metabolic Model and Phenome Analysis of the Probiotic Escherichia coli Strain Nissle 1917,"Escherichia coli Nissle 1917 (EcN) is an intestinal probiotic that is effective for the treatment of intestinal disorders, such as inflammatory bowel disease and ulcerative colitis. EcN is a representative Gram-negative probiotic in biomedical research and is an intensively studied probiotic. However, to date, its genome-wide metabolic network model has not been developed. Here, we developed a comprehensive and highly curated EcN metabolic model, referred to as iDK1463, based on genome comparison and phenome analysis. The model was improved and validated by comparing the simulation results with experimental results from phenotype microarray tests. iDK1463 comprises 1463 genes, 1313 unique metabolites, and 2984 metabolic reactions. Phenome data of EcN were compared with those of Escherichia coli intestinal commensal K-12 MG1655. iDK1463 was simulated to identify the genetic determinants responsible for the observed phenotypic differences between EcN and K-12. Further, the model was simulated for gene essentiality analysis and utilization of nutrient sources under anaerobic growth conditions. These analyses provided insights into the metabolic mechanisms by which EcN colonizes and persists in the gut. iDK1463 will contribute to the system-level understanding of the functional capacity of gut microbes and their interactions with microbiota and human hosts, as well as the development of live microbial therapeutics.",3,1,2112,2984 +BIOMD0000001063,Lu2019 - Genome scale metabolic model for Saccharomyces cerevisiae - yeastGEM8.5.0,"yeast-GEM: The consensus genome-scale metabolic model of Saccharomyces cerevisiae. Further curations of this model will be tracked in the GitHub repository:https://github.com/SysBioChalmers/yeast-GEM For you use yeast-GEM, please cite the yeast8 paper: Lu, H. et al. A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism. Nature Communications 10, 3586 (2019). https://doi.org/10.1038/s41467-019-11581-3. FROG analysis was performed with the yeastGEM_rich_medium.mat, which is with rich medium setup.",3,1,2742,4058 +BIOMD0000001090,Dias2019 - GSM model of S. pneumoniae R6,Phenotypically Reconciled Genome-scale Metabolic Model for the Metabolism of Streptococcus pneumoniae Strain R6.,3,1,422,529 +BIOMD0000001091,Kulyashov2020 - Genome-Scale Metabolic Model for Geobacillus icigianus,"Here we present a genome-scale metabolic model iMK1321 for Geobacillus icigianus constructed using an auto-generating pipeline with consequent thorough manual curation. The model contains 1321 genes and includes 1676 reactions and 1589 metabolites, representing the most-complete and publicly available model of the genus Geobacillus.",3,1,1589,1676 +BIOMD0000001092,Gautam2020-Metabolic network of Thermotoga sp. Strain RQ7,As in DOI: 10.1007/s12010-020-03470-z,3,1,538,692 +BIOMD0000001093,Nogales2020 - Genome-scale metabolic network of Pseudomonas putida (iJN1462),"iJN1462 (i) incorporates several hundred additional genes and associated reactions resulting in new predictive capabilities, including new nutrients supporting growth; (ii) was validated by in vivo growth screens that included previously untested carbon (48) and nitrogen (41) sources; (iii) yielded gene essentiality predictions showing large accuracy when compared with a knock-out library and Bar-seq data; and (iv) allowed mapping of its network to 82 P. putida sequenced strains revealing functional core that reflect the large metabolic versatility of this species, including aromatic compounds derived from lignin.",3,1,2153,2927 diff --git a/benchmark/data/model_summary.csv b/benchmark/data/model_summary.csv new file mode 100644 index 0000000..477d196 --- /dev/null +++ b/benchmark/data/model_summary.csv @@ -0,0 +1,76 @@ 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+BIOMD0000000689,included,10,6,6,0.0,0.0,chebi,16.0,False,CLU_BIOMD0000000689,False +BIOMD0000000690,included,10,6,6,0.0,0.0,chebi,16.0,False,CLU_BIOMD0000000689,False +BIOMD0000000691,included,18,10,6,4.0,0.0,chebi,12.0,False,CLU_BIOMD0000000691,False +BIOMD0000000725,included,31,31,31,0.0,0.0,none,0.0,False,CLU_BIOMD0000000725,False +BIOMD0000001061,included,1149,419,419,0.0,0.0,chebi,5361.0,False,CLU_BIOMD0000001061,False +BIOMD0000001062,included,2984,793,793,0.0,0.0,chebi,10127.0,False,CLU_BIOMD0000001062,False +BIOMD0000001063,included,4058,876,874,2.0,0.0,chebi,2342.0,False,CLU_BIOMD0000001063,False +BIOMD0000001090,included,529,373,373,0.0,0.0,none,0.0,False,CLU_BIOMD0000001090,False +BIOMD0000001091,included,1676,1047,1047,0.0,0.0,none,0.0,False,CLU_BIOMD0000001091,False +BIOMD0000001092,included,692,346,346,0.0,0.0,chebi,3393.0,False,CLU_BIOMD0000001092,False +BIOMD0000001093,included,2927,702,702,0.0,0.0,chebi,8636.0,False,CLU_BIOMD0000001093,False diff --git a/benchmark/data/parser_diagnostics.csv b/benchmark/data/parser_diagnostics.csv new file mode 100644 index 0000000..8e224eb --- /dev/null +++ b/benchmark/data/parser_diagnostics.csv @@ -0,0 +1,76 @@ +model_id,num_reactions_total,reactions_with_raw_kegg_mention,reactions_with_extracted_kegg,unextracted_mentions,parser_discrepancy,species_with_kegg_reaction_annotation,misplaced_annotations_only,example_annotation_lines,ssx_detection_method,ssx_count_libsbml,ssx_count_pipeline,ssx_disagreement_ids +BIOMD0000000013,21,17,17,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000015,37,28,28,0,False,0,False," || || ",antimony_pipeline,5.0,5.0, +BIOMD0000000017,14,9,9,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000018,47,12,12,0,False,0,False," || || ",antimony_pipeline,8.0,8.0, +BIOMD0000000023,11,7,7,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000038,10,2,2,0,False,0,False," || ",antimony_pipeline,0.0,0.0, +BIOMD0000000042,25,9,9,0,False,0,False," || || ",antimony_pipeline,15.0,15.0, +BIOMD0000000046,15,2,2,0,False,0,False," || ",antimony_pipeline,0.0,0.0, +BIOMD0000000051,48,23,23,0,False,0,False," || || ",antimony_pipeline,30.0,30.0, +BIOMD0000000061,24,11,11,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000063,8,3,3,0,False,0,False," || || ",antimony_pipeline,1.0,1.0, +BIOMD0000000064,17,11,11,0,False,0,False," || || ",antimony_pipeline,1.0,1.0, +BIOMD0000000066,7,5,5,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000067,13,2,2,0,False,0,False," || ",antimony_pipeline,8.0,8.0, +BIOMD0000000068,3,2,2,0,False,0,False," || ",antimony_pipeline,0.0,0.0, +BIOMD0000000070,38,24,24,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000071,14,10,10,0,False,0,False," || || ",antimony_pipeline,1.0,1.0, +BIOMD0000000076,2,2,2,0,False,0,False," || ",antimony_pipeline,0.0,0.0, +BIOMD0000000081,15,5,5,0,False,0,False," || || ",antimony_pipeline,1.0,1.0, +BIOMD0000000088,110,26,26,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000093,46,2,2,0,False,0,False," || ",antimony_pipeline,4.0,4.0, +BIOMD0000000094,45,2,2,0,False,0,False," || ",antimony_pipeline,3.0,3.0, +BIOMD0000000108,17,1,1,0,False,0,False,"",antimony_pipeline,10.0,10.0, +BIOMD0000000122,17,1,1,0,False,0,False,"",antimony_pipeline,0.0,0.0, +BIOMD0000000123,17,1,1,0,False,0,False,"",antimony_pipeline,0.0,0.0, +BIOMD0000000137,20,1,1,0,False,0,False,"",antimony_pipeline,4.0,4.0, +BIOMD0000000143,20,3,3,0,False,0,False," || || ",antimony_pipeline,3.0,3.0, +BIOMD0000000171,26,4,4,0,False,0,False," || || ",antimony_pipeline,16.0,16.0, +BIOMD0000000172,19,14,14,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000176,19,14,14,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000177,21,15,15,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000190,13,9,9,0,False,0,False," || || ",antimony_pipeline,2.0,2.0, +BIOMD0000000191,5,3,3,0,False,0,False," || || ",antimony_pipeline,3.0,3.0, +BIOMD0000000206,11,6,6,0,False,0,False," || || ",antimony_pipeline,3.0,3.0, +BIOMD0000000211,21,15,15,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000212,18,15,15,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000213,12,11,11,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000218,14,13,13,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000219,15,14,14,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000221,11,10,10,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000222,11,10,10,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000225,3,3,3,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000231,4,4,4,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000232,12,9,9,0,False,0,False," || || ",antimony_pipeline,2.0,2.0, +BIOMD0000000236,4,4,4,0,False,0,False," || || ",antimony_pipeline,1.0,1.0, +BIOMD0000000244,109,3,3,0,False,0,False," || || ",antimony_pipeline,86.0,86.0, +BIOMD0000000245,20,3,3,0,False,0,False," || || ",antimony_pipeline,10.0,10.0, +BIOMD0000000247,25,19,19,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000248,5,1,1,0,False,0,False,"",antimony_pipeline,1.0,1.0, +BIOMD0000000253,4,3,3,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000268,61,22,22,0,False,0,False," || || ",antimony_pipeline,14.0,14.0, +BIOMD0000000281,22,14,14,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000292,4,2,2,0,False,0,False," || ",antimony_pipeline,0.0,0.0, +BIOMD0000000450,74,22,22,0,False,0,False," || || ",antimony_pipeline,16.0,16.0, +BIOMD0000000471,282,197,197,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000472,282,197,197,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000473,298,212,212,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000503,34,15,15,0,False,0,False," || || ",antimony_pipeline,2.0,2.0, +BIOMD0000000579,175,0,0,0,False,13,True,,,,, +BIOMD0000000590,20,9,9,0,False,0,False," || || ",antimony_pipeline,12.0,12.0, +BIOMD0000000602,42,35,35,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000000627,64,32,32,0,False,0,False," || || ",antimony_pipeline,4.0,4.0, +BIOMD0000000633,35,27,27,0,False,0,False," || || ",antimony_pipeline,2.0,2.0, +BIOMD0000000674,73,22,22,0,False,0,False," || || ",antimony_pipeline,16.0,16.0, +BIOMD0000000689,10,6,6,0,False,0,False," || || ",antimony_pipeline,4.0,4.0, +BIOMD0000000690,10,6,6,0,False,0,False," || || ",antimony_pipeline,4.0,4.0, +BIOMD0000000691,18,10,10,0,False,0,False," || || ",antimony_pipeline,12.0,12.0, +BIOMD0000000725,31,31,31,0,False,0,False," || || ",antimony_pipeline,0.0,0.0, +BIOMD0000001061,1149,419,419,0,False,0,False," || || ",antimony_pipeline,113.0,113.0, +BIOMD0000001062,2984,793,793,0,False,0,False," || || ",antimony_pipeline,447.0,447.0, +BIOMD0000001063,4058,876,876,0,False,0,False," || || ",antimony_pipeline,261.0,261.0, +BIOMD0000001090,529,373,373,0,False,0,False," || || ",antimony_pipeline,67.0,67.0, +BIOMD0000001091,1676,1047,1047,0,False,0,False," || || ",antimony_pipeline,125.0,125.0, +BIOMD0000001092,692,346,346,0,False,0,False," || || ",antimony_pipeline,113.0,113.0, +BIOMD0000001093,2927,702,702,0,False,0,False," || || ",antimony_pipeline,381.0,381.0, diff --git a/benchmark/data/pipeline_failures.csv b/benchmark/data/pipeline_failures.csv new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/benchmark/data/pipeline_failures.csv @@ -0,0 +1 @@ + diff --git a/benchmark/data/reactions.csv b/benchmark/data/reactions.csv new file mode 100644 index 0000000..36ac300 --- /dev/null +++ b/benchmark/data/reactions.csv @@ -0,0 +1,5839 @@ +model_id,reaction_id,reaction_equation,ground_truth_kegg_all,ground_truth_kegg_primary,num_ground_truth_ids,invalid_ground_truth_ids,species_source,num_species_annotations,is_exchange_ssx,included_in_eval,exclusion_reason,num_candidates,candidates_json +BIOMD0000000013,E1,RuBP_ch + x_CO2 => 2 PGA_ch,R00024,R00024,1,,chebi,22,False,True,,0, +BIOMD0000000013,E10,S7P_ch + GAP_ch <=> R5P_ch + X5P_ch,R01641,R01641,1,,chebi,22,False,True,,0, +BIOMD0000000013,E11,R5P_ch <=> Ru5P_ch,R01056,R01056,1,,chebi,22,False,True,,0, +BIOMD0000000013,E12,X5P_ch <=> Ru5P_ch,R01429,R01429,1,,chebi,22,False,True,,0, +BIOMD0000000013,E13,Ru5P_ch + ATP_ch => RuBP_ch + ADP_ch,R01423,R01423,1,,chebi,22,False,True,,0, +BIOMD0000000013,E14,F6P_ch <=> G6P_ch,R00771,R00771,1,,chebi,22,False,True,,0, +BIOMD0000000013,E15,G6P_ch <=> G1P_ch,R00959,R00959,1,,chebi,22,False,True,,0, +BIOMD0000000013,E16,ATP_ch + G1P_ch => x_Starch_ch + ADP_ch + 2 Pi_ch,R02111,R02111,1,,chebi,22,False,True,,0, +BIOMD0000000013,E17,x_Starch_ch + Pi_ch => G1P_ch,R02111,R02111,1,,chebi,22,False,True,,0, +BIOMD0000000013,E2,PGA_ch + ATP_ch => BPGA_ch + ADP_ch,R01512,R01512,1,,chebi,22,False,True,,0, +BIOMD0000000013,E3,x_NADPH_ch + BPGA_ch + x_Proton_ch => x_NADP_ch + GAP_ch + Pi_ch,R01063,R01063,1,,chebi,22,False,True,,0, +BIOMD0000000013,E4,GAP_ch <=> DHAP_ch,R01015,R01015,1,,chebi,22,False,True,,0, +BIOMD0000000013,E5,GAP_ch + DHAP_ch <=> FBP_ch,R01070,R01070,1,,chebi,22,False,True,,0, +BIOMD0000000013,E6,FBP_ch => F6P_ch + Pi_ch,R04780,R04780,1,,chebi,22,False,True,,0, +BIOMD0000000013,E7,GAP_ch + F6P_ch <=> X5P_ch + E4P_ch,R01830,R01830,1,,chebi,22,False,True,,0, +BIOMD0000000013,E8,DHAP_ch + E4P_ch <=> SBP_ch,R01829,R01829,1,,chebi,22,False,True,,0, +BIOMD0000000013,E9,SBP_ch => Pi_ch + S7P_ch,R01845,R01845,1,,chebi,22,False,True,,0, +BIOMD0000000015,ada,ATP => HX,R01560,R01560,1,,chebi,31,False,True,,0, +BIOMD0000000015,adna,dATP => DNA,R00375,R00375,1,,chebi,31,False,True,,0, +BIOMD0000000015,adrnr,ATP => dATP,R02014;R02017,R02014,2,,chebi,31,False,True,,0, +BIOMD0000000015,ampd,ATP => IMP,R00181,R00181,1,,chebi,31,False,True,,0, +BIOMD0000000015,aprt,PRPP + Ade => ATP,R00190,R00190,1,,chebi,31,False,True,,0, +BIOMD0000000015,arna,ATP => RNA,R00435,R00435,1,,chebi,31,False,True,,0, +BIOMD0000000015,asli,SAMP => ATP,R01083,R01083,1,,chebi,31,False,True,,0, +BIOMD0000000015,asuc,IMP => SAMP,R01135,R01135,1,,chebi,31,False,True,,0, +BIOMD0000000015,dada,dATP => HX,R02556,R02556,1,,chebi,31,False,True,,0, +BIOMD0000000015,den,PRPP => IMP,R01072;R01127;R04144;R04208;R04209;R04325;R04463;R04559;R04560;R04591,R01072,10,,chebi,31,False,True,,0, +BIOMD0000000015,dgnuc,dGTP => Gua,R01968,R01968,1,,chebi,31,False,True,,0, +BIOMD0000000015,gdna,dGTP => DNA,R00376,R00376,1,,chebi,31,False,True,,0, +BIOMD0000000015,gdrnr,GTP => dGTP,R02019;R02020,R02019,2,,chebi,31,False,True,,0, +BIOMD0000000015,gmpr,GTP => IMP,R01134,R01134,1,,chebi,31,False,True,,0, +BIOMD0000000015,gmps,XMP => GTP,R01231,R01231,1,,chebi,31,False,True,,0, +BIOMD0000000015,gnuc,GTP => Gua,R01227,R01227,1,,chebi,31,False,True,,0, +BIOMD0000000015,gprt,Gua + PRPP => GTP,R01229,R01229,1,,chebi,31,False,True,,0, +BIOMD0000000015,grna,GTP => RNA,R00441,R00441,1,,chebi,31,False,True,,0, +BIOMD0000000015,gua,Gua => Xa,R01676,R01676,1,,chebi,31,False,True,,0, +BIOMD0000000015,hprt,HX + PRPP => IMP,R01132,R01132,1,,chebi,31,False,True,,0, +BIOMD0000000015,hxd,HX => Xa,R01769,R01769,1,,chebi,31,False,True,,0, +BIOMD0000000015,impd,IMP => XMP,R01130,R01130,1,,chebi,31,False,True,,0, +BIOMD0000000015,inuc,IMP => HX,R01126,R01126,1,,chebi,31,False,True,,0, +BIOMD0000000015,mat,ATP => SAM,R00177,R00177,1,,chebi,31,False,True,,0, +BIOMD0000000015,polyam,SAM => Ade,R00178;R01401;R02869,R00178,3,,chebi,31,False,True,,0, +BIOMD0000000015,prpps,R5P => PRPP,R01049,R01049,1,,chebi,31,False,True,,0, +BIOMD0000000015,pyr,PRPP =>,R01870,R01870,1,,chebi,31,True,False,exchange_ssx,0, +BIOMD0000000015,xd,Xa => UA,R02107,R02107,1,,chebi,31,False,True,,0, +BIOMD0000000017,R11,NADH + AcetoinIn => NAD + Butanediol,R02344;R02946,R02344,2,,chebi,19,False,True,,0, +BIOMD0000000017,R2,NADH + pyruvate => NAD + lactate,R00703;R00704,R00703,2,,chebi,19,False,True,,0, +BIOMD0000000017,R3,NAD + pyruvate + CoA => NADH + AcCoA,R00209,R00209,1,,chebi,19,False,True,,0, +BIOMD0000000017,R4,AcCoA + PO4 => CoA + AcP,R00230,R00230,1,,chebi,19,False,True,,0, +BIOMD0000000017,R5,ADP + AcP => ATP + Ac,R00315,R00315,1,,chebi,19,False,True,,0, +BIOMD0000000017,R6,NADH + AcCoA => NAD + CoA + AcO,R00228,R00228,1,,chebi,19,False,True,,0, +BIOMD0000000017,R7,NADH + AcO => NAD + EtOH,R00754,R00754,1,,chebi,19,False,True,,0, +BIOMD0000000017,R8,2 pyruvate => AcLac,R00006,R00006,1,,chebi,19,False,True,,0, +BIOMD0000000017,R9,AcLac => AcetoinIn,R02947,R02947,1,,chebi,19,False,True,,0, +BIOMD0000000018,ATIC12,FFH2 + AICAR => FH2f,R04560,R04560,1,,chebi,18,False,True,,0, +BIOMD0000000018,ATIC7,CHOFH4 + AICAR => FH4,R04560,R04560,1,,chebi,18,False,True,,0, +BIOMD0000000018,DHFReductase,FH2f => FH4,R00939,R00939,1,,chebi,18,False,True,,0, +BIOMD0000000018,FFH2syn,FH2f => FFH2,R02238,R02238,1,,chebi,18,False,True,,0, +BIOMD0000000018,GARFT,CHOFH4 + GAR => FGAR + FH4,R04325,R04325,1,,chebi,18,False,True,,0, +BIOMD0000000018,HCOOHtoCHOFH4,FH4 + formate + ATP => CHOFH4,R00943,R00943,1,,chebi,18,False,True,,0, +BIOMD0000000018,MTHFD,CH2FH4 + NADP => CHOFH4,R01220;R01655,R01220,2,,chebi,18,False,True,,0, +BIOMD0000000018,MTHFR,CH2FH4 + NADPH => CH3FH4,R01224,R01224,1,,chebi,18,False,True,,0, +BIOMD0000000018,MTR,CH3FH4 + homocysteine => FH4,R00946,R00946,1,,chebi,18,False,True,,0, +BIOMD0000000018,SHMT,FH4 + serine => CH2FH4,R00945,R00945,1,,chebi,18,False,True,,0, +BIOMD0000000018,SHMTr,CH2FH4 => FH4,R00945,R00945,1,,chebi,18,False,True,,0, +BIOMD0000000018,TYMS,CH2FH4 + dUMP => FH2f,R02101,R02101,1,,chebi,18,False,True,,0, +BIOMD0000000023,v3,ATP + Glc <=> HexP + ADP,R00299,R00299,1,,chebi,16,False,True,,0, +BIOMD0000000023,v4,Fru + ATP <=> HexP + ADP,R00760;R03920,R00760,2,,chebi,16,False,True,,0, +BIOMD0000000023,v5,Fru + ATP <=> HexP + ADP,R00760,R00760,1,,chebi,16,False,True,,0, +BIOMD0000000023,v6,2 HexP <=> UDP + Suc6P,R00766,R00766,1,,chebi,16,False,True,,0, +BIOMD0000000023,v7,Suc6P <=> Suc + phos,R00805,R00805,1,,chebi,16,False,True,,0, +BIOMD0000000023,v8,HexP + Fru <=> Suc + UDP,R00806,R00806,1,,chebi,16,False,True,,0, +BIOMD0000000023,v9,Suc <=> Fru + Glc,R00802,R00802,1,,chebi,16,False,True,,0, +BIOMD0000000038,v1,PEP + EI <=> PyrPI,R02628,R02628,1,,chebi,6,False,True,,0, +BIOMD0000000038,v2,PyrPI <=> EIP + Pyr,R02628,R02628,1,,chebi,6,False,True,,0, +BIOMD0000000042,reaction_1,GLC + ATP => F6P + ADP,R00299;R00771,R00299,2,,chebi,14,False,True,,0, +BIOMD0000000042,reaction_2,F6P + ATP => FBP + ADP,R00756,R00756,1,,chebi,14,False,True,,0, +BIOMD0000000042,reaction_3,FBP <=> 2 GAP,R01015;R01070,R01015,2,,chebi,14,False,True,,0, +BIOMD0000000042,reaction_4,GAP + NAD => DPG + NADH,R01061,R01061,1,,chebi,14,False,True,,0, +BIOMD0000000042,reaction_5,DPG + ADP <=> PEP + ATP,R00658;R01512;R01518,R00658,3,,chebi,14,False,True,,0, +BIOMD0000000042,reaction_6,PEP + ADP => PYR + ATP,R00200,R00200,1,,chebi,14,False,True,,0, +BIOMD0000000042,reaction_7,PYR => ACA,R00224,R00224,1,,chebi,14,False,True,,0, +BIOMD0000000042,reaction_8,ACA + NADH <=> EtOH + NAD,R00754,R00754,1,,chebi,14,False,True,,0, +BIOMD0000000042,reaction_9,AMP + ATP <=> 2 ADP,R00127,R00127,1,,chebi,14,False,True,,0, +BIOMD0000000046,v1,NADH + O2 => H2O2 + NAD,R07171,R07171,1,,chebi,13,False,True,,0, +BIOMD0000000046,v7,2 super => H2O2 + O2,R00275,R00275,1,,chebi,13,False,True,,0, +BIOMD0000000051,vALDO,cfdp <=> cdhap + cgap,R01070,R01070,1,,chebi,20,False,True,,0, +BIOMD0000000051,vDAHPS,ce4p + cpep <=>,R01826,R01826,1,,chebi,20,True,False,exchange_ssx,0, +BIOMD0000000051,vENO,cpg2 <=> cpep,R00658,R00658,1,,chebi,20,False,True,,0, +BIOMD0000000051,vG1PAT,cg1p <=>,R00948,R00948,1,,chebi,20,True,False,exchange_ssx,0, +BIOMD0000000051,vG3PDH,cdhap <=>,R00842,R00842,1,,chebi,20,True,False,exchange_ssx,0, +BIOMD0000000051,vG6PDH,cg6p <=> cpg,R00835;R02035,R00835,2,,chebi,20,False,True,,0, +BIOMD0000000051,vGAPDH,cgap <=> cpgp,R01061,R01061,1,,chebi,20,False,True,,0, +BIOMD0000000051,vPDH,cpyr <=>,R00209,R00209,1,,chebi,20,True,False,exchange_ssx,0, +BIOMD0000000051,vPFK,cf6p <=> cfdp,R00756,R00756,1,,chebi,20,False,True,,0, +BIOMD0000000051,vPGDH,cpg <=> cribu5p,R01528,R01528,1,,chebi,20,False,True,,0, +BIOMD0000000051,vPGI,cg6p <=> cf6p,R00771,R00771,1,,chebi,20,False,True,,0, +BIOMD0000000051,vPGK,cpgp <=> cpg3,R01512,R01512,1,,chebi,20,False,True,,0, +BIOMD0000000051,vPGM,cg6p <=> cg1p,R00959,R00959,1,,chebi,20,False,True,,0, +BIOMD0000000051,vPK,cpep <=> cpyr,R00200,R00200,1,,chebi,20,False,True,,0, +BIOMD0000000051,vPPK,crib5p <=>,R01049,R01049,1,,chebi,20,True,False,exchange_ssx,0, +BIOMD0000000051,vR5PI,cribu5p <=> crib5p,R01056,R01056,1,,chebi,20,False,True,,0, +BIOMD0000000051,vRu5P,cribu5p <=> cxyl5p,R01529,R01529,1,,chebi,20,False,True,,0, +BIOMD0000000051,vTA,cgap + csed7p <=> cf6p + ce4p,R01827,R01827,1,,chebi,20,False,True,,0, +BIOMD0000000051,vTIS,cdhap <=> cgap,R01015,R01015,1,,chebi,20,False,True,,0, +BIOMD0000000051,vTKA,crib5p + cxyl5p <=> cgap + csed7p,R01641,R01641,1,,chebi,20,False,True,,0, +BIOMD0000000051,vTKB,ce4p + cxyl5p <=> cgap + cf6p,R01067,R01067,1,,chebi,20,False,True,,0, +BIOMD0000000051,vpepCxylase,cpep <=>,R00345,R00345,1,,chebi,20,True,False,exchange_ssx,0, +BIOMD0000000051,vrpGluMu,cpg3 <=> cpg2,R01518,R01518,1,,chebi,20,False,True,,0, +BIOMD0000000061,vADH,NADH + ACA <=> NAD + EtOH,R00754,R00754,1,,chebi,25,False,True,,0, +BIOMD0000000061,vALD,FBP <=> GAP + DHAP,R01070,R01070,1,,chebi,25,False,True,,0, +BIOMD0000000061,vGAPDH,GAP + NAD <=> NADH + BPG,R01061,R01061,1,,chebi,25,False,True,,0, +BIOMD0000000061,vHK,ATP + Glc <=> G6P + ADP,R00299,R00299,1,,chebi,25,False,True,,0, +BIOMD0000000061,vPDC,Pyr <=> ACA,R00224,R00224,1,,chebi,25,False,True,,0, +BIOMD0000000061,vPFK,F6P + ATP <=> FBP + ADP,R00756,R00756,1,,chebi,25,False,True,,0, +BIOMD0000000061,vPGI,G6P <=> F6P,R00771,R00771,1,,chebi,25,False,True,,0, +BIOMD0000000061,vPK,ADP + PEP <=> Pyr + ATP,R00200,R00200,1,,chebi,25,False,True,,0, +BIOMD0000000061,vTIM,DHAP <=> GAP,R01015,R01015,1,,chebi,25,False,True,,0, +BIOMD0000000061,vlpGlyc,DHAP + NADH <=> Glyc + NAD,R01011;R01034,R01011,2,,chebi,25,False,True,,0, +BIOMD0000000061,vlpPEP,BPG + ADP <=> PEP + ATP,R00658;R01512;R01518,R00658,3,,chebi,25,False,True,,0, +BIOMD0000000063,Vgapd,FDP <=> 2 ATP + 2 PEP,R00658;R01015;R01061;R01070;R01512;R01518,R00658,6,,chebi,10,False,True,,0, +BIOMD0000000063,Vhk,ATP + Glci <=> G6P,R00299,R00299,1,,chebi,10,False,True,,0, +BIOMD0000000063,Vpfk,ATP + G6P <=> FDP,R00756;R00771,R00756,2,,chebi,10,False,True,,0, +BIOMD0000000064,vADH,ACE + NADH <=> NAD + ETOH,R00746,R00746,1,,chebi,31,False,True,,0, +BIOMD0000000064,vALD,F16P <=> 2 TRIO,R01070,R01070,1,,chebi,31,False,True,,0, +BIOMD0000000064,vENO,P2G <=> PEP,R00658,R00658,1,,chebi,31,False,True,,0, +BIOMD0000000064,vGAPDH,TRIO + NAD <=> BPG + NADH,R01061,R01061,1,,chebi,31,False,True,,0, +BIOMD0000000064,vGLK,GLCi + P <=> G6P,R00299,R00299,1,,chebi,31,False,True,,0, +BIOMD0000000064,vPDC,PYR => ACE + CO2,R00224,R00224,1,,chebi,31,False,True,,0, +BIOMD0000000064,vPFK,F6P + P => F16P,R00756,R00756,1,,chebi,31,False,True,,0, +BIOMD0000000064,vPGI,G6P <=> F6P,R00771,R00771,1,,chebi,31,False,True,,0, +BIOMD0000000064,vPGK,BPG <=> P3G + P,R01512,R01512,1,,chebi,31,False,True,,0, +BIOMD0000000064,vPGM,P3G <=> P2G,R01518,R01518,1,,chebi,31,False,True,,0, +BIOMD0000000064,vPYK,PEP <=> PYR + P,R00200,R00200,1,,chebi,31,False,True,,0, +BIOMD0000000066,vak,atp + asp <=> aspp + adp,R00480,R00480,1,,chebi,11,False,True,,0, +BIOMD0000000066,vasd,nadph + aspp <=> nadp + phos + asa,R02291,R02291,1,,chebi,11,False,True,,0, +BIOMD0000000066,vhdh,nadph + asa <=> hs + nadp,R01775,R01775,1,,chebi,11,False,True,,0, +BIOMD0000000066,vhk,hs + atp <=> hsp + adp,R01771,R01771,1,,chebi,11,False,True,,0, +BIOMD0000000066,vtsy,hsp <=> thr + phos,R01466,R01466,1,,chebi,11,False,True,,0, +BIOMD0000000067,V_Acs,OAc => AcCoA,R00235,R00235,1,,chebi,5,False,True,,0, +BIOMD0000000067,V_Pta,AcCoA => AcP,R00230,R00230,1,,chebi,5,False,True,,0, +BIOMD0000000068,v1,Hser <=> Phser,R01775,R01775,1,,chebi,7,False,True,,0, +BIOMD0000000068,vThr,Phser <=> Thr + Phi,R01466,R01466,1,,chebi,7,False,True,,0, +BIOMD0000000070,vAK,MgATP + AMPf <=> ADPf + MgADP,R00127,R00127,1,,chebi,60,False,True,,0, +BIOMD0000000070,vALD,Fru16P2 <=> GraP + DHAP,R01070,R01070,1,,chebi,60,False,True,,0, +BIOMD0000000070,vATPase,MgATP <=> Phi + MgADP,R00086,R00086,1,,chebi,60,False,True,,0, +BIOMD0000000070,vBPGM,Gri13P2 <=> Gri23P2f,R01662,R01662,1,,chebi,60,False,True,,0, +BIOMD0000000070,vBPGP,Gri23P2f <=> Gri3P + Phi,R01516,R01516,1,,chebi,60,False,True,,0, +BIOMD0000000070,vENO,Gri2P <=> PEP,R00658,R00658,1,,chebi,60,False,True,,0, +BIOMD0000000070,vG6PDH,Glc6P + NADPf <=> GlcA6P + NADPHf,R00835,R00835,1,,chebi,60,False,True,,0, +BIOMD0000000070,vGAPDH,GraP + Phi + NAD <=> NADH + Gri13P2,R01061,R01061,1,,chebi,60,False,True,,0, +BIOMD0000000070,vGPI,Glc6P <=> Fru6P,R00771,R00771,1,,chebi,60,False,True,,0, +BIOMD0000000070,vGSSGRD,GSSG + NADPHf <=> 2 GSH + NADPf,R00094,R00094,1,,chebi,60,False,True,,0, +BIOMD0000000070,vHEX,Glcin + MgATP <=> Glc6P + MgADP,R00299,R00299,1,,chebi,60,False,True,,0, +BIOMD0000000070,vLDHNADH,NADH + Pyr <=> Lac + NAD,R00703,R00703,1,,chebi,60,False,True,,0, +BIOMD0000000070,vPFK,MgATP + Fru6P <=> Fru16P2 + MgADP,R00756,R00756,1,,chebi,60,False,True,,0, +BIOMD0000000070,vPGK,MgADP + Gri13P2 <=> MgATP + Gri3P,R01512,R01512,1,,chebi,60,False,True,,0, +BIOMD0000000070,vPGLDH,GlcA6P + NADPf <=> Rul5P + NADPHf,R01528;R02035,R01528,2,,chebi,60,False,True,,0, +BIOMD0000000070,vPGM,Gri3P <=> Gri2P,R01518,R01518,1,,chebi,60,False,True,,0, +BIOMD0000000070,vPK,PEP + MgADP <=> MgATP + Pyr,R00200,R00200,1,,chebi,60,False,True,,0, +BIOMD0000000070,vPPRPPS,MgATP + Rib5P <=> MgAMP + PRPP,R01049,R01049,1,,chebi,60,False,True,,0, +BIOMD0000000070,vRibPepi,Rul5P <=> Xul5P,R01529,R01529,1,,chebi,60,False,True,,0, +BIOMD0000000070,vRibPiso,Rul5P <=> Rib5P,R01056,R01056,1,,chebi,60,False,True,,0, +BIOMD0000000070,vTPI,DHAP <=> GraP,R01015,R01015,1,,chebi,60,False,True,,0, +BIOMD0000000070,vTrAld,GraP + Sed7P <=> E4P + Fru6P,R01827,R01827,1,,chebi,60,False,True,,0, +BIOMD0000000070,vTrKet1,Xul5P + Rib5P <=> GraP + Sed7P,R01641,R01641,1,,chebi,60,False,True,,0, +BIOMD0000000070,vTrKet2,Xul5P + E4P <=> GraP + Fru6P,R01830,R01830,1,,chebi,60,False,True,,0, +BIOMD0000000071,vALD,Fru16BP <=> GAP + DHAP,R01070,R01070,1,,chebi,29,False,True,,0, +BIOMD0000000071,vGAPdh,GAP + NAD <=> NADH + BPGA13,R01061,R01061,1,,chebi,29,False,True,,0, +BIOMD0000000071,vGDH,DHAP + NADH <=> NAD + Gly3P,R00841,R00841,1,,chebi,29,False,True,,0, +BIOMD0000000071,vGPO,Gly3P => DHAP,R00846,R00846,1,,chebi,29,False,True,,0, +BIOMD0000000071,vGlyK,Gly3P <=> Pg + Gly,R00847,R00847,1,,chebi,29,False,True,,0, +BIOMD0000000071,vHK,Pg + GlcI => Glc6P,R00299,R00299,1,,chebi,29,False,True,,0, +BIOMD0000000071,vPFK,Pg + Fru6P => Fru16BP,R00756,R00756,1,,chebi,29,False,True,,0, +BIOMD0000000071,vPGI,Glc6P <=> Fru6P,R00771,R00771,1,,chebi,29,False,True,,0, +BIOMD0000000071,vPK,Nb => Pc + Pyr,R00200,R00200,1,,chebi,29,False,True,,0, +BIOMD0000000071,vTPI,DHAP <=> GAP,R01015,R01015,1,,chebi,29,False,True,,0, +BIOMD0000000076,Gpd_p,DHAP <=> G3P,R00842,R00842,1,,chebi,3,False,True,,0, +BIOMD0000000076,Gpp_p,G3P <=> Gly,R00841,R00841,1,,chebi,3,False,True,,0, +BIOMD0000000081,IP3Phosphatase,0 ip3_C <=>,R03394,R03394,1,,chebi,29,True,False,exchange_ssx,0, +BIOMD0000000081,PI4Kinase,0.0009967 ATP_C + PI_M <=> PIP_M,R03361,R03361,1,,chebi,29,False,True,,0, +BIOMD0000000081,PIP2_5Pase,PIP2_M <=> PIP_M,R04404,R04404,1,,chebi,29,False,True,,0, +BIOMD0000000081,PIP5kinase,0.0009967 ATP_C + PIP_M <=> PIP2_M,R03469,R03469,1,,chebi,29,False,True,,0, +BIOMD0000000081,PLC,PIP2_M <=> 0.0009967 ip3_C,R03435,R03435,1,,chebi,29,False,True,,0, +BIOMD0000000088,re137,s467 => s359 + s570,R03151,R03151,1,,chebi,54,False,True,,0, +BIOMD0000000088,re138,s470 => s359 + s351,R03151,R03151,1,,chebi,54,False,True,,0, +BIOMD0000000088,re139,s477 => s358 + s570,R03151,R03151,1,,chebi,54,False,True,,0, +BIOMD0000000088,re140,s480 => s358 + s351,R03151,R03151,1,,chebi,54,False,True,,0, +BIOMD0000000088,re156,s487 => s359 + s289,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re157,s491 => s360 + s289,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re158,s358 + s292 <=> s551,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re159,s358 + s293 <=> s539,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re160,s358 + s294 <=> s520,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re161,s358 + s295 <=> s513,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re162,s359 + s292 <=> s546,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re163,s359 + s293 <=> s526,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re164,s359 + s294 <=> s512,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re165,s359 + s295 <=> s506,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re166,s506 => s360 + s295,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re167,s513 => s359 + s295,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re168,s512 => s360 + s294,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re169,s520 => s359 + s294,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re170,s526 => s360 + s293,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re171,s539 => s359 + s293,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re172,s546 => s360 + s292,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re173,s551 => s359 + s292,R03150,R03150,1,,chebi,54,False,True,,0, +BIOMD0000000088,re55,s569 + s151 <=> s568,R03435,R03435,1,,chebi,54,False,True,,0, +BIOMD0000000088,re56,s564 + s151 <=> s567,R03435,R03435,1,,chebi,54,False,True,,0, +BIOMD0000000088,re57,s568 => s152 + s153 + s569,R03435,R03435,1,,chebi,54,False,True,,0, +BIOMD0000000088,re58,s567 => s153 + s152 + s564,R03435,R03435,1,,chebi,54,False,True,,0, +BIOMD0000000093,v10,IFNRJ2_star_SHP2 => SHP2 + IFNRJ2,R02585,R02585,1,,chebi,2,False,True,,0, +BIOMD0000000093,v4,IFNRJ2 => IFNRJ2_star,R02584,R02584,1,,chebi,2,False,True,,0, +BIOMD0000000094,v10,IFNRJ2_star_SHP2 => SHP2 + IFNRJ2,R02585,R02585,1,,chebi,2,False,True,,0, +BIOMD0000000094,v4,IFNRJ2 => IFNRJ2_star,R02584,R02584,1,,chebi,2,False,True,,0, +BIOMD0000000108,reaction_1,species_0000001 => species_0000006 + species_0000002,R05743,R05743,1,,chebi,5,False,True,,0, +BIOMD0000000122,R1,NFAT_Pi_Nuc + Act_C_Nuc <=> Act_C_Nuc + NFAT_Nuc,R00164,R00164,1,,chebi,2,False,True,,0, +BIOMD0000000123,R1,NFAT_Pi_Nuc + Act_C_Nuc <=> Act_C_Nuc + NFAT_Nuc,R00164,R00164,1,,chebi,2,False,True,,0, +BIOMD0000000137,R14,x14 <=> x13,R04545,R04545,1,,chebi,3,False,True,,0, +BIOMD0000000143,R5,2 O2minus_p + 2 H_p => O2_p + H2O2_p,R00275,R00275,1,,chebi,16,False,True,,0, +BIOMD0000000143,R7,O2_c + NADPH_c => H2O2_c + NADPplus_c,R07172,R07172,1,,chebi,16,False,True,,0, +BIOMD0000000143,R9,2 O2minus_c + 2 H_c => O2_c + H2O2_c,R00275,R00275,1,,chebi,16,False,True,,0, +BIOMD0000000171,P1_pho,P1 => P2,R00162,R00162,1,,chebi,2,False,True,,0, +BIOMD0000000171,P_pho,P0 => P1,R00162,R00162,1,,chebi,2,False,True,,0, +BIOMD0000000171,T1_pho,T1 => T2,R00162,R00162,1,,chebi,2,False,True,,0, +BIOMD0000000171,T_pho,T0 => T1,R00162,R00162,1,,chebi,2,False,True,,0, +BIOMD0000000172,ADH,NAD + EtOH <=> NADH + AcAld,R00754,R00754,1,,chebi,25,False,True,,0, +BIOMD0000000172,AK,2 ADP <=> ATP + AMP,R00127,R00127,1,,chebi,25,False,True,,0, +BIOMD0000000172,ALD,F16bP <=> DHAP + GAP,R01068,R01068,1,,chebi,25,False,True,,0, +BIOMD0000000172,ENO,P2G <=> PEP,R00658,R00658,1,,chebi,25,False,True,,0, +BIOMD0000000172,G3PDH,DHAP + NADH => NAD + Glycerol,R00842;R07298,R00842,2,,chebi,25,False,True,,0, +BIOMD0000000172,GAPDH,GAP + NAD <=> BPG + NADH,R01061,R01061,1,,chebi,25,False,True,,0, +BIOMD0000000172,HK,GLCi + ATP <=> G6P + ADP,R02848,R02848,1,,chebi,25,False,True,,0, +BIOMD0000000172,PDC,PYR => AcAld + CO2,R00636,R00636,1,,chebi,25,False,True,,0, +BIOMD0000000172,PFK,ATP + F6P => ADP + F16bP,R00756,R00756,1,,chebi,25,False,True,,0, +BIOMD0000000172,PGI,G6P <=> F6P,R00771,R00771,1,,chebi,25,False,True,,0, +BIOMD0000000172,PGK,ADP + BPG <=> ATP + P3G,R01512,R01512,1,,chebi,25,False,True,,0, +BIOMD0000000172,PGM,P3G <=> P2G,R01518,R01518,1,,chebi,25,False,True,,0, +BIOMD0000000172,PYK,ADP + PEP <=> ATP + PYR,R00200,R00200,1,,chebi,25,False,True,,0, +BIOMD0000000172,TPI,DHAP <=> GAP,R01015,R01015,1,,chebi,25,False,True,,0, +BIOMD0000000176,ADH,NAD + EtOH <=> NADH + AcAld,R00754,R00754,1,,chebi,25,False,True,,0, +BIOMD0000000176,AK,2 ADP <=> ATP + AMP,R00127,R00127,1,,chebi,25,False,True,,0, +BIOMD0000000176,ENO,P2G <=> PEP,R00658,R00658,1,,chebi,25,False,True,,0, +BIOMD0000000176,FBA,F16bP <=> DHAP + GAP,R01068,R01068,1,,chebi,25,False,True,,0, +BIOMD0000000176,G3PDH,DHAP + NADH <=> NAD + Glycerol,R00842;R07298,R00842,2,,chebi,25,False,True,,0, +BIOMD0000000176,GPM,P3G <=> P2G,R01518,R01518,1,,chebi,25,False,True,,0, +BIOMD0000000176,HXK,GLCi + ATP <=> G6P + ADP,R02848,R02848,1,,chebi,25,False,True,,0, +BIOMD0000000176,PDC,PYR => AcAld + CO2,R00636,R00636,1,,chebi,25,False,True,,0, +BIOMD0000000176,PFK,ATP + F6P => ADP + F16bP,R00756,R00756,1,,chebi,25,False,True,,0, +BIOMD0000000176,PGI,G6P <=> F6P,R00771,R00771,1,,chebi,25,False,True,,0, +BIOMD0000000176,PGK,ADP + BPG <=> ATP + P3G,R01512,R01512,1,,chebi,25,False,True,,0, +BIOMD0000000176,PYK,ADP + PEP <=> ATP + PYR,R00200,R00200,1,,chebi,25,False,True,,0, +BIOMD0000000176,TDH,GAP + NAD <=> BPG + NADH,R01061,R01061,1,,chebi,25,False,True,,0, +BIOMD0000000176,TPI,DHAP <=> GAP,R01015,R01015,1,,chebi,25,False,True,,0, +BIOMD0000000177,ADH,NAD + EtOH <=> NADH + AcAld,R00754,R00754,1,,chebi,27,False,True,,0, +BIOMD0000000177,AK,2 ADP <=> ATP + AMP,R00127,R00127,1,,chebi,27,False,True,,0, +BIOMD0000000177,ENO,P2G <=> PEP,R00658,R00658,1,,chebi,27,False,True,,0, +BIOMD0000000177,FBA,F16bP <=> DHAP + GAP,R01068,R01068,1,,chebi,27,False,True,,0, +BIOMD0000000177,G3PDH,DHAP + NADH <=> NAD + Glycerol,R00842;R07298,R00842,2,,chebi,27,False,True,,0, +BIOMD0000000177,HXK,GLCi + ATP <=> G6P + ADP,R02848,R02848,1,,chebi,27,False,True,,0, +BIOMD0000000177,PDC,PYR => AcAld + CO2,R00636,R00636,1,,chebi,27,False,True,,0, +BIOMD0000000177,PDH,PYRmito => AcCoA + CO2mito,R00209,R00209,1,,chebi,27,False,True,,0, +BIOMD0000000177,PFK,ATP + F6P => ADP + F16bP,R00756,R00756,1,,chebi,27,False,True,,0, +BIOMD0000000177,PGI,G6P <=> F6P,R00771,R00771,1,,chebi,27,False,True,,0, +BIOMD0000000177,PGK,ADP + BPG <=> ATP + P3G,R01512,R01512,1,,chebi,27,False,True,,0, +BIOMD0000000177,PGM,P3G <=> P2G,R01518,R01518,1,,chebi,27,False,True,,0, +BIOMD0000000177,PYK,ADP + PEP <=> ATP + PYR,R00200,R00200,1,,chebi,27,False,True,,0, +BIOMD0000000177,TDH,GAP + NAD <=> BPG + NADH,R01061,R01061,1,,chebi,27,False,True,,0, +BIOMD0000000177,TPI,DHAP <=> GAP,R01015,R01015,1,,chebi,27,False,True,,0, +BIOMD0000000190,MAT,Met => SAM,R00177,R00177,1,,chebi,11,False,True,,0, +BIOMD0000000190,ODC,ORN => P,R00670,R00670,1,,chebi,11,False,True,,0, +BIOMD0000000190,PAO_for_aD,aD => P,R03899,R03899,1,,chebi,11,False,True,,0, +BIOMD0000000190,PAO_for_aS,aS => D,R03899,R03899,1,,chebi,11,False,True,,0, +BIOMD0000000190,SAMdc,SAM => A,R00178,R00178,1,,chebi,11,False,True,,0, +BIOMD0000000190,SSAT_for_D,D + AcCoA => aD + CoA,R03910,R03910,1,,chebi,11,False,True,,0, +BIOMD0000000190,SSAT_for_S,S + AcCoA => aS + CoA,R03910,R03910,1,,chebi,11,False,True,,0, +BIOMD0000000190,SpdS,A + P => D,R01920,R01920,1,,chebi,11,False,True,,0, +BIOMD0000000190,SpmS,A + D => S,R02869,R02869,1,,chebi,11,False,True,,0, +BIOMD0000000191,Arginase,ARGin => ORN,R00551,R00551,1,,chebi,3,False,True,,0, +BIOMD0000000191,NOS,ARGin =>,R00557,R00557,1,,chebi,3,True,False,exchange_ssx,0, +BIOMD0000000191,ODC,ORN =>,R00670,R00670,1,,chebi,3,True,False,exchange_ssx,0, +BIOMD0000000206,v1,s1 + 2 at <=> s2,R00299;R00756,R00299,2,,chebi,11,False,True,,0, +BIOMD0000000206,v2,s2 <=> 2 s3,R01070,R01070,1,,chebi,11,False,True,,0, +BIOMD0000000206,v4,s4 <=> s5 + at,R00200;R00658,R00200,2,,chebi,11,False,True,,0, +BIOMD0000000206,v5,s5 <=> s6,R00224,R00224,1,,chebi,11,False,True,,0, +BIOMD0000000206,v6,s6 <=> na,R00754,R00754,1,,chebi,11,False,True,,0, +BIOMD0000000206,v8,s3 <=> na,R05679,R05679,1,,chebi,11,False,True,,0, +BIOMD0000000211,vAKc,species_3 + species_6 <=> 2 species_2,R00127,R00127,1,,chebi,28,False,True,,0, +BIOMD0000000211,vAKg,species_11 + species_13 <=> 2 species_12,R00127,R00127,1,,chebi,28,False,True,,0, +BIOMD0000000211,vALD,species_16 <=> species_17 + species_18,R01070,R01070,1,,chebi,28,False,True,,0, +BIOMD0000000211,vENO,species_5 <=> species_4,R00658,R00658,1,,chebi,28,False,True,,0, +BIOMD0000000211,vGAPDH,species_18 + species_19 <=> species_21 + species_20,R01061,R01061,1,,chebi,28,False,True,,0, +BIOMD0000000211,vGK,species_22 + species_12 <=> species_24 + species_11,R00847,R00847,1,,chebi,28,False,True,,0, +BIOMD0000000211,vGPDH,species_17 + species_20 <=> species_19 + species_22,R00841,R00841,1,,chebi,28,False,True,,0, +BIOMD0000000211,vGPO,species_9 => species_8,R00846,R00846,1,,chebi,28,False,True,,0, +BIOMD0000000211,vHK,species_10 + species_11 <=> species_14 + species_12,R00299,R00299,1,,chebi,28,False,True,,0, +BIOMD0000000211,vPFK,species_15 + species_11 <=> species_16 + species_12,R00756,R00756,1,,chebi,28,False,True,,0, +BIOMD0000000211,vPGI,species_14 <=> species_15,R00771,R00771,1,,chebi,28,False,True,,0, +BIOMD0000000211,vPGK,species_21 + species_12 <=> species_23 + species_11,R01512,R01512,1,,chebi,28,False,True,,0, +BIOMD0000000211,vPGM,species_7 <=> species_5,R01518,R01518,1,,chebi,28,False,True,,0, +BIOMD0000000211,vPK,species_4 + species_2 <=> species_1 + species_3,R00200,R00200,1,,chebi,28,False,True,,0, +BIOMD0000000211,vTPI,species_17 <=> species_18,R01015,R01015,1,,chebi,28,False,True,,0, +BIOMD0000000212,Vak1,Asp <=> AspP,R00480,R00480,1,,chebi,18,False,True,,0, +BIOMD0000000212,Vak2,Asp <=> AspP,R00480,R00480,1,,chebi,18,False,True,,0, +BIOMD0000000212,VakI,Asp <=> AspP,R00480,R00480,1,,chebi,18,False,True,,0, +BIOMD0000000212,VakII,Asp <=> AspP,R00480,R00480,1,,chebi,18,False,True,,0, +BIOMD0000000212,Vasadh,AspP <=> ASA,R02291,R02291,1,,chebi,18,False,True,,0, +BIOMD0000000212,Vcgs,PHser => Cysta,R03260,R03260,1,,chebi,18,False,True,,0, +BIOMD0000000212,Vhsdh1,ASA <=> Hser,R01775,R01775,1,,chebi,18,False,True,,0, +BIOMD0000000212,Vhsdh2,ASA <=> Hser,R01775,R01775,1,,chebi,18,False,True,,0, +BIOMD0000000212,Vhsk,Hser => PHser,R01771,R01771,1,,chebi,18,False,True,,0, +BIOMD0000000212,VileTRNA,Ile => IleTRNA,R03656,R03656,1,,chebi,18,False,True,,0, +BIOMD0000000212,VlysKR,Lys => Sacc,R00716,R00716,1,,chebi,18,False,True,,0, +BIOMD0000000212,VlysTRNA,Lys => LysTRNA,R03658,R03658,1,,chebi,18,False,True,,0, +BIOMD0000000212,Vtha,Thr => Gly,R00751,R00751,1,,chebi,18,False,True,,0, +BIOMD0000000212,VthrTRNA,Thr => ThrTRNA,R03663,R03663,1,,chebi,18,False,True,,0, +BIOMD0000000212,Vts1,PHser => Thr,R01466,R01466,1,,chebi,18,False,True,,0, +BIOMD0000000213,V_AICART,_10fTHF => THF,R04560,R04560,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_DHFR,DHF => THF,R00939,R00939,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_FTD,_10fTHF => THF,R00941,R00941,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_FTS,THF => _10fTHF,R00943,R00943,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_MS,_5mTHF => THF,R00946,R00946,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_MTCH,_5_10_CHTHF => _10fTHF,R01655,R01655,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_MTD,_5_10_CH2THF => _5_10_CHTHF,R01220,R01220,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_MTHFR,_5_10_CH2THF => _5mTHF,R01224,R01224,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_PGT,_10fTHF => THF,R04325,R04325,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_SHMT,THF => _5_10_CH2THF,R00945,R00945,1,,chebi,15,False,True,,0, +BIOMD0000000213,V_TS,_5_10_CH2THF => DHF,R02101,R02101,1,,chebi,15,False,True,,0, +BIOMD0000000218,ACN,cit <=> icit,R01324,R01324,1,,chebi,12,False,True,,0, +BIOMD0000000218,CS,aca + oaa <=> coa + cit,R00351,R00351,1,,chebi,12,False,True,,0, +BIOMD0000000218,FUM,fa <=> mal,R01082,R01082,1,,chebi,12,False,True,,0, +BIOMD0000000218,ICD1,icit <=> akg,R00709,R00709,1,,chebi,12,False,True,,0, +BIOMD0000000218,ICD2,icit <=> akg,R00709,R00709,1,,chebi,12,False,True,,0, +BIOMD0000000218,ICL1,icit <=> suc + gly,R00479,R00479,1,,chebi,12,False,True,,0, +BIOMD0000000218,ICL2,icit <=> suc + gly,R00479,R00479,1,,chebi,12,False,True,,0, +BIOMD0000000218,KGD,akg <=> ssa,R00272,R00272,1,,chebi,12,False,True,,0, +BIOMD0000000218,MDH,mal <=> oaa,R00342,R00342,1,,chebi,12,False,True,,0, +BIOMD0000000218,MS,gly + aca <=> mal + coa,R00472,R00472,1,,chebi,12,False,True,,0, +BIOMD0000000218,SDH,suc <=> fa,R00402,R00402,1,,chebi,12,False,True,,0, +BIOMD0000000218,SSADH,ssa <=> suc,R00713,R00713,1,,chebi,12,False,True,,0, +BIOMD0000000218,ScAS,sca <=> suc,R00407,R00407,1,,chebi,12,False,True,,0, +BIOMD0000000219,ACN,cit <=> icit,R01324,R01324,1,,chebi,12,False,True,,0, +BIOMD0000000219,CS,aca + oaa <=> coa + cit,R00351,R00351,1,,chebi,12,False,True,,0, +BIOMD0000000219,FUM,fa <=> mal,R01082,R01082,1,,chebi,12,False,True,,0, +BIOMD0000000219,ICD1,icit <=> akg,R00709,R00709,1,,chebi,12,False,True,,0, +BIOMD0000000219,ICD2,icit <=> akg,R00709,R00709,1,,chebi,12,False,True,,0, +BIOMD0000000219,ICL1,icit <=> suc + gly,R00479,R00479,1,,chebi,12,False,True,,0, +BIOMD0000000219,ICL2,icit <=> suc + gly,R00479,R00479,1,,chebi,12,False,True,,0, +BIOMD0000000219,KDH,akg <=> sca,R08549,R08549,1,,chebi,12,False,True,,0, +BIOMD0000000219,KGD,akg <=> ssa,R00272,R00272,1,,chebi,12,False,True,,0, +BIOMD0000000219,MDH,mal <=> oaa,R00342,R00342,1,,chebi,12,False,True,,0, +BIOMD0000000219,MS,gly + aca <=> mal + coa,R00472,R00472,1,,chebi,12,False,True,,0, +BIOMD0000000219,SDH,suc <=> fa,R00402,R00402,1,,chebi,12,False,True,,0, +BIOMD0000000219,SSADH,ssa <=> suc,R00714,R00714,1,,chebi,12,False,True,,0, +BIOMD0000000219,ScAS,sca <=> suc,R00407,R00407,1,,chebi,12,False,True,,0, +BIOMD0000000221,ACN,cit <=> icit,R01324,R01324,1,,chebi,11,False,True,,0, +BIOMD0000000221,CS,aca + oaa <=> coa + cit,R00351,R00351,1,,chebi,11,False,True,,0, +BIOMD0000000221,FUM,fa <=> mal,R01082,R01082,1,,chebi,11,False,True,,0, +BIOMD0000000221,ICD,icit <=> akg,R00709,R00709,1,,chebi,11,False,True,,0, +BIOMD0000000221,ICL,icit <=> suc + gly,R00479,R00479,1,,chebi,11,False,True,,0, +BIOMD0000000221,KDH,akg <=> sca,R08549,R08549,1,,chebi,11,False,True,,0, +BIOMD0000000221,MDH,mal <=> oaa,R00342,R00342,1,,chebi,11,False,True,,0, +BIOMD0000000221,MS,gly + aca <=> mal + coa,R00472,R00472,1,,chebi,11,False,True,,0, +BIOMD0000000221,SDH,suc <=> fa,R00402,R00402,1,,chebi,11,False,True,,0, +BIOMD0000000221,ScAS,sca <=> suc,R00407,R00407,1,,chebi,11,False,True,,0, +BIOMD0000000222,ACN,cit <=> icit,R01324,R01324,1,,chebi,11,False,True,,0, +BIOMD0000000222,CS,aca + oaa <=> coa + cit,R00351,R00351,1,,chebi,11,False,True,,0, +BIOMD0000000222,FUM,fa <=> mal,R01082,R01082,1,,chebi,11,False,True,,0, +BIOMD0000000222,ICD,icit <=> akg,R00709,R00709,1,,chebi,11,False,True,,0, +BIOMD0000000222,ICL,icit <=> suc + gly,R00479,R00479,1,,chebi,11,False,True,,0, +BIOMD0000000222,KDH,akg <=> sca,R08549,R08549,1,,chebi,11,False,True,,0, +BIOMD0000000222,MDH,mal <=> oaa,R00342,R00342,1,,chebi,11,False,True,,0, +BIOMD0000000222,MS,gly + aca <=> mal + coa,R00472,R00472,1,,chebi,11,False,True,,0, +BIOMD0000000222,SDH,suc <=> fa,R00402,R00402,1,,chebi,11,False,True,,0, +BIOMD0000000222,ScAS,sca <=> suc,R00407,R00407,1,,chebi,11,False,True,,0, +BIOMD0000000225,vfba,FBP => G3P,R01068,R01068,1,,chebi,6,False,True,,0, +BIOMD0000000225,vgk,GLC => G6P_F6P,R00725;R00771,R00725,2,,chebi,6,False,True,,0, +BIOMD0000000225,vpfk,G6P_F6P => FBP,R00756,R00756,1,,chebi,6,False,True,,0, +BIOMD0000000231,v1,ATP <=> AMP,R00086,R00086,1,,chebi,4,False,True,,0, +BIOMD0000000231,v2,ATP + AMP <=> 2 ADP,R00127,R00127,1,,chebi,4,False,True,,0, +BIOMD0000000231,v3,ADP <=> ATP + Pyr,R00200,R00200,1,,chebi,4,False,True,,0, +BIOMD0000000231,v4,Pyr + NADH <=> Lac,R00703,R00703,1,,chebi,4,False,True,,0, +BIOMD0000000232,v2,Pyr + NAD => AcCoA + NADH,R00209,R00209,1,,chebi,14,False,True,,0, +BIOMD0000000232,v3,OAA + AcCoA => Cit,R00351,R00351,1,,chebi,14,False,True,,0, +BIOMD0000000232,v4,Cit + NAD => KG + NADH,R00709,R00709,1,,chebi,14,False,True,,0, +BIOMD0000000232,v5,KG + ADP + 2 NAD => OAA + ATP + 2 NADH,R00355,R00355,1,,chebi,14,False,True,,0, +BIOMD0000000232,v6,OAA <=> KG,R00355,R00355,1,,chebi,14,False,True,,0, +BIOMD0000000232,v7,Pyr + ATP => OAA + ADP,R00344,R00344,1,,chebi,14,False,True,,0, +BIOMD0000000232,vANT,ATP => ADP,R00086,R00086,1,,chebi,14,False,True,,0, +BIOMD0000000232,vATP,ADP + iP + 3 He <=> ATP + H2O + 3 H,R05227,R05227,1,,chebi,14,False,True,,0, +BIOMD0000000232,vresp,NADH + 0.5 O2 + 11 H => NAD + H2O + 10 He,R07171,R07171,1,,chebi,14,False,True,,0, +BIOMD0000000236,vfba,FBP <=> 2 DHAP_G3P,R01068,R01068,1,,chebi,10,False,True,,0, +BIOMD0000000236,vgapdh,DHAP_G3P =>,R01061,R01061,1,,chebi,10,True,False,exchange_ssx,0, +BIOMD0000000236,vgk,GLC <=> G6P_F6P,R00725;R00771,R00725,2,,chebi,10,False,True,,0, +BIOMD0000000236,vpfk,G6P_F6P <=> FBP,R00756,R00756,1,,chebi,10,False,True,,0, +BIOMD0000000244,e_AceA,ICT => AKG + GLX,R00267;R00479,R00267,2,,chebi,17,False,True,,0, +BIOMD0000000244,e_AceB,ACoA + GLX => MAL,R00472,R00472,1,,chebi,17,False,True,,0, +BIOMD0000000244,e_Acoa2act,ACoA =>,R00227,R00227,1,,chebi,17,True,False,exchange_ssx,0, +BIOMD0000000245,r3,s_pyr => 0.5 s_acetald + 0.33 CO2,R00209,R00209,1,,chebi,8,False,True,,0, +BIOMD0000000245,r4,s_acetald => 1.363 s_acetate + 0.363 Red,R00710,R00710,1,,chebi,8,False,True,,0, +BIOMD0000000245,r6,s_acetald + 0.363 Red <=> 1.045 s_EtOH,R00754,R00754,1,,chebi,8,False,True,,0, +BIOMD0000000247,v6PGL,D6PGluconoLactone => D6PGluconate,R02035,R02035,1,,chebi,31,False,True,,0, +BIOMD0000000247,vADH,ACE + NADH <=> ETOH + NAD,R00746,R00746,1,,chebi,31,False,True,,0, +BIOMD0000000247,vALD,F16P <=> DHAP + GA3P,R01070,R01070,1,,chebi,31,False,True,,0, +BIOMD0000000247,vENO,P2G <=> PEP,R00658,R00658,1,,chebi,31,False,True,,0, +BIOMD0000000247,vG6PDH,G6P + NADP => D6PGluconoLactone + NADPH,R00835,R00835,1,,chebi,31,False,True,,0, +BIOMD0000000247,vGAPDH,GA3P + NAD <=> BPG + NADH,R01061,R01061,1,,chebi,31,False,True,,0, +BIOMD0000000247,vGLK,GLCi + P <=> G6P,R00299,R00299,1,,chebi,31,False,True,,0, +BIOMD0000000247,vGluDH,D6PGluconate + NADP => Ribulose5P + NADPH,R01528,R01528,1,,chebi,31,False,True,,0, +BIOMD0000000247,vPDC,PYR <=> ACE + CO2,R00224,R00224,1,,chebi,31,False,True,,0, +BIOMD0000000247,vPFK,F6P + P <=> F16P,R00756,R00756,1,,chebi,31,False,True,,0, +BIOMD0000000247,vPGI,G6P <=> F6P,R00771,R00771,1,,chebi,31,False,True,,0, +BIOMD0000000247,vPGK,BPG <=> P3G + P,R01512,R01512,1,,chebi,31,False,True,,0, +BIOMD0000000247,vPGM,P3G <=> P2G,R01518,R01518,1,,chebi,31,False,True,,0, +BIOMD0000000247,vPPI,Ribulose5P <=> Ribose5P,R01056,R01056,1,,chebi,31,False,True,,0, +BIOMD0000000247,vPYK,PEP <=> PYR + P,R00200,R00200,1,,chebi,31,False,True,,0, +BIOMD0000000247,vTPI,GA3P <=> DHAP,R01015,R01015,1,,chebi,31,False,True,,0, +BIOMD0000000247,vTransald,Seduhept7P + GA3P <=> F6P + Erythrose4P,R01827,R01827,1,,chebi,31,False,True,,0, +BIOMD0000000247,vTransk1,Ribose5P + Xyl5P <=> GA3P + Seduhept7P,R01641,R01641,1,,chebi,31,False,True,,0, +BIOMD0000000247,vTransk2,Xyl5P + Erythrose4P <=> GA3P + F6P,R01830,R01830,1,,chebi,31,False,True,,0, +BIOMD0000000248,CreatineKinase,ADP + PCr <=> ATP + Cr,R01881,R01881,1,,chebi,11,False,True,,0, +BIOMD0000000253,HK,Glc + ATP => HMP,R02848,R02848,1,,chebi,7,False,True,,0, +BIOMD0000000253,PFK,HMP + ATP => Fru16P2,R00756,R00756,1,,chebi,7,False,True,,0, +BIOMD0000000253,lower,Fru16P2 + 4 ADP => 4 ATP,R00200;R00658;R01015;R01061;R01070;R01512;R01518,R00200,7,,chebi,7,False,True,,0, +BIOMD0000000268,V_ART,c_10f + aic <=> c_thf,R04560,R04560,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_BHMT,hcy + BET <=> met + dmg,R02821,R02821,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_CBS,hcy + c_ser <=> cyt,R01289,R01289,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_CTGL,cyt <=> c_cys,R00894,R00894,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_DNMT,sam <=> sah,R00649,R00649,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_GCS,c_cys + c_glu <=> glc,R00894,R00894,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_GNMT,sam + c_gly <=> sah + src,R00367,R00367,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_GPX,2 c_gsh + H2O2 <=> c_gsg,R00274,R00274,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_GR,c_gsg + NADPH <=> 2 c_gsh,R00115,R00115,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_GS,glc + c_gly <=> c_gsh,R00497,R00497,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_MATI,met <=> sam,R00650,R00650,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_MATIII,met <=> sam,R00650,R00650,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_MTHFR,c_2cf + NADPH <=> c_5mf,R01220,R01220,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_SAHH,sah <=> hcy,R00192,R00192,1,,chebi,41,False,True,,0, +BIOMD0000000268,V_TS,DUMP + c_2cf <=> c_dhf,R02101,R02101,1,,chebi,41,False,True,,0, +BIOMD0000000268,VcMTCH,c_1cf <=> c_10f,R01655,R01655,1,,chebi,41,False,True,,0, +BIOMD0000000268,VcMTD,c_2cf <=> c_1cf + NADPH,R01220,R01220,1,,chebi,41,False,True,,0, +BIOMD0000000268,VmFTD,m_10f <=> m_thf,R00941,R00941,1,,chebi,41,False,True,,0, +BIOMD0000000268,VmFTS,m_thf + m_coo <=> m_10f,R00944,R00944,1,,chebi,41,False,True,,0, +BIOMD0000000268,VmNE,m_thf + HCHO <=> m_2cf,R09093,R09093,1,,chebi,41,False,True,,0, +BIOMD0000000268,VmSHMT,m_thf + m_ser <=> m_gly + m_2cf,R00945,R00945,1,,chebi,41,False,True,,0, +BIOMD0000000268,gluconeogenesis_ser,c_ser <=>,,,0,R0006565,chebi,41,True,False,invalid_ground_truth_id,0, +BIOMD0000000281,r_1,GLU + ENZ => ENG,R00299,R00299,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_10,MOX + DPN => MOD,R01061,R01061,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_11,DGA + ADP => TP1 + PGA,R01512,R01512,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_12,PGA + ADP => TP1 + PYR,R00200;R00658,R00200,2,,chebi,27,False,True,,0, +BIOMD0000000281,r_13,PYR + DPH => LAC + DPN,R00703,R00703,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_14,LAC + DPN => PYR + DPH,R00703,R00703,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_2,ENG + TP1 => ADP + GLP + ENZ,R00299,R00299,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_3,GLP + ETZ => ETG,R04779,R04779,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_4,ETG + TP1 => GPP + ETZ + ADP,R04779,R04779,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_5,GPP => GAP + DHA,R01068,R01068,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_6,DHA + DPH => AGP + DPN,R00842,R00842,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_7,AGP + DPN => DHA + DPH,R00842,R00842,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_8,GAP + MOD => MOB + DPH,R01061,R01061,1,,chebi,27,False,True,,0, +BIOMD0000000281,r_9,MOB + PID => DGA + MOX,R01061,R01061,1,,chebi,27,False,True,,0, +BIOMD0000000292,v1,X + ATP => Y + ADP,R01523,R01523,1,,chebi,15,False,True,,0, +BIOMD0000000292,v2,Y + NADPH + ATP => X + ADP + NADP,R01063;R01512,R01063,2,,chebi,15,False,True,,0, +BIOMD0000000450,V_ART,c_10f + aic <=> c_thf,R04560,R04560,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_BHMT,hcy + BET <=> met + dmg,R02821,R02821,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_CBS,hcy + c_ser <=> cyt,R01289,R01289,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_CTGL,cyt <=> c_cys,R00894,R00894,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_DNMT,sam <=> sah,R00649,R00649,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_GCS,c_cys + c_glu <=> glc,R00894,R00894,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_GNMT,sam + c_gly <=> sah + src,R00367,R00367,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_GPX,2 c_gsh + H2O2 <=> c_gsg,R00274,R00274,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_GR,c_gsg + NADPH <=> 2 c_gsh,R00115,R00115,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_GS,glc + c_gly <=> c_gsh,R00497,R00497,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_MATI,met <=> sam,R00650,R00650,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_MATIII,met <=> sam,R00650,R00650,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_MTHFR,c_2cf + NADPH <=> c_5mf,R01220,R01220,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_SAHH,sah <=> hcy,R00192,R00192,1,,chebi,50,False,True,,0, +BIOMD0000000450,V_TS,DUMP + c_2cf <=> c_dhf,R02101,R02101,1,,chebi,50,False,True,,0, +BIOMD0000000450,VcMTCH,c_1cf <=> c_10f,R01655,R01655,1,,chebi,50,False,True,,0, +BIOMD0000000450,VcMTD,c_2cf <=> c_1cf + NADPH,R01220,R01220,1,,chebi,50,False,True,,0, +BIOMD0000000450,VmFTD,m_10f <=> m_thf,R00941,R00941,1,,chebi,50,False,True,,0, +BIOMD0000000450,VmFTS,m_thf + m_coo <=> m_10f,R00944,R00944,1,,chebi,50,False,True,,0, +BIOMD0000000450,VmNE,m_thf + HCHO <=> m_2cf,R09093,R09093,1,,chebi,50,False,True,,0, +BIOMD0000000450,VmSHMT,m_thf + m_ser <=> m_gly + m_2cf,R00945,R00945,1,,chebi,50,False,True,,0, +BIOMD0000000450,gluconeogenesis_ser,c_ser <=>,,,0,R0006565,chebi,50,True,False,invalid_ground_truth_id,0, +BIOMD0000000471,r_0005,s_1543 <=> s_0002 + s_1538,R03118,R03118,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0007,s_0077 <=> s_0312,R04640,R04640,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0008,s_0082 + s_0380 <=> s_0529 + s_1331,R02241,R02241,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0015,s_0141 + s_1212 <=> s_0142 + s_1207,R09376,R09376,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0016,s_0178 + s_1399 <=> s_0039 + s_0456,R08648,R08648,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0018,s_0176 + s_0991 <=> s_0180 + s_0953,R01939,R01939,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0020,s_0551 + s_1360 <=> s_0349 + s_1322,R01826,R01826,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0023,s_0162 <=> s_0165,R03968,R03968,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0024,s_0232 + s_0373 <=> s_0162 + s_0529,R01213,R01213,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0027,s_0835 <=> s_0454,R03444,R03444,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0029,s_0010 <=> s_0291 + s_0456,R01652,R01652,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0032,s_0390 <=> s_0423 + s_1322,R00188,R00188,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0038,s_0577 <=> s_0158 + s_0722,R07281,R07281,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0039,s_0210 <=> s_0211,R03084,R03084,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0040,s_0349 <=> s_0210 + s_1322,R03083,R03083,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0041,s_0231 + s_1212 <=> s_1207 + s_1445,R02978,R02978,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0060,s_0165 <=> s_0009,R04001,R04001,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0061,s_0009 + s_1198 <=> s_0010 + s_1203,R04426,R04426,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0065,s_0261 + s_1360 <=> s_0324 + s_1322,R03460,R03460,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0079,s_0301 + s_0434 + s_0999 <=> s_0302 + s_0394 + s_0991 + s_1322,R04463,R04463,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0080,s_0306 + s_1212 <=> s_0322 + s_1207,R01224,R01224,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0097,2 s_1399 <=> s_0146 + s_0456,R00006,R00006,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0108,s_0373 + s_0434 + s_0445 <=> s_0394 + s_1101 + s_1322,R00742,R00742,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0115,s_0434 + s_1192 <=> s_0394 + s_1191,R02649,R02649,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0118,s_0145 + s_0991 <=> s_0180 + s_1182,R02283,R02283,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0142,s_0386 + s_0434 <=> s_0394 + s_0423,R00185,R00185,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0144,s_1413 <=> s_0386 + s_1012,R00192,R00192,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0148,s_0423 + s_0434 <=> 2 s_0394,R00127,R00127,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0151,s_0299 <=> s_0403 + s_0725,R04559,R04559,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0152,s_0393 <=> s_0423 + s_0725,R01083,R01083,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0153,s_0785 + s_0849 + s_0973 <=> s_0393 + s_0739 + s_1322,R01135,R01135,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0154,s_0298 + s_0434 <=> s_0201 + s_0394,R00509,R00509,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0157,s_0434 + s_0955 + s_1582 <=> s_0404 + s_0423 + s_0633,R03038,R03038,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0195,s_0568 + s_1543 <=> s_0409 + s_1538,R00836,R00836,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0202,s_0427 + s_1386 <=> s_0633 + s_1187,R01073,R01073,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0203,s_0515 + s_0999 <=> s_0427 + s_0991 + s_1399,R00986,R00986,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0207,s_0015 <=> s_0725 + s_0965,R01086,R01086,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0208,s_0434 + s_0973 + s_0979 <=> s_0015 + s_0423 + s_0633,R01954,R01954,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0209,s_0434 + s_0965 + s_1583 <=> s_0423 + s_0428 + s_0633,R03646,R03646,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0211,s_0434 + s_0973 + s_0999 <=> s_0423 + s_0633 + s_0969 + s_0991,R00578,R00578,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0212,s_0434 + s_0969 + s_1585 <=> s_0423 + s_0430 + s_0633,R03648,R03648,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0214,s_0455 + s_0973 <=> s_1194 + s_1322,R01397,R01397,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0215,s_0434 + s_0973 <=> s_0295 + s_0394,R00480,R00480,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0216,s_0991 + s_1271 <=> s_0180 + s_0973,R00355,R00355,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0219,s_0295 + s_1212 <=> s_0978 + s_1207 + s_1322,R02291,R02291,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0220,s_0434 + s_0973 + s_1587 <=> s_0423 + s_0432 + s_0633,R05577,R05577,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0225,s_0434 + s_1386 <=> s_0326 + s_0633,R01071,R01071,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0231,s_0262 + s_1212 <=> s_0122 + s_1207,R05639,R05639,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0236,s_0209 + s_1212 <=> s_0296 + s_1207,R07495,R07495,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0241,s_0122 + 3 s_1212 + 3 s_1275 <=> s_0297 + 3 s_1207,R07509,R07509,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0243,s_0700 <=> s_0657,R07497,R07497,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0244,s_0662 + s_1212 <=> s_0666 + s_1207,R05641,R05641,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0250,2 s_0434 + s_0445 + s_0999 <=> 2 s_0394 + s_0455 + s_0991 + s_1322,R00575,R00575,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0257,s_0539 + s_1331 <=> s_0471 + s_0633,R01799,R01799,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0278,s_0515 <=> s_1377,R01715,R01715,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0279,s_0324 <=> s_0515 + s_1322,R01714,R01714,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0280,s_0516 <=> s_0940,R01900,R01900,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0302,s_0522 <=> s_0516,R01325,R01325,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0309,s_1012 + s_1039 <=> s_0980,R01290,R01290,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0311,s_0981 + s_1233 <=> s_0362 + s_0980,R03217,R03217,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0313,s_0434 + s_0981 + s_1589 <=> s_0423 + s_0542 + s_0633,R03650,R03650,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0317,s_1059 + 3 s_1212 + 3 s_1275 <=> s_0262 + s_0722 + 3 s_1207,R05640,R05640,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0330,s_0394 + s_0613 <=> s_0434 + s_0615,R02090,R02090,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0344,s_0625 + s_1212 <=> s_1207 + s_1487,R00939,R00939,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0349,s_1194 <=> s_0061,R01993,R01993,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0352,s_0016 <=> s_0232,R04441,R04441,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0353,s_0008 <=> s_0056,R05070,R05070,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0355,s_0943 + s_1376 <=> s_0633 + s_0745,R01658,R01658,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0361,s_0645 + s_0743 <=> s_0644 + s_0739,R01009,R01009,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0364,s_0656 <=> s_0633 + s_0654,R02100,R02100,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0366,s_0188 <=> s_1360,R00658,R00658,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0438,4 s_0710 + s_1275 <=> 4 s_0709,R00081,R00081,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0446,s_0120 + s_0394 + s_1322 <=> s_0434 + s_0722 + s_1487,R00943,R00943,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0451,s_0725 <=> s_0066,R01082,R01082,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0462,s_0745 + s_0943 <=> s_0190 + s_0633,R02003,R02003,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0467,s_0568 <=> s_0557,R00771,R00771,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0478,s_0434 + s_0999 + s_1590 <=> s_0423 + s_0633 + s_0747,R03652,R03652,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0479,s_0434 + s_0991 + s_1591 <=> s_0423 + s_0633 + s_0748,R05578,R05578,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0481,s_0754 + s_1212 <=> 2 s_0750 + s_1207,R00115,R00115,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0483,2 s_0750 + s_0837 <=> s_0754,R00274,R00274,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0491,s_0629 + s_1203 <=> s_0767 + s_1198,R00842,R00842,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0495,s_0380 + s_0767 <=> s_0082 + s_0529,R00851,R00851,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0499,s_0120 + s_0325 <=> s_0301 + s_1487,R04325,R04325,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0502,s_1039 + s_1487 <=> s_0306 + s_1003,R00945,R00945,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0512,s_0434 + s_1003 + s_1593 <=> s_0423 + s_0633 + s_0757,R03654,R03654,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0514,s_0434 + s_0999 + s_1565 <=> s_0423 + s_0633 + s_0782 + s_0991,R01231,R01231,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0525,s_0785 <=> s_0141 + s_0633 + s_0722,R00425,R00425,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0528,s_0434 + s_0782 <=> s_0394 + s_0739,R00332,R00332,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0534,s_0434 + s_0563 <=> s_0394 + s_0568,R00299,R00299,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0536,s_1010 + 2 s_1198 <=> s_1006 + 2 s_1203,R01158,R01158,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0537,s_1011 <=> s_1010 + s_1322,R03013,R03013,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0538,s_0207 + s_0991 <=> s_0180 + s_1011,R03243,R03243,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0539,s_0434 + s_1006 + s_1594 <=> s_0423 + s_0633 + s_0832,R03655,R03655,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0542,s_0454 <=> s_0836,R04371,R04371,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0543,s_0180 + s_0373 <=> s_0529 + s_0835,R00271,R00271,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0547,s_0978 + s_1212 <=> s_1014 + s_1207,R01775,R01775,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0548,s_0434 + s_1014 <=> s_0394 + s_1238,R01771,R01771,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0549,s_0373 + s_1014 <=> s_0529 + s_1233,R01776,R01776,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0558,s_0218 + 2 s_1212 <=> s_0028 + s_0529 + 2 s_1207,R02082,R02082,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0559,s_0367 + s_0373 <=> s_0218 + s_0529,R01978,R01978,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0563,s_0312 + s_0999 <=> s_0403 + s_0550 + s_0991,R04558,R04558,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0564,s_0550 <=> s_0207,R03457,R03457,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0565,s_0849 + s_1198 <=> s_1203 + s_1565,R01130,R01130,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0566,s_0076 <=> s_0086 + s_0456,R03508,R03508,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0570,s_1365 <=> s_0849,R01127,R01127,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0594,s_0089 + s_0499 <=> s_0619 + s_0918,R03364,R03364,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0658,s_0940 + s_1198 <=> s_0180 + s_0456 + s_1203,R00709,R00709,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0661,s_0940 + s_1207 <=> s_0180 + s_0456 + s_1212,R00267,R00267,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0663,s_0056 + s_0991 <=> s_0180 + s_1016,R02199,R02199,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0665,s_0434 + s_1016 + s_1596 <=> s_0423 + s_0633 + s_0847,R03656,R03656,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0667,s_0943 <=> s_1376,R01123,R01123,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0674,s_0991 + s_1399 <=> s_0180 + s_0955,R00258,R00258,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0698,s_0037 <=> s_1059,R03199,R03199,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0699,s_0291 + s_0991 <=> s_0180 + s_1021,R01090,R01090,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0701,s_0434 + s_1021 + s_1598 <=> s_0423 + s_0633 + s_1077,R03657,R03657,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0711,s_0434 + s_1025 + s_1600 <=> s_0423 + s_0633 + s_1099,R03658,R03658,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0713,s_0066 + s_1198 <=> s_1203 + s_1271,R00342,R00342,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0722,s_0573 + s_0785 <=> s_0633 + s_0743,R00885,R00885,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0723,s_0557 <=> s_0574,R00772,R00772,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0724,s_0304 <=> s_0120,R01655,R01655,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0726,s_0434 + s_1029 <=> s_0633 + s_1322 + s_1416,R00177,R00177,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0727,s_0322 + s_1012 <=> s_1029 + s_1487,R00946,R00946,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0729,s_0434 + s_1029 + s_1602 <=> s_0423 + s_0633 + s_1148,R03659,R03659,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0731,s_0306 + s_1198 <=> s_0304 + s_1203,R01218,R01218,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0732,s_0306 + s_1207 <=> s_0304 + s_1212,R01220,R01220,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0739,s_0018 + s_0434 <=> s_0394 + s_0456 + s_0943 + s_1322,R01121,R01121,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0757,s_0126 <=> s_1153 + s_1322,R01185,R01185,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0759,s_1191 + s_1212 <=> s_0145 + s_1207 + s_1322,R03443,R03443,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0792,s_0467 <=> s_0526 + s_1322,R00514,R00514,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0800,s_0434 + s_0739 <=> s_0394 + s_0785,R00330,R00330,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0811,s_0434 + s_1538 <=> s_0394 + s_1559,R00156,R00156,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0813,s_0841 + s_1233 <=> s_0362 + s_1012,R01287,R01287,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0820,s_1269 + s_1386 <=> s_0633 + s_1270,R01870,R01870,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0821,s_1270 <=> s_0456 + s_1545,R00965,R00965,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0851,s_0951 + s_0991 <=> s_0180 + s_1032,R00694,R00694,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0852,s_0434 + s_1032 + s_1604 <=> s_0423 + s_0633 + s_1314,R03660,R03660,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0855,s_0302 + s_0434 <=> s_0300 + s_0394 + s_1322,R04208,R04208,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0858,s_1351 + s_1416 <=> s_1343 + s_1413,R02056,R02056,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0874,s_0471 + s_1153 <=> s_0089 + s_0526,R01802,R01802,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0877,s_1337 <=> s_0456 + s_1351,R02055,R02055,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0880,s_0471 + s_1039 <=> s_0526 + s_1337,R01800,R01800,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0886,s_0434 + s_0557 <=> s_0394 + s_0555,R00756,R00756,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0888,s_0568 <=> s_0567,R08639,R08639,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0891,s_0260 + s_1198 <=> s_0258 + s_1203,R01513,R01513,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0892,s_0075 + s_0394 <=> s_0260 + s_0434,R01512,R01512,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0893,s_0260 <=> s_0188,R01518,R01518,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0900,s_1342 + s_1416 <=> s_1346 + s_1413,R01320,R01320,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0901,s_1343 + s_1416 <=> s_1342 + s_1413,R03424,R03424,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0902,s_0574 <=> s_0573,R01818,R01818,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0904,s_0019 + s_0434 <=> s_0018 + s_0394,R03245,R03245,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0908,s_0434 + s_0973 + s_1364 <=> s_0299 + s_0394 + s_1322,R04591,R04591,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0909,s_0078 <=> s_0077,R04037,R04037,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0910,s_0326 <=> s_0078 + s_0633,R04035,R04035,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0911,s_0300 + s_0456 + s_0434 <=> s_1364 + s_0394 + s_1322,R04209,R04209,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0912,s_0120 + s_0403 <=> s_1365 + s_1487,R04560,R04560,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0913,s_1187 <=> s_0076,R03509,R03509,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0914,s_0327 + s_0434 + s_1003 <=> s_0325 + s_0394 + s_1322,R04144,R04144,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0915,s_0999 + s_1386 <=> s_0327 + s_0633 + s_0991,R01072,R01072,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0917,s_0259 <=> s_1039 + s_1322,R00582,R00582,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0918,s_0258 + s_0991 <=> s_0180 + s_0259,R04173,R04173,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0922,s_1212 + s_1275 + s_1445 <=> s_1207 + s_1366,R06525,R06525,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0938,s_1377 <=> s_0456 + s_0951,R01373,R01373,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0939,s_1207 + s_1377 <=> s_0204 + s_0456 + s_1212,R01730,R01730,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0941,s_0434 + s_1035 + s_1606 <=> s_0423 + s_0633 + s_1379,R03661,R03661,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0958,s_0434 + s_0445 + s_1399 <=> s_0394 + s_1271 + s_1322,R00344,R00344,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0961,s_0529 + s_1198 + s_1399 <=> s_0373 + s_0456 + s_1203,R00209,R00209,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0962,s_0394 + s_1360 <=> s_0434 + s_1399,R00200,R00200,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0967,s_0158 + s_0314 <=> s_0328 + s_1322,R04457,R04457,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0968,2 s_0328 <=> s_0314 + s_1405,R00066,R00066,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0970,s_0434 + s_1616 <=> s_0586 + s_1620,R02014,R02014,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0973,s_1559 + s_1616 <=> s_0656 + s_1620,R02023,R02023,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0974,s_0394 + s_1616 <=> s_0582 + s_1620,R02017,R02017,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0976,s_0467 + s_1616 <=> s_0587 + s_1620,R02024,R02024,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0978,s_0739 + s_1616 <=> s_0613 + s_1620,R02019,R02019,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0984,s_0581 <=> s_0577,R01529,R01529,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0986,s_1416 + s_1569 <=> s_0700 + s_1413,R04427,R04427,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0988,s_1038 + s_1198 <=> s_0180 + s_1025 + s_1203,R00715,R00715,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0989,s_0959 + s_0991 + s_1212 <=> s_1038 + s_1207,R02315,R02315,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0993,s_1039 + s_1302 <=> s_0231 + s_0456 + s_0529,R01281,R01281,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0995,s_0434 + s_1039 + s_1607 <=> s_0423 + s_0633 + s_1428,R03662,R03662,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0996,s_0211 + s_1212 <=> s_1207 + s_1429,R02413,R02413,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_0997,s_0434 + s_1429 <=> s_0261 + s_0394,R02412,R02412,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1011,s_1212 + s_1275 + s_1447 <=> s_0037 + s_1207,R02874,R02874,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1012,2 s_0190 + s_1212 <=> 2 s_0633 + s_1207 + s_1447,R06223,R06223,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1026,s_0394 + s_1467 <=> s_0298 + s_1322,R00530,R00530,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1038,s_1212 + s_1620 <=> s_1207 + s_1616,R02016,R02016,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1041,s_1238 <=> s_1045 + s_1322,R01466,R01466,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1042,s_0434 + s_1045 + s_1608 <=> s_0423 + s_0633 + s_1491,R03663,R03663,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1045,s_0306 + s_0654 <=> s_0625 + s_0649,R02101,R02101,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1051,s_0409 <=> s_1322 + s_1520,R02778,R02778,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1057,s_0434 + s_1048 + s_1610 <=> s_0423 + s_0633 + s_1527,R03664,R03664,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1063,s_0204 + s_0991 <=> s_0180 + s_1051,R00734,R00734,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1066,s_0434 + s_1051 + s_1612 <=> s_0423 + s_0633 + s_1533,R02918,R02918,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1072,s_0434 + s_1545 <=> s_0394 + s_1538,R00158,R00158,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1084,s_0567 + s_1559 <=> s_0633 + s_1543,R00289,R00289,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1087,s_0232 + s_0991 <=> s_0180 + s_1056,R01214,R01214,1,,chebi,310,False,True,,0, +BIOMD0000000471,r_1089,s_0434 + s_1056 + s_1614 <=> s_0423 + s_0633 + s_1561,R03665,R03665,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0005,s_1543 <=> s_0002 + s_1538,R03118,R03118,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0007,s_0077 <=> s_0312,R04640,R04640,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0008,s_0082 + s_0380 <=> s_0529 + s_1331,R02241,R02241,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0015,s_0141 + s_1212 <=> s_0142 + s_1207,R09376,R09376,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0016,s_0178 + s_1399 <=> s_0039 + s_0456,R08648,R08648,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0018,s_0176 + s_0991 <=> s_0180 + s_0953,R01939,R01939,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0020,s_0551 + s_1360 <=> s_0349 + s_1322,R01826,R01826,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0023,s_0162 <=> s_0165,R03968,R03968,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0024,s_0232 + s_0373 <=> s_0162 + s_0529,R01213,R01213,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0027,s_0835 <=> s_0454,R03444,R03444,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0029,s_0010 <=> s_0291 + s_0456,R01652,R01652,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0032,s_0390 <=> s_0423 + s_1322,R00188,R00188,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0038,s_0577 <=> s_0158 + s_0722,R07281,R07281,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0039,s_0210 <=> s_0211,R03084,R03084,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0040,s_0349 <=> s_0210 + s_1322,R03083,R03083,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0041,s_0231 + s_1212 <=> s_1207 + s_1445,R02978,R02978,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0060,s_0165 <=> s_0009,R04001,R04001,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0061,s_0009 + s_1198 <=> s_0010 + s_1203,R04426,R04426,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0065,s_0261 + s_1360 <=> s_0324 + s_1322,R03460,R03460,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0079,s_0301 + s_0434 + s_0999 <=> s_0302 + s_0394 + s_0991 + s_1322,R04463,R04463,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0080,s_0306 + s_1212 <=> s_0322 + s_1207,R01224,R01224,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0097,2 s_1399 <=> s_0146 + s_0456,R00006,R00006,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0108,s_0373 + s_0434 + s_0445 <=> s_0394 + s_1101 + s_1322,R00742,R00742,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0115,s_0434 + s_1192 <=> s_0394 + s_1191,R02649,R02649,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0118,s_0145 + s_0991 <=> s_0180 + s_1182,R02283,R02283,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0142,s_0386 + s_0434 <=> s_0394 + s_0423,R00185,R00185,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0144,s_1413 <=> s_0386 + s_1012,R00192,R00192,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0148,s_0423 + s_0434 <=> 2 s_0394,R00127,R00127,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0151,s_0299 <=> s_0403 + s_0725,R04559,R04559,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0152,s_0393 <=> s_0423 + s_0725,R01083,R01083,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0153,s_0785 + s_0849 + s_0973 <=> s_0393 + s_0739 + s_1322,R01135,R01135,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0154,s_0298 + s_0434 <=> s_0201 + s_0394,R00509,R00509,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0157,s_0434 + s_0955 + s_1582 <=> s_0404 + s_0423 + s_0633,R03038,R03038,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0195,s_0568 + s_1543 <=> s_0409 + s_1538,R00836,R00836,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0202,s_0427 + s_1386 <=> s_0633 + s_1187,R01073,R01073,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0203,s_0515 + s_0999 <=> s_0427 + s_0991 + s_1399,R00986,R00986,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0207,s_0015 <=> s_0725 + s_0965,R01086,R01086,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0208,s_0434 + s_0973 + s_0979 <=> s_0015 + s_0423 + s_0633,R01954,R01954,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0209,s_0434 + s_0965 + s_1583 <=> s_0423 + s_0428 + s_0633,R03646,R03646,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0211,s_0434 + s_0973 + s_0999 <=> s_0423 + s_0633 + s_0969 + s_0991,R00578,R00578,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0212,s_0434 + s_0969 + s_1585 <=> s_0423 + s_0430 + s_0633,R03648,R03648,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0214,s_0455 + s_0973 <=> s_1194 + s_1322,R01397,R01397,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0215,s_0434 + s_0973 <=> s_0295 + s_0394,R00480,R00480,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0216,s_0991 + s_1271 <=> s_0180 + s_0973,R00355,R00355,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0219,s_0295 + s_1212 <=> s_0978 + s_1207 + s_1322,R02291,R02291,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0220,s_0434 + s_0973 + s_1587 <=> s_0423 + s_0432 + s_0633,R05577,R05577,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0225,s_0434 + s_1386 <=> s_0326 + s_0633,R01071,R01071,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0231,s_0262 + s_1212 <=> s_0122 + s_1207,R05639,R05639,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0236,s_0209 + s_1212 <=> s_0296 + s_1207,R07495,R07495,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0241,s_0122 + 3 s_1212 + 3 s_1275 <=> s_0297 + 3 s_1207,R07509,R07509,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0243,s_0700 <=> s_0657,R07497,R07497,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0244,s_0662 + s_1212 <=> s_0666 + s_1207,R05641,R05641,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0250,2 s_0434 + s_0445 + s_0999 <=> 2 s_0394 + s_0455 + s_0991 + s_1322,R00575,R00575,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0257,s_0539 + s_1331 <=> s_0471 + s_0633,R01799,R01799,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0278,s_0515 <=> s_1377,R01715,R01715,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0279,s_0324 <=> s_0515 + s_1322,R01714,R01714,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0280,s_0516 <=> s_0940,R01900,R01900,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0302,s_0522 <=> s_0516,R01325,R01325,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0309,s_1012 + s_1039 <=> s_0980,R01290,R01290,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0311,s_0981 + s_1233 <=> s_0362 + s_0980,R03217,R03217,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0313,s_0434 + s_0981 + s_1589 <=> s_0423 + s_0542 + s_0633,R03650,R03650,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0317,s_1059 + 3 s_1212 + 3 s_1275 <=> s_0262 + s_0722 + 3 s_1207,R05640,R05640,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0330,s_0394 + s_0613 <=> s_0434 + s_0615,R02090,R02090,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0344,s_0625 + s_1212 <=> s_1207 + s_1487,R00939,R00939,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0349,s_1194 <=> s_0061,R01993,R01993,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0352,s_0016 <=> s_0232,R04441,R04441,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0353,s_0008 <=> s_0056,R05070,R05070,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0355,s_0943 + s_1376 <=> s_0633 + s_0745,R01658,R01658,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0361,s_0645 + s_0743 <=> s_0644 + s_0739,R01009,R01009,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0364,s_0656 <=> s_0633 + s_0654,R02100,R02100,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0366,s_0188 <=> s_1360,R00658,R00658,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0438,4 s_0710 + s_1275 <=> 4 s_0709,R00081,R00081,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0446,s_0120 + s_0394 + s_1322 <=> s_0434 + s_0722 + s_1487,R00943,R00943,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0451,s_0725 <=> s_0066,R01082,R01082,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0462,s_0745 + s_0943 <=> s_0190 + s_0633,R02003,R02003,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0467,s_0568 <=> s_0557,R00771,R00771,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0478,s_0434 + s_0999 + s_1590 <=> s_0423 + s_0633 + s_0747,R03652,R03652,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0479,s_0434 + s_0991 + s_1591 <=> s_0423 + s_0633 + s_0748,R05578,R05578,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0481,s_0754 + s_1212 <=> 2 s_0750 + s_1207,R00115,R00115,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0483,2 s_0750 + s_0837 <=> s_0754,R00274,R00274,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0491,s_0629 + s_1203 <=> s_0767 + s_1198,R00842,R00842,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0495,s_0380 + s_0767 <=> s_0082 + s_0529,R00851,R00851,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0499,s_0120 + s_0325 <=> s_0301 + s_1487,R04325,R04325,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0502,s_1039 + s_1487 <=> s_0306 + s_1003,R00945,R00945,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0512,s_0434 + s_1003 + s_1593 <=> s_0423 + s_0633 + s_0757,R03654,R03654,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0514,s_0434 + s_0999 + s_1565 <=> s_0423 + s_0633 + s_0782 + s_0991,R01231,R01231,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0525,s_0785 <=> s_0141 + s_0633 + s_0722,R00425,R00425,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0528,s_0434 + s_0782 <=> s_0394 + s_0739,R00332,R00332,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0534,s_0434 + s_0563 <=> s_0394 + s_0568,R00299,R00299,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0536,s_1010 + 2 s_1198 <=> s_1006 + 2 s_1203,R01158,R01158,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0537,s_1011 <=> s_1010 + s_1322,R03013,R03013,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0538,s_0207 + s_0991 <=> s_0180 + s_1011,R03243,R03243,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0539,s_0434 + s_1006 + s_1594 <=> s_0423 + s_0633 + s_0832,R03655,R03655,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0542,s_0454 <=> s_0836,R04371,R04371,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0543,s_0180 + s_0373 <=> s_0529 + s_0835,R00271,R00271,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0547,s_0978 + s_1212 <=> s_1014 + s_1207,R01775,R01775,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0548,s_0434 + s_1014 <=> s_0394 + s_1238,R01771,R01771,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0549,s_0373 + s_1014 <=> s_0529 + s_1233,R01776,R01776,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0558,s_0218 + 2 s_1212 <=> s_0028 + s_0529 + 2 s_1207,R02082,R02082,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0559,s_0367 + s_0373 <=> s_0218 + s_0529,R01978,R01978,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0563,s_0312 + s_0999 <=> s_0403 + s_0550 + s_0991,R04558,R04558,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0564,s_0550 <=> s_0207,R03457,R03457,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0565,s_0849 + s_1198 <=> s_1203 + s_1565,R01130,R01130,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0566,s_0076 <=> s_0086 + s_0456,R03508,R03508,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0570,s_1365 <=> s_0849,R01127,R01127,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0594,s_0089 + s_0499 <=> s_0619 + s_0918,R03364,R03364,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0658,s_0940 + s_1198 <=> s_0180 + s_0456 + s_1203,R00709,R00709,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0661,s_0940 + s_1207 <=> s_0180 + s_0456 + s_1212,R00267,R00267,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0663,s_0056 + s_0991 <=> s_0180 + s_1016,R02199,R02199,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0665,s_0434 + s_1016 + s_1596 <=> s_0423 + s_0633 + s_0847,R03656,R03656,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0667,s_0943 <=> s_1376,R01123,R01123,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0674,s_0991 + s_1399 <=> s_0180 + s_0955,R00258,R00258,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0698,s_0037 <=> s_1059,R03199,R03199,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0699,s_0291 + s_0991 <=> s_0180 + s_1021,R01090,R01090,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0701,s_0434 + s_1021 + s_1598 <=> s_0423 + s_0633 + s_1077,R03657,R03657,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0711,s_0434 + s_1025 + s_1600 <=> s_0423 + s_0633 + s_1099,R03658,R03658,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0713,s_0066 + s_1198 <=> s_1203 + s_1271,R00342,R00342,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0722,s_0573 + s_0785 <=> s_0633 + s_0743,R00885,R00885,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0723,s_0557 <=> s_0574,R00772,R00772,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0724,s_0304 <=> s_0120,R01655,R01655,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0726,s_0434 + s_1029 <=> s_0633 + s_1322 + s_1416,R00177,R00177,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0727,s_0322 + s_1012 <=> s_1029 + s_1487,R00946,R00946,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0729,s_0434 + s_1029 + s_1602 <=> s_0423 + s_0633 + s_1148,R03659,R03659,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0731,s_0306 + s_1198 <=> s_0304 + s_1203,R01218,R01218,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0732,s_0306 + s_1207 <=> s_0304 + s_1212,R01220,R01220,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0739,s_0018 + s_0434 <=> s_0394 + s_0456 + s_0943 + s_1322,R01121,R01121,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0757,s_0126 <=> s_1153 + s_1322,R01185,R01185,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0759,s_1191 + s_1212 <=> s_0145 + s_1207 + s_1322,R03443,R03443,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0792,s_0467 <=> s_0526 + s_1322,R00514,R00514,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0800,s_0434 + s_0739 <=> s_0394 + s_0785,R00330,R00330,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0811,s_0434 + s_1538 <=> s_0394 + s_1559,R00156,R00156,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0813,s_0841 + s_1233 <=> s_0362 + s_1012,R01287,R01287,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0820,s_1269 + s_1386 <=> s_0633 + s_1270,R01870,R01870,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0821,s_1270 <=> s_0456 + s_1545,R00965,R00965,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0851,s_0951 + s_0991 <=> s_0180 + s_1032,R00694,R00694,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0852,s_0434 + s_1032 + s_1604 <=> s_0423 + s_0633 + s_1314,R03660,R03660,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0855,s_0302 + s_0434 <=> s_0300 + s_0394 + s_1322,R04208,R04208,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0858,s_1351 + s_1416 <=> s_1343 + s_1413,R02056,R02056,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0874,s_0471 + s_1153 <=> s_0089 + s_0526,R01802,R01802,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0877,s_1337 <=> s_0456 + s_1351,R02055,R02055,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0880,s_0471 + s_1039 <=> s_0526 + s_1337,R01800,R01800,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0886,s_0434 + s_0557 <=> s_0394 + s_0555,R00756,R00756,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0888,s_0568 <=> s_0567,R08639,R08639,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0891,s_0260 + s_1198 <=> s_0258 + s_1203,R01513,R01513,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0892,s_0075 + s_0394 <=> s_0260 + s_0434,R01512,R01512,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0893,s_0260 <=> s_0188,R01518,R01518,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0900,s_1342 + s_1416 <=> s_1346 + s_1413,R01320,R01320,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0901,s_1343 + s_1416 <=> s_1342 + s_1413,R03424,R03424,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0902,s_0574 <=> s_0573,R01818,R01818,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0904,s_0019 + s_0434 <=> s_0018 + s_0394,R03245,R03245,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0908,s_0434 + s_0973 + s_1364 <=> s_0299 + s_0394 + s_1322,R04591,R04591,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0909,s_0078 <=> s_0077,R04037,R04037,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0910,s_0326 <=> s_0078 + s_0633,R04035,R04035,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0911,s_0300 + s_0456 + s_0434 <=> s_1364 + s_0394 + s_1322,R04209,R04209,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0912,s_0120 + s_0403 <=> s_1365 + s_1487,R04560,R04560,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0913,s_1187 <=> s_0076,R03509,R03509,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0914,s_0327 + s_0434 + s_1003 <=> s_0325 + s_0394 + s_1322,R04144,R04144,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0915,s_0999 + s_1386 <=> s_0327 + s_0633 + s_0991,R01072,R01072,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0917,s_0259 <=> s_1039 + s_1322,R00582,R00582,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0918,s_0258 + s_0991 <=> s_0180 + s_0259,R04173,R04173,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0922,s_1212 + s_1275 + s_1445 <=> s_1207 + s_1366,R06525,R06525,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0938,s_1377 <=> s_0456 + s_0951,R01373,R01373,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0939,s_1207 + s_1377 <=> s_0204 + s_0456 + s_1212,R01730,R01730,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0941,s_0434 + s_1035 + s_1606 <=> s_0423 + s_0633 + s_1379,R03661,R03661,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0958,s_0434 + s_0445 + s_1399 <=> s_0394 + s_1271 + s_1322,R00344,R00344,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0961,s_0529 + s_1198 + s_1399 <=> s_0373 + s_0456 + s_1203,R00209,R00209,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0962,s_0394 + s_1360 <=> s_0434 + s_1399,R00200,R00200,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0967,s_0158 + s_0314 <=> s_0328 + s_1322,R04457,R04457,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0968,2 s_0328 <=> s_0314 + s_1405,R00066,R00066,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0970,s_0434 + s_1616 <=> s_0586 + s_1620,R02014,R02014,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0973,s_1559 + s_1616 <=> s_0656 + s_1620,R02023,R02023,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0974,s_0394 + s_1616 <=> s_0582 + s_1620,R02017,R02017,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0976,s_0467 + s_1616 <=> s_0587 + s_1620,R02024,R02024,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0978,s_0739 + s_1616 <=> s_0613 + s_1620,R02019,R02019,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0984,s_0581 <=> s_0577,R01529,R01529,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0986,s_1416 + s_1569 <=> s_0700 + s_1413,R04427,R04427,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0988,s_1038 + s_1198 <=> s_0180 + s_1025 + s_1203,R00715,R00715,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0989,s_0959 + s_0991 + s_1212 <=> s_1038 + s_1207,R02315,R02315,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0993,s_1039 + s_1302 <=> s_0231 + s_0456 + s_0529,R01281,R01281,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0995,s_0434 + s_1039 + s_1607 <=> s_0423 + s_0633 + s_1428,R03662,R03662,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0996,s_0211 + s_1212 <=> s_1207 + s_1429,R02413,R02413,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_0997,s_0434 + s_1429 <=> s_0261 + s_0394,R02412,R02412,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1011,s_1212 + s_1275 + s_1447 <=> s_0037 + s_1207,R02874,R02874,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1012,2 s_0190 + s_1212 <=> 2 s_0633 + s_1207 + s_1447,R06223,R06223,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1026,s_0394 + s_1467 <=> s_0298 + s_1322,R00530,R00530,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1038,s_1212 + s_1620 <=> s_1207 + s_1616,R02016,R02016,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1041,s_1238 <=> s_1045 + s_1322,R01466,R01466,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1042,s_0434 + s_1045 + s_1608 <=> s_0423 + s_0633 + s_1491,R03663,R03663,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1045,s_0306 + s_0654 <=> s_0625 + s_0649,R02101,R02101,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1051,s_0409 <=> s_1322 + s_1520,R02778,R02778,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1057,s_0434 + s_1048 + s_1610 <=> s_0423 + s_0633 + s_1527,R03664,R03664,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1063,s_0204 + s_0991 <=> s_0180 + s_1051,R00734,R00734,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1066,s_0434 + s_1051 + s_1612 <=> s_0423 + s_0633 + s_1533,R02918,R02918,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1072,s_0434 + s_1545 <=> s_0394 + s_1538,R00158,R00158,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1084,s_0567 + s_1559 <=> s_0633 + s_1543,R00289,R00289,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1087,s_0232 + s_0991 <=> s_0180 + s_1056,R01214,R01214,1,,chebi,310,False,True,,0, +BIOMD0000000472,r_1089,s_0434 + s_1056 + s_1614 <=> s_0423 + s_0633 + s_1561,R03665,R03665,1,,chebi,310,False,True,,0, +BIOMD0000000473,ADH,AcAld + NADH <=> EtOH + NAD,R00754,R00754,1,,chebi,320,False,True,,0, +BIOMD0000000473,AK,2 ADP <=> AMP + ATP,R00127,R00127,1,,chebi,320,False,True,,0, +BIOMD0000000473,ENO,P2G <=> PEP,R00658,R00658,1,,chebi,320,False,True,,0, +BIOMD0000000473,GPM,P3G <=> P2G,R01518,R01518,1,,chebi,320,False,True,,0, +BIOMD0000000473,HXK,ATP + GLC <=> ADP + G6P,R00299,R00299,1,,chebi,320,False,True,,0, +BIOMD0000000473,PDC,PYR <=> AcAld + CO2,R00224,R00224,1,,chebi,320,False,True,,0, +BIOMD0000000473,PFK,ATP + F6P <=> ADP + F16bP,R00756,R00756,1,,chebi,320,False,True,,0, +BIOMD0000000473,PGI,G6P <=> F6P,R00771,R00771,1,,chebi,320,False,True,,0, +BIOMD0000000473,PGK,BPG + ADP <=> P3G + ATP,R01512,R01512,1,,chebi,320,False,True,,0, +BIOMD0000000473,PYK,ADP + PEP <=> ATP + PYR,R00200,R00200,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0001,s_0025 + 2 s_0709 <=> 2 s_0710 + PYR,R00197,R00197,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0004,s_0063 + 2 s_0709 <=> 2 s_0710 + PYR,R00196,R00196,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0005,s_1543 <=> s_0002 + s_1538,R03118,R03118,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0007,s_0077 <=> s_0312,R04640,R04640,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0008,s_0082 + s_0380 <=> s_0529 + s_1331,R02241,R02241,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0015,s_0141 + s_1212 <=> s_0142 + s_1207,R09376,R09376,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0016,s_0178 + PYR <=> s_0039 + CO2,R08648,R08648,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0018,s_0176 + s_0991 <=> s_0180 + s_0953,R01939,R01939,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0020,s_0551 + PEP <=> s_0349 + PHO,R01826,R01826,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0023,s_0162 <=> s_0165,R03968,R03968,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0024,s_0232 + s_0373 <=> s_0162 + s_0529,R01213,R01213,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0027,s_0835 <=> s_0454,R03444,R03444,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0029,s_0010 <=> s_0291 + CO2,R01652,R01652,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0032,s_0390 <=> AMP + PHO,R00188,R00188,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0038,s_0577 <=> s_0158 + s_0722,R07281,R07281,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0039,s_0210 <=> s_0211,R03084,R03084,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0040,s_0349 <=> s_0210 + PHO,R03083,R03083,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0041,s_0231 + s_1212 <=> s_1207 + s_1445,R02978,R02978,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0060,s_0165 <=> s_0009,R04001,R04001,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0061,s_0009 + NAD <=> s_0010 + NADH,R04426,R04426,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0065,s_0261 + PEP <=> s_0324 + PHO,R03460,R03460,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0079,s_0301 + ATP + s_0999 <=> s_0302 + ADP + s_0991 + PHO,R04463,R04463,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0080,s_0306 + s_1212 <=> s_0322 + s_1207,R01224,R01224,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0091,s_0335 <=> s_0340,R02035,R02035,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0097,2 PYR <=> s_0146 + CO2,R00006,R00006,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0108,s_0373 + ATP + s_0445 <=> ADP + s_1101 + PHO,R00742,R00742,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0115,ATP + s_1192 <=> ADP + s_1191,R02649,R02649,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0118,s_0145 + s_0991 <=> s_0180 + s_1182,R02283,R02283,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0142,s_0386 + ATP <=> ADP + AMP,R00185,R00185,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0144,s_1413 <=> s_0386 + s_1012,R00192,R00192,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0151,s_0299 <=> s_0403 + s_0725,R04559,R04559,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0152,s_0393 <=> AMP + s_0725,R01083,R01083,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0153,s_0785 + s_0849 + s_0973 <=> s_0393 + s_0739 + PHO,R01135,R01135,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0154,s_0298 + ATP <=> s_0201 + ADP,R00509,R00509,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0156,s_0779 + s_0955 <=> s_1003 + PYR,R00369,R00369,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0157,ATP + s_0955 + s_1582 <=> s_0404 + AMP + s_0633,R03038,R03038,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0173,AcAld + s_1207 <=> s_0362 + s_1212,R00711,R00711,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0174,AcAld + NAD <=> s_0362 + NADH,R00710,R00710,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0195,G6P + s_1543 <=> s_0409 + s_1538,R00836,R00836,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0202,s_0427 + s_1386 <=> s_0633 + s_1187,R01073,R01073,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0203,s_0515 + s_0999 <=> s_0427 + s_0991 + PYR,R00986,R00986,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0207,s_0015 <=> s_0725 + s_0965,R01086,R01086,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0208,ATP + s_0973 + s_0979 <=> s_0015 + AMP + s_0633,R01954,R01954,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0209,ATP + s_0965 + s_1583 <=> AMP + s_0428 + s_0633,R03646,R03646,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0211,ATP + s_0973 + s_0999 <=> AMP + s_0633 + s_0969 + s_0991,R00578,R00578,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0212,ATP + s_0969 + s_1585 <=> AMP + s_0430 + s_0633,R03648,R03648,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0214,s_0455 + s_0973 <=> s_1194 + PHO,R01397,R01397,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0215,ATP + s_0973 <=> s_0295 + ADP,R00480,R00480,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0216,s_0991 + s_1271 <=> s_0180 + s_0973,R00355,R00355,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0219,s_0295 + s_1212 <=> s_0978 + s_1207 + PHO,R02291,R02291,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0220,ATP + s_0973 + s_1587 <=> AMP + s_0432 + s_0633,R05577,R05577,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0225,ATP + s_1386 <=> s_0326 + s_0633,R01071,R01071,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0231,s_0262 + s_1212 <=> s_0122 + s_1207,R05639,R05639,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0236,s_0209 + s_1212 <=> s_0296 + s_1207,R07495,R07495,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0241,s_0122 + 3 s_1212 + 3 s_1275 <=> s_0297 + 3 s_1207,R07509,R07509,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0243,s_0700 <=> s_0657,R07497,R07497,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0244,s_0662 + s_1212 <=> s_0666 + s_1207,R05641,R05641,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0250,2 ATP + s_0445 + s_0999 <=> 2 ADP + s_0455 + s_0991 + PHO,R00575,R00575,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0257,s_0539 + s_1331 <=> s_0471 + s_0633,R01799,R01799,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0264,s_0816 + s_1445 <=> s_0478 + s_0529,R06517,R06517,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0278,s_0515 <=> s_1377,R01715,R01715,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0279,s_0324 <=> s_0515 + PHO,R01714,R01714,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0280,s_0516 <=> s_0940,R01900,R01900,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0302,s_0522 <=> s_0516,R01325,R01325,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0309,s_1012 + s_1039 <=> s_0980,R01290,R01290,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0311,s_0981 + s_1233 <=> s_0362 + s_0980,R03217,R03217,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0313,ATP + s_0981 + s_1589 <=> AMP + s_0542 + s_0633,R03650,R03650,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0317,s_1059 + 3 s_1212 + 3 s_1275 <=> s_0262 + s_0722 + 3 s_1207,R05640,R05640,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0330,ADP + s_0613 <=> ATP + s_0615,R02090,R02090,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0344,s_0625 + s_1212 <=> s_1207 + s_1487,R00939,R00939,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0349,s_1194 <=> s_0061,R01993,R01993,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0352,s_0016 <=> s_0232,R04441,R04441,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0353,s_0008 <=> s_0056,R05070,R05070,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0355,s_0943 + s_1376 <=> s_0633 + s_0745,R01658,R01658,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0361,s_0645 + s_0743 <=> s_0644 + s_0739,R01009,R01009,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0364,s_0656 <=> s_0633 + s_0654,R02100,R02100,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0438,4 s_0710 + s_1275 <=> 4 s_0709,R00081,R00081,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0446,ATP + s_0722 + s_1487 <=> s_0120 + ADP + PHO,R00943,R00943,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0451,s_0725 <=> s_0066,R01082,R01082,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0462,s_0745 + s_0943 <=> s_0190 + s_0633,R02003,R02003,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0466,G6P + s_1207 <=> s_0335 + s_1212,R00835,R00835,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0478,ATP + s_0999 + s_1590 <=> AMP + s_0633 + s_0747,R03652,R03652,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0479,ATP + s_0991 + s_1591 <=> AMP + s_0633 + s_0748,R05578,R05578,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0489,s_0767 <=> GLY + PHO,R00841,R00841,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0491,DHAP + NADH <=> s_0767 + NAD,R00842,R00842,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0495,s_0380 + s_0767 <=> s_0082 + s_0529,R00851,R00851,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0499,s_0120 + s_0325 <=> s_0301 + s_1487,R04325,R04325,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0502,s_0306 + s_1003 <=> s_1039 + s_1487,R00945,R00945,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0512,ATP + s_1003 + s_1593 <=> AMP + s_0633 + s_0757,R03654,R03654,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0514,ATP + s_0999 + s_1565 <=> AMP + s_0633 + s_0782 + s_0991,R01231,R01231,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0525,s_0785 <=> s_0141 + s_0633 + s_0722,R00425,R00425,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0528,ATP + s_0782 <=> ADP + s_0739,R00332,R00332,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0536,s_1010 + 2 NAD <=> s_1006 + 2 NADH,R01158,R01158,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0537,s_1011 <=> s_1010 + PHO,R03013,R03013,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0538,s_0207 + s_0991 <=> s_0180 + s_1011,R03243,R03243,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0539,ATP + s_1006 + s_1594 <=> AMP + s_0633 + s_0832,R03655,R03655,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0542,s_0454 <=> s_0836,R04371,R04371,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0543,s_0180 + s_0373 <=> s_0529 + s_0835,R00271,R00271,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0547,s_0978 + s_1212 <=> s_1014 + s_1207,R01775,R01775,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0548,ATP + s_1014 <=> ADP + s_1238,R01771,R01771,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0549,s_0373 + s_1014 <=> s_0529 + s_1233,R01776,R01776,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0553,s_0033 <=> s_0025 + s_0750,R01736,R01736,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0558,s_0218 + 2 s_1212 <=> s_0028 + s_0529 + 2 s_1207,R02082,R02082,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0559,s_0367 + s_0373 <=> s_0218 + s_0529,R01978,R01978,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0563,s_0312 + s_0999 <=> s_0403 + s_0550 + s_0991,R04558,R04558,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0564,s_0550 <=> s_0207,R03457,R03457,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0565,s_0849 + NAD <=> NADH + s_1565,R01130,R01130,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0566,s_0076 <=> s_0086 + CO2,R03508,R03508,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0570,s_1365 <=> s_0849,R01127,R01127,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0591,s_0089 + s_0478 <=> s_0619 + s_0897,R03364,R03364,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0658,s_0940 + NAD <=> s_0180 + CO2 + NADH,R00709,R00709,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0661,s_0940 + s_1207 <=> s_0180 + CO2 + s_1212,R00267,R00267,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0662,s_0940 <=> s_0779 + s_1458,R00479,R00479,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0663,s_0056 + s_0991 <=> s_0180 + s_1016,R02199,R02199,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0665,ATP + s_1016 + s_1596 <=> AMP + s_0633 + s_0847,R03656,R03656,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0667,s_0943 <=> s_1376,R01123,R01123,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0674,s_0991 + PYR <=> s_0180 + s_0955,R00258,R00258,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0688,s_1151 + s_1212 <=> s_0062 + s_1207,R02260,R02260,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0696,s_0062 + NAD <=> s_0063 + NADH,R01446,R01446,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0697,s_0750 + s_1151 <=> s_0033,R02530,R02530,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0698,s_0037 <=> s_1059,R03199,R03199,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0699,s_0291 + s_0991 <=> s_0180 + s_1021,R01090,R01090,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0701,ATP + s_1021 + s_1598 <=> AMP + s_0633 + s_1077,R03657,R03657,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0711,ATP + s_1025 + s_1600 <=> AMP + s_0633 + s_1099,R03658,R03658,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0713,s_0066 + NAD <=> NADH + s_1271,R00342,R00342,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0722,s_0573 + s_0785 <=> s_0633 + s_0743,R00885,R00885,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0723,F6P <=> s_0574,R00772,R00772,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0724,s_0304 <=> s_0120,R01655,R01655,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0726,ATP + s_1029 <=> s_0633 + PHO + s_1416,R00177,R00177,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0727,s_0322 + s_1012 <=> s_1029 + s_1487,R00946,R00946,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0729,ATP + s_1029 + s_1602 <=> AMP + s_0633 + s_1148,R03659,R03659,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0731,s_0304 + NADH <=> s_0306 + NAD,R01218,R01218,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0732,s_0306 + s_1207 <=> s_0304 + s_1212,R01220,R01220,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0735,s_0028 + ATP <=> s_0019 + ADP,R02245,R02245,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0739,s_0018 + ATP <=> ADP + CO2 + s_0943 + PHO,R01121,R01121,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0757,s_0126 <=> s_1153 + PHO,R01185,R01185,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0759,s_1191 + s_1212 <=> s_0145 + s_1207 + PHO,R03443,R03443,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0792,s_0467 <=> s_0526 + PHO,R00514,R00514,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0800,ATP + s_0739 <=> ADP + s_0785,R00330,R00330,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0811,ATP + s_1538 <=> ADP + s_1559,R00156,R00156,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0813,s_0841 + s_1233 <=> s_0362 + s_1012,R01287,R01287,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0820,s_1269 + s_1386 <=> s_0633 + s_1270,R01870,R01870,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0821,s_1270 <=> CO2 + s_1545,R00965,R00965,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0851,s_0951 + s_0991 <=> s_0180 + s_1032,R00694,R00694,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0852,ATP + s_1032 + s_1604 <=> AMP + s_0633 + s_1314,R03660,R03660,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0855,s_0302 + ATP <=> s_0300 + ADP + PHO,R04208,R04208,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0858,s_1351 + s_1416 <=> s_1343 + s_1413,R02056,R02056,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0874,s_0471 + s_1153 <=> s_0089 + s_0526,R01802,R01802,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0877,s_1337 <=> CO2 + s_1351,R02055,R02055,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0880,s_0471 + s_1039 <=> s_0526 + s_1337,R01800,R01800,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0884,ATP + s_1271 <=> ADP + CO2 + PEP,R00341,R00341,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0888,G6P <=> s_0567,R08639,R08639,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0889,s_0340 + s_1207 <=> CO2 + s_0577 + s_1212,R01528,R01528,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0900,s_1342 + s_1416 <=> s_1346 + s_1413,R01320,R01320,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0901,s_1343 + s_1416 <=> s_1342 + s_1413,R03424,R03424,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0902,s_0574 <=> s_0573,R01818,R01818,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0904,s_0019 + ATP <=> s_0018 + ADP,R03245,R03245,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0908,ATP + s_0973 + s_1364 <=> s_0299 + ADP + PHO,R04591,R04591,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0909,s_0078 <=> s_0077,R04037,R04037,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0910,s_0326 <=> s_0078 + s_0633,R04035,R04035,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0911,s_0300 + CO2 + ATP <=> s_1364 + ADP + PHO,R04209,R04209,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0912,s_0120 + s_0403 <=> s_1365 + s_1487,R04560,R04560,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0913,s_1187 <=> s_0076,R03509,R03509,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0914,s_0327 + ATP + s_1003 <=> s_0325 + ADP + PHO,R04144,R04144,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0915,s_0999 + s_1386 <=> s_0327 + s_0633 + s_0991,R01072,R01072,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0938,s_1377 <=> CO2 + s_0951,R01373,R01373,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0939,s_1207 + s_1377 <=> s_0204 + CO2 + s_1212,R01730,R01730,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0941,ATP + s_1035 + s_1606 <=> AMP + s_0633 + s_1379,R03661,R03661,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0958,ATP + s_0445 + PYR <=> ADP + s_1271 + PHO,R00344,R00344,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0967,s_0158 + s_0314 <=> s_0328 + PHO,R04457,R04457,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0968,2 s_0328 <=> s_0314 + s_1405,R00066,R00066,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0970,ATP + s_1616 <=> s_0586 + s_1620,R02014,R02014,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0973,s_1559 + s_1616 <=> s_0656 + s_1620,R02023,R02023,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0974,ADP + s_1616 <=> s_0582 + s_1620,R02017,R02017,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0976,s_0467 + s_1616 <=> s_0587 + s_1620,R02024,R02024,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0978,s_0739 + s_1616 <=> s_0613 + s_1620,R02019,R02019,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0984,s_0577 <=> s_0581,R01529,R01529,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0986,s_1416 + s_1569 <=> s_0700 + s_1413,R04427,R04427,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0988,s_1038 + NAD <=> s_0180 + s_1025 + NADH,R00715,R00715,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0989,s_0959 + s_0991 + s_1212 <=> s_1038 + s_1207,R02315,R02315,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0990,s_0551 + DHAP <=> s_1426,R01829,R01829,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0993,s_1039 + s_1302 <=> s_0231 + CO2 + s_0529,R01281,R01281,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0995,ATP + s_1039 + s_1607 <=> AMP + s_0633 + s_1428,R03662,R03662,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0996,s_0211 + s_1212 <=> s_1207 + s_1429,R02413,R02413,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_0997,ATP + s_1429 <=> s_0261 + ADP,R02412,R02412,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1012,2 s_0190 + s_1212 <=> 2 s_0633 + s_1207 + s_1447,R06223,R06223,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1026,ADP + s_1467 <=> s_0298 + PHO,R00530,R00530,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1038,s_1212 + s_1620 <=> s_1207 + s_1616,R02016,R02016,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1040,s_1045 <=> AcAld + s_1003,R00751,R00751,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1041,s_1238 <=> s_1045 + PHO,R01466,R01466,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1042,ATP + s_1045 + s_1608 <=> AMP + s_0633 + s_1491,R03663,R03663,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1045,s_0306 + s_0654 <=> s_0625 + s_0649,R02101,R02101,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1051,s_0409 <=> PHO + s_1520,R02778,R02778,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1057,ATP + s_1048 + s_1610 <=> AMP + s_0633 + s_1527,R03664,R03664,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1063,s_0204 + s_0991 <=> s_0180 + s_1051,R00734,R00734,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1066,ATP + s_1051 + s_1612 <=> AMP + s_0633 + s_1533,R02918,R02918,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1072,ATP + s_1545 <=> ADP + s_1538,R00158,R00158,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1084,s_0567 + s_1559 <=> s_0633 + s_1543,R00289,R00289,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1087,s_0232 + s_0991 <=> s_0180 + s_1056,R01214,R01214,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_1089,ATP + s_1056 + s_1614 <=> AMP + s_0633 + s_1561,R03665,R03665,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_2126,s_1426 <=> s_1427 + PHO,R01845,R01845,1,,chebi,320,False,True,,0, +BIOMD0000000473,r_2127,s_0061 + NAD <=> s_1269 + NADH,R01869,R01869,1,,chebi,320,False,True,,0, +BIOMD0000000503,ADH,AcAld + NADH <=> EtOH + NAD,R00754,R00754,1,,chebi,39,False,True,,0, +BIOMD0000000503,AK,2 ADP <=> ATP + AMP,R00127,R00127,1,,chebi,39,False,True,,0, +BIOMD0000000503,ENO,P2G <=> PEP,R00658,R00658,1,,chebi,39,False,True,,0, +BIOMD0000000503,FBA,F16bP <=> DHAP + GAP,R01068,R01068,1,,chebi,39,False,True,,0, +BIOMD0000000503,GPD,DHAP + NADH <=> G3P + NAD,R00842,R00842,1,,chebi,39,False,True,,0, +BIOMD0000000503,GPM,P3G <=> P2G,R01518,R01518,1,,chebi,39,False,True,,0, +BIOMD0000000503,GPP,G3P => GLY,R00841,R00841,1,,chebi,39,False,True,,0, +BIOMD0000000503,HXK,GLC + ATP <=> G6P + ADP,R02848,R02848,1,,chebi,39,False,True,,0, +BIOMD0000000503,PDC,PYR => AcAld,R00636,R00636,1,,chebi,39,False,True,,0, +BIOMD0000000503,PFK,ATP + F6P => ADP + F16bP,R00756,R00756,1,,chebi,39,False,True,,0, +BIOMD0000000503,PGI,G6P <=> F6P,R00771,R00771,1,,chebi,39,False,True,,0, +BIOMD0000000503,PGK,ADP + BPG <=> ATP + P3G,R01512,R01512,1,,chebi,39,False,True,,0, +BIOMD0000000503,PYK,ADP + PEP <=> ATP + PYR,R00200,R00200,1,,chebi,39,False,True,,0, +BIOMD0000000503,TDH,GAP + NAD <=> BPG + NADH,R01061,R01061,1,,chebi,39,False,True,,0, +BIOMD0000000503,TPI,DHAP <=> GAP,R01015,R01015,1,,chebi,39,False,True,,0, +BIOMD0000000590,r1,<=> cp,R00575,R00575,1,,chebi,9,True,False,exchange_ssx,0, +BIOMD0000000590,r10,ump <=> udp,R00158,R00158,1,,chebi,9,False,True,,0, +BIOMD0000000590,r2,cp <=> ca,R01397,R01397,1,,chebi,9,False,True,,0, +BIOMD0000000590,r3,ca <=> dho,R01993,R01993,1,,chebi,9,False,True,,0, +BIOMD0000000590,r4,dho <=> oro,R01866,R01866,1,,chebi,9,False,True,,0, +BIOMD0000000590,r5,oro <=> omp,R01870,R01870,1,,chebi,9,False,True,,0, +BIOMD0000000590,r6,omp <=> ump,R00965,R00965,1,,chebi,9,False,True,,0, +BIOMD0000000590,r7,udp <=> utp,R00156,R00156,1,,chebi,9,False,True,,0, +BIOMD0000000590,r8,utp <=> ctp,R00573,R00573,1,,chebi,9,False,True,,0, +BIOMD0000000602,R00677,M_trp_DASH_L_c + M_h2o_c + M_o2_c => M_indpyr_c + M_nh4_c + M_h2o2_c,R00677,R00677,1,,chebi,56,False,True,,0, +BIOMD0000000602,R00678_Indo,M_trp_DASH_L_c + M_o2_c => M_Lfmkynr_c,R00678,R00678,1,,chebi,56,False,True,,0, +BIOMD0000000602,R00678_Tdo,M_trp_DASH_L_c + M_o2_c => M_Lfmkynr_c,R00678,R00678,1,,chebi,56,False,True,,0, +BIOMD0000000602,R00685,M_trp_DASH_L_c => M_trypta_c + M_co2_c,R00685,R00685,1,,chebi,56,False,True,,0, +BIOMD0000000602,R00987,M_Lkynr_c + M_h2o_c => M_anth_c + M_ala_DASH_L_c,R00987,R00987,1,,chebi,56,False,True,,0, +BIOMD0000000602,R00988,M_nformanth_c + M_h2o_c => M_for_c + M_anth_c,R00988,R00988,1,,chebi,56,False,True,,0, +BIOMD0000000602,R01814_Tph1,M_thbpt + M_trp_DASH_L_c + M_o2_c => M_5htrp_c + M_dhbpt_c + M_h2o_c,R01814,R01814,1,,chebi,56,False,True,,0, +BIOMD0000000602,R01814_Tph2,M_thbpt + M_trp_DASH_L_c + M_o2_c => M_5htrp_c + M_dhbpt_c + M_h2o_c,R01814,R01814,1,,chebi,56,False,True,,0, +BIOMD0000000602,R01956_Kat1,M_Lkynr_c + M_akg_c => M_kynate_c + M_glu_DASH_L_c,R01956,R01956,1,,chebi,56,False,True,,0, +BIOMD0000000602,R01956_Kat2,M_hLkynr_c + M_akg_c => M_Xanthurenate + M_glu_DASH_L_c,R04171,R04171,1,,chebi,56,False,True,,0, +BIOMD0000000602,R01956_Kat3,M_hLkynr_c + M_akg_c => M_Xanthurenate + M_glu_DASH_L_c,R04171,R04171,1,,chebi,56,False,True,,0, +BIOMD0000000602,R01959,M_Lfmkynr_c + M_h2o_c => M_for_c + M_Lkynr_c,R01959,R01959,1,,chebi,56,False,True,,0, +BIOMD0000000602,R01960,M_Lkynr_c + M_o2_c + M_nadph_c + M_h_c => M_hLkynr_c + M_nadp_c + M_h2o_c,R01960,R01960,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02173_Maoa,M_trypta_c + M_h2o_c + M_o2_c => M_id3acald_c + M_nh4_c + M_h2o2_c,R02173,R02173,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02173_Maob,M_trypta_c + M_h2o_c + M_o2_c => M_id3acald_c + M_nh4_c + M_h2o2_c,R02173,R02173,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02174,M_amet_c + M_trypta_c => M_ahcys_c + M_nmtrpta_c,R02174,R02174,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02665,M_3hanthrn_c + M_o2_c => M_cmusa_c,R02665,R02665,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02668,M_hLkynr_c + M_h2o_c => M_3hanthrn_c + M_ala_DASH_L_c,R02668,R02668,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02670,2 M_3hanthrn_c + 4 M_o2_c => M_Cinnavalininate_c + 2 M_o2s_c + 2 M_h2o2_c + 2 M_h_c,R02670,R02670,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02701,M_5htrp_c => M_srtn_c + M_co2_c,R02701,R02701,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02702,M_5htrp_c + M_o2_c => M_5hoxnfkyn_c,R02702,R02702,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02908_Maoa,M_srtn_c + M_h2o_c + M_o2_c => M_5hoxindact_c + M_h2o2_c + M_nh4_c,R02908,R02908,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02908_Maob,M_srtn_c + M_h2o_c + M_o2_c => M_5hoxindact_c + M_h2o2_c + M_nh4_c,R02908,R02908,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02909,M_srtn_c + M_o2_c => M_f5hoxkyn_c,R02909,R02909,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02910,M_amet_c + M_srtn_c => M_ahcys_c + M_nmsrtn_c,R02910,R02910,1,,chebi,56,False,True,,0, +BIOMD0000000602,R02911,M_accoa_c + M_srtn_c => M_Nacsertn_c + M_coa_c + M_h_c,R02911,R02911,1,,chebi,56,False,True,,0, +BIOMD0000000602,R03005,M_atp_c + M_h_c + M_nicrnt_c => M_dnad_c + M_ppi_c,R03005,R03005,1,,chebi,56,False,True,,0, +BIOMD0000000602,R03348,M_h_c + M_prpp_c + M_quln_c => M_co2_c + M_nicrnt_c + M_ppi_c,R03348,R03348,1,,chebi,56,False,True,,0, +BIOMD0000000602,R03664,M_atp_c + M_trp_DASH_L_c + M_trna_trp_c => M_amp_c + M_ppi_c + M_trp_L_trna_c,R03664,R03664,1,,chebi,56,False,True,,0, +BIOMD0000000602,R03936,M_Lfmkynr_c + M_h2o_c => M_nformanth_c + M_ala_DASH_L_c,R03936,R03936,1,,chebi,56,False,True,,0, +BIOMD0000000602,R04171_Kat1,M_hLkynr_c + M_akg_c => M_Xanthurenate + M_glu_DASH_L_c,R04171,R04171,1,,chebi,56,False,True,,0, +BIOMD0000000602,R04171_Kat2,M_Lkynr_c + M_akg_c => M_kynate_c + M_glu_DASH_L_c,R01956,R01956,1,,chebi,56,False,True,,0, +BIOMD0000000602,R04171_Kat3,M_Lkynr_c + M_akg_c => M_kynate_c + M_glu_DASH_L_c,R01956,R01956,1,,chebi,56,False,True,,0, +BIOMD0000000602,R04323,M_cmusa_c => M_am6sa_c + M_co2_c,R04323,R04323,1,,chebi,56,False,True,,0, +BIOMD0000000602,R04911,M_5hoxnfkyn_c + M_h2o_c => M_5hxkyn_c + M_for_c,R04911,R04911,1,,chebi,56,False,True,,0, +BIOMD0000000627,AK_astrocytes,2 ADP_astrocytes <=> species_5 + AMP_astrocytes,R00127,R00127,1,,chebi,65,False,True,,0, +BIOMD0000000627,AK_neurons,2 ADP_neurons <=> species_3 + AMP_neurons,R00127,R00127,1,,chebi,65,False,True,,0, +BIOMD0000000627,CK_astrocytes_forward__R01881,ADP_astrocytes + species_22 <=> species_5 + Cr_astrocytes,R01881,R01881,1,,chebi,65,False,True,,0, +BIOMD0000000627,CK_neurons_forward__R01881,species_21 + ADP_neurons <=> species_3 + Cr_neurons,R01881,R01881,1,,chebi,65,False,True,,0, +BIOMD0000000627,GND_astrocytes__R01528,P6G_astrocytes + NADP_astrocytes => Ru5P_astrocytes + NADPH_astrocytes,R01528,R01528,1,,chebi,65,False,True,,0, +BIOMD0000000627,GND_neurons___R01528,P6G_neurons + NADP_neurons <=> Ru5P_neurons + NADPH_neurons,R01528,R01528,1,,chebi,65,False,True,,0, +BIOMD0000000627,HK_neurons__R01786___HeinrichSchuster,species_3 + species_1 => species_2 + ADP_neurons,R01786,R01786,1,,chebi,65,False,True,,0, +BIOMD0000000627,LDH_astrocytes_forward__R00703,species_17 + species_13 <=> species_19 + NAD_astrocytes,R00703,R00703,1,,chebi,65,False,True,,0, +BIOMD0000000627,LDH_neurons_forward__R00703,species_15 + species_11 <=> species_18 + NAD_neurons,R00703,R00703,1,,chebi,65,False,True,,0, +BIOMD0000000627,PGI_astrocytes__R02740___HS,species_6 <=> species_8,R02740,R02740,1,,chebi,65,False,True,,0, +BIOMD0000000627,PGI_neurons__R02740___HS,species_2 <=> species_7,R02740,R02740,1,,chebi,65,False,True,,0, +BIOMD0000000627,RKI_astrocytes__R01056,Ru5P_astrocytes <=> R5P_astrocytes,R01056,R01056,1,,chebi,65,False,True,,0, +BIOMD0000000627,RKI_neurons__R01056,Ru5P_neurons <=> R5P_neurons,R01056,R01056,1,,chebi,65,False,True,,0, +BIOMD0000000627,RPE_astrocytes__R01529,Ru5P_astrocytes <=> X5P_astrocytes,R01528,R01528,1,,chebi,65,False,True,,0, +BIOMD0000000627,RPE_neurons__R01529,Ru5P_neurons <=> X5P_neurons,R01528,R01528,1,,chebi,65,False,True,,0, +BIOMD0000000627,SOL_astrocytes__R02035,G6L_astrocytes => P6G_astrocytes,R02035,R02035,1,,chebi,65,False,True,,0, +BIOMD0000000627,SOL_neurons__R02035,G6L_neurons => P6G_neurons,R02035,R02035,1,,chebi,65,False,True,,0, +BIOMD0000000627,TAL_astrocytes__R01827,species_10 + S7P_astrocytes <=> species_8 + E4P_astrocytes,R01827,R01827,1,,chebi,65,False,True,,0, +BIOMD0000000627,TAL_neurons__R01827,species_9 + S7P_neurons <=> species_7 + E4P_neurons,R01827,R01827,1,,chebi,65,False,True,,0, +BIOMD0000000627,TKL_1_astrocytes__R01641,X5P_astrocytes + R5P_astrocytes => species_10 + S7P_astrocytes,R01641,R01641,1,,chebi,65,False,True,,0, +BIOMD0000000627,TKL_1_neurons__R01641,X5P_neurons + R5P_neurons => species_9 + S7P_neurons,R01641,R01641,1,,chebi,65,False,True,,0, +BIOMD0000000627,TKL_2_astrocytes__R01830,species_8 + species_10 => X5P_astrocytes + E4P_astrocytes,R01830,R01830,1,,chebi,65,False,True,,0, +BIOMD0000000627,TKL_2_neurons__R01830,species_7 + species_9 => X5P_neurons + E4P_neurons,R01830,R01830,1,,chebi,65,False,True,,0, +BIOMD0000000627,ZWF_astrocytes__R02736,species_6 + NADP_astrocytes => G6L_astrocytes + NADPH_astrocytes,R02736,R02736,1,,chebi,65,False,True,,0, +BIOMD0000000627,ZWF_neurons__R02736,species_2 + NADP_neurons => G6L_neurons + NADPH_neurons,R02736,R02736,1,,chebi,65,False,True,,0, +BIOMD0000000627,reaction_10,species_14 + ADP_astrocytes => species_5 + species_17,R00200,R00200,1,,chebi,65,False,True,,0, +BIOMD0000000627,reaction_2,species_5 + species_4 => species_6 + ADP_astrocytes,R01786,R01786,1,,chebi,65,False,True,,0, +BIOMD0000000627,reaction_5,species_7 + species_3 => 2 species_9 + ADP_neurons,R01015;R01070;R04779,R01015,3,,chebi,65,False,True,,0, +BIOMD0000000627,reaction_6,species_8 + species_5 => 2 species_10 + ADP_astrocytes,R01015;R01070;R04779,R01015,3,,chebi,65,False,True,,0, +BIOMD0000000627,reaction_7,species_9 + ADP_neurons + NAD_neurons => species_11 + species_12 + species_3,R00658;R01061;R01512;R01518,R00658,4,,chebi,65,False,True,,0, +BIOMD0000000627,reaction_8,species_10 + ADP_astrocytes + NAD_astrocytes => species_13 + species_14 + species_5,R00658;R01061;R01512;R01518,R00658,4,,chebi,65,False,True,,0, +BIOMD0000000627,reaction_9,species_12 + ADP_neurons => species_3 + species_15,R00200,R00200,1,,chebi,65,False,True,,0, +BIOMD0000000633,ALD,fru16bp <=> gap + dhap,R01068,R01068,1,,chebi,6,False,True,,0, +BIOMD0000000633,EN,pg2 <=> pep,R00658,R00658,1,,chebi,6,False,True,,0, +BIOMD0000000633,FBP1,fru16bp <=> fru6p,R00762,R00762,1,,chebi,6,False,True,,0, +BIOMD0000000633,FBP2,fru26bp <=> fru6p,R00763,R00763,1,,chebi,6,False,True,,0, +BIOMD0000000633,G1PI,glc1p <=> glc6p,R08639,R08639,1,,chebi,6,False,True,,0, +BIOMD0000000633,G6P_ER,glc6p_er <=> glc_er,R00303,R00303,1,,chebi,6,False,True,,0, +BIOMD0000000633,GAPDH,gap <=> bpg13,R01061,R01061,1,,chebi,6,False,True,,0, +BIOMD0000000633,GK,glc <=> glc6p,R00299,R00299,1,,chebi,6,False,True,,0, +BIOMD0000000633,GP,glyglc <=> glc1p,R02111,R02111,1,,chebi,6,False,True,,0, +BIOMD0000000633,GPI,glc6p <=> fru6p,R00771,R00771,1,,chebi,6,False,True,,0, +BIOMD0000000633,GS,udpglc <=> glyglc + udp,R00292,R00292,1,,chebi,6,False,True,,0, +BIOMD0000000633,LDH,pyr <=> lac,R00703,R00703,1,,chebi,6,False,True,,0, +BIOMD0000000633,MDH,mal <=> oa,R00342,R00342,1,,chebi,6,False,True,,0, +BIOMD0000000633,MDH_mito,mal_mito <=> oa_mito,R00342,R00342,1,,chebi,6,False,True,,0, +BIOMD0000000633,NDK_GTP,gdp <=> gtp,R00330,R00330,1,,chebi,6,False,True,,0, +BIOMD0000000633,NDK_GTP_mito,gdp_mito <=> gtp_mito,R00330,R00330,1,,chebi,6,False,True,,0, +BIOMD0000000633,NDK_UTP,udp <=> utp,R00156,R00156,1,,chebi,6,False,True,,0, +BIOMD0000000633,PC,pyr_mito <=> oa_mito,R00344,R00344,1,,chebi,6,False,True,,0, +BIOMD0000000633,PEPCK,oa + gtp <=> pep + gdp,R00431,R00431,1,,chebi,6,False,True,,0, +BIOMD0000000633,PEPCK_mito,oa_mito + gtp_mito <=> pep_mito + gdp_mito,R00431,R00431,1,,chebi,6,False,True,,0, +BIOMD0000000633,PFK1,fru6p <=> fru16bp,R00756,R00756,1,,chebi,6,False,True,,0, +BIOMD0000000633,PFK2,fru6p <=> fru26bp,R02732,R02732,1,,chebi,6,False,True,,0, +BIOMD0000000633,PGK,bpg13 <=> pg3,R01512,R01512,1,,chebi,6,False,True,,0, +BIOMD0000000633,PGM,pg3 <=> pg2,R01518,R01518,1,,chebi,6,False,True,,0, +BIOMD0000000633,PK,pep <=> pyr,R00200,R00200,1,,chebi,6,False,True,,0, +BIOMD0000000633,TPI,dhap <=> gap,R01015,R01015,1,,chebi,6,False,True,,0, +BIOMD0000000633,UGT,utp + glc1p <=> udpglc,R00289,R00289,1,,chebi,6,False,True,,0, +BIOMD0000000674,V_ART,c_10f + aic <=> c_thf,R04560,R04560,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_BHMT,hcy + BET <=> met + dmg,R02821,R02821,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_CBS,hcy + c_ser <=> cyt,R01289,R01289,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_CTGL,cyt <=> c_cys,R00894,R00894,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_DNMT,sam <=> sah,R00649,R00649,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_GCS,c_cys + c_glu <=> glc,R00894,R00894,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_GNMT,sam + c_gly <=> sah + src,R00367,R00367,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_GPX,2 c_gsh + H2O2 <=> c_gsg,R00274,R00274,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_GR,c_gsg + NADPH <=> 2 c_gsh,R00115,R00115,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_GS,glc + c_gly <=> c_gsh,R00497,R00497,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_MATI,met <=> sam,R00650,R00650,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_MATIII,met <=> sam,R00650,R00650,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_MTHFR,c_2cf + NADPH <=> c_5mf,R01220,R01220,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_SAHH,sah <=> hcy,R00192,R00192,1,,chebi,50,False,True,,0, +BIOMD0000000674,V_TS,DUMP + c_2cf <=> c_dhf,R02101,R02101,1,,chebi,50,False,True,,0, +BIOMD0000000674,VcMTCH,c_1cf <=> c_10f,R01655,R01655,1,,chebi,50,False,True,,0, +BIOMD0000000674,VcMTD,c_2cf <=> c_1cf + NADPH,R01220,R01220,1,,chebi,50,False,True,,0, +BIOMD0000000674,VmFTD,m_10f <=> m_thf,R00941,R00941,1,,chebi,50,False,True,,0, +BIOMD0000000674,VmFTS,m_thf + m_coo <=> m_10f,R00944,R00944,1,,chebi,50,False,True,,0, +BIOMD0000000674,VmNE,m_thf + HCHO <=> m_2cf,R09093,R09093,1,,chebi,50,False,True,,0, +BIOMD0000000674,VmSHMT,m_thf + m_ser <=> m_gly + m_2cf,R00945,R00945,1,,chebi,50,False,True,,0, +BIOMD0000000674,gluconeogenesis_ser,c_ser <=>,,,0,R0006565,chebi,50,True,False,invalid_ground_truth_id,0, +BIOMD0000000689,FolA,DHF + NADPH => NADP + THF,R00939,R00939,1,,chebi,16,False,True,,0, +BIOMD0000000689,FolC,L_Glutamate + ATP + H2_Pteroate => DHF + ADP + Phosphate,R02237,R02237,1,,chebi,16,False,True,,0, +BIOMD0000000689,FolK,ATP + H2_HMPt => AMP + H2_HMPterinPP,R03503,R03503,1,,chebi,16,False,True,,0, +BIOMD0000000689,FolP,p_ABA + H2_HMPterinPP => PPi + H2_Pteroate,R03067,R03067,1,,chebi,16,False,True,,0, +BIOMD0000000689,GlyA,THF + L_serine <=> CH2_THF + Glycine,R00945,R00945,1,,chebi,16,False,True,,0, +BIOMD0000000689,PanB,CH2_THF => H2_HMPt + p_ABA,R03066,R03066,1,,chebi,16,False,True,,0, +BIOMD0000000690,FolA,DHF + NADPH => NADP + THF,R00939,R00939,1,,chebi,16,False,True,,0, +BIOMD0000000690,FolC,L_Glutamate + ATP + H2_Pteroate => DHF + ADP + Phosphate,R02237,R02237,1,,chebi,16,False,True,,0, +BIOMD0000000690,FolK,ATP + H2_HMPt => AMP + H2_HMPterinPP,R03503,R03503,1,,chebi,16,False,True,,0, +BIOMD0000000690,FolP,p_ABA + H2_HMPterinPP => PPi + H2_Pteroate,R03067,R03067,1,,chebi,16,False,True,,0, +BIOMD0000000690,GlyA,THF + L_serine <=> CH2_THF + Glycine,R00945,R00945,1,,chebi,16,False,True,,0, +BIOMD0000000690,PanB,CH2_THF => H2_HMPt + p_ABA,R03066,R03066,1,,chebi,16,False,True,,0, +BIOMD0000000691,v1_cell_1,S1__Cell_1_ + 2 A3__Cell_1_ => 2 S2__Cell_1_,R01015;R01070;R01786;R02740;R04779,R01015,5,,chebi,12,False,True,,0, +BIOMD0000000691,v1_cell_2,S1__Cell_2_ + 2 A3__Cell_2_ => 2 S2__Cell_2_,R01015;R01070;R01786;R02740;R04779,R01015,5,,chebi,12,False,True,,0, +BIOMD0000000691,v2_cell_1,S2__Cell_1_ + N1__Cell_1_ => S3__Cell_1_ + N2__Cell_1_,R01061,R01061,1,,chebi,12,False,True,,0, +BIOMD0000000691,v2_cell_2,S2__Cell_2_ + N1__Cell_2_ => S3__Cell_2_ + N2__Cell_2_,R01061,R01061,1,,chebi,12,False,True,,0, +BIOMD0000000691,v3_cell_1,S3__Cell_1_ + A2__Cell_1_ => S4__Cell_1_ + 2 A3__Cell_1_,R00200;R00658;R01512;R01518,R00200,4,,chebi,12,False,True,,0, +BIOMD0000000691,v3_cell_2,S3__Cell_2_ + A2__Cell_2_ => S4__Cell_2_ + 2 A3__Cell_2_,R00200;R00658;R01512;R01518,R00200,4,,chebi,12,False,True,,0, +BIOMD0000000691,v4_cell_1,S4__Cell_1_ + N2__Cell_1_ =>,R00754,R00754,1,,chebi,12,True,False,exchange_ssx,0, +BIOMD0000000691,v4_cell_2,S4__Cell_2_ + N2__Cell_2_ =>,R00754,R00754,1,,chebi,12,True,False,exchange_ssx,0, +BIOMD0000000691,v6_cell_1,S2__Cell_1_ + N2__Cell_1_ =>,R01036,R01036,1,,chebi,12,True,False,exchange_ssx,0, +BIOMD0000000691,v6_cell_2,S2__Cell_2_ + N2__Cell_2_ =>,R01036,R01036,1,,chebi,12,True,False,exchange_ssx,0, +BIOMD0000000725,R1,PEP + EP => DAHP + Pi,R01826,R01826,1,,none,0,False,True,,0, +BIOMD0000000725,R10,GTP => DHNTP + Formyl,R00424,R00424,1,,none,0,False,True,,0, +BIOMD0000000725,R11,DHNTP => AHMDHP + HAD + Pi,R03504,R03504,1,,none,0,False,True,,0, +BIOMD0000000725,R12,AHMDHP + ATP => AHMDPP + AMP,R03503,R03503,1,,none,0,False,True,,0, +BIOMD0000000725,R13,AHMDPP + pABA => DHP + Pi,R03067,R03067,1,,none,0,False,True,,0, +BIOMD0000000725,R14,DHP + Glu + ATP => DHF + ADP + Pi,R02237,R02237,1,,none,0,False,True,,0, +BIOMD0000000725,R15,DHF + NADPH => THF + NADP,R00939,R00939,1,,none,0,False,True,,0, +BIOMD0000000725,R16,THF + Glu + ATP => THFGlu + ADP + Pi,R04241,R04241,1,,none,0,False,True,,0, +BIOMD0000000725,R17,THFGlu + Ser <=> myTHFGlu + Gly,R00945,R00945,1,,none,0,False,True,,0, +BIOMD0000000725,R18a,Lp + NADH <=> DLp + NAD,R03815,R03815,1,,none,0,False,True,,0, +BIOMD0000000725,R18b,DLp + Gly <=> SAmDLp + COTwo,R03425,R03425,1,,none,0,False,True,,0, +BIOMD0000000725,R18c,THFGlu + SAmDLp <=> myTHFGlu + Lp + Ammonia,R04125,R04125,1,,none,0,False,True,,0, +BIOMD0000000725,R19,myTHFGlu + NADPH => MTHFGlu + NADP,R01224,R01224,1,,none,0,False,True,,0, +BIOMD0000000725,R2,DAHP => DHQ + Pi,R03083,R03083,1,,none,0,False,True,,0, +BIOMD0000000725,R20,MTHFGlu + Hcy => THFGlu + Met,R00946,R00946,1,,none,0,False,True,,0, +BIOMD0000000725,R21,myTHFGlu + dUMP => dTMP + DHF,R02101,R02101,1,,none,0,False,True,,0, +BIOMD0000000725,R22,myTHFGlu + NADP <=> meTHFGlu + NADPH,R01220,R01220,1,,none,0,False,True,,0, +BIOMD0000000725,R23,meTHFGlu <=> fTHFGlu,R01655,R01655,1,,none,0,False,True,,0, +BIOMD0000000725,R24,fTHFGlu + ADP + Pi <=> THFGlu + ATP + Formyl,R00943,R00943,1,,none,0,False,True,,0, +BIOMD0000000725,R25,fTHFGlu + mtRNA <=> fmtRNA + THFGlu,R03940,R03940,1,,none,0,False,True,,0, +BIOMD0000000725,R26,fTHFGlu + NADP <=> THFGlu + COTwo + NADPH,R00941,R00941,1,,none,0,False,True,,0, +BIOMD0000000725,R27,DHNTP => PTHP + Pi,R04286,R04286,1,,none,0,False,True,,0, +BIOMD0000000725,R28,meTHFGlu => ffTHFGlu,R02300,R02300,1,,none,0,False,True,,0, +BIOMD0000000725,R29,ATP + ffTHFGlu => ADP + Pi + meTHFGlu,R02301,R02301,1,,none,0,False,True,,0, +BIOMD0000000725,R3,DHQ => DHSK,R03084,R03084,1,,none,0,False,True,,0, +BIOMD0000000725,R4,DHSK + NADPH => SK + NADP,R02413,R02413,1,,none,0,False,True,,0, +BIOMD0000000725,R5,SK + ATP => SKP + ADP + Pi,R02412,R02412,1,,none,0,False,True,,0, +BIOMD0000000725,R6,SKP + PEP => CVPSK + Pi,R03460,R03460,1,,none,0,False,True,,0, +BIOMD0000000725,R7,CVPSK => CM + Pi,R01714,R01714,1,,none,0,False,True,,0, +BIOMD0000000725,R8,CM + Gln => ADC + Glu,R01716,R01716,1,,none,0,False,True,,0, +BIOMD0000000725,R9,ADC => pABA + Pyr,R05553,R05553,1,,none,0,False,True,,0, +BIOMD0000001061,R_3HAD100,M_3hdecACP_c => M_h2o_c + M_tdec2eACP_c,R04535,R04535,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3HAD120,M_3hddecACP_c => M_h2o_c + M_tddec2eACP_c,R04965,R04965,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3HAD140,M_3hmrsACP_c => M_h2o_c + M_tmrs2eACP_c,R04568,R04568,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3HAD160,M_3hpalmACP_c => M_h2o_c + M_tpalm2eACP_c,R04544,R04544,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3HAD180,M_3hoctaACP_c => M_h2o_c + M_toctd2eACP_c,R07764,R07764,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3HAD60,M_3hhexACP_c => M_h2o_c + M_thex2eACP_c,R04954,R04954,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3HAD80,M_3hoctACP_c => M_h2o_c + M_toct2eACP_c,R04537,R04537,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3OAR100,M_3odecACP_c + M_h_c + M_nadph_c <=> M_3hdecACP_c + M_nadp_c,R04534,R04534,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3OAR120,M_3oddecACP_c + M_h_c + M_nadph_c <=> M_3hddecACP_c + M_nadp_c,R04964,R04964,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3OAR140,M_3omrsACP_c + M_h_c + M_nadph_c <=> M_3hmrsACP_c + M_nadp_c,R04566,R04566,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3OAR160,M_3opalmACP_c + M_h_c + M_nadph_c <=> M_3hpalmACP_c + M_nadp_c,R04543,R04543,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3OAR60,M_3ohexACP_c + M_h_c + M_nadph_c <=> M_3hhexACP_c + M_nadp_c,R04953,R04953,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3OAR80,M_3ooctACP_c + M_h_c + M_nadph_c <=> M_3hoctACP_c + M_nadp_c,R04536,R04536,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_3OXCOAT,M_coa_c + M_oxadpcoa_c => M_accoa_c + M_succoa_c,R00829,R00829,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_4HTHRS,M_h2o_c + M_phthr_c => M_4hthr_c + M_pi_c,R05086,R05086,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ABTA,M_4abut_c + M_akg_c => M_glu__L_c + M_sucsal_c,R01648,R01648,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACACT1r,2 M_accoa_c <=> M_coa_c + M_aacoa_c,R00238,R00238,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACACT2r,M_accoa_c + M_btcoa_c <=> M_coa_c + M_3ohcoa_c,R01177,R01177,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACACT4r,M_accoa_c + M_occoa_c <=> M_coa_c + M_3odcoa_c,R03778,R03778,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACACT6r,M_accoa_c + M_ddcacoa_c <=> M_coa_c + M_3otdcoa_c,R03858,R03858,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACACT7r,M_accoa_c + M_tdcoa_c <=> M_coa_c + M_3ohdcoa_c,R03991,R03991,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACBIPGT,M_adocbip_c + M_gtp_c + M_h_c => M_agdpcbi_c + M_ppi_c,R05222,R05222,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACCOAC,M_hco3_c + M_accoa_c + M_atp_c => M_adp_c + M_h_c + M_malcoa_c + M_pi_c,R00742,R00742,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACGK,M_acglu_c + M_atp_c => M_acg5p_c + M_adp_c,R02649,R02649,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACGS,M_accoa_c + M_glu__L_c => M_acglu_c + M_coa_c + M_h_c,R00259,R00259,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACHBS,M_2obut_c + M_h_c + M_pyr_c => M_2ahbut_c + M_co2_c,R08648,R08648,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACKr,M_ac_c + M_atp_c <=> M_actp_c + M_adp_c,R00315,R00315,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACLS,M_h_c + 2 M_pyr_c => M_alac__S_c + M_co2_c,R00226,R00226,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACOAD1f,M_fad_c + M_btcoa_c => M_fadh2_c + M_b2coa_c,R01175,R01175,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACOAD3f,M_fad_c + M_occoa_c <=> M_fadh2_c + M_oc2coa_c,R03777,R03777,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACOAD5f,M_fad_c + M_ddcacoa_c <=> M_fadh2_c + M_dd2coa_c,R03857,R03857,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACOAD6f,M_fad_c + M_tdcoa_c <=> M_fadh2_c + M_td2coa_c,R03990,R03990,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACOAD7f,M_fad_c + M_pmtcoa_c <=> M_fadh2_c + M_hdd2coa_c,R01279,R01279,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACOATA,M_ACP_c + M_accoa_c <=> M_acACP_c + M_coa_c,R01624,R01624,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACONT,M_cit_c <=> M_icit_c,R01324,R01324,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACOTA,M_acorn_c + M_akg_c <=> M_acg5sa_c + M_glu__L_c,R02283,R02283,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ACS,M_ac_c + M_atp_c + M_coa_c => M_accoa_c + M_amp_c + M_ppi_c,R00235,R00235,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADCL,M_4adcho_c => M_4abz_c + M_h_c + M_pyr_c,R05553,R05553,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADCPS2,M_adcobhex_c + M_applp_c + M_atp_c => M_adocbip_c + M_adp_c + M_h_c + M_pi_c,R06529,R06529,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADCS,M_chor_c + M_gln__L_c => M_4adcho_c + M_glu__L_c,R01716,R01716,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADK1,M_amp_c + M_atp_c <=> 2 M_adp_c,R00127,R00127,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADNK1,M_atp_c + M_adn_c => M_adp_c + M_amp_c + M_h_c,R00185,R00185,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADOCBLS,M_agdpcbi_c + M_rdmbzi_c => M_adocbl_c + M_gmp_c + M_h_c,R05223,R05223,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADPT,M_ade_c + M_prpp_c => M_amp_c + M_ppi_c,R00190,R00190,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADSL1r,M_dcamp_c => M_amp_c + M_fum_c,R01083,R01083,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADSL2r,M_25aics_c => M_aicar_c + M_fum_c,R04559,R04559,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ADSS,M_asp__L_c + M_gtp_c + M_imp_c => M_dcamp_c + M_gdp_c + 2 M_h_c + M_pi_c,R01135,R01135,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AGMT,M_h2o_c + M_agm_c => M_ptrc_c + M_urea_c,R01157,R01157,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AGPR,M_acg5sa_c + M_nadp_c + M_pi_c <=> M_acg5p_c + M_h_c + M_nadph_c,R03443,R03443,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AGTi,M_ala__L_c + M_glx_c => M_gly_c + M_pyr_c,R00369,R00369,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AHCYSNS,M_ahcys_c + M_h2o_c => M_ade_c + M_rhcys_c,R00194,R00194,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AHSERL2,M_achms_c + M_h2s_c => M_ac_c + M_h_c + M_hcys__L_c,R01287,R01287,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AICART,M_10fthf_c + M_aicar_c <=> M_fprica_c + M_thf_c,R04560,R04560,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AIRC3,M_5aizc_c <=> M_5caiz_c,R07405,R07405,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AKGDH,M_akg_c + M_coa_c + M_nad_c => M_co2_c + M_nadh_c + M_succoa_c,R08549,R08549,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ALAALAr,2 M_ala__D_c + M_atp_c <=> M_adp_c + M_alaala_c + M_h_c + M_pi_c,R01150,R01150,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ALAR,M_ala__L_c <=> M_ala__D_c,R00401,R00401,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ALATA_D2,M_ala__D_c + M_pydx5p_c => M_pyr_c + M_pyam5p_c,R01147,R01147,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ALATA_L,M_akg_c + M_ala__L_c <=> M_glu__L_c + M_pyr_c,R00258,R00258,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ALCD19,M_h_c + M_nadh_c + M_glyald_c <=> M_glyc_c + M_nad_c,R01036,R01036,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ALCD2x,M_nad_c + M_etoh_c <=> M_acald_c + M_h_c + M_nadh_c,R00754,R00754,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ALDD2y,M_acald_c + M_h2o_c + M_nadp_c => M_ac_c + 2 M_h_c + M_nadph_c,R00711,R00711,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AMAOTr,M_amet_c + M_8aonn_c <=> M_dann_c + M_amob_c,R03231,R03231,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AMO,M_o2_p + 2 M_h_c + M_q8h2_c + M_nh4_p => M_h2o_p + M_q8_c + 3 M_h_p + M_ham_p,R02529,R02529,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AMPTASECG,M_h2o_c + M_cgly_c => M_cys__L_c + M_gly_c,R00899,R00899,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ANPRT,M_anth_c + M_prpp_c => M_ppi_c + M_pran_c,R01073,R01073,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ANS,M_chor_c + M_gln__L_c => M_anth_c + M_glu__L_c + M_h_c + M_pyr_c,R00986,R00986,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ANS2,M_chor_c + M_nh4_c => M_anth_c + M_h_c + M_h2o_c + M_pyr_c,R00985,R00985,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AOXSr,M_ala__L_c + M_h_c + M_pmcoa_c <=> M_co2_c + M_coa_c + M_8aonn_c,R03210,R03210,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AOXSr2,M_ala__L_c + M_pimACP_c => M_ACP_c + M_co2_c + M_8aonn_c,R10124,R10124,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AP4AH,M_h2o_c + M_ap4a_c => 2 M_adp_c + 2 M_h_c,R00125,R00125,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_AP5AH,M_h2o_c + M_ap5a_c => M_adp_c + M_atp_c + 2 M_h_c,R09880,R09880,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_APRAUR,M_5apru_c + M_h_c + M_nadph_c => M_5aprbu_c + M_nadp_c,R03458,R03458,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_APSR,M_aps_c + M_trdrd_c <=> M_amp_c + 2 M_h_c + M_so3_c + M_trdox_c,R07176,R07176,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ARGSL,M_argsuc_c <=> M_arg__L_c + M_fum_c,R01086,R01086,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ARGSS,M_asp__L_c + M_atp_c + M_citr__L_c => M_amp_c + M_argsuc_c + M_h_c + M_ppi_c,R01954,R01954,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASAD,M_aspsa_c + M_nadp_c + M_pi_c <=> M_4pasp_c + M_h_c + M_nadph_c,R02291,R02291,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASNS1,M_asp__L_c + M_atp_c + M_gln__L_c + M_h2o_c => M_amp_c + M_asn__L_c + M_glu__L_c + M_h_c + M_ppi_c,R00578,R00578,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASP1DC,M_asp__L_c + M_h_c => M_ala_B_c + M_co2_c,R00489,R00489,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASPCT,M_asp__L_c + M_cbp_c => M_cbasp_c + M_h_c + M_pi_c,R01397,R01397,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASPK,M_asp__L_c + M_atp_c <=> M_4pasp_c + M_adp_c,R00480,R00480,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASPO2,M_asp__L_c + M_nad_c => 2 M_h_c + M_iasp_c + M_nadh_c,R07410,R07410,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASPO2y,M_asp__L_c + M_nadp_c => 2 M_h_c + M_iasp_c + M_nadph_c,R07407,R07407,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASPO6,M_o2_c + M_asp__L_c => M_h_c + M_iasp_c + M_h2o2_c,R00481,R00481,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASPT,M_asp__L_c => M_fum_c + M_nh4_c,R00490,R00490,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASPTA,M_akg_c + M_asp__L_c <=> M_glu__L_c + M_oaa_c,R00355,R00355,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ASPTRS,M_asp__L_c + M_atp_c + M_trnaasp_c => M_amp_c + M_ppi_c + M_asptrna_c,R05577,R05577,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ATPM,M_atp_c + M_h2o_c => M_adp_c + M_h_c + M_pi_c,R00086,R00086,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ATPPRT,M_atp_c + M_prpp_c => M_ppi_c + M_prbatp_c,R01071,R01071,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CAT,2 M_h2o2_c => M_o2_c + 2 M_h2o_c,R00009,R00009,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CBLAT,M_atp_c + M_h_c + M_cbl1_c <=> M_adocbl_c + M_pppi_c,R01492,R01492,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CBPS,M_hco3_c + 2 M_atp_c + M_gln__L_c + M_h2o_c => 2 M_adp_c + M_cbp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00575,R00575,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CDPMEK,M_4c2me_c + M_atp_c => M_2p4c2me_c + M_adp_c + M_h_c,R05634,R05634,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CHORM,M_chor_c => M_pphn_c,R01715,R01715,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CHORS,M_3psme_c => M_chor_c + M_pi_c,R01714,R01714,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CITL,M_cit_c => M_ac_c + M_oaa_c,R00362,R00362,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CPC3MT,M_amet_c + M_copre3_c => M_ahcys_c + M_copre4_c,R05809,R05809,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CPC5MT,M_amet_c + M_copre5_c + M_h2o_c => M_acald_c + M_ahcys_c + M_copre6_c + M_h_c,R05811,R05811,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CPC6MT,2 M_amet_c + M_codhpre6_c => 2 M_ahcys_c + M_co2_c + M_copre8_c + M_h_c,R05813,R05813,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CPC8MM,M_copre8_c <=> M_cobya_c,R05814,R05814,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CPPPGO,M_o2_c + M_cpppg3_c + 2 M_h_c => 2 M_co2_c + 2 M_h2o_c + M_pppg9_c,R03220,R03220,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CPPPGO2,2 M_amet_c + M_cpppg3_c => 2 M_co2_c + 2 M_dad_5_c + 2 M_met__L_c + M_pppg9_c,R06895,R06895,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CS,M_accoa_c + M_h2o_c + M_oaa_c => M_cit_c + M_coa_c + M_h_c,R00351,R00351,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CTPS1,M_atp_c + M_nh4_c + M_utp_c => M_adp_c + M_ctp_c + 2 M_h_c + M_pi_c,R00571,R00571,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CTPS2,M_atp_c + M_gln__L_c + M_h2o_c + M_utp_c => M_adp_c + M_ctp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00573,R00573,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYSDS,M_cys__L_c + M_h2o_c => M_h2s_c + M_nh4_c + M_pyr_c,R00782,R00782,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYSS,M_acser_c + M_h2s_c => M_ac_c + M_cys__L_c + M_h_c,R00897,R00897,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYSSADS,2 M_h_c + M_3sala_c => M_ala__L_c + M_so2_c,R00863,R00863,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYSTGL,M_cyst__L_c + M_h2o_c => M_2obut_c + M_cys__L_c + M_nh4_c,R01001,R01001,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYSTL,M_cyst__L_c + M_h2o_c => M_hcys__L_c + M_nh4_c + M_pyr_c,R01286,R01286,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYSTRS,M_atp_c + M_cys__L_c + M_trnacys_c => M_amp_c + M_ppi_c + M_cystrna_c,R03650,R03650,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYSTS,M_hcys__L_c + M_ser__L_c => M_cyst__L_c + M_h2o_c,R01290,R01290,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYTK1,M_atp_c + M_cmp_c <=> M_adp_c + M_cdp_c,R00512,R00512,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_CYTK2,M_atp_c + M_dcmp_c <=> M_adp_c + M_dcdp_c,R01665,R01665,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DADK,M_atp_c + M_damp_c <=> M_adp_c + M_dadp_c,R01547,R01547,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DAPDC,M_26dap__M_c + M_h_c => M_co2_c + M_lys__L_c,R00451,R00451,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DAPE,M_26dap_LL_c <=> M_26dap__M_c,R02735,R02735,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DB4PS,M_ru5p__D_c => M_db4p_c + M_for_c + M_h_c,R07281,R07281,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DBTS,M_atp_c + M_co2_c + M_dann_c => M_adp_c + 3 M_h_c + M_pi_c + M_dtbt_c,R03182,R03182,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DDPA,M_e4p_c + M_h2o_c + M_pep_c => M_2dda7p_c + M_pi_c,R01826,R01826,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DGK1,M_atp_c + M_dgmp_c <=> M_adp_c + M_dgdp_c,R02090,R02090,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHAD1,M_23dhmb_c => M_3mob_c + M_h2o_c,R04441,R04441,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHAD2,M_23dhmp_c => M_3mop_c + M_h2o_c,R05070,R05070,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHFR,M_dhf_c + M_h_c + M_nadph_c <=> M_nadp_c + M_thf_c,R00939,R00939,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHFS,M_atp_c + M_dhpt_c + M_glu__L_c => M_adp_c + M_dhf_c + M_h_c + M_pi_c,R02237,R02237,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHNPA2r,M_dhnpt_c <=> M_gcald_c + M_6hmhpt_c,R03504,R03504,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHORTS,M_dhor__S_c + M_h2o_c <=> M_cbasp_c + M_h_c,R01993,R01993,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHPPDA2,M_h_c + M_h2o_c + M_25drapp_c => M_5apru_c + M_nh4_c,R03459,R03459,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHPS2,M_4abz_c + M_6hmhptpp_c => M_dhpt_c + M_ppi_c,R03067,R03067,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHQS,M_2dda7p_c => M_3dhq_c + M_pi_c,R03083,R03083,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DHQTi,M_3dhq_c <=> M_3dhsk_c + M_h2o_c,R03084,R03084,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DMATT,M_dmpp_c + M_ipdp_c => M_grdp_c + M_ppi_c,R01658,R01658,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DNMPPA,M_h2o_c + M_dhpmp_c => M_dhnpt_c + M_pi_c,R04621,R04621,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DNTPPA,M_h2o_c + M_ahdt_c => M_h_c + M_ppi_c + M_dhpmp_c,R04638,R04638,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DPCOAK,M_atp_c + M_dpcoa_c => M_adp_c + M_coa_c + M_h_c,R00130,R00130,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DPR,M_2dhp_c + M_h_c + M_nadph_c => M_nadp_c + M_pant__R_c,R02472,R02472,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DTMPK,M_atp_c + M_dtmp_c <=> M_adp_c + M_dtdp_c,R02094,R02094,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DUTPDP,M_h2o_c + M_dutp_c => M_dump_c + M_h_c + M_ppi_c,R02100,R02100,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DXPRIi,M_dxyl5p_c + M_h_c + M_nadph_c => M_2me4p_c + M_nadp_c,R05688,R05688,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_DXPS,M_g3p_c + M_h_c + M_pyr_c => M_co2_c + M_dxyl5p_c,R05636,R05636,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_E4PD,M_e4p_c + M_h2o_c + M_nad_c <=> 2 M_h_c + M_nadh_c + M_4per_c,R01825,R01825,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_EGMEACPR,M_h_c + M_nadph_c + M_egmeACP_c => M_nadp_c + M_gmeACP_c,R10118,R10118,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ENO,M_2pg_c <=> M_h2o_c + M_pep_c,R00658,R00658,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_EPMEACPR,M_h_c + M_nadph_c + M_epmeACP_c => M_nadp_c + M_pmeACP_c,R10122,R10122,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FACOAL160,M_atp_c + M_coa_c + M_hdca_c <=> M_amp_c + M_pmtcoa_c + M_ppi_c,R01280,R01280,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FADRx2,M_fad_c + M_h_c + M_nadph_c => M_nadp_c + M_fadh2_c,R09520,R09520,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FALDH2,M_nad_c + M_hmgth_c <=> M_h_c + M_nadh_c + M_Sfglutth_c,R06983,R06983,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FBA,M_fdp_c <=> M_dhap_c + M_g3p_c,R01068,R01068,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FBA2,M_f1p_c <=> M_dhap_c + M_glyald_c,R02568,R02568,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FBA3,M_s17bp_c <=> M_dhap_c + M_e4p_c,R01829,R01829,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FCLT,M_fe2_c + M_ppp9_c => 2 M_h_c + M_pheme_c,R00310,R00310,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FEROpp,M_o2_p + 4 M_h_p + 4 M_fe2_p => 2 M_h2o_p + 4 M_fe3_p,R00078,R00078,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FLVR,M_h_c + M_nadph_c + M_ribflv_c => M_nadp_c + M_rbflvrd_c,R05707,R05707,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FMETTRS,M_10fthf_c + M_mettrna_c => M_h_c + M_thf_c + M_fmettrna_c,R03940,R03940,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FMNAT,M_atp_c + M_fmn_c + M_h_c => M_fad_c + M_ppi_c,R00161,R00161,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FMNRx2,M_fmn_c + M_h_c + M_nadph_c => M_nadp_c + M_fmnh2_c,R05706,R05706,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FOLR2,M_fol_c + M_nadph_c => M_dhf_c + M_nadp_c,R02236,R02236,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FRTT,M_frdp_c + M_ipdp_c => M_ggdp_c + M_ppi_c,R02061,R02061,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FTHFLi,M_atp_c + M_for_c + M_thf_c => M_10fthf_c + M_adp_c + M_pi_c,R00943,R00943,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_FUM,M_fum_c + M_h2o_c <=> M_mal__L_c,R01082,R01082,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_G1PTT,M_dttp_c + M_g1p_c + M_h_c => M_dtdpglu_c + M_ppi_c,R02328,R02328,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_G1SAT,M_glu1sa_c <=> M_5aop_c,R02272,R02272,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_G2PP,M_h2o_c + M_glyc2p_c => M_glyc_c + M_pi_c,R01043,R01043,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_G3PCT,M_ctp_c + M_glyc3p_c + M_h_c => M_cdpglyc_c + M_ppi_c,R00856,R00856,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_G3PD2,M_glyc3p_c + M_nadp_c <=> M_dhap_c + M_h_c + M_nadph_c,R00844,R00844,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_G5SADs,M_glu5sa_c <=> M_1pyr5c_c + M_h_c + M_h2o_c,R03314,R03314,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_G5SD,M_glu5p_c + M_h_c + M_nadph_c => M_glu5sa_c + M_nadp_c + M_pi_c,R03313,R03313,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_G6PDH2r,M_nadp_c + M_g6p_c <=> M_h_c + M_nadph_c + M_6pgl_c,R00835,R00835,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GAPD,M_g3p_c + M_nad_c + M_pi_c <=> M_13dpg_c + M_h_c + M_nadh_c,R01061,R01061,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GARFT,M_10fthf_c + M_gar_c <=> M_fgam_c + M_h_c + M_thf_c,R04325,R04325,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GCALDD,M_gcald_c + M_h2o_c + M_nad_c => 2 M_h_c + M_nadh_c + M_glyclt_c,R01333,R01333,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GCCa,M_gly_c + M_h_c + M_lpro_c => M_alpro_c + M_co2_c,R03425,R03425,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GCCb,M_alpro_c + M_thf_c => M_dhlpro_c + M_mlthf_c + M_nh4_c,R04125,R04125,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GCCc,M_dhlpro_c + M_nad_c => M_h_c + M_lpro_c + M_nadh_c,R03815,R03815,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GHMT2r,M_ser__L_c + M_thf_c <=> M_gly_c + M_h2o_c + M_mlthf_c,R00945,R00945,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GK1,M_atp_c + M_gmp_c <=> M_adp_c + M_gdp_c,R00332,R00332,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLGC,M_atp_c + M_g1p_c + M_h_c => M_ppi_c + M_adpglc_c,R00948,R00948,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLNS,M_atp_c + M_glu__L_c + M_nh4_c => M_adp_c + M_gln__L_c + M_h_c + M_pi_c,R00253,R00253,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLNTRS,M_atp_c + M_gln__L_c + M_trnagln_c => M_amp_c + M_ppi_c + M_glntrna_c,R03652,R03652,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLU5K,M_atp_c + M_glu__L_c => M_adp_c + M_glu5p_c,R00239,R00239,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLUDy,M_glu__L_c + M_h2o_c + M_nadp_c <=> M_akg_c + M_h_c + M_nadph_c + M_nh4_c,R00248,R00248,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLUPRT,M_gln__L_c + M_h2o_c + M_prpp_c => M_glu__L_c + M_ppi_c + M_pram_c,R01072,R01072,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLUR,M_glu__D_c <=> M_glu__L_c,R00260,R00260,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLUSy,M_akg_c + M_gln__L_c + M_h_c + M_nadph_c => 2 M_glu__L_c + M_nadp_c,R00114,R00114,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLUTRR,M_glutrna_c + M_h_c + M_nadph_c => M_glu1sa_c + M_nadp_c + M_trnaglu_c,R04109,R04109,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLUTRS,M_atp_c + M_glu__L_c + M_trnaglu_c => M_amp_c + M_glutrna_c + M_ppi_c,R05578,R05578,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLYCL,M_gly_c + M_nad_c + M_thf_c => M_co2_c + M_mlthf_c + M_nadh_c + M_nh4_c,R01221,R01221,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLYCTO1,M_o2_c + M_glyclt_c => M_h2o2_c + M_glx_c,R00475,R00475,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLYK,M_atp_c + M_glyc_c => M_adp_c + M_glyc3p_c + M_h_c,R00847,R00847,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLYOX,M_h2o_c + M_lgt__S_c => M_h_c + M_lac__D_c + M_gthrd_c,R01736,R01736,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLYOX_1,M_lgt__S_c <=> M_gthrd_c + M_mthgxl_c,R02530,R02530,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GLYTRS,M_atp_c + M_gly_c + M_trnagly_c => M_amp_c + M_ppi_c + M_glytrna_c,R03654,R03654,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GMPS,M_atp_c + M_nh4_c + M_xmp_c => M_amp_c + M_gmp_c + 2 M_h_c + M_ppi_c,R01230,R01230,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GMPS2,M_atp_c + M_gln__L_c + M_h2o_c + M_xmp_c => M_amp_c + M_glu__L_c + M_gmp_c + 2 M_h_c + M_ppi_c,R01231,R01231,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GND,M_6pgc_c + M_nadp_c => M_co2_c + M_nadph_c + M_ru5p__D_c,R01528,R01528,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GRTT,M_grdp_c + M_ipdp_c => M_frdp_c + M_ppi_c,R02003,R02003,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GTHPi,M_h2o2_c + 2 M_gthrd_c => 2 M_h2o_c + M_gthox_c,R00274,R00274,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GTHS,M_atp_c + M_gly_c + M_glucys_c => M_adp_c + M_h_c + M_pi_c + M_gthrd_c,R00497,R00497,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GTPCI,M_gtp_c + M_h2o_c => M_for_c + M_h_c + M_ahdt_c,R00424,R00424,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_GTPDPK,M_atp_c + M_gtp_c => M_amp_c + M_gdptp_c + M_h_c,R00429,R00429,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HBZOPT,M_octdp_c + M_4hbz_c => M_ppi_c + M_3ophb_c,R05615,R05615,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HCO3E,M_co2_c + M_h2o_c <=> M_hco3_c + M_h_c,R00132;R10092,R00132,2,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HISTD,M_h2o_c + M_histd_c + 2 M_nad_c => 3 M_h_c + M_his__L_c + 2 M_nadh_c,R01158,R01158,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HISTP,M_h2o_c + M_hisp_c => M_histd_c + M_pi_c,R03013,R03013,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HISTRS,M_atp_c + M_his__L_c + M_trnahis_c => M_amp_c + M_ppi_c + M_histrna_c,R03655,R03655,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HMBS,M_h2o_c + 4 M_ppbng_c => M_hmbil_c + 4 M_nh4_c,R00084,R00084,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HPPK2,M_atp_c + M_6hmhpt_c => M_6hmhptpp_c + M_amp_c + M_h_c,R03503,R03503,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HSDy,M_hom__L_c + M_nadp_c <=> M_aspsa_c + M_h_c + M_nadph_c,R01775,R01775,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HSERTA,M_accoa_c + M_hom__L_c <=> M_achms_c + M_coa_c,R01776,R01776,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HSK,M_atp_c + M_hom__L_c => M_adp_c + M_h_c + M_phom_c,R01771,R01771,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_HSTPT,M_glu__L_c + M_imacp_c => M_akg_c + M_hisp_c,R03243,R03243,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ICDHyr,M_icit_c + M_nadp_c <=> M_akg_c + M_co2_c + M_nadph_c,R00267,R00267,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IG3PS,M_gln__L_c + M_prlp_c => M_aicar_c + M_eig3p_c + M_glu__L_c + M_h_c,R04558,R04558,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IGPDH,M_eig3p_c => M_h2o_c + M_imacp_c,R03457,R03457,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IGPS,M_2cpr5p_c + M_h_c => M_3ig3p_c + M_co2_c + M_h2o_c,R03508,R03508,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ILETA,M_akg_c + M_ile__L_c <=> M_3mop_c + M_glu__L_c,R02199,R02199,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ILETRS,M_atp_c + M_ile__L_c + M_trnaile_c => M_amp_c + M_iletrna_c + M_ppi_c,R03656,R03656,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IMPC,M_h2o_c + M_imp_c <=> M_fprica_c,R01127,R01127,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IMPD,M_h2o_c + M_imp_c + M_nad_c => M_h_c + M_nadh_c + M_xmp_c,R01130,R01130,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IPMD,M_3c2hmp_c + M_nad_c => M_3c4mop_c + M_h_c + M_nadh_c,R04426,R04426,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IPPMIa,M_3c2hmp_c <=> M_2ippm_c + M_h2o_c,R04001,R04001,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IPPMIb,M_2ippm_c + M_h2o_c <=> M_3c3hmp_c,R03968,R03968,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_IPPS,M_3mob_c + M_accoa_c + M_h2o_c => M_3c3hmp_c + M_coa_c + M_h_c,R01213,R01213,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_KARA1,M_23dhmb_c + M_nadp_c <=> M_alac__S_c + M_h_c + M_nadph_c,R04439,R04439,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_KAS14,M_acACP_c + M_h_c + M_malACP_c => M_ACP_c + M_actACP_c + M_co2_c,R04355,R04355,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_KAS15,M_accoa_c + M_h_c + M_malACP_c => M_actACP_c + M_co2_c + M_coa_c,R10707,R10707,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_LCARS,M_h_c + M_lald__L_c + M_nadh_c <=> M_12ppd__S_c + M_nad_c,R02258,R02258,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_LDH_D,M_lac__D_c + M_nad_c <=> M_h_c + M_nadh_c + M_pyr_c,R00704,R00704,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_LEUTAi,M_4mop_c + M_glu__L_c => M_akg_c + M_leu__L_c,R01090,R01090,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_LEUTRS,M_atp_c + M_leu__L_c + M_trnaleu_c => M_amp_c + M_leutrna_c + M_ppi_c,R03657,R03657,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_LYSTRS,M_atp_c + M_lys__L_c + M_trnalys_c => M_amp_c + M_ppi_c + M_lystrna_c,R03658,R03658,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MAN1PT2,M_gdp_c + M_h_c + M_man1p_c => M_gdpmann_c + M_pi_c,R00883,R00883,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MAN6PI,M_man6p_c <=> M_f6p_c,R01819,R01819,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MCOATA,M_ACP_c + M_malcoa_c <=> M_coa_c + M_malACP_c,R01626,R01626,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MDH,M_mal__L_c + M_nad_c <=> M_h_c + M_nadh_c + M_oaa_c,R00342,R00342,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ME1,M_mal__L_c + M_nad_c => M_co2_c + M_nadh_c + M_pyr_c,R00214,R00214,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MECDPS,M_2p4c2me_c => M_2mecdp_c + M_cmp_c,R05637,R05637,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MEPCT,M_2me4p_c + M_ctp_c + M_h_c => M_4c2me_c + M_ppi_c,R05633,R05633,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_METAT,M_atp_c + M_h2o_c + M_met__L_c => M_amet_c + M_pi_c + M_ppi_c,R00177,R00177,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_METS,M_5mthf_c + M_hcys__L_c => M_h_c + M_met__L_c + M_thf_c,R00946,R00946,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_METSOXR1,M_trdrd_c + M_metsox_S__L_c => M_h2o_c + M_met__L_c + M_trdox_c,R02025,R02025,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_METSOXR2,M_trdrd_c + M_metsox_R__L_c => M_h2o_c + M_met__L_c + M_trdox_c,R07608,R07608,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_METTRS,M_atp_c + M_met__L_c + M_trnamet_c => M_amp_c + M_mettrna_c + M_ppi_c,R03659,R03659,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MI1PP,M_h2o_c + M_mi1p__D_c => M_pi_c + M_inost_c,R01185,R01185,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MOHMT,M_3mob_c + M_h2o_c + M_mlthf_c => M_2dhp_c + M_thf_c,R01226,R01226,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MTHFC,M_h2o_c + M_methf_c <=> M_10fthf_c + M_h_c,R01655,R01655,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MTHFD,M_mlthf_c + M_nadp_c <=> M_methf_c + M_nadph_c,R01220,R01220,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_MTHFR2,2 M_h_c + M_mlthf_c + M_nadh_c => M_5mthf_c + M_nad_c,R07168,R07168,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NADDP,M_h2o_c + M_nad_c => M_amp_c + 2 M_h_c + M_nmn_c,R00103,R00103,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NADHPO,M_h_c + M_nadh_c + M_h2o2_c => 2 M_h2o_c + M_nad_c,R00090,R00090,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NADK,M_atp_c + M_nad_c => M_adp_c + M_h_c + M_nadp_c,R00104,R00104,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NADS1,M_atp_c + M_dnad_c + M_nh4_c => M_amp_c + M_h_c + M_nad_c + M_ppi_c,R00189,R00189,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NADS2,M_atp_c + M_dnad_c + M_gln__L_c + M_h2o_c => M_amp_c + M_glu__L_c + M_h_c + M_nad_c + M_ppi_c,R00257,R00257,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NADTRHD,M_nad_c + M_nadph_c => M_nadh_c + M_nadp_c,R00112,R00112,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NDPK1,M_atp_c + M_gdp_c <=> M_adp_c + M_gtp_c,R00330,R00330,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NDPK2,M_atp_c + M_udp_c <=> M_adp_c + M_utp_c,R00156,R00156,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NDPK3,M_atp_c + M_cdp_c <=> M_adp_c + M_ctp_c,R00570,R00570,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NDPK4,M_atp_c + M_dtdp_c <=> M_adp_c + M_dttp_c,R02093,R02093,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NDPK5,M_atp_c + M_dgdp_c <=> M_adp_c + M_dgtp_c,R01857,R01857,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NDPK6,M_atp_c + M_dudp_c <=> M_adp_c + M_dutp_c,R02331,R02331,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NDPK7,M_atp_c + M_dcdp_c <=> M_adp_c + M_dctp_c,R02326,R02326,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NDPK8,M_atp_c + M_dadp_c <=> M_adp_c + M_datp_c,R01137,R01137,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NMNDA,M_h2o_c + M_nmn_c => M_nh4_c + M_nicrnt_c,R02322,R02322,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NNATr,M_atp_c + M_h_c + M_nicrnt_c => M_dnad_c + M_ppi_c,R03005,R03005,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NNDMBRT,M_dmbzid_c + M_nicrnt_c => M_5prdmbz_c + M_h_c + M_nac_c,R04148,R04148,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NNDPR,2 M_h_c + M_prpp_c + M_quln_c => M_co2_c + M_nicrnt_c + M_ppi_c,R03348,R03348,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD1,M_dump_c + M_h2o_c => M_pi_c + M_duri_c,R02102,R02102,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD10,M_h2o_c + M_xmp_c => M_pi_c + M_xtsn_c,R02719,R02719,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD11,M_h2o_c + M_imp_c => M_pi_c + M_ins_c,R01126,R01126,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD2,M_h2o_c + M_ump_c => M_pi_c + M_uri_c,R00963,R00963,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD3,M_dcmp_c + M_h2o_c => M_pi_c + M_dcyt_c,R01664,R01664,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD4,M_cmp_c + M_h2o_c => M_pi_c + M_cytd_c,R00511,R00511,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD5,M_dtmp_c + M_h2o_c => M_pi_c + M_thymd_c,R01569,R01569,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD6,M_damp_c + M_h2o_c => M_pi_c + M_dad_2_c,R02088,R02088,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD7,M_amp_c + M_h2o_c => M_pi_c + M_adn_c,R00183,R00183,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD8,M_dgmp_c + M_h2o_c => M_pi_c + M_dgsn_c,R01968,R01968,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTD9,M_gmp_c + M_h2o_c => M_pi_c + M_gsn_c,R01227,R01227,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTP1,M_atp_c + M_h2o_c => M_adp_c + M_h_c + M_pi_c,R00086,R00086,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTP10,M_h2o_c + M_itp_c => M_h_c + M_pi_c + M_idp_c,R00719,R00719,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTP3,M_gtp_c + M_h2o_c => M_gdp_c + M_h_c + M_pi_c,R00335,R00335,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTP5,M_ctp_c + M_h2o_c => M_cdp_c + M_h_c + M_pi_c,R00569,R00569,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTPP10,M_h2o_c + M_ditp_c => M_h_c + M_ppi_c + M_dimp_c,R03531,R03531,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTPP11,M_h2o_c + M_xtp_c => M_h_c + M_ppi_c + M_xmp_c,R02720,R02720,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTPP7,M_dttp_c + M_h2o_c => M_dtmp_c + M_h_c + M_ppi_c,R11323,R11323,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTPP8,M_h2o_c + M_utp_c => M_h_c + M_ppi_c + M_ump_c,R00662,R00662,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_NTPP9,M_h2o_c + M_itp_c => M_h_c + M_imp_c + M_ppi_c,R00720,R00720,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OCBT,M_cbp_c + M_orn_c <=> M_citr__L_c + M_h_c + M_pi_c,R01398,R01398,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OCTDPS,M_frdp_c + 5 M_ipdp_c => M_octdp_c + 5 M_ppi_c,R09248,R09248,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OGMEACPD,M_hgmeACP_c => M_h2o_c + M_egmeACP_c,R10117,R10117,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OHPBAT,M_glu__L_c + M_ohpb_c <=> M_akg_c + M_phthr_c,R05085,R05085,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OHPHM,M_amet_c + M_2ohph_c => M_ahcys_c + M_h_c + M_2omph_c,R04988,R04988,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OMCDC,M_3c4mop_c + M_h_c => M_4mop_c + M_co2_c,R01652,R01652,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OMPDC,M_h_c + M_orot5p_c => M_co2_c + M_ump_c,R00965,R00965,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OPHBDC,M_h_c + M_3ophb_c => M_co2_c + M_2oph_c,R04986,R04986,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_OPMEACPD,M_hpmeACP_c => M_h2o_c + M_epmeACP_c,R10121,R10121,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ORNTAC,M_acorn_c + M_glu__L_c <=> M_acglu_c + M_orn_c,R02282,R02282,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_ORPT,M_orot5p_c + M_ppi_c <=> M_orot_c + M_prpp_c,R01870,R01870,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_P5CR,M_1pyr5c_c + 2 M_h_c + M_nadph_c => M_nadp_c + M_pro__L_c,R01251,R01251,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_P5CRx,M_1pyr5c_c + 2 M_h_c + M_nadh_c => M_nad_c + M_pro__L_c,R01248,R01248,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PANTS,M_ala_B_c + M_atp_c + M_pant__R_c => M_amp_c + M_h_c + M_pnto__R_c + M_ppi_c,R02473,R02473,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PAPSR,M_trdrd_c + M_paps_c => 2 M_h_c + M_so3_c + M_trdox_c + M_pap_c,R02021,R02021,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PDH,M_coa_c + M_nad_c + M_pyr_c => M_accoa_c + M_co2_c + M_nadh_c,R00209,R00209,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PDX5POi,M_o2_c + M_pdx5p_c => M_pydx5p_c + M_h2o2_c,R00278,R00278,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PERD,M_nad_c + M_4per_c <=> M_h_c + M_nadh_c + M_ohpb_c,R04210,R04210,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PGAMT,M_gam1p_c <=> M_gam6p_c,R02060,R02060,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PGCD,M_3pg_c + M_nad_c => M_3php_c + M_h_c + M_nadh_c,R01513,R01513,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PGK,M_3pg_c + M_atp_c <=> M_13dpg_c + M_adp_c,R01512,R01512,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PGL,M_h2o_c + M_6pgl_c => M_6pgc_c + M_h_c,R02035,R02035,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PGLYCP,M_h2o_c + M_2pglyc_c => M_pi_c + M_glyclt_c,R01334,R01334,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PGM,M_2pg_c <=> M_3pg_c,R01518,R01518,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PHETA1,M_akg_c + M_phe__L_c <=> M_glu__L_c + M_phpyr_c,R00694,R00694,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PHETRS,M_atp_c + M_phe__L_c + M_trnaphe_c => M_amp_c + M_phetrna_c + M_ppi_c,R03660,R03660,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PMDPHT,M_5aprbu_c + M_h2o_c => M_4r5au_c + M_pi_c,R07280,R07280,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PMEACPE,M_h2o_c + M_pmeACP_c => M_pimACP_c + M_meoh_c,R09725,R09725,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PNTK,M_atp_c + M_pnto__R_c => M_4ppan_c + M_adp_c + M_h_c,R03018,R03018,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPA,M_h2o_c + M_ppi_c => M_h_c + 2 M_pi_c,R00004,R00004,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPA2,M_h2o_c + M_pppi_c => M_h_c + M_pi_c + M_ppi_c,R00138,R00138,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPBNGS,2 M_5aop_c => M_h_c + 2 M_h2o_c + M_ppbng_c,R00036,R00036,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPC,M_co2_c + M_h2o_c + M_pep_c => M_h_c + M_oaa_c + M_pi_c,R00345,R00345,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPCDC,M_4ppcys_c + M_h_c => M_co2_c + M_pan4p_c,R03269,R03269,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPDK,M_atp_c + M_pi_c + M_pyr_c => M_amp_c + M_h_c + M_pep_c + M_ppi_c,R00206,R00206,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPGPPDP,M_h2o_c + M_ppgpp_c => M_gdp_c + M_ppi_c,R00336,R00336,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPNCL2,M_4ppan_c + M_ctp_c + M_cys__L_c => M_4ppcys_c + M_cmp_c + M_h_c + M_ppi_c,R04231,R04231,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPND,M_nad_c + M_pphn_c => M_34hpp_c + M_co2_c + M_nadh_c,R01728,R01728,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPNDH,M_h_c + M_pphn_c => M_co2_c + M_h2o_c + M_phpyr_c,R01373,R01373,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PPS,M_atp_c + M_h2o_c + M_pyr_c => M_amp_c + 2 M_h_c + M_pep_c + M_pi_c,R00199,R00199,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PRAGSr,M_atp_c + M_gly_c + M_pram_c => M_adp_c + M_gar_c + M_h_c + M_pi_c,R04144,R04144,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PRAIi,M_pran_c <=> M_2cpr5p_c,R03509,R03509,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PRAMPC,M_h2o_c + M_prbamp_c => M_prfp_c,R04037,R04037,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PRASCSi,M_5aizc_c + M_asp__L_c + M_atp_c <=> M_25aics_c + M_adp_c + M_h_c + M_pi_c,R04591,R04591,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PRATPP,M_h2o_c + M_prbatp_c => M_h_c + M_ppi_c + M_prbamp_c,R04035,R04035,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PRMICI,M_prfp_c <=> M_prlp_c,R04640,R04640,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PROTRS,M_atp_c + M_pro__L_c + M_trnapro_c => M_amp_c + M_ppi_c + M_protrna_c,R03661,R03661,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PRUK,M_atp_c + M_ru5p__D_c => M_adp_c + M_h_c + M_rb15bp_c,R01523,R01523,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PSCVT,M_pep_c + M_skm5p_c <=> M_3psme_c + M_pi_c,R03460,R03460,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PSERT,M_3php_c + M_glu__L_c => M_akg_c + M_pser__L_c,R04173,R04173,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PSP_L,M_h2o_c + M_pser__L_c => M_pi_c + M_ser__L_c,R00582,R00582,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PTA2,M_pi_c + M_ppcoa_c => M_coa_c + M_ppap_c,R00921,R00921,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PTAr,M_accoa_c + M_pi_c <=> M_actp_c + M_coa_c,R00230,R00230,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PTPATi,M_atp_c + M_h_c + M_pan4p_c => M_dpcoa_c + M_ppi_c,R03035,R03035,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PTRCTA,M_akg_c + M_ptrc_c => M_4abutn_c + M_glu__L_c,R01155,R01155,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PYK,M_adp_c + M_h_c + M_pep_c => M_atp_c + M_pyr_c,R00200,R00200,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PYK2,M_h_c + M_pep_c + M_udp_c => M_pyr_c + M_utp_c,R00659,R00659,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PYK3,M_gdp_c + M_h_c + M_pep_c => M_gtp_c + M_pyr_c,R00430,R00430,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_PYK4,M_cdp_c + M_h_c + M_pep_c => M_ctp_c + M_pyr_c,R00572,R00572,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_QULNS,M_dhap_c + M_iasp_c => 2 M_h2o_c + M_pi_c + M_quln_c,R04292,R04292,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RBCh,M_o2_c + M_rb15bp_c => M_3pg_c + 2 M_h_c + M_2pglyc_c,R03140,R03140,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RBFK,M_atp_c + M_ribflv_c => M_adp_c + M_fmn_c + M_h_c,R00549,R00549,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RBFSa,M_4r5au_c + M_db4p_c => M_dmlz_c + 2 M_h2o_c + M_pi_c,R04457,R04457,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RBFSb,2 M_dmlz_c => M_4r5au_c + M_ribflv_c,R00066,R00066,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RBPC,M_co2_c + M_h2o_c + M_rb15bp_c => 2 M_3pg_c + 2 M_h_c,R00024,R00024,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RNDR1,M_adp_c + M_trdrd_c => M_dadp_c + M_h2o_c + M_trdox_c,R02017,R02017,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RNDR2,M_gdp_c + M_trdrd_c => M_dgdp_c + M_h2o_c + M_trdox_c,R02019,R02019,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RNDR3,M_cdp_c + M_trdrd_c => M_dcdp_c + M_h2o_c + M_trdox_c,R02024,R02024,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RNDR4,M_trdrd_c + M_udp_c => M_dudp_c + M_h2o_c + M_trdox_c,R02018,R02018,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RNTR1,M_atp_c + M_trdrd_c => M_datp_c + M_h2o_c + M_trdox_c,R02014,R02014,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RNTR2,M_gtp_c + M_trdrd_c => M_dgtp_c + M_h2o_c + M_trdox_c,R02020,R02020,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RNTR3,M_ctp_c + M_trdrd_c => M_dctp_c + M_h2o_c + M_trdox_c,R02022,R02022,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RPE,M_ru5p__D_c <=> M_xu5p__D_c,R01529,R01529,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_RZ5PP,M_5prdmbz_c + M_h2o_c => M_pi_c + M_rdmbzi_c,R04594,R04594,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SBP,M_h2o_c + M_s17bp_c => M_pi_c + M_s7p_c,R01845,R01845,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SDPDS,M_h2o_c + M_sl26da_c => M_26dap_LL_c + M_succ_c,R02734,R02734,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SDPTA,M_akg_c + M_sl26da_c <=> M_glu__L_c + M_sl2a6o_c,R04475,R04475,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SELNPS,M_atp_c + M_h2o_c + M_seln_c => M_amp_c + M_pi_c + M_selnp_c,R03595,R03595,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SERAT,M_accoa_c + M_ser__L_c <=> M_acser_c + M_coa_c,R00586,R00586,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SERD_L,M_ser__L_c => M_nh4_c + M_pyr_c,R00220;R00223,R00220,2,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SERTRS,M_atp_c + M_ser__L_c + M_trnaser_c => M_amp_c + M_ppi_c + M_sertrna_c,R03662,R03662,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SFGTHi,M_h2o_c + M_Sfglutth_c => M_for_c + M_h_c + M_gthrd_c,R00527,R00527,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SHCHD2,M_dscl_c + M_nad_c => M_h_c + M_nadh_c + M_scl_c,R03947,R03947,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SHCHF,M_fe2_c + M_scl_c => 3 M_h_c + M_sheme_c,R02864,R02864,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SHK3Dr,M_3dhsk_c + M_h_c + M_nadph_c <=> M_nadp_c + M_skm_c,R02413,R02413,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SHKK,M_atp_c + M_skm_c => M_adp_c + M_h_c + M_skm5p_c,R02412,R02412,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SHSL2r,M_h2s_c + M_suchms_c <=> M_h_c + M_hcys__L_c + M_succ_c,R01288,R01288,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SPMS,M_ametam_c + M_ptrc_c => M_5mta_c + M_h_c + M_spmd_c,R01920,R01920,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SPODM,2 M_h_c + 2 M_o2s_c => M_o2_c + M_h2o2_c,R00275,R00275,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SSALx,M_h2o_c + M_nad_c + M_sucsal_c => 2 M_h_c + M_nadh_c + M_succ_c,R00713,R00713,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SSALy,M_h2o_c + M_nadp_c + M_sucsal_c => 2 M_h_c + M_nadph_c + M_succ_c,R00714,R00714,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SUCOAS,M_atp_c + M_coa_c + M_succ_c <=> M_adp_c + M_pi_c + M_succoa_c,R00405,R00405,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_SULR,5 M_h_c + 3 M_nadph_c + M_so3_c => 3 M_h2o_c + M_h2s_c + 3 M_nadp_c,R00858,R00858,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TALA,M_g3p_c + M_s7p_c <=> M_e4p_c + M_f6p_c,R01827,R01827,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TDPAGTA,M_dtdp4d6dg_c + M_glu__L_c => M_akg_c + M_dtdp4addg_c,R04438,R04438,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TDPDRE,M_dtdp4d6dg_c => M_dtdp4d6dm_c,R06514,R06514,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TDPDRR,M_dtdp4d6dm_c + M_h_c + M_nadph_c => M_dtdprmn_c + M_nadp_c,R02777,R02777,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TDPGDH,M_dtdpglu_c => M_dtdp4d6dg_c + M_h2o_c,R06513,R06513,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_THDPS,M_h2o_c + M_thdp_c + M_succoa_c => M_coa_c + M_sl2a6o_c,R04365,R04365,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_THFAT,M_h2o_c + M_methf_c => M_h_c + M_5fthf_c,R02300,R02300,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_THFGLUS,M_atp_c + M_glu__L_c + M_thf_c <=> M_adp_c + M_h_c + M_pi_c + M_thfglu_c,R00942,R00942,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_THRA,M_thr__L_c <=> M_acald_c + M_gly_c,R00751,R00751,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_THRD_L,M_thr__L_c => M_2obut_c + M_nh4_c,R00996,R00996,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_THRPDC,M_h_c + M_thrp_c => M_applp_c + M_co2_c,R06530,R06530,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_THRS,M_h2o_c + M_phom_c => M_pi_c + M_thr__L_c,R01466,R01466,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_THRTRS,M_atp_c + M_thr__L_c + M_trnathr_c => M_amp_c + M_ppi_c + M_thrtrna_c,R03663,R03663,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TKT2,M_e4p_c + M_xu5p__D_c <=> M_f6p_c + M_g3p_c,R01830,R01830,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TMDS,M_dump_c + M_mlthf_c => M_dhf_c + M_dtmp_c,R02101,R02101,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TMPK,M_atp_c + M_thmmp_c => M_adp_c + M_thmpp_c,R00617,R00617,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TMPPP,M_2mahmp_c + M_4mpetz_c + M_h_c => M_ppi_c + M_thmmp_c,R03223,R03223,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TPI,M_dhap_c <=> M_g3p_c,R01015,R01015,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TRDR,M_h_c + M_nadph_c + M_trdox_c => M_nadp_c + M_trdrd_c,R02016,R02016,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TRPS1,M_3ig3p_c + M_ser__L_c => M_g3p_c + M_h2o_c + M_trp__L_c,R02722,R02722,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TRPS2,M_indole_c + M_ser__L_c => M_h2o_c + M_trp__L_c,R00674,R00674,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TRPS3,M_3ig3p_c => M_g3p_c + M_indole_c,R02340,R02340,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TRSARr,M_2h3oppan_c + M_h_c + M_nadh_c <=> M_glyc__R_c + M_nad_c,R01745,R01745,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_TYRTA,M_akg_c + M_tyr__L_c <=> M_34hpp_c + M_glu__L_c,R00734,R00734,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UAG2E,M_uacgam_c <=> M_uacmam_c,R00420,R00420,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UAG2EMA,M_h2o_c + M_uacgam_c <=> M_acmana_c + M_h_c + M_udp_c,R00414,R00414,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UAGCVT,M_pep_c + M_uacgam_c => M_pi_c + M_uaccg_c,R00660,R00660,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UAGPT3,M_uacgam_c + M_uagmda_c => M_h_c + M_uaagmda_c + M_udp_c,R05032;R06174,R05032,2,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UAMAGS,M_atp_c + M_glu__D_c + M_uama_c => M_adp_c + M_h_c + M_pi_c + M_uamag_c,R02783,R02783,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UAMAS,M_ala__L_c + M_atp_c + M_uamr_c => M_adp_c + M_h_c + M_pi_c + M_uama_c,R03193,R03193,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UAPGR,M_h_c + M_nadph_c + M_uaccg_c => M_nadp_c + M_uamr_c,R03192,R03192,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UDPG4E,M_udpg_c <=> M_udpgal_c,R00291,R00291,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UDPGD,M_h2o_c + 2 M_nad_c + M_udpg_c => 3 M_h_c + 2 M_nadh_c + M_udpglcur_c,R00286,R00286,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UMPK,M_atp_c + M_ump_c <=> M_adp_c + M_udp_c,R00158,R00158,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UPP3MT,2 M_amet_c + M_uppg3_c => 2 M_ahcys_c + M_dscl_c + M_h_c,R03194,R03194,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UPP3S,M_hmbil_c => M_h2o_c + M_uppg3_c,R03165,R03165,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_UPPDC1,4 M_h_c + M_uppg3_c => 4 M_co2_c + M_cpppg3_c,R03197,R03197,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_URIDK2r,M_atp_c + M_dump_c <=> M_adp_c + M_dudp_c,R02098,R02098,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_VALTA,M_akg_c + M_val__L_c <=> M_3mob_c + M_glu__L_c,R01214,R01214,1,,chebi,5361,False,True,,0, +BIOMD0000001061,R_VALTRS,M_atp_c + M_trnaval_c + M_val__L_c => M_amp_c + M_ppi_c + M_valtrna_c,R03665,R03665,1,,chebi,5361,False,True,,0, +BIOMD0000001062,R_23PDE2pp,M_23cump_p + M_h2o_p => M_3ump_p + M_h_p,R03538,R03538,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_23PDE4pp,M_23ccmp_p + M_h2o_p => M_3cmp_p + M_h_p,R03929,R03929,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_23PDE7pp,M_23camp_p + M_h2o_p => M_3amp_p + M_h_p,R03537,R03537,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_23PDE9pp,M_23cgmp_p + M_h2o_p => M_3gmp_p + M_h_p,R05135,R05135,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_2DOXG6PP,M_2doxg6p_c + M_h2o_c => M_2dglc_c + M_pi_c,R02587,R02587,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3AMACHYD,M_3amac_c + M_h2o_c + M_h_c => M_msa_c + M_nh4_c,R09983,R09983,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3HAD100,M_3hdecACP_c => M_h2o_c + M_tdec2eACP_c,R04535,R04535,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3HAD120,M_3hddecACP_c => M_tddec2eACP_c + M_h2o_c,R04965,R04965,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3HAD140,M_3hmrsACP_c => M_h2o_c + M_tmrs2eACP_c,R04568,R04568,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3HAD160,M_3hpalmACP_c => M_h2o_c + M_tpalm2eACP_c,R04544,R04544,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3HAD180,M_3hoctaACP_c => M_h2o_c + M_toctd2eACP_c,R07764,R07764,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3HAD60,M_3hhexACP_c => M_thex2eACP_c + M_h2o_c,R04954,R04954,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3HAD80,M_3hoctACP_c => M_toct2eACP_c + M_h2o_c,R04537,R04537,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3KGK,M_3dhguln_c + M_atp_c => M_3dhgulnp_c + M_adp_c + M_h_c,R07127,R07127,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3NTD2pp,M_3ump_p + M_h2o_p => M_pi_p + M_uri_p,R01877,R01877,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3NTD4pp,M_3cmp_p + M_h2o_p => M_cytd_p + M_pi_p,R02370,R02370,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3NTD7pp,M_3amp_p + M_h2o_p => M_adn_p + M_pi_p,R01562,R01562,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3NTD9pp,M_3gmp_p + M_h2o_p => M_gsn_p + M_pi_p,R02148,R02148,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3OAR100,M_3odecACP_c + M_h_c + M_nadph_c <=> M_3hdecACP_c + M_nadp_c,R04534,R04534,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3OAR120,M_3oddecACP_c + M_h_c + M_nadph_c <=> M_3hddecACP_c + M_nadp_c,R04964,R04964,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3OAR140,M_3omrsACP_c + M_h_c + M_nadph_c <=> M_3hmrsACP_c + M_nadp_c,R04566,R04566,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3OAR160,M_3opalmACP_c + M_h_c + M_nadph_c <=> M_3hpalmACP_c + M_nadp_c,R04543,R04543,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3OAR60,M_3ohexACP_c + M_h_c + M_nadph_c <=> M_3hhexACP_c + M_nadp_c,R04953,R04953,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3OAR80,M_3ooctACP_c + M_h_c + M_nadph_c <=> M_3hoctACP_c + M_nadp_c,R04536,R04536,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_3OXCOAT,M_oxadpcoa_c + M_coa_c => M_accoa_c + M_succoa_c,R00829,R00829,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_4HTHRS,M_phthr_c + M_h2o_c => M_4hthr_c + M_pi_c,R05086,R05086,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_5DGLCNR,M_5dglcn_c + M_h_c + M_nadph_c => M_glcn_c + M_nadp_c,R01740,R01740,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_A5PISO,M_ru5p__D_c <=> M_ara5p_c,R01530,R01530,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AACTOOR,M_aact_c + M_h2o_c + M_o2_c => M_h2o2_c + M_mthgxl_c + M_nh4_c,R02529,R02529,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AATA,M_2oxoadp_c + M_glu__L_c <=> M_L2aadp_c + M_akg_c,R01939,R01939,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ABTA,M_4abut_c + M_akg_c => M_sucsal_c + M_glu__L_c,R01648,R01648,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ABUTD,M_4abutn_c + M_h2o_c + M_nad_c => M_4abut_c + 2 M_h_c + M_nadh_c,R02549,R02549,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACACCT,M_acac_c + M_accoa_c => M_aacoa_c + M_ac_c,R01359,R01359,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACACT1r,2 M_accoa_c <=> M_aacoa_c + M_coa_c,R00238,R00238,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACACT2r,M_accoa_c + M_btcoa_c <=> M_3ohcoa_c + M_coa_c,R01177,R01177,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACACT4r,M_occoa_c + M_accoa_c <=> M_3odcoa_c + M_coa_c,R03778,R03778,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACACT6r,M_ddcacoa_c + M_accoa_c <=> M_3otdcoa_c + M_coa_c,R03858,R03858,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACACT7r,M_tdcoa_c + M_accoa_c <=> M_3ohdcoa_c + M_coa_c,R03991,R03991,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACALD,M_acald_c + M_nad_c + M_coa_c <=> M_nadh_c + M_accoa_c + M_h_c,R00228,R00228,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACBIPGT,M_adocbip_c + M_gtp_c + M_h_c => M_agdpcbi_c + M_ppi_c,R05222,R05222,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACCOAC,M_accoa_c + M_atp_c + M_hco3_c => M_malcoa_c + M_adp_c + M_h_c + M_pi_c,R00742,R00742,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACGAMK,M_acgam_c + M_atp_c => M_acgam6p_c + M_adp_c + M_h_c,R01201,R01201,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACGK,M_acglu_c + M_atp_c => M_acg5p_c + M_adp_c,R02649,R02649,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACGS,M_accoa_c + M_glu__L_c => M_acglu_c + M_coa_c + M_h_c,R00259,R00259,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACHBS,M_2obut_c + M_h_c + M_pyr_c => M_2ahbut_c + M_co2_c,R08648,R08648,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACKr,M_ac_c + M_atp_c <=> M_actp_c + M_adp_c,R00315,R00315,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACLS,M_h_c + 2 M_pyr_c => M_alac__S_c + M_co2_c,R00226,R00226,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACM6PH,M_acmum6p_c + M_h2o_c => M_lac__D_c + M_acgam6p_c,R08555,R08555,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACMAMUT,M_unaga_c + M_uacmamu_c => M_unagamu_c + M_h_c + M_udp_c,R04477,R04477,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACNML,M_acnam_c => M_acmana_c + M_pyr_c,R01811,R01811,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACOAD1f,M_btcoa_c + M_fad_c => M_b2coa_c + M_fadh2_c,R01175,R01175,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACOAD3f,M_fad_c + M_occoa_c <=> M_fadh2_c + M_oc2coa_c,R03777,R03777,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACOAD5f,M_ddcacoa_c + M_fad_c <=> M_dd2coa_c + M_fadh2_c,R03857,R03857,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACOAD6f,M_fad_c + M_tdcoa_c <=> M_fadh2_c + M_td2coa_c,R03990,R03990,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACOAD7f,M_fad_c + M_pmtcoa_c <=> M_fadh2_c + M_hdd2coa_c,R01279,R01279,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACOATA,M_ACP_c + M_accoa_c <=> M_acACP_c + M_coa_c,R01624,R01624,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACODA,M_acorn_c + M_h2o_c => M_orn_c + M_ac_c,R00669,R00669,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACONIs,M_acon_T_c <=> M_acon_C_c,R02244,R02244,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACONMT,M_acon_T_c + M_amet_c => M_aconm_c + M_ahcys_c,R05763,R05763,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACONTa,M_cit_c <=> M_acon_C_c + M_h2o_c,R01325,R01325,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACONTb,M_acon_C_c + M_h2o_c <=> M_icit_c,R01900,R01900,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACOTA,M_acorn_c + M_akg_c <=> M_acg5sa_c + M_glu__L_c,R02283,R02283,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACP1_FMN,M_fmn_c + M_h2o_c => M_pi_c + M_ribflv_c,R00548,R00548,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ACS,M_ac_c + M_atp_c + M_coa_c => M_amp_c + M_accoa_c + M_ppi_c,R00235,R00235,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADA,M_adn_c + M_h2o_c + M_h_c => M_ins_c + M_nh4_c,R01560,R01560,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADCL,M_4adcho_c => M_4abz_c + M_h_c + M_pyr_c,R05553,R05553,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADCS,M_chor_c + M_gln__L_c => M_4adcho_c + M_glu__L_c,R01716,R01716,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADD,M_ade_c + M_h2o_c + M_h_c => M_hxan_c + M_nh4_c,R01244,R01244,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADK1,M_amp_c + M_atp_c <=> 2 M_adp_c,R00127,R00127,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADMDC,M_amet_c + M_h_c => M_ametam_c + M_co2_c,R00178,R00178,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADNCYC,M_atp_c => M_camp_c + M_ppi_c,R00089,R00089,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADNK1,M_adn_c + M_atp_c => M_adp_c + M_amp_c + M_h_c,R00185,R00185,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADNUC,M_adn_c + M_h2o_c => M_ade_c + M_rib__D_c,R01245,R01245,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADOCBIK,M_adocbi_c + M_atp_c => M_adocbip_c + M_adp_c + M_h_c,R05221,R05221,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADOCBLS,M_agdpcbi_c + M_rdmbzi_c => M_adocbl_c + M_gmp_c + M_h_c,R05223,R05223,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADPT,M_ade_c + M_prpp_c => M_amp_c + M_ppi_c,R00190,R00190,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADSK,M_aps_c + M_atp_c => M_adp_c + M_h_c + M_paps_c,R00509,R00509,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADSL1r,M_dcamp_c <=> M_amp_c + M_fum_c,R01083,R01083,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADSL2r,M_25aics_c <=> M_aicar_c + M_fum_c,R04559,R04559,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ADSS,M_asp__L_c + M_gtp_c + M_imp_c => M_dcamp_c + M_gdp_c + 2 M_h_c + M_pi_c,R01135,R01135,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AGDC,M_acgam6p_c + M_h2o_c => M_ac_c + M_gam6p_c,R02059,R02059,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AGMHE,M_adphep_DD_c => M_adphep_LD_c,R05176,R05176,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AGMT,M_agm_c + M_h2o_c => M_urea_c + M_ptrc_c,R01157,R01157,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AGPR,M_acg5sa_c + M_nadp_c + M_pi_c <=> M_acg5p_c + M_h_c + M_nadph_c,R03443,R03443,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AHCYSNS,M_ahcys_c + M_h2o_c => M_ade_c + M_rhcys_c,R00194,R00194,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AICART,M_10fthf_c + M_aicar_c <=> M_fprica_c + M_thf_c,R04560,R04560,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AIRC3,M_5aizc_c <=> M_5caiz_c,R07405,R07405,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AKGDH,M_akg_c + M_coa_c + M_nad_c => M_co2_c + M_nadh_c + M_succoa_c,R08549,R08549,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AKGDH2,M_akg_c + M_coa_c + M_nad_c => M_co2_c + M_nadh_c + M_succoa_c,R08549,R08549,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALAALAr,2 M_ala__D_c + M_atp_c <=> M_adp_c + M_alaala_c + M_h_c + M_pi_c,R01150,R01150,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALAGLUE,M_LalaDglu_c <=> M_LalaLglu_c,R10938,R10938,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALAR,M_ala__L_c <=> M_ala__D_c,R00401,R00401,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALATA_D2,M_ala__D_c + M_pydx5p_c => M_pyam5p_c + M_pyr_c,R01147,R01147,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALATA_L,M_akg_c + M_ala__L_c <=> M_glu__L_c + M_pyr_c,R00258,R00258,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALCD19,M_glyald_c + M_h_c + M_nadh_c <=> M_glyc_c + M_nad_c,R01036,R01036,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALCD2x,M_etoh_c + M_nad_c <=> M_acald_c + M_h_c + M_nadh_c,R00754,R00754,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALDD2y,M_acald_c + M_h2o_c + M_nadp_c => M_ac_c + 2 M_h_c + M_nadph_c,R00711,R00711,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALKP,M_dhap_c + M_h2o_c => M_dha_c + M_pi_c,R01010,R01010,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALLK,M_all__D_c + M_atp_c => M_adp_c + M_all6p_c + M_h_c,R03576,R03576,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALLPI,M_all6p_c <=> M_allul6p_c,R09030,R09030,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALLULPE,M_allul6p_c <=> M_f6p_c,R09031,R09031,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALR2,M_h_c + M_mthgxl_c + M_nadph_c => M_acetol_c + M_nadp_c,R02528,R02528,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ALTRH,M_altrn_c => M_2ddglcn_c + M_h2o_c,R01540,R01540,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AMANAPEr,M_acmanap_c <=> M_acgam6p_c,R02087,R02087,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AMANK,M_acmana_c + M_atp_c => M_acmanap_c + M_adp_c + M_h_c,R02705,R02705,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AMAOTr,M_8aonn_c + M_amet_c <=> M_amob_c + M_dann_c,R03231,R03231,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AMPTASECG,M_cgly_c + M_h2o_c => M_cys__L_c + M_gly_c,R00899,R00899,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ANPRT,M_anth_c + M_prpp_c => M_pran_c + M_ppi_c,R01073,R01073,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ANS,M_chor_c + M_gln__L_c => M_anth_c + M_glu__L_c + M_h_c + M_pyr_c,R00986,R00986,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AOBUTDs,M_2aobut_c + M_h_c => M_aact_c + M_co2_c,R03758,R03758,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AOXSr,M_pmcoa_c + M_ala__L_c + M_h_c => M_8aonn_c + M_co2_c + M_coa_c,R03210,R03210,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AOXSr2,M_pimACP_c + M_ala__L_c => M_8aonn_c + M_ACP_c + M_co2_c,R10124,R10124,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AP4AH,M_ap4a_c + M_h2o_c => 2 M_adp_c + 2 M_h_c,R00125,R00125,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AP5AH,M_ap5a_c + M_h2o_c => M_adp_c + M_atp_c + 2 M_h_c,R09880,R09880,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_APCS,M_15dap_c + M_ametam_c => M_na15dap_c + M_5mta_c + M_h_c,R08359,R08359,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_APPLDHr,M_aact_c + M_h_c + M_nadh_c <=> M_appl_c + M_nad_c,R03759,R03759,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_APRAUR,M_5apru_c + M_h_c + M_nadph_c => M_5aprbu_c + M_nadp_c,R03458,R03458,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ARABDI,M_arab__D_c <=> M_rbl__D_c,R01577,R01577,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ARGDC,M_arg__L_c + M_h_c => M_agm_c + M_co2_c,R00566,R00566,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ARGDCpp,M_arg__L_p + M_h_p => M_agm_p + M_co2_p,R00566,R00566,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ARGDr,M_arg__L_c + M_h2o_c => M_citr__L_c + M_nh4_c,R00552,R00552,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ARGSL,M_argsuc_c <=> M_arg__L_c + M_fum_c,R01086,R01086,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ARGSS,M_citr__L_c + M_asp__L_c + M_atp_c => M_argsuc_c + M_amp_c + M_h_c + M_ppi_c,R01954,R01954,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ARGTRS,M_trnaarg_c + M_arg__L_c + M_atp_c => M_argtrna_c + M_amp_c + M_ppi_c,R03646,R03646,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASAD,M_aspsa_c + M_nadp_c + M_pi_c <=> M_4pasp_c + M_h_c + M_nadph_c,R02291,R02291,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASCBPL,M_ascb6p_c + M_h2o_c => M_3dhgulnp_c + M_h_c,R07677,R07677,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASNN,M_asn__L_c + M_h2o_c => M_asp__L_c + M_nh4_c,R00485,R00485,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASNNpp,M_asn__L_p + M_h2o_p => M_asp__L_p + M_nh4_p,R00485,R00485,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASNS1,M_asp__L_c + M_atp_c + M_gln__L_c + M_h2o_c => M_amp_c + M_asn__L_c + M_glu__L_c + M_h_c + M_ppi_c,R00578,R00578,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASNS2,M_asp__L_c + M_atp_c + M_nh4_c => M_amp_c + M_asn__L_c + M_h_c + M_ppi_c,R00483,R00483,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASNTRS,M_trnaasn_c + M_asn__L_c + M_atp_c => M_asntrna_c + M_amp_c + M_ppi_c,R03648,R03648,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASP1DC,M_asp__L_c + M_h_c => M_ala_B_c + M_co2_c,R00489,R00489,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASPCT,M_cbp_c + M_asp__L_c => M_cbasp_c + M_h_c + M_pi_c,R01397,R01397,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASPK,M_asp__L_c + M_atp_c <=> M_4pasp_c + M_adp_c,R00480,R00480,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASPO6,M_asp__L_c + M_o2_c => M_h2o2_c + M_h_c + M_iasp_c,R00481,R00481,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASPT,M_asp__L_c => M_fum_c + M_nh4_c,R00490,R00490,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASPTA,M_asp__L_c + M_akg_c <=> M_glu__L_c + M_oaa_c,R00355,R00355,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ASPTRS,M_trnaasp_c + M_asp__L_c + M_atp_c => M_asptrna_c + M_amp_c + M_ppi_c,R05577,R05577,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_AST,M_succoa_c + M_arg__L_c => M_sucarg_c + M_coa_c + M_h_c,R00832,R00832,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ATHRDHr,M_athr__L_c + M_nadp_c <=> M_2aobut_c + M_h_c + M_nadph_c,R10851,R10851,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ATPHs,M_atp_c + M_h2o_c + M_h_c => M_itp_c + M_nh4_c,R00088,R00088,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ATPM,M_atp_c + M_h2o_c => M_adp_c + M_h_c + M_pi_c,R00086,R00086,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ATPPRT,M_atp_c + M_prpp_c => M_prbatp_c + M_ppi_c,R01071,R01071,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_BDH,M_bhb_c + M_nad_c <=> M_acac_c + M_h_c + M_nadh_c,R01361,R01361,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_BETALDHx,M_betald_c + M_h2o_c + M_nad_c => M_glyb_c + 2 M_h_c + M_nadh_c,R02565,R02565,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_BETALDHy,M_betald_c + M_h2o_c + M_nadp_c => M_glyb_c + 2 M_h_c + M_nadph_c,R02566,R02566,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_BPNT,M_h2o_c + M_pap_c => M_amp_c + M_pi_c,R00188,R00188,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_BSORy,M_btnso_c + M_h_c + M_nadph_c => M_btn_c + M_h2o_c + M_nadp_c,R10127,R10127,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CAT,2 M_h2o2_c => 2 M_h2o_c + M_o2_c,R00009,R00009,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CBLAT,M_atp_c + M_cbl1_c + M_h_c <=> M_adocbl_c + M_pppi_c,R01492,R01492,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CBMD,M_cbm_c + 2 M_h_c => M_co2_c + M_nh4_c,R07316,R07316,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CBMKr,M_atp_c + M_co2_c + M_nh4_c <=> M_adp_c + M_cbp_c + 2 M_h_c,R00150,R00150,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CBPS,2 M_atp_c + M_gln__L_c + M_h2o_c + M_hco3_c => 2 M_adp_c + M_cbp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00575,R00575,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CCGS,M_cdg_c + M_atp_c + M_nh4_c => M_preq0_c + M_adp_c + M_h2o_c + M_h_c + M_pi_c,R09978,R09978,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CDGR,3 M_h_c + 2 M_nadph_c + M_preq0_c => M_preq1_c + 2 M_nadp_c,R07605,R07605,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CDGS,M_cph4_c + M_h_c => M_cdg_c + M_nh4_c,R10002,R10002,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CDPMEK,M_4c2me_c + M_atp_c => M_2p4c2me_c + M_adp_c + M_h_c,R05634,R05634,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CDPPH,M_cdp_c + M_h2o_c => M_cmp_c + M_h_c + M_pi_c,R00514,R00514,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CHOLD,M_chol_c + M_nad_c => M_betald_c + M_h_c + M_nadh_c,R08557,R08557,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CHORM,M_chor_c => M_pphn_c,R01715,R01715,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CHORS,M_3psme_c => M_chor_c + M_pi_c,R01714,R01714,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CHRPL,M_chor_c => M_4hbz_c + M_pyr_c,R01302,R01302,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CITL,M_cit_c => M_ac_c + M_oaa_c,R00362,R00362,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CLB6PH,M_cellb6p_c => M_g6p_c + M_glc__D_c,R00839;R06112,R00839,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CPH4S,M_ahdt_c + M_h2o_c => M_acald_c + M_cph4_c + M_h_c + M_pppi_c,R09959,R09959,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CPPPGO,M_cpppg3_c + M_o2_c + 2 M_h_c => M_pppg9_c + 2 M_co2_c + 2 M_h2o_c,R03220,R03220,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CPPPGO2,2 M_amet_c + M_cpppg3_c => 2 M_dad_5_c + 2 M_co2_c + 2 M_met__L_c + M_pppg9_c,R06895,R06895,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CRNBTCT,M_bbtcoa_c + M_crn_c <=> M_crncoa_c + M_gbbtn_c,R10644,R10644,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CRNCBCT,M_ctbtcoa_c + M_crn_c <=> M_ctbt_c + M_crncoa_c,R10643,R10643,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CRNCDH,M_crncoa_c <=> M_ctbtcoa_c + M_h2o_c,R10675,R10675,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CS,M_accoa_c + M_oaa_c + M_h2o_c => M_cit_c + M_coa_c + M_h_c,R00351,R00351,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CSND,M_csn_c + M_h2o_c + M_h_c => M_nh4_c + M_ura_c,R00974,R00974,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CTPS2,M_atp_c + M_gln__L_c + M_h2o_c + M_utp_c => M_adp_c + M_ctp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00573,R00573,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYANST,M_cyan_c + M_tsul_c => M_so3_c + M_tcynt_c + M_h_c,R01931,R01931,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYANSTpp,M_cyan_p + M_tsul_p => M_so3_p + M_tcynt_p + M_h_p,R01931,R01931,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYSDDS,M_cys__D_c + M_h2o_c => M_h2s_c + M_nh4_c + M_pyr_c,R01874,R01874,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYSDS,M_cys__L_c + M_h2o_c => M_h2s_c + M_nh4_c + M_pyr_c,R00782,R00782,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYSS,M_acser_c + M_h2s_c => M_ac_c + M_cys__L_c + M_h_c,R00897,R00897,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYSSADS,M_3sala_c + 2 M_h_c => M_so2_c + M_ala__L_c,R00863,R00863,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYSTA,M_akg_c + M_cys__L_c => M_glu__L_c + M_mercppyr_c,R00895;R00896,R00895,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYSTL,M_cyst__L_c + M_h2o_c => M_hcys__L_c + M_nh4_c + M_pyr_c,R01286,R01286,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYSTRS,M_trnacys_c + M_atp_c + M_cys__L_c => M_cystrna_c + M_amp_c + M_ppi_c,R03650,R03650,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYTD,M_cytd_c + M_h2o_c + M_h_c => M_nh4_c + M_uri_c,R01878,R01878,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYTDH,M_cytd_c + M_h2o_c => M_csn_c + M_rib__D_c,R02137,R02137,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYTDK1,M_atp_c + M_cytd_c => M_adp_c + M_cmp_c + M_h_c,R00513,R00513,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYTDK2,M_cytd_c + M_gtp_c => M_cmp_c + M_gdp_c + M_h_c,R00517,R00517,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYTK1,M_atp_c + M_cmp_c <=> M_adp_c + M_cdp_c,R00512,R00512,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_CYTK2,M_atp_c + M_dcmp_c <=> M_adp_c + M_dcdp_c,R01665,R01665,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_D5KGPA,M_d5kgp_c => M_dhap_c + M_msa_c,R05378,R05378,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DADA,M_dad_2_c + M_h2o_c + M_h_c => M_din_c + M_nh4_c,R02556,R02556,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DADK,M_atp_c + M_damp_c <=> M_adp_c + M_dadp_c,R01547,R01547,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DADK_copy1,M_damp_c + M_atp_c <=> M_dadp_c + M_adp_c,R01547,R01547,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DADK_copy2,M_atp_c + M_damp_c <=> M_adp_c + M_dadp_c,R01547,R01547,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DAPAL,M_23dappa_c + M_h2o_c => 2 M_nh4_c + M_pyr_c,R00195,R00195,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DAPDC,M_26dap__M_c + M_h_c => M_co2_c + M_lys__L_c,R00451,R00451,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DAPE,M_26dap_LL_c <=> M_26dap__M_c,R02735,R02735,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DB4PS,M_ru5p__D_c => M_db4p_c + M_for_c + M_h_c,R07281,R07281,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DBTS,M_dann_c + M_atp_c + M_co2_c => M_dtbt_c + M_adp_c + 3 M_h_c + M_pi_c,R03182,R03182,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DCTPD,M_dctp_c + M_h2o_c + M_h_c => M_dutp_c + M_nh4_c,R02325,R02325,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DCYTD,M_dcyt_c + M_h2o_c + M_h_c => M_duri_c + M_nh4_c,R02485,R02485,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DDGALK,M_2dh3dgal_c + M_atp_c => M_2dh3dgal6p_c + M_adp_c + M_h_c,R03387,R03387,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DDGLK,M_2ddglcn_c + M_atp_c => M_2ddg6p_c + M_adp_c + M_h_c,R01541,R01541,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DDPA,M_e4p_c + M_h2o_c + M_pep_c => M_2dda7p_c + M_pi_c,R01826,R01826,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DDPGALA,M_2dh3dgal6p_c <=> M_g3p_c + M_pyr_c,R01064,R01064,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DGK1,M_atp_c + M_dgmp_c <=> M_adp_c + M_dgdp_c,R02090,R02090,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHAD1,M_23dhmb_c => M_3mob_c + M_h2o_c,R04441,R04441,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHAD2,M_23dhmp_c => M_3mop_c + M_h2o_c,R05070,R05070,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHAPT,M_dha_c + M_pep_c => M_dhap_c + M_pyr_c,R01012,R01012,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHBD,M_23ddhb_c + M_nad_c <=> M_23dhb_c + M_h_c + M_nadh_c,R01505,R01505,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHBS,M_23dhb_c + M_atp_c + M_h_c => M_23dhba_c + M_ppi_c,R01504,R01504,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHFR,M_dhf_c + M_h_c + M_nadph_c <=> M_nadp_c + M_thf_c,R00939,R00939,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHFS,M_dhpt_c + M_atp_c + M_glu__L_c => M_adp_c + M_dhf_c + M_h_c + M_pi_c,R02237,R02237,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHNPA2r,M_dhnpt_c <=> M_6hmhpt_c + M_gcald_c,R03504,R03504,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHORDfum,M_dhor__S_c + M_fum_c => M_orot_c + M_succ_c,R01867,R01867,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHORTS,M_dhor__S_c + M_h2o_c <=> M_cbasp_c + M_h_c,R01993,R01993,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHPPDA2,M_25drapp_c + M_h2o_c + M_h_c => M_5apru_c + M_nh4_c,R03459,R03459,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHPS2,M_4abz_c + M_6hmhptpp_c => M_dhpt_c + M_ppi_c,R03067,R03067,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHPTDNR,M_dhptdn_c + 3 M_h_c + M_nadph_c => M_thptdn_c + M_nadp_c,R07355,R07355,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHPTDNRN,M_dhptdn_c + 3 M_h_c + M_nadh_c => M_nad_c + M_thptdn_c,R07354,R07354,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHQS,M_2dda7p_c => M_3dhq_c + M_pi_c,R03083,R03083,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DHQTi,M_3dhq_c => M_3dhsk_c + M_h2o_c,R03084,R03084,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DKFPS2,M_fdp_c + M_mthgxl_c => M_dkfp_c + M_g3p_c,R10049,R10049,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DKGLCNR2y,M_25dkglcn_c + M_h_c + M_nadph_c => M_5dglcn_c + M_nadp_c,R08879,R08879,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DMALRED,M_fad_c + M_mal__L_c => M_fadh2_c + M_oaa_c,R01257,R01257,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DMATT,M_dmpp_c + M_ipdp_c => M_grdp_c + M_ppi_c,R01658,R01658,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DNMPPA,M_dhpmp_c + M_h2o_c => M_dhnpt_c + M_pi_c,R04621,R04621,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DNTPPA,M_ahdt_c + M_h2o_c => M_dhpmp_c + M_h_c + M_ppi_c,R04638,R04638,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DOGULNR,M_23doguln_c + M_h_c + M_nadh_c => M_3dhguln_c + M_nad_c,R02637,R02637,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DPCOAK,M_atp_c + M_dpcoa_c => M_adp_c + M_coa_c + M_h_c,R00130,R00130,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DPR,M_2dhp_c + M_h_c + M_nadph_c => M_pant__R_c + M_nadp_c,R02472,R02472,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DRBK,M_drib_c + M_atp_c => M_2dr5p_c + M_adp_c + M_h_c,R02750,R02750,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DRPA,M_2dr5p_c => M_acald_c + M_g3p_c,R01066,R01066,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DTARTD,M_tartr__D_c => M_h2o_c + M_oaa_c,R00340,R00340,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DTMPK,M_atp_c + M_dtmp_c <=> M_adp_c + M_dtdp_c,R02094,R02094,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DURADx,M_56dura_c + M_nad_c <=> M_h_c + M_nadh_c + M_ura_c,R00977,R00977,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DURIK1,M_atp_c + M_duri_c => M_adp_c + M_dump_c + M_h_c,R02099,R02099,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DURIPP,M_duri_c + M_pi_c <=> M_2dr1p_c + M_ura_c,R02484,R02484,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DUTPDP,M_dutp_c + M_h2o_c => M_dump_c + M_h_c + M_ppi_c,R02100,R02100,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DXPRIi,M_dxyl5p_c + M_h_c + M_nadph_c => M_2me4p_c + M_nadp_c,R05688,R05688,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_DXPS,M_g3p_c + M_h_c + M_pyr_c => M_dxyl5p_c + M_co2_c,R05636,R05636,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_E4PD,M_e4p_c + M_h2o_c + M_nad_c <=> M_4per_c + 2 M_h_c + M_nadh_c,R01825,R01825,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ECOAH1,M_3hbcoa_c <=> M_b2coa_c + M_h2o_c,R03026,R03026,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ECOAH2,M_3hhcoa_c <=> M_hx2coa_c + M_h2o_c,R04749,R04749,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ECOAH3,M_3hocoa_c <=> M_oc2coa_c + M_h2o_c,R04746,R04746,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ECOAH4,M_3hdcoa_c <=> M_dc2coa_c + M_h2o_c,R04744,R04744,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ECOAH5,M_3hddcoa_c <=> M_dd2coa_c + M_h2o_c,R04170,R04170,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ECOAH6,M_3htdcoa_c <=> M_td2coa_c + M_h2o_c,R04740,R04740,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ECOAH7,M_3hhdcoa_c <=> M_hdd2coa_c + M_h2o_c,R04738,R04738,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_EDA,M_2ddg6p_c => M_g3p_c + M_pyr_c,R05605,R05605,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_EDD,M_6pgc_c => M_2ddg6p_c + M_h2o_c,R02036,R02036,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_EGMEACPR,M_egmeACP_c + M_h_c + M_nadph_c => M_gmeACP_c + M_nadp_c,R10118,R10118,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ENO,M_2pg_c <=> M_h2o_c + M_pep_c,R00658,R00658,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_EPMEACPR,M_epmeACP_c + M_h_c + M_nadph_c => M_pmeACP_c + M_nadp_c,R10122,R10122,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ETHAAL,M_etha_c => M_acald_c + M_nh4_c,R00749,R00749,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FACOAE160,M_h2o_c + M_pmtcoa_c => M_coa_c + M_h_c + M_hdca_c,R01274,R01274,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FACOAE180,M_h2o_c + M_stcoa_c => M_coa_c + M_h_c + M_ocdca_c,R08174,R08174,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FADRx,M_fad_c + M_h_c + M_nadh_c => M_fadh2_c + M_nad_c,R09748,R09748,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FADRx2,M_fad_c + M_h_c + M_nadph_c => M_fadh2_c + M_nadp_c,R09520,R09520,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FALDH2,M_hmgth_c + M_nad_c <=> M_Sfglutth_c + M_h_c + M_nadh_c,R06983,R06983,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FALGTHLs,M_fald_c + M_gthrd_c <=> M_hmgth_c,R06982,R06982,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FBA,M_fdp_c <=> M_g3p_c + M_dhap_c,R01068,R01068,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FBA3,M_s17bp_c <=> M_dhap_c + M_e4p_c,R01829,R01829,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FCLK,M_atp_c + M_fcl__L_c => M_fc1p_c + M_adp_c + M_h_c,R03241,R03241,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FCLPA,M_fc1p_c <=> M_dhap_c + M_lald__L_c,R02262,R02262,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FCLT,M_fe2_c + M_ppp9_c => 2 M_h_c + M_pheme_c,R00310,R00310,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FDMO2,M_fmnh2_c + M_mso3_c + M_o2_c => M_fald_c + M_fmn_c + M_h2o_c + M_h_c + M_so3_c,R10206,R10206,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FEROpp,4 M_fe2_p + 4 M_h_p + M_o2_p => 4 M_fe3_p + 2 M_h2o_p,R00078,R00078,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FLDR,M_fldox_c + M_h_c + M_nadph_c => M_fldrd_c + M_nadp_c,R11485,R11485,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FLVR,M_h_c + M_nadph_c + M_ribflv_c => M_nadp_c + M_rbflvrd_c,R05707,R05707,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FLVRx,M_h_c + M_nadh_c + M_ribflv_c => M_nad_c + M_rbflvrd_c,R09750,R09750,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FMETTRS,M_mettrna_c + M_10fthf_c => M_fmettrna_c + M_h_c + M_thf_c,R03940,R03940,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FMNAT,M_atp_c + M_fmn_c + M_h_c => M_fad_c + M_ppi_c,R00161,R00161,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FMNRx,M_fmn_c + M_h_c + M_nadh_c => M_fmnh2_c + M_nad_c,R05705,R05705,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FMNRx2,M_fmn_c + M_h_c + M_nadph_c => M_fmnh2_c + M_nadp_c,R05706,R05706,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FOMETRi,M_5fthf_c + M_h_c => M_h2o_c + M_methf_c,R02300,R02300,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FORCT,M_forcoa_c + M_oxa_c <=> M_for_c + M_oxalcoa_c,R07290,R07290,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FTHFD,M_10fthf_c + M_h2o_c => M_thf_c + M_for_c + M_h_c,R00944,R00944,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FTHFLi,M_atp_c + M_for_c + M_thf_c => M_10fthf_c + M_adp_c + M_pi_c,R00943,R00943,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_FUM,M_fum_c + M_h2o_c <=> M_mal__L_c,R01082,R01082,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G1PP,M_g1p_c + M_h2o_c => M_glc__D_c + M_pi_c,R00304,R00304,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G1PPpp,M_g1p_p + M_h2o_p => M_glc__D_p + M_pi_p,R00304,R00304,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G1PTT,M_dttp_c + M_g1p_c + M_h_c => M_dtdpglu_c + M_ppi_c,R02328,R02328,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G1SAT,M_glu1sa_c <=> M_5aop_c,R02272,R02272,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G2PP,M_glyc2p_c + M_h2o_c => M_glyc_c + M_pi_c,R01043,R01043,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G2PPpp,M_glyc2p_p + M_h2o_p => M_glyc_p + M_pi_p,R01043,R01043,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G3PD2,M_glyc3p_c + M_nadp_c <=> M_dhap_c + M_h_c + M_nadph_c,R00844,R00844,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G3PT,M_glyc3p_c + M_h2o_c => M_glyc_c + M_pi_c,R00841,R00841,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G5SADs,M_glu5sa_c => M_1pyr5c_c + M_h2o_c + M_h_c,R03314,R03314,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G5SD,M_glu5p_c + M_h_c + M_nadph_c => M_glu5sa_c + M_nadp_c + M_pi_c,R03313,R03313,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G6PDA,M_gam6p_c + M_h2o_c => M_f6p_c + M_nh4_c,R00765,R00765,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G6PDH2r,M_g6p_c + M_nadp_c <=> M_6pgl_c + M_h_c + M_nadph_c,R00835,R00835,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_G6PP,M_g6p_c + M_h2o_c => M_glc__D_c + M_pi_c,R00303,R00303,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GALAM6PISO,M_galam6p_c + M_h2o_c => M_nh4_c + M_tag6p__D_c,R08365,R08365,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GALCTD,M_galct__D_c => M_5dh4dglc_c + M_h2o_c,R05608,R05608,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GALCTND,M_galctn__D_c => M_2dh3dgal_c + M_h2o_c,R03033,R03033,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GALKr,M_atp_c + M_gal_c <=> M_adp_c + M_gal1p_c + M_h_c,R01092,R01092,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GALUi,M_g1p_c + M_h_c + M_utp_c => M_ppi_c + M_udpg_c,R00289,R00289,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GAPD,M_g3p_c + M_nad_c + M_pi_c <=> M_13dpg_c + M_h_c + M_nadh_c,R01061,R01061,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GARFT,M_gar_c + M_10fthf_c <=> M_fgam_c + M_h_c + M_thf_c,R04325,R04325,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GCALDD,M_gcald_c + M_h2o_c + M_nad_c => M_glyclt_c + 2 M_h_c + M_nadh_c,R01333,R01333,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GDPMNP,M_gdpmann_c + M_h2o_c => M_gmp_c + 2 M_h_c + M_man1p_c,R00881,R00881,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GHBDHx,M_h_c + M_nadh_c + M_sucsal_c <=> M_ghb_c + M_nad_c,R01644,R01644,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GHMT2r,M_ser__L_c + M_thf_c <=> M_gly_c + M_h2o_c + M_mlthf_c,R00945,R00945,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GK1,M_atp_c + M_gmp_c <=> M_adp_c + M_gdp_c,R00332,R00332,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLCOAS,M_atp_c + M_coa_c + M_glutar_c => M_glutcoa_c + M_adp_c + M_pi_c,R02402,R02402,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLCRAL,M_5dh4dglc_c => M_2h3oppan_c + M_pyr_c,R02754,R02754,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLCRD,M_glcr_c => M_5dh4dglc_c + M_h2o_c,R02752,R02752,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLGC,M_g1p_c + M_atp_c + M_h_c => M_adpglc_c + M_ppi_c,R00948,R00948,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLNS,M_atp_c + M_glu__L_c + M_nh4_c => M_adp_c + M_gln__L_c + M_h_c + M_pi_c,R00253,R00253,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLNTRS,M_trnagln_c + M_atp_c + M_gln__L_c => M_glntrna_c + M_amp_c + M_ppi_c,R03652,R03652,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLTPD,M_galt1p_c + M_nad_c <=> M_h_c + M_nadh_c + M_tag6p__D_c,R05571,R05571,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLU5K,M_atp_c + M_glu__L_c => M_adp_c + M_glu5p_c,R00239,R00239,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUCYS,M_atp_c + M_cys__L_c + M_glu__L_c => M_glucys_c + M_adp_c + M_h_c + M_pi_c,R00894,R00894,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUDC,M_glu__L_c + M_h_c => M_4abut_c + M_co2_c,R00261,R00261,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUDy,M_glu__L_c + M_h2o_c + M_nadp_c <=> M_akg_c + M_h_c + M_nadph_c + M_nh4_c,R00248,R00248,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUN,M_gln__L_c + M_h2o_c => M_glu__L_c + M_nh4_c,R00256,R00256,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUNpp,M_gln__L_p + M_h2o_p => M_glu__L_p + M_nh4_p,R00256,R00256,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUPRT,M_gln__L_c + M_h2o_c + M_prpp_c => M_pram_c + M_glu__L_c + M_ppi_c,R01072,R01072,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUR,M_glu__D_c <=> M_glu__L_c,R00260,R00260,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUSy,M_akg_c + M_gln__L_c + M_h_c + M_nadph_c => 2 M_glu__L_c + M_nadp_c,R00114,R00114,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUTRR,M_glutrna_c + M_h_c + M_nadph_c => M_glu1sa_c + M_nadp_c + M_trnaglu_c,R04109,R04109,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLUTRS,M_trnaglu_c + M_atp_c + M_glu__L_c => M_glutrna_c + M_amp_c + M_ppi_c,R05578,R05578,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLXCL,2 M_glx_c + M_h_c => M_2h3oppan_c + M_co2_c,R00013,R00013,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYAT,M_accoa_c + M_gly_c <=> M_2aobut_c + M_coa_c,R00371,R00371,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYCDx,M_glyc_c + M_nad_c => M_dha_c + M_h_c + M_nadh_c,R01034,R01034,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYCK,M_atp_c + M_glyc__R_c => M_3pg_c + M_adp_c + M_h_c,R01514,R01514,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYCK2,M_atp_c + M_glyc__R_c => M_2pg_c + M_adp_c + M_h_c,R08572,R08572,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYCL,M_gly_c + M_nad_c + M_thf_c => M_co2_c + M_mlthf_c + M_nadh_c + M_nh4_c,R01221,R01221,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYCLTDx,M_glx_c + M_h_c + M_nadh_c => M_glyclt_c + M_nad_c,R00717,R00717,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYCLTDy,M_glx_c + M_h_c + M_nadph_c => M_glyclt_c + M_nadp_c,R00465,R00465,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYK,M_glyc_c + M_atp_c => M_glyc3p_c + M_adp_c + M_h_c,R00847,R00847,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYOX,M_h2o_c + M_lgt__S_c => M_gthrd_c + M_h_c + M_lac__D_c,R01736,R01736,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYOX3,M_h2o_c + M_mthgxl_c => M_h_c + M_lac__D_c,R09796,R09796,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GLYTRS,M_trnagly_c + M_atp_c + M_gly_c => M_glytrna_c + M_amp_c + M_ppi_c,R03654,R03654,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GMAND,M_gdpmann_c => M_gdpddman_c + M_h2o_c,R00888,R00888,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GMHEPAT,M_atp_c + M_gmhep1p_c + M_h_c => M_adphep_DD_c + M_ppi_c,R05644,R05644,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GMPR,M_gmp_c + 2 M_h_c + M_nadph_c => M_imp_c + M_nadp_c + M_nh4_c,R01134,R01134,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GMPS,M_atp_c + M_nh4_c + M_xmp_c => M_amp_c + M_gmp_c + 2 M_h_c + M_ppi_c,R01230,R01230,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GMPS2,M_atp_c + M_gln__L_c + M_h2o_c + M_xmp_c => M_amp_c + M_glu__L_c + M_gmp_c + 2 M_h_c + M_ppi_c,R01231,R01231,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GND,M_6pgc_c + M_nadp_c => M_co2_c + M_nadph_c + M_ru5p__D_c,R01528,R01528,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GNK,M_glcn_c + M_atp_c => M_6pgc_c + M_adp_c + M_h_c,R01737,R01737,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GPDDA1,M_g3pc_c + M_h2o_c => M_chol_c + M_glyc3p_c + M_h_c,R01030,R01030,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GPDDA1pp,M_g3pc_p + M_h2o_p => M_chol_p + M_glyc3p_p + M_h_p,R01030,R01030,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GPDDA2,M_g3pe_c + M_h2o_c => M_etha_c + M_glyc3p_c + M_h_c,R01470,R01470,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GPDDA2pp,M_g3pe_p + M_h2o_p => M_etha_p + M_glyc3p_p + M_h_p,R01470,R01470,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GPDDA5,M_g3pi_c + M_h2o_c => M_inost_c + M_glyc3p_c + M_h_c,R01193,R01193,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GPDDA5pp,M_g3pi_p + M_h2o_p => M_glyc3p_p + M_h_p + M_inost_p,R01193,R01193,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GRTT,M_grdp_c + M_ipdp_c => M_frdp_c + M_ppi_c,R02003,R02003,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GSNK,M_atp_c + M_gsn_c => M_adp_c + M_gmp_c + M_h_c,R01228,R01228,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GSPMDA,M_gtspmd_c + M_h2o_c => M_gthrd_c + M_spmd_c,R01918,R01918,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GSPMDS,M_atp_c + M_gthrd_c + M_spmd_c => M_adp_c + M_gtspmd_c + M_h_c + M_pi_c,R01917,R01917,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTHOr,M_gthox_c + M_h_c + M_nadph_c <=> 2 M_gthrd_c + M_nadp_c,R00115,R00115,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTHPi,2 M_gthrd_c + M_h2o2_c => M_gthox_c + 2 M_h2o_c,R00274,R00274,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTHPi_copy1,2 M_gthrd_c + M_h2o2_c => M_gthox_c + 2 M_h2o_c,R00274,R00274,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTHPi_copy2,2 M_gthrd_c + M_h2o2_c => M_gthox_c + 2 M_h2o_c,R00274,R00274,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTHRDHpp,M_gthrd_p + M_h2o_p => M_cgly_p + M_glu__L_p,R00494,R00494,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTHS,M_atp_c + M_glucys_c + M_gly_c => M_adp_c + M_gthrd_c + M_h_c + M_pi_c,R00497,R00497,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTPCI,M_gtp_c + M_h2o_c => M_ahdt_c + M_for_c + M_h_c,R00424,R00424,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTPCII2,M_gtp_c + 3 M_h2o_c => M_25drapp_c + M_for_c + 2 M_h_c + M_ppi_c,R00425,R00425,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTPDPDP,M_gdptp_c + M_h2o_c => M_h_c + M_pi_c + M_ppgpp_c,R03409,R03409,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GTPDPK,M_atp_c + M_gtp_c => M_gdptp_c + M_amp_c + M_h_c,R00429,R00429,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GUACYC,M_gtp_c => M_35cgmp_c + M_ppi_c,R00434,R00434,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GUAD,M_gua_c + M_h2o_c + M_h_c => M_nh4_c + M_xan_c,R01676,R01676,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GUAPRT,M_gua_c + M_prpp_c => M_gmp_c + M_ppi_c,R01229,R01229,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GUI1,M_glcur_c <=> M_fruur_c,R01482,R01482,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_GUI2,M_galur_c <=> M_tagur_c,R01983,R01983,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD1,M_aacoa_c + M_h_c + M_nadh_c <=> M_3hbcoa_c + M_nad_c,R01975,R01975,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD1i,M_3hbcoa_c + M_nad_c => M_aacoa_c + M_h_c + M_nadh_c,R01975,R01975,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD2,M_3ohcoa_c + M_h_c + M_nadh_c <=> M_3hhcoa_c + M_nad_c,R04748,R04748,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD2i,M_3hhcoa_c + M_nad_c => M_3ohcoa_c + M_h_c + M_nadh_c,R04748,R04748,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD3,M_3oocoa_c + M_h_c + M_nadh_c <=> M_3hocoa_c + M_nad_c,R04745,R04745,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD3i,M_3hocoa_c + M_nad_c => M_3oocoa_c + M_h_c + M_nadh_c,R04745,R04745,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD4,M_3odcoa_c + M_h_c + M_nadh_c <=> M_3hdcoa_c + M_nad_c,R04743,R04743,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD4i,M_3hdcoa_c + M_nad_c => M_3odcoa_c + M_h_c + M_nadh_c,R04743,R04743,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD5,M_3oddcoa_c + M_h_c + M_nadh_c <=> M_3hddcoa_c + M_nad_c,R04741,R04741,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD5i,M_3hddcoa_c + M_nad_c => M_3oddcoa_c + M_h_c + M_nadh_c,R04741,R04741,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD6,M_3otdcoa_c + M_h_c + M_nadh_c <=> M_3htdcoa_c + M_nad_c,R04739,R04739,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD6i,M_3htdcoa_c + M_nad_c => M_3otdcoa_c + M_h_c + M_nadh_c,R04739,R04739,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD7,M_3ohdcoa_c + M_h_c + M_nadh_c <=> M_3hhdcoa_c + M_nad_c,R04737,R04737,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HACD7i,M_3hhdcoa_c + M_nad_c => M_3ohdcoa_c + M_h_c + M_nadh_c,R04737,R04737,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HBZOPT,M_4hbz_c + M_octdp_c => M_3ophb_c + M_ppi_c,R05615,R05615,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HCO3E,M_co2_c + M_h2o_c <=> M_hco3_c + M_h_c,R00132;R10092,R00132,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HEMEOS,M_pheme_c + M_frdp_c + M_h2o_c => M_hemeO_c + M_ppi_c,R07411,R07411,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HETZK,M_4mhetz_c + M_atp_c => M_4mpetz_c + M_adp_c + M_h_c,R04448,R04448,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HEX1,M_atp_c + M_glc__D_c => M_adp_c + M_g6p_c + M_h_c,R00299,R00299,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HEX4,M_man_c + M_atp_c => M_adp_c + M_h_c + M_man6p_c,R01326,R01326,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HEX7,M_atp_c + M_fru_c => M_adp_c + M_f6p_c + M_h_c,R00867,R00867,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HISTD,M_histd_c + M_h2o_c + 2 M_nad_c => M_his__L_c + 3 M_h_c + 2 M_nadh_c,R01158,R01158,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HISTP,M_h2o_c + M_hisp_c => M_histd_c + M_pi_c,R03013,R03013,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HISTRS,M_trnahis_c + M_atp_c + M_his__L_c => M_histrna_c + M_amp_c + M_ppi_c,R03655,R03655,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HMBS,M_h2o_c + 4 M_ppbng_c => M_hmbil_c + 4 M_nh4_c,R00084,R00084,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HPPK2,M_6hmhpt_c + M_atp_c => M_6hmhptpp_c + M_amp_c + M_h_c,R03503,R03503,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HPYRI,M_hpyr_c <=> M_2h3oppan_c,R01394,R01394,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HPYRRx,M_h_c + M_hpyr_c + M_nadh_c => M_glyc__R_c + M_nad_c,R01388,R01388,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HPYRRy,M_hpyr_c + M_h_c + M_nadph_c => M_glyc__R_c + M_nadp_c,R01392,R01392,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HSDy,M_hom__L_c + M_nadp_c <=> M_aspsa_c + M_h_c + M_nadph_c,R01775,R01775,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HSK,M_hom__L_c + M_atp_c => M_phom_c + M_adp_c + M_h_c,R01771,R01771,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HSST,M_hom__L_c + M_succoa_c => M_suchms_c + M_coa_c,R01777,R01777,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HSTPT,M_glu__L_c + M_imacp_c => M_hisp_c + M_akg_c,R03243,R03243,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HXAND,M_h2o_c + M_hxan_c + M_nad_c => M_h_c + M_nadh_c + M_xan_c,R01768,R01768,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HXPRT,M_hxan_c + M_prpp_c => M_imp_c + M_ppi_c,R01132,R01132,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_HYPOE,M_h2o_c + M_pyam5p_c => M_pydam_c + M_pi_c,R02494,R02494,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ICDHyr,M_icit_c + M_nadp_c <=> M_akg_c + M_co2_c + M_nadph_c,R00267,R00267,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ICHORS_copy1,M_chor_c => M_ichor_c,R01717,R01717,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ICHORS_copy2,M_chor_c <=> M_ichor_c,R01717,R01717,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ICHORT,M_h2o_c + M_ichor_c => M_23ddhb_c + M_pyr_c,R03037,R03037,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ICL,M_icit_c => M_glx_c + M_succ_c,R00479,R00479,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IG3PS,M_gln__L_c + M_prlp_c => M_aicar_c + M_eig3p_c + M_glu__L_c + M_h_c,R04558,R04558,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IGPDH,M_eig3p_c => M_imacp_c + M_h2o_c,R03457,R03457,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IGPS,M_2cpr5p_c + M_h_c => M_3ig3p_c + M_co2_c + M_h2o_c,R03508,R03508,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ILETA,M_ile__L_c + M_akg_c <=> M_3mop_c + M_glu__L_c,R02199,R02199,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ILETRS,M_trnaile_c + M_atp_c + M_ile__L_c => M_iletrna_c + M_amp_c + M_ppi_c,R03656,R03656,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IMPC,M_h2o_c + M_imp_c <=> M_fprica_c,R01127,R01127,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IMPD,M_h2o_c + M_imp_c + M_nad_c => M_h_c + M_nadh_c + M_xmp_c,R01130,R01130,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_INSH,M_h2o_c + M_ins_c => M_hxan_c + M_rib__D_c,R01770,R01770,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_INSK,M_atp_c + M_ins_c => M_adp_c + M_h_c + M_imp_c,R01131,R01131,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IPDDI,M_ipdp_c <=> M_dmpp_c,R01123,R01123,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IPMD,M_3c2hmp_c + M_nad_c => M_3c4mop_c + M_h_c + M_nadh_c,R04426,R04426,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IPPMIa,M_3c2hmp_c <=> M_2ippm_c + M_h2o_c,R04001,R04001,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IPPMIb,M_2ippm_c + M_h2o_c <=> M_3c3hmp_c,R03968,R03968,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_IPPS,M_3mob_c + M_accoa_c + M_h2o_c => M_3c3hmp_c + M_coa_c + M_h_c,R01213,R01213,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_KARA1,M_23dhmb_c + M_nadp_c <=> M_alac__S_c + M_h_c + M_nadph_c,R04439,R04439,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_KAS14,M_acACP_c + M_malACP_c + M_h_c => M_ACP_c + M_actACP_c + M_co2_c,R04355,R04355,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_KAS15,M_accoa_c + M_h_c + M_malACP_c => M_actACP_c + M_co2_c + M_coa_c,R10707,R10707,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_KDOPS,M_ara5p_c + M_h2o_c + M_pep_c => M_kdo8p_c + M_pi_c,R03254,R03254,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_KG6PDC,M_3dhgulnp_c + M_h_c => M_xu5p__L_c + M_co2_c,R07125,R07125,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LACZ,M_lcts_c + M_h2o_c => M_gal_c + M_glc__D_c,R01100;R06114,R01100,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LACZpp,M_h2o_p + M_lcts_p => M_gal_p + M_glc__D_p,R01100;R06114,R01100,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LALDO2x,M_h_c + M_mthgxl_c + M_nadh_c => M_lald__D_c + M_nad_c,R02527,R02527,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LALDO3,M_h_c + M_mthgxl_c + M_nadph_c => M_lald__L_c + M_nadp_c,R02260,R02260,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LCADi,M_h2o_c + M_lald__L_c + M_nad_c => M_lac__L_c + 2 M_h_c + M_nadh_c,R01446,R01446,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LCARR,M_lald__D_c + M_h_c + M_nadh_c <=> M_12ppd__R_c + M_nad_c,R03080,R03080,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LCARS,M_lald__L_c + M_h_c + M_nadh_c => M_12ppd__S_c + M_nad_c,R02258,R02258,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LDH_D,M_lac__D_c + M_nad_c <=> M_h_c + M_nadh_c + M_pyr_c,R00704,R00704,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LEUTAi,M_4mop_c + M_glu__L_c => M_leu__L_c + M_akg_c,R01090,R01090,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LEUTRS,M_trnaleu_c + M_atp_c + M_leu__L_c => M_leutrna_c + M_amp_c + M_ppi_c,R03657,R03657,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LGTHL,M_gthrd_c + M_mthgxl_c => M_lgt__S_c,R02530,R02530,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LIPATPT,M_atp_c + M_lipoate_c => M_lipoamp_c + M_ppi_c,R07770,R07770,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LPADSS,M_lipidX_c + M_u23ga_c => M_lipidAds_c + M_h_c + M_udp_c,R04606,R04606,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LSERDHr,M_nadp_c + M_ser__L_c <=> M_2amsa_c + M_h_c + M_nadph_c,R06126,R06126,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LYSAM,M_lys__L_c <=> M_36dahx_c,R00461,R00461,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LYSDC,M_h_c + M_lys__L_c => M_15dap_c + M_co2_c,R00462,R00462,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LYSTRS,M_trnalys_c + M_atp_c + M_lys__L_c => M_lystrna_c + M_amp_c + M_ppi_c,R03658,R03658,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_LYXI,M_lyx__L_c => M_xylu__L_c,R01906,R01906,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_M1PD,M_mnl1p_c + M_nad_c <=> M_f6p_c + M_h_c + M_nadh_c,R02703,R02703,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MACPD,M_h_c + M_malACP_c => M_acACP_c + M_co2_c,R09482,R09482,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MALDDH,M_mal__D_c + M_nad_c => M_co2_c + M_nadh_c + M_pyr_c,R00215,R00215,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MALS,M_accoa_c + M_glx_c + M_h2o_c => M_coa_c + M_h_c + M_mal__L_c,R00472,R00472,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MALTATr,M_accoa_c + M_malt_c <=> M_acmalt_c + M_coa_c,R01556;R06251,R01556,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MAN1PT,M_gtp_c + M_h_c + M_man1p_c => M_gdpmann_c + M_ppi_c,R00885,R00885,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MAN1PT2,M_gdp_c + M_h_c + M_man1p_c => M_gdpmann_c + M_pi_c,R00883,R00883,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MAN6PI,M_man6p_c <=> M_f6p_c,R01819,R01819,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MANAO,M_mana_c + M_nad_c <=> M_fruur_c + M_h_c + M_nadh_c,R02454,R02454,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MCITD,M_2mcit_c => M_2mcacn_c + M_h2o_c,R04424,R04424,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MCITL2,M_micit_c <=> M_pyr_c + M_succ_c,R00409,R00409,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MCITS,M_h2o_c + M_oaa_c + M_ppcoa_c => M_2mcit_c + M_coa_c + M_h_c,R00931,R00931,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MCOATA,M_ACP_c + M_malcoa_c <=> M_coa_c + M_malACP_c,R01626,R01626,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MCPST,M_mercppyr_c + M_cyan_c => M_h_c + M_pyr_c + M_tcynt_c,R03106,R03106,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MDH,M_mal__L_c + M_nad_c <=> M_h_c + M_nadh_c + M_oaa_c,R00342,R00342,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MDRPD,M_5mdru1p_c => M_dkmpp_c + M_h2o_c,R07392,R07392,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ME1,M_mal__L_c + M_nad_c => M_co2_c + M_nadh_c + M_pyr_c,R00214,R00214,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ME2,M_mal__L_c + M_nadp_c => M_co2_c + M_nadph_c + M_pyr_c,R00216,R00216,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MECDPS,M_2p4c2me_c => M_2mecdp_c + M_cmp_c,R05637,R05637,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MEPCT,M_2me4p_c + M_ctp_c + M_h_c => M_4c2me_c + M_ppi_c,R05633,R05633,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_METAT,M_met__L_c + M_atp_c + M_h2o_c => M_amet_c + M_pi_c + M_ppi_c,R00177,R00177,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_METS,M_5mthf_c + M_hcys__L_c => M_h_c + M_met__L_c + M_thf_c,R00946,R00946,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_METSOXR1,M_metsox_S__L_c + M_trdrd_c => M_h2o_c + M_met__L_c + M_trdox_c,R02025,R02025,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_METSOXR2,M_metsox_R__L_c + M_trdrd_c => M_h2o_c + M_met__L_c + M_trdox_c,R07608,R07608,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_METTRS,M_trnamet_c + M_atp_c + M_met__L_c => M_amp_c + M_mettrna_c + M_ppi_c,R03659,R03659,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MGSA,M_dhap_c => M_mthgxl_c + M_pi_c,R01016,R01016,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MI1PP,M_mi1p__D_c + M_h2o_c => M_inost_c + M_pi_c,R01185,R01185,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MICITDr,M_2mcacn_c + M_h2o_c <=> M_micit_c,R04425,R04425,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MMM2,M_succoa_c => M_mmcoa__R_c,R00833,R00833,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MNNH,M_mana_c => M_2ddglcn_c + M_h2o_c,R05606,R05606,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MOAT,M_ckdo_c + M_lipidA_c => M_kdolipid4_c + M_cmp_c + M_h_c,R04658,R04658,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MOAT2,M_ckdo_c + M_kdolipid4_c => M_cmp_c + M_h_c + M_kdo2lipid4_c,R05074;R06285,R05074,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MOHMT,M_3mob_c + M_h2o_c + M_mlthf_c => M_2dhp_c + M_thf_c,R01226,R01226,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MOX,M_mal__L_c + M_o2_c => M_h2o2_c + M_oaa_c,R00360,R00360,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MPTAT,M_mpt_c + M_atp_c + M_h_c => M_mptamp_c + M_ppi_c,R09726,R09726,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MSAR,M_h_c + M_msa_c + M_nadph_c => M_3hpp_c + M_nadp_c,R09289,R09289,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MTAN,M_5mta_c + M_h2o_c => M_5mtr_c + M_ade_c,R01401,R01401,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MTHFC,M_methf_c + M_h2o_c <=> M_10fthf_c + M_h_c,R01655,R01655,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MTHFD,M_mlthf_c + M_nadp_c <=> M_methf_c + M_nadph_c,R01220,R01220,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MTHFR2,2 M_h_c + M_mlthf_c + M_nadh_c => M_5mthf_c + M_nad_c,R07168,R07168,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MTRI,M_5mdr1p_c => M_5mdru1p_c,R04420,R04420,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_MTRK,M_5mtr_c + M_atp_c => M_5mdr1p_c + M_adp_c + M_h_c,R04143,R04143,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NADDP,M_h2o_c + M_nad_c => M_nmn_c + M_amp_c + 2 M_h_c,R00103,R00103,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NADHPO,M_h2o2_c + M_h_c + M_nadh_c => 2 M_h2o_c + M_nad_c,R00090,R00090,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NADK,M_atp_c + M_nad_c => M_adp_c + M_h_c + M_nadp_c,R00104,R00104,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NADN,M_h2o_c + M_nad_c => M_adprib_c + M_ncam_c + M_h_c,R00102,R00102,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NADPPPS,M_h2o_c + M_nadp_c => M_nad_c + M_pi_c,R00118,R00118,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NADS1,M_dnad_c + M_atp_c + M_nh4_c => M_amp_c + M_h_c + M_nad_c + M_ppi_c,R00189,R00189,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NADTRHD,M_nad_c + M_nadph_c => M_nadh_c + M_nadp_c,R00112,R00112,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NAMNPP,M_atp_c + M_h2o_c + M_nac_c + M_prpp_c => M_adp_c + M_nicrnt_c + M_pi_c + M_ppi_c,R01724,R01724,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDP3,M_gdp_c + M_h2o_c => M_gmp_c + M_h_c + M_pi_c,R00328,R00328,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDP7,M_udp_c + M_h2o_c => M_h_c + M_pi_c + M_ump_c,R00155,R00155,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDPK1,M_atp_c + M_gdp_c <=> M_adp_c + M_gtp_c,R00330,R00330,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDPK2,M_atp_c + M_udp_c <=> M_adp_c + M_utp_c,R00156,R00156,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDPK3,M_atp_c + M_cdp_c <=> M_adp_c + M_ctp_c,R00570,R00570,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDPK4,M_dtdp_c + M_atp_c <=> M_adp_c + M_dttp_c,R02093,R02093,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDPK5,M_atp_c + M_dgdp_c <=> M_adp_c + M_dgtp_c,R01857,R01857,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDPK6,M_dudp_c + M_atp_c <=> M_dutp_c + M_adp_c,R02331,R02331,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDPK7,M_atp_c + M_dcdp_c <=> M_dctp_c + M_adp_c,R02326,R02326,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NDPK8,M_dadp_c + M_atp_c <=> M_datp_c + M_adp_c,R01137,R01137,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NHFRBO,M_h_c + M_nadh_c + 2 M_no_c => M_n2o_c + M_h2o_c + M_nad_c,R02492,R02492,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NICRNS,M_nicrns_c + M_atp_c => M_adp_c + M_h_c + M_nicrnt_c,R03347,R03347,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NMNAT,M_atp_c + M_h_c + M_nmn_c => M_nad_c + M_ppi_c,R00137,R00137,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NMNDA,M_h2o_c + M_nmn_c => M_nh4_c + M_nicrnt_c,R02322,R02322,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NMNHYD,M_h2o_c + M_nmn_c => M_pi_c + M_rnam_c,R02323,R02323,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NMNR,M_h2o_e + M_nmn_e => M_pi_e + M_rnam_e,R02323,R02323,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NNAM,M_h2o_c + M_ncam_c => M_nac_c + M_nh4_c,R01268,R01268,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NNATr,M_atp_c + M_h_c + M_nicrnt_c <=> M_dnad_c + M_ppi_c,R03005,R03005,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NNDMBRT,M_dmbzid_c + M_nicrnt_c => M_5prdmbz_c + M_h_c + M_nac_c,R04148,R04148,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NNDPR,M_quln_c + 2 M_h_c + M_prpp_c => M_nicrnt_c + M_co2_c + M_ppi_c,R03348,R03348,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NODOx,M_nadh_c + 2 M_no_c + 2 M_o2_c => M_h_c + M_nad_c + 2 M_no3_c,R05724,R05724,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NODOy,2 M_no_c + M_nadph_c + 2 M_o2_c => M_h_c + M_nadp_c + 2 M_no3_c,R05725,R05725,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NPHS,M_sbzcoa_c => M_coa_c + M_dhna_c,R04150,R04150,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD1,M_dump_c + M_h2o_c => M_duri_c + M_pi_c,R02102,R02102,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD10,M_h2o_c + M_xmp_c => M_pi_c + M_xtsn_c,R02719,R02719,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD10pp,M_xmp_p + M_h2o_p => M_pi_p + M_xtsn_p,R02719,R02719,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD11,M_h2o_c + M_imp_c => M_ins_c + M_pi_c,R01126,R01126,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD11pp,M_imp_p + M_h2o_p => M_ins_p + M_pi_p,R01126,R01126,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD1pp,M_dump_p + M_h2o_p => M_duri_p + M_pi_p,R02102,R02102,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD2,M_h2o_c + M_ump_c => M_pi_c + M_uri_c,R00963,R00963,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD2pp,M_h2o_p + M_ump_p => M_pi_p + M_uri_p,R00963,R00963,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD3,M_dcmp_c + M_h2o_c => M_dcyt_c + M_pi_c,R01664,R01664,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD3pp,M_dcmp_p + M_h2o_p => M_dcyt_p + M_pi_p,R01664,R01664,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD4,M_cmp_c + M_h2o_c => M_cytd_c + M_pi_c,R00511,R00511,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD4pp,M_cmp_p + M_h2o_p => M_cytd_p + M_pi_p,R00511,R00511,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD5,M_dtmp_c + M_h2o_c => M_pi_c + M_thymd_c,R01569,R01569,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD5pp,M_dtmp_p + M_h2o_p => M_pi_p + M_thymd_p,R01569,R01569,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD6,M_damp_c + M_h2o_c => M_dad_2_c + M_pi_c,R02088,R02088,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD6pp,M_damp_p + M_h2o_p => M_dad_2_p + M_pi_p,R02088,R02088,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD7,M_amp_c + M_h2o_c => M_adn_c + M_pi_c,R00183,R00183,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD7pp,M_amp_p + M_h2o_p => M_adn_p + M_pi_p,R00183,R00183,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD8,M_dgmp_c + M_h2o_c => M_dgsn_c + M_pi_c,R01968,R01968,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD8pp,M_dgmp_p + M_h2o_p => M_dgsn_p + M_pi_p,R01968,R01968,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD9,M_gmp_c + M_h2o_c => M_gsn_c + M_pi_c,R01227,R01227,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTD9pp,M_gmp_p + M_h2o_p => M_gsn_p + M_pi_p,R01227,R01227,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTP1,M_atp_c + M_h2o_c => M_adp_c + M_h_c + M_pi_c,R00086,R00086,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTP10,M_h2o_c + M_itp_c => M_h_c + M_idp_c + M_pi_c,R00719,R00719,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTP3,M_gtp_c + M_h2o_c => M_gdp_c + M_h_c + M_pi_c,R00335,R00335,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTP3pp,M_gtp_p + M_h2o_p => M_gdp_p + M_h_p + M_pi_p,R00335,R00335,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTP5,M_ctp_c + M_h2o_c => M_cdp_c + M_h_c + M_pi_c,R00569,R00569,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP1,M_dgtp_c + M_h2o_c => M_dgmp_c + M_h_c + M_ppi_c,R01855,R01855,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP10,M_ditp_c + M_h2o_c => M_dimp_c + M_h_c + M_ppi_c,R03531,R03531,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP11,M_h2o_c + M_xtp_c => M_h_c + M_ppi_c + M_xmp_c,R02720,R02720,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP2,M_gtp_c + M_h2o_c => M_gmp_c + M_h_c + M_ppi_c,R00426,R00426,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP3,M_dctp_c + M_h2o_c => M_dcmp_c + M_h_c + M_ppi_c,R01668,R01668,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP4,M_ctp_c + M_h2o_c => M_cmp_c + M_h_c + M_ppi_c,R00515,R00515,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP6,M_atp_c + M_h2o_c => M_amp_c + M_h_c + M_ppi_c,R00087,R00087,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP7,M_dttp_c + M_h2o_c => M_dtmp_c + M_h_c + M_ppi_c,R11323,R11323,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP8,M_h2o_c + M_utp_c => M_h_c + M_ppi_c + M_ump_c,R00662,R00662,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPP9,M_h2o_c + M_itp_c => M_h_c + M_imp_c + M_ppi_c,R00720,R00720,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTPTP1,M_dgtp_c + M_h2o_c => M_dgsn_c + M_pppi_c,R01856,R01856,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_NTRIR2x,M_no2_c + 5 M_h_c + 3 M_nadh_c => 2 M_h2o_c + 3 M_nad_c + M_nh4_c,R00787,R00787,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OAADC,M_h_c + M_oaa_c => M_co2_c + M_pyr_c,R00217,R00217,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OBTFL,M_2obut_c + M_coa_c => M_for_c + M_ppcoa_c,R06987,R06987,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OCBT,M_cbp_c + M_orn_c <=> M_citr__L_c + M_h_c + M_pi_c,R01398,R01398,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OCTDPS,M_frdp_c + 5 M_ipdp_c => M_octdp_c + 5 M_ppi_c,R09248,R09248,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OGMEACPD,M_hgmeACP_c => M_egmeACP_c + M_h2o_c,R10117,R10117,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OHPBAT,M_ohpb_c + M_glu__L_c <=> M_phthr_c + M_akg_c,R05085,R05085,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OHPHM,M_2ohph_c + M_amet_c => M_2omph_c + M_ahcys_c + M_h_c,R04988,R04988,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OMCDC,M_3c4mop_c + M_h_c => M_4mop_c + M_co2_c,R01652,R01652,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OMPDC,M_orot5p_c + M_h_c => M_co2_c + M_ump_c,R00965,R00965,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OPAH,M_5oxpro_c + M_atp_c + 2 M_h2o_c => M_adp_c + M_glu__L_c + M_h_c + M_pi_c,R00251,R00251,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OPHBDC,M_3ophb_c + M_h_c => M_2oph_c + M_co2_c,R04986,R04986,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OPMEACPD,M_hpmeACP_c => M_epmeACP_c + M_h2o_c,R10121,R10121,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ORNDC,M_h_c + M_orn_c => M_co2_c + M_ptrc_c,R00670,R00670,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ORPT,M_orot5p_c + M_ppi_c <=> M_orot_c + M_prpp_c,R01870,R01870,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OXAMTC,M_oxur_c + M_pi_c => M_oxam_c + M_cbp_c,R02937,R02937,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OXCDC,M_oxalcoa_c + M_h_c => M_forcoa_c + M_co2_c,R01908,R01908,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_OXPTNDH,M_oxptn_c + M_h2o_c + M_nad_c <=> M_glutar_c + 2 M_h_c + M_nadh_c,R02401,R02401,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_P5CD,M_1pyr5c_c + 2 M_h2o_c + M_nad_c => M_glu__L_c + M_h_c + M_nadh_c,R00707,R00707,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_P5CR,M_1pyr5c_c + 2 M_h_c + M_nadph_c => M_pro__L_c + M_nadp_c,R01251,R01251,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PANTS,M_ala_B_c + M_atp_c + M_pant__R_c => M_amp_c + M_h_c + M_pnto__R_c + M_ppi_c,R02473,R02473,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PAPSR,M_paps_c + M_trdrd_c => 2 M_h_c + M_pap_c + M_so3_c + M_trdox_c,R02021,R02021,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PCNO,M_nadp_c + M_ppcoa_c <=> M_prpncoa_c + M_h_c + M_nadph_c,R00919,R00919,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PDE1,M_camp_c + M_h2o_c => M_amp_c + M_h_c,R00191,R00191,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PDH,M_coa_c + M_nad_c + M_pyr_c => M_accoa_c + M_co2_c + M_nadh_c,R00209,R00209,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PDHcr,M_dhlam_c + M_nad_c => M_lpam_c + M_h_c + M_nadh_c,R01698,R01698,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PDX5POi,M_o2_c + M_pdx5p_c => M_h2o2_c + M_pydx5p_c,R00278,R00278,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PDXPP,M_h2o_c + M_pdx5p_c => M_pi_c + M_pydxn_c,R01911,R01911,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PERD,M_4per_c + M_nad_c <=> M_h_c + M_nadh_c + M_ohpb_c,R04210,R04210,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PFK_2,M_tag6p__D_c + M_atp_c => M_tagdp__D_c + M_adp_c + M_h_c,R03236,R03236,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PFK_3,M_s7p_c + M_atp_c => M_s17bp_c + M_adp_c + M_h_c,R01843,R01843,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PFL,M_coa_c + M_pyr_c => M_accoa_c + M_for_c,R00212,R00212,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PFOR,M_coa_c + M_fldox_c + M_h_c + M_pyr_c => M_accoa_c + M_co2_c + M_fldrd_c,R10866,R10866,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PGAMT,M_gam1p_c <=> M_gam6p_c,R02060,R02060,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PGCD,M_3pg_c + M_nad_c => M_3php_c + M_h_c + M_nadh_c,R01513,R01513,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PGK,M_3pg_c + M_atp_c <=> M_13dpg_c + M_adp_c,R01512,R01512,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PGL,M_6pgl_c + M_h2o_c => M_6pgc_c + M_h_c,R02035,R02035,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PGLYCP,M_2pglyc_c + M_h2o_c => M_glyclt_c + M_pi_c,R01334,R01334,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PGM,M_2pg_c <=> M_3pg_c,R01518,R01518,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PGMT,M_g1p_c <=> M_g6p_c,R08639,R08639,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PHETA1,M_phe__L_c + M_akg_c <=> M_glu__L_c + M_phpyr_c,R00694,R00694,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PMANM,M_man1p_c <=> M_man6p_c,R01818,R01818,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PMDPHT,M_5aprbu_c + M_h2o_c => M_4r5au_c + M_pi_c,R07280,R07280,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PMEACPE,M_h2o_c + M_pmeACP_c => M_meoh_c + M_pimACP_c,R09725,R09725,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PNTK,M_pnto__R_c + M_atp_c => M_4ppan_c + M_adp_c + M_h_c,R03018,R03018,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPA,M_h2o_c + M_ppi_c => M_h_c + 2 M_pi_c,R00004,R00004,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPA2,M_h2o_c + M_pppi_c => M_h_c + M_pi_c + M_ppi_c,R00138,R00138,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPBNGS,2 M_5aop_c => M_ppbng_c + 2 M_h2o_c + M_h_c,R00036,R00036,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPC,M_co2_c + M_h2o_c + M_pep_c => M_h_c + M_oaa_c + M_pi_c,R00345,R00345,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPCDC,M_4ppcys_c + M_h_c => M_pan4p_c + M_co2_c,R03269,R03269,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPCK,M_atp_c + M_oaa_c => M_pep_c + M_adp_c + M_co2_c,R00341,R00341,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPGPPDP,M_ppgpp_c + M_h2o_c => M_gdp_c + M_ppi_c,R00336,R00336,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPM2,M_2dr1p_c <=> M_2dr5p_c,R02749,R02749,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPNCL2,M_4ppan_c + M_ctp_c + M_cys__L_c => M_4ppcys_c + M_cmp_c + M_h_c + M_ppi_c,R04231,R04231,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPND,M_nad_c + M_pphn_c => M_34hpp_c + M_co2_c + M_nadh_c,R01728,R01728,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPNDH,M_h_c + M_pphn_c => M_phpyr_c + M_co2_c + M_h2o_c,R01373,R01373,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PPS,M_atp_c + M_h2o_c + M_pyr_c => M_amp_c + 2 M_h_c + M_pep_c + M_pi_c,R00199,R00199,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PRAGSr,M_atp_c + M_gly_c + M_pram_c <=> M_adp_c + M_gar_c + M_h_c + M_pi_c,R04144,R04144,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PRAIi,M_pran_c => M_2cpr5p_c,R03509,R03509,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PRAMPC,M_h2o_c + M_prbamp_c => M_prfp_c,R04037,R04037,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PRASCSi,M_5aizc_c + M_asp__L_c + M_atp_c => M_25aics_c + M_adp_c + M_h_c + M_pi_c,R04591,R04591,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PRASCSi_copy1,M_5aizc_c + M_asp__L_c + M_atp_c => M_25aics_c + M_adp_c + M_h_c + M_pi_c,R04591,R04591,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PRASCSi_copy2,M_5aizc_c + M_asp__L_c + M_atp_c <=> M_25aics_c + M_adp_c + M_h_c + M_pi_c,R04591,R04591,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PRATPP,M_h2o_c + M_prbatp_c => M_prbamp_c + M_h_c + M_ppi_c,R04035,R04035,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PRMICI,M_prfp_c <=> M_prlp_c,R04640,R04640,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PROD2,M_fad_c + M_pro__L_c => M_1pyr5c_c + M_fadh2_c + M_h_c,R10507,R10507,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PROTRS,M_trnapro_c + M_atp_c + M_pro__L_c => M_protrna_c + M_amp_c + M_ppi_c,R03661,R03661,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PSCVT,M_skm5p_c + M_pep_c <=> M_3psme_c + M_pi_c,R03460,R03460,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PSERT,M_3php_c + M_glu__L_c => M_pser__L_c + M_akg_c,R04173,R04173,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PSP_L,M_h2o_c + M_pser__L_c => M_pi_c + M_ser__L_c,R00582,R00582,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PSP_Lpp,M_h2o_p + M_pser__L_p => M_pi_p + M_ser__L_p,R00582,R00582,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PTA2,M_pi_c + M_ppcoa_c => M_ppap_c + M_coa_c,R00921,R00921,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PTAr,M_accoa_c + M_pi_c <=> M_actp_c + M_coa_c,R00230,R00230,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PTPATi,M_atp_c + M_h_c + M_pan4p_c => M_dpcoa_c + M_ppi_c,R03035,R03035,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PTRCTA,M_ptrc_c + M_akg_c => M_4abutn_c + M_glu__L_c,R01155,R01155,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PUNP1,M_adn_c + M_pi_c <=> M_ade_c + M_r1p_c,R01561,R01561,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PUNP2,M_dad_2_c + M_pi_c <=> M_2dr1p_c + M_ade_c,R02557,R02557,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PUNP3,M_gsn_c + M_pi_c <=> M_gua_c + M_r1p_c,R02147,R02147,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PUNP4,M_dgsn_c + M_pi_c <=> M_2dr1p_c + M_gua_c,R01969,R01969,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PUNP5,M_ins_c + M_pi_c <=> M_hxan_c + M_r1p_c,R01863,R01863,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PUNP6,M_din_c + M_pi_c <=> M_2dr1p_c + M_hxan_c,R02748,R02748,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PUNP7,M_xtsn_c + M_pi_c <=> M_r1p_c + M_xan_c,R02297,R02297,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYAM5PO,M_h2o_c + M_o2_c + M_pyam5p_c => M_h2o2_c + M_nh4_c + M_pydx5p_c,R00277,R00277,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYDAMK,M_atp_c + M_pydam_c => M_adp_c + M_h_c + M_pyam5p_c,R02493,R02493,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYDXK,M_atp_c + M_pydx_c => M_adp_c + M_h_c + M_pydx5p_c,R00174,R00174,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYDXNK,M_pydxn_c + M_atp_c => M_pdx5p_c + M_adp_c + M_h_c,R01909,R01909,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYDXOR,M_h_c + M_nadph_c + M_pydx_c <=> M_nadp_c + M_pydxn_c,R01708,R01708,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYDXPP,M_h2o_c + M_pydx5p_c => M_pydx_c + M_pi_c,R00173,R00173,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYK,M_adp_c + M_h_c + M_pep_c => M_atp_c + M_pyr_c,R00200,R00200,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYK2,M_h_c + M_pep_c + M_udp_c => M_pyr_c + M_utp_c,R00659,R00659,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYK3,M_gdp_c + M_h_c + M_pep_c => M_gtp_c + M_pyr_c,R00430,R00430,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYK4,M_cdp_c + M_h_c + M_pep_c => M_ctp_c + M_pyr_c,R00572,R00572,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_PYNP2r,M_pi_c + M_uri_c <=> M_r1p_c + M_ura_c,R01876,R01876,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_Q23DO,M_quc_c + M_o2_c => M_2pcpgc_c + M_co_c,R02156,R02156,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_QUINDH,M_nad_c + M_quin_c => M_3dhq_c + 2 M_h_c + M_nadh_c,R01872,R01872,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_QULNS,M_dhap_c + M_iasp_c => 2 M_h2o_c + M_pi_c + M_quln_c,R04292,R04292,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_R15BPK,M_atp_c + M_r15bp_c => M_adp_c + M_prpp_c,R06836,R06836,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RBFK,M_ribflv_c + M_atp_c => M_fmn_c + M_adp_c + M_h_c,R00549,R00549,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RBFSa,M_4r5au_c + M_db4p_c => M_dmlz_c + 2 M_h2o_c + M_pi_c,R04457,R04457,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RBFSb,2 M_dmlz_c => M_4r5au_c + M_ribflv_c,R00066,R00066,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RBK_L1,M_rbl__L_c + M_atp_c => M_ru5p__L_c + M_adp_c + M_h_c,R02439,R02439,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RBP4E,M_ru5p__L_c <=> M_xu5p__D_c,R05850,R05850,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RHCCE,M_rhcys_c => M_dhptd_c + M_hcys__L_c,R01291,R01291,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RMI,M_rmn_c <=> M_rml_c,R02437,R02437,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RMK,M_atp_c + M_rml_c => M_adp_c + M_h_c + M_rml1p_c,R03014,R03014,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RMPA,M_rml1p_c <=> M_dhap_c + M_lald__L_c,R02263,R02263,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RNDR1,M_trdrd_c + M_adp_c => M_trdox_c + M_dadp_c + M_h2o_c,R02017,R02017,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RNDR2,M_gdp_c + M_trdrd_c => M_dgdp_c + M_h2o_c + M_trdox_c,R02019,R02019,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RNDR3,M_cdp_c + M_trdrd_c => M_dcdp_c + M_h2o_c + M_trdox_c,R02024,R02024,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RNDR4,M_trdrd_c + M_udp_c => M_dudp_c + M_h2o_c + M_trdox_c,R02018,R02018,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RNMK,M_atp_c + M_rnam_c => M_adp_c + M_h_c + M_nmn_c,R02324,R02324,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RPE,M_ru5p__D_c <=> M_xu5p__D_c,R01529,R01529,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_RZ5PP,M_5prdmbz_c + M_h2o_c => M_rdmbzi_c + M_pi_c,R04594,R04594,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_S7PI,M_s7p_c => M_gmhep7p_c,R05645;R09768,R05645,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SADH,2 M_h2o_c + 2 M_h_c + M_sucarg_c => M_co2_c + 2 M_nh4_c + M_sucorn_c,R04189,R04189,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SALSYN,M_ichor_c => M_salc_c + M_pyr_c,R06602,R06602,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SARCOX,M_sarcs_c + M_h2o_c + M_o2_c => M_fald_c + M_gly_c + M_h2o2_c,R00610,R00610,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SBTD_D2,M_sbt__D_c + M_nad_c <=> M_fru_c + M_h_c + M_nadh_c,R00875,R00875,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SBTPD,M_sbt6p_c + M_nad_c <=> M_f6p_c + M_h_c + M_nadh_c,R05607,R05607,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SDPDS,M_sl26da_c + M_h2o_c => M_26dap_LL_c + M_succ_c,R02734,R02734,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SDPTA,M_akg_c + M_sl26da_c <=> M_sl2a6o_c + M_glu__L_c,R04475,R04475,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SELCYSS,M_sertrna_sec_c + M_selnp_c => M_sectrna_c + M_h_c + M_pi_c,R08219,R08219,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SELGTHR,M_slnt_c + 4 M_gthrd_c + 2 M_h_c => M_dgslnt_c + M_gthox_c + 3 M_h2o_c,R09367,R09367,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SELNPS,M_seln_c + M_atp_c + M_h2o_c => M_selnp_c + M_amp_c + M_pi_c,R03595,R03595,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SEPHCHCS,M_akg_c + M_h_c + M_ichor_c => M_2sephchc_c + M_co2_c,R08165,R08165,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SERAT,M_accoa_c + M_ser__L_c <=> M_acser_c + M_coa_c,R00586,R00586,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SERD_D,M_ser__D_c => M_nh4_c + M_pyr_c,R00221,R00221,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SERD_L,M_ser__L_c => M_nh4_c + M_pyr_c,R00220;R00223,R00220,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SERTRS,M_trnaser_c + M_atp_c + M_ser__L_c => M_sertrna_c + M_amp_c + M_ppi_c,R03662,R03662,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SFGTHi,M_Sfglutth_c + M_h2o_c => M_for_c + M_gthrd_c + M_h_c,R00527,R00527,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SGDS,M_sucglu_c + M_h2o_c => M_glu__L_c + M_succ_c,R00411,R00411,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SGSAD,M_h2o_c + M_nad_c + M_sucgsa_c => 2 M_h_c + M_nadh_c + M_sucglu_c,R05049,R05049,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SHCHCS3,M_2sephchc_c => M_2shchc_c + M_pyr_c,R08166,R08166,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SHCHD2,M_dscl_c + M_nad_c => M_scl_c + M_h_c + M_nadh_c,R03947,R03947,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SHCHF,M_fe2_c + M_scl_c => M_sheme_c + 3 M_h_c,R02864,R02864,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SHK3Dr,M_3dhsk_c + M_nadph_c + M_h_c <=> M_nadp_c + M_skm_c,R02413,R02413,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SHKK,M_atp_c + M_skm_c => M_adp_c + M_h_c + M_skm5p_c,R02412,R02412,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SHSL1,M_cys__L_c + M_suchms_c => M_cyst__L_c + M_h_c + M_succ_c,R03260,R03260,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SLCYSS,M_acser_c + M_tsul_c => M_ac_c + M_scys__L_c,R03132,R03132,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SOTA,M_sucorn_c + M_akg_c => M_sucgsa_c + M_glu__L_c,R04217,R04217,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SPMS,M_ametam_c + M_ptrc_c => M_5mta_c + M_spmd_c + M_h_c,R01920,R01920,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SPODM,2 M_o2s_c + 2 M_h_c => M_h2o2_c + M_o2_c,R00275,R00275,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SPODMpp,2 M_o2s_p + 2 M_h_p => M_h2o2_p + M_o2_p,R00275,R00275,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SSALx,M_h2o_c + M_nad_c + M_sucsal_c => 2 M_h_c + M_nadh_c + M_succ_c,R00713,R00713,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SSALy,M_h2o_c + M_nadp_c + M_sucsal_c => 2 M_h_c + M_nadph_c + M_succ_c,R00714,R00714,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SUCBZL,M_atp_c + M_coa_c + M_sucbz_c => M_sbzcoa_c + M_amp_c + M_ppi_c,R04030,R04030,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SUCBZS,M_2shchc_c => M_sucbz_c + M_h2o_c,R04031,R04031,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SUCOAS,M_atp_c + M_coa_c + M_succ_c <=> M_adp_c + M_pi_c + M_succoa_c,R00405,R00405,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SUCOAS2,M_atp_c + M_coa_c + M_succ_c <=> M_adp_c + M_pi_c + M_succoa_c,R00405,R00405,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_SULR,5 M_h_c + 3 M_nadph_c + M_so3_c => 3 M_h2o_c + M_h2s_c + 3 M_nadp_c,R00858,R00858,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TAGURr,M_altrn_c + M_nad_c <=> M_tagur_c + M_h_c + M_nadh_c,R02555,R02555,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TALA,M_g3p_c + M_s7p_c <=> M_e4p_c + M_f6p_c,R01827,R01827,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TARTD,M_tartr__L_c => M_h2o_c + M_oaa_c,R00339,R00339,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TAUDO,M_taur_c + M_akg_c + M_o2_c => M_aacald_c + M_co2_c + M_h_c + M_so3_c + M_succ_c,R05320,R05320,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TDP,M_h2o_c + M_thmpp_c => M_h_c + M_pi_c + M_thmmp_c,R00615,R00615,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TDPADGAT,M_dtdp4addg_c + M_accoa_c => M_dtdp4aaddg_c + M_coa_c + M_h_c,R10142,R10142,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TDPAGTA,M_dtdp4d6dg_c + M_glu__L_c => M_akg_c + M_dtdp4addg_c,R04438,R04438,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TDPGDH,M_dtdpglu_c => M_dtdp4d6dg_c + M_h2o_c,R06513,R06513,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TDSK,M_atp_c + M_lipidAds_c => M_adp_c + M_h_c + M_lipidA_c,R04657,R04657,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TGBPA,M_tagdp__D_c <=> M_dhap_c + M_g3p_c,R01069,R01069,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_THDPS,M_h2o_c + M_succoa_c + M_thdp_c => M_coa_c + M_sl2a6o_c,R04365,R04365,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_THFAT,M_h2o_c + M_methf_c => M_5fthf_c + M_h_c,R02300,R02300,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_THRA,M_thr__L_c => M_acald_c + M_gly_c,R00751,R00751,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_THRD,M_thr__L_c + M_nad_c => M_2aobut_c + M_h_c + M_nadh_c,R01465,R01465,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_THRD_L,M_thr__L_c => M_2obut_c + M_nh4_c,R00996,R00996,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_THRS,M_h2o_c + M_phom_c => M_pi_c + M_thr__L_c,R01466,R01466,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_THRTRS,M_trnathr_c + M_atp_c + M_thr__L_c => M_thrtrna_c + M_amp_c + M_ppi_c,R03663,R03663,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TKT2,M_e4p_c + M_xu5p__D_c <=> M_f6p_c + M_g3p_c,R01830,R01830,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TMDK1,M_atp_c + M_thymd_c => M_adp_c + M_dtmp_c + M_h_c,R01567,R01567,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TMDPP,M_thymd_c + M_pi_c <=> M_thym_c + M_2dr1p_c,R01570,R01570,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TMDS,M_dump_c + M_mlthf_c => M_dhf_c + M_dtmp_c,R02101,R02101,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TMPK,M_atp_c + M_thmmp_c => M_thmpp_c + M_adp_c,R00617,R00617,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TMPPP,M_2mahmp_c + M_4mpetz_c + M_h_c => M_thmmp_c + M_ppi_c,R03223,R03223,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TPI,M_dhap_c <=> M_g3p_c,R01015,R01015,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TPRDCOAS,M_atp_c + M_dpcoa_c => M_2tpr3dpcoa_c + M_ade_c,R09675,R09675,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRDR,M_h_c + M_nadph_c + M_trdox_c => M_nadp_c + M_trdrd_c,R02016,R02016,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRE6PH,M_tre6p_c + M_h2o_c => M_g6p_c + M_glc__D_c,R00837;R06113,R00837,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRE6PP,M_h2o_c + M_tre6p_c => M_tre_c + M_pi_c,R02778;R06228,R02778,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRE6PS,M_g6p_c + M_udpg_c => M_h_c + M_tre6p_c + M_udp_c,R00836;R06043,R00836,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TREH,M_h2o_c + M_tre_c => 2 M_glc__D_c,R00010;R06103,R00010,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TREHpp,M_h2o_p + M_tre_p => 2 M_glc__D_p,R00010;R06103,R00010,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRPAS2,M_trp__L_c + M_h2o_c <=> M_indole_c + M_nh4_c + M_pyr_c,R00673,R00673,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRPS1,M_3ig3p_c + M_ser__L_c => M_g3p_c + M_h2o_c + M_trp__L_c,R02722,R02722,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRPS2,M_ser__L_c + M_indole_c => M_h2o_c + M_trp__L_c,R00674,R00674,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRPS3,M_3ig3p_c => M_g3p_c + M_indole_c,R02340,R02340,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRPTA,M_akg_c + M_trp__L_c <=> M_indpyr_c + M_glu__L_c,R00684,R00684,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRPTRS,M_trnatrp_c + M_atp_c + M_trp__L_c => M_trptrna_c + M_amp_c + M_ppi_c,R03664,R03664,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TRSARr,M_2h3oppan_c + M_h_c + M_nadh_c <=> M_glyc__R_c + M_nad_c,R01745,R01745,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TYRTA,M_akg_c + M_tyr__L_c <=> M_34hpp_c + M_glu__L_c,R00734,R00734,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_TYRTRS,M_trnatyr_c + M_atp_c + M_tyr__L_c => M_tyrtrna_c + M_amp_c + M_ppi_c,R02918,R02918,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_U23GAAT,M_3hmrsACP_c + M_u3hga_c => M_ACP_c + M_h_c + M_u23ga_c,R04550,R04550,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UACMAMO,M_h2o_c + 2 M_nad_c + M_uacmam_c => M_uacmamu_c + 3 M_h_c + 2 M_nadh_c,R03317,R03317,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAG2E,M_uacgam_c <=> M_uacmam_c,R00420,R00420,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAG4Ei_copy1,M_uacgam_c => M_udpacgal_c,R00418,R00418,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAG4Ei_copy2,M_uacgam_c => M_udpacgal_c,R00418,R00418,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAGAAT,M_3hmrsACP_c + M_uacgam_c <=> M_ACP_c + M_u3aga_c,R04567,R04567,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAGCVT,M_pep_c + M_uacgam_c => M_uaccg_c + M_pi_c,R00660,R00660,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAGPT3,M_uacgam_c + M_uagmda_c => M_uaagmda_c + M_h_c + M_udp_c,R05032;R06174,R05032,2,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAMAGS,M_atp_c + M_glu__D_c + M_uama_c => M_adp_c + M_h_c + M_pi_c + M_uamag_c,R02783,R02783,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAMAS,M_ala__L_c + M_atp_c + M_uamr_c => M_uama_c + M_adp_c + M_h_c + M_pi_c,R03193,R03193,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UAPGR,M_h_c + M_nadph_c + M_uaccg_c => M_uamr_c + M_nadp_c,R03192,R03192,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UDPG4E,M_udpg_c <=> M_udpgal_c,R00291,R00291,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UDPGD,M_h2o_c + 2 M_nad_c + M_udpg_c => M_udpglcur_c + 3 M_h_c + 2 M_nadh_c,R00286,R00286,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UDPGDC,M_nad_c + M_udpglcur_c => M_udpLa4o_c + M_co2_c + M_nadh_c,R07658,R07658,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UDPGPpp,M_h2o_p + M_udpg_p => M_g1p_p + 2 M_h_p + M_ump_p,R00287,R00287,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UDPKAAT,M_glu__L_c + M_udpLa4o_c <=> M_udpLa4n_c + M_akg_c,R07659,R07659,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UGLT,M_gal1p_c + M_udpg_c <=> M_udpgal_c + M_g1p_c,R00955,R00955,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UGLYCH,M_urdglyc_c + M_h2o_c + 2 M_h_c => M_co2_c + M_glx_c + 2 M_nh4_c,R00469,R00469,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UHGADA,M_u3aga_c + M_h2o_c => M_ac_c + M_u3hga_c,R04587,R04587,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_ULA4NFT,M_10fthf_c + M_udpLa4n_c => M_udpLa4fn_c + M_h_c + M_thf_c,R07660,R07660,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UMPK,M_atp_c + M_ump_c <=> M_adp_c + M_udp_c,R00158,R00158,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UNK3,M_2kmb_c + M_glu__L_c => M_akg_c + M_met__L_c,R07396,R07396,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UPP3MT,2 M_amet_c + M_uppg3_c => 2 M_ahcys_c + M_dscl_c + M_h_c,R03194,R03194,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UPP3S,M_hmbil_c => M_uppg3_c + M_h2o_c,R03165,R03165,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UPPDC1,4 M_h_c + M_uppg3_c => 4 M_co2_c + M_cpppg3_c,R03197,R03197,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_UPPRT,M_prpp_c + M_ura_c => M_ppi_c + M_ump_c,R00966,R00966,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_URACPAH,M_uracp_c + M_h2o_c => M_poaac_c + M_cbm_c + M_h_c,R09947,R09947,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_URCN,M_urcan_c + M_h2o_c => M_4izp_c,R02914,R02914,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_URDGLYCD,M_nad_c + M_urdglyc_c => M_oxur_c + M_h_c + M_nadh_c,R02935,R02935,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_URFGTT,M_2ombz_c + M_amet_c => M_2ommb_c + M_ahcys_c + M_h_c,R04990,R04990,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_URIDK2r,M_atp_c + M_dump_c <=> M_adp_c + M_dudp_c,R02098,R02098,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_URIH,M_h2o_c + M_uri_c => M_rib__D_c + M_ura_c,R01080,R01080,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_URIK1,M_atp_c + M_uri_c => M_adp_c + M_h_c + M_ump_c,R00964,R00964,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_URIK2,M_gtp_c + M_uri_c => M_gdp_c + M_h_c + M_ump_c,R00968,R00968,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_USHD,M_u23ga_c + M_h2o_c => M_lipidX_c + 2 M_h_c + M_ump_c,R04549,R04549,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_VALTA,M_val__L_c + M_akg_c <=> M_3mob_c + M_glu__L_c,R01214,R01214,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_VALTRS,M_trnaval_c + M_atp_c + M_val__L_c => M_valtrna_c + M_amp_c + M_ppi_c,R03665,R03665,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_VPAMTr,M_3mob_c + M_ala__L_c <=> M_pyr_c + M_val__L_c,R01215,R01215,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_X5PL3E,M_xu5p__L_c => M_ru5p__L_c,R03244,R03244,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_XAND,M_h2o_c + M_nad_c + M_xan_c => M_urate_c + M_h_c + M_nadh_c,R02103,R02103,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_XPPT,M_prpp_c + M_xan_c => M_ppi_c + M_xmp_c,R02142,R02142,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_XTSNH,M_h2o_c + M_xtsn_c => M_rib__D_c + M_xan_c,R02143,R02143,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_XYLI1,M_xyl__D_c <=> M_xylu__D_c,R01432,R01432,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_XYLI2,M_glc__D_c <=> M_fru_c,R00307,R00307,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_XYLK,M_xylu__D_c + M_atp_c => M_xu5p__D_c + M_adp_c + M_h_c,R01639,R01639,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_XYLK2,M_atp_c + M_xylu__L_c => M_adp_c + M_h_c + M_xu5p__L_c,R01901,R01901,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_XYLTD_D,M_xylt_c + M_nad_c <=> M_h_c + M_nadh_c + M_xylu__D_c,R01896,R01896,1,,chebi,10127,False,True,,0, +BIOMD0000001062,R_r0085,M_HC00591_c + M_h2o_c => M_akg_c + M_nh4_c,R00269,R00269,1,,chebi,10127,False,True,,0, +BIOMD0000001063,r_0001,s_0025__91__c__93__ + 2 s_0709__91__m__93__ => 2 s_0710__91__m__93__ + s_1399__91__c__93__,R00197,R00197,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0002,s_0027__91__m__93__ + 2 s_0709__91__m__93__ => 2 s_0710__91__m__93__ + s_1401__91__m__93__,R00197,R00197,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0003,s_0035__91__c__93__ + s_1198__91__c__93__ <=> s_0020__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R02946,R02946,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0004,s_0063__91__c__93__ + 2 s_0709__91__m__93__ => 2 s_0710__91__m__93__ + s_1399__91__c__93__,R00196,R00196,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0005,s_1543__91__c__93__ => s_0001__91__ce__93__ + s_0794__91__c__93__ + s_1538__91__c__93__,R03118,R03118,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0007,s_0077__91__c__93__ => s_0312__91__c__93__,R04640,R04640,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0012,s_0119__91__m__93__ + 2 s_0807__91__m__93__ + s_1200__91__m__93__ => s_0799__91__m__93__ + s_0993__91__m__93__ + s_1205__91__m__93__,R00707,R00707,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0014,s_0142__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0313__91__c__93__ + s_0419__91__c__93__,R09377,R09377,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0015,s_0141__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0142__91__c__93__ + s_1207__91__c__93__,R09376,R09376,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0016,s_0179__91__m__93__ + s_0799__91__m__93__ + s_1401__91__m__93__ => s_0039__91__m__93__ + s_0460__91__m__93__,R08648,R08648,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0017,s_0148__91__m__93__ + s_0437__91__m__93__ => s_0006__91__m__93__ + s_0424__91__m__93__ + s_0799__91__m__93__,R03503,R03503,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0018,s_0176__91__c__93__ + s_0991__91__c__93__ <=> s_0180__91__c__93__ + s_0953__91__c__93__,R01939,R01939,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0019,s_0149__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0030__91__c__93__ + s_1207__91__c__93__,R02472,R02472,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0020,s_0552__91__m__93__ + s_0807__91__m__93__ + s_1361__91__m__93__ => s_0350__91__m__93__ + s_1326__91__m__93__,R01826,R01826,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0021,s_0155__91__m__93__ + s_1419__91__m__93__ => s_0156__91__m__93__ + s_0799__91__m__93__ + s_1415__91__m__93__,R04983,R04983,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0022,s_0157__91__m__93__ + s_1278__91__m__93__ => s_0155__91__m__93__ + s_0807__91__m__93__,R04982,R04982,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0023,s_0165__91__c__93__ + s_0803__91__c__93__ <=> s_0162__91__c__93__,R03968,R03968,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0024,s_0232__91__c__93__ + s_0373__91__c__93__ + s_0803__91__c__93__ => s_0162__91__c__93__ + s_0529__91__c__93__ + s_0794__91__c__93__,R01213,R01213,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0025,s_0233__91__m__93__ + s_0376__91__m__93__ + s_0807__91__m__93__ => s_0164__91__m__93__ + s_0532__91__m__93__ + s_0799__91__m__93__,R01213,R01213,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0026,s_0294__91__c__93__ + s_0991__91__c__93__ => s_0180__91__c__93__ + s_1029__91__c__93__,R07396,R07396,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0027,s_0834__91__m__93__ <=> s_0454__91__m__93__ + s_0807__91__m__93__,R03444,R03444,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0028,s_0807__91__m__93__ + s_1273__91__m__93__ + s_1382__91__m__93__ => s_0174__91__m__93__ + s_0532__91__m__93__ + s_0799__91__m__93__,R00931,R00931,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0029,s_0010__91__c__93__ + s_0794__91__c__93__ => s_0291__91__c__93__ + s_0456__91__c__93__,R01652,R01652,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0030,s_0011__91__m__93__ + s_0799__91__m__93__ => s_0292__91__m__93__ + s_0460__91__m__93__,R01652,R01652,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0032,s_0390__91__c__93__ + s_0803__91__c__93__ => s_0423__91__c__93__ + s_1322__91__c__93__,R00188,R00188,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0033,s_0192__91__c__93__ + s_0803__91__c__93__ => s_0423__91__c__93__ + s_0794__91__c__93__,R00191,R00191,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0036,s_0195__91__c__93__ + s_0803__91__c__93__ => s_0782__91__c__93__ + s_0794__91__c__93__,R01234,R01234,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0038,s_0577__91__c__93__ => s_0158__91__c__93__ + s_0722__91__c__93__ + s_0794__91__c__93__,R07281,R07281,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0039,s_0210__91__c__93__ => s_0211__91__c__93__ + s_0803__91__c__93__,R03084,R03084,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0040,s_0349__91__c__93__ => s_0210__91__c__93__ + s_1322__91__c__93__,R03083,R03083,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0041,s_0231__91__er__93__ + s_0795__91__er__93__ + s_1213__91__er__93__ => s_1208__91__er__93__ + s_1445__91__er__93__,R02978,R02978,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0042,s_0551__91__c__93__ + s_0803__91__c__93__ + s_1360__91__c__93__ => s_0349__91__c__93__ + s_1322__91__c__93__,R01826,R01826,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0043,s_0215__91__c__93__ + 0.5 s_1275__91__c__93__ => s_0212__91__c__93__,R06865,R06865,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0044,s_0214__91__m__93__ + s_0799__91__m__93__ => s_0157__91__m__93__ + s_0460__91__m__93__,R06866,R06866,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0045,s_0222__91__c__93__ + s_0803__91__c__93__ => s_0224__91__c__93__ + s_0794__91__c__93__ + s_0955__91__c__93__,R02668,R02668,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0057,s_0054__91__p__93__ + s_1202__91__p__93__ => s_0257__91__p__93__ + s_0801__91__p__93__ + s_1206__91__p__93__,R04739,R04739,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0058,s_0224__91__c__93__ + s_1275__91__c__93__ => s_0147__91__c__93__,R02665,R02665,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0060,s_0009__91__c__93__ <=> s_0165__91__c__93__ + s_0803__91__c__93__,R04001,R04001,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0061,s_0009__91__c__93__ + s_1198__91__c__93__ => s_0010__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R04426,R04426,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0063,s_0233__91__m__93__ + s_0307__91__m__93__ + s_0807__91__m__93__ => s_0150__91__m__93__ + s_1488__91__m__93__,R01226,R01226,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0064,s_0056__91__c__93__ + s_0794__91__c__93__ => s_0166__91__c__93__ + s_0456__91__c__93__,R03894,R03894,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0065,s_0261__91__c__93__ + s_1360__91__c__93__ => s_0324__91__c__93__ + s_1322__91__c__93__,R03460,R03460,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0066,s_0515__91__c__93__ + s_0999__91__c__93__ => s_0269__91__c__93__ + s_0991__91__c__93__,R01716,R01716,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0067,s_0269__91__c__93__ => s_0271__91__c__93__ + s_0794__91__c__93__ + s_1399__91__c__93__,R05553,R05553,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0068,s_0180__91__c__93__ + s_0734__91__c__93__ => s_0991__91__c__93__ + s_1461__91__c__93__,R01648,R01648,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0069,s_0264__91__c__93__ + s_0803__91__c__93__ => s_0285__91__c__93__ + s_1322__91__c__93__,R05086,R05086,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0070,s_0290__91__m__93__ + s_0807__91__m__93__ => s_0287__91__m__93__ + s_0532__91__m__93__ + s_0799__91__m__93__,R01301,R01301,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0073,s_0279__91__c__93__ + s_0803__91__c__93__ => s_0794__91__c__93__ + s_1158__91__c__93__ + s_1322__91__c__93__,R05779,R05779,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0075,s_0303__91__c__93__ + s_1322__91__c__93__ => s_0383__91__c__93__ + s_1422__91__c__93__,R01402,R01402,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0076,s_0526__91__c__93__ + s_0803__91__c__93__ => s_0543__91__c__93__ + s_1322__91__c__93__,R00511,R00511,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0077,s_0803__91__c__93__ + s_0849__91__c__93__ => s_0856__91__c__93__ + s_1322__91__c__93__,R01126,R01126,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0078,s_0803__91__c__93__ + s_1545__91__c__93__ => s_1322__91__c__93__ + s_1556__91__c__93__,R00963,R00963,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0079,s_0301__91__c__93__ + s_0434__91__c__93__ + s_0803__91__c__93__ + s_0999__91__c__93__ => s_0302__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__ + s_0991__91__c__93__ + s_1322__91__c__93__,R04463,R04463,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0080,s_0306__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0322__91__c__93__ + s_1207__91__c__93__,R01224,R01224,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0081,s_0799__91__m__93__ + s_1005__91__m__93__ + s_1464__91__m__93__ => s_0317__91__m__93__ + s_0460__91__m__93__ + s_0532__91__m__93__,R00830,R00830,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0082,s_0318__91__c__93__ + s_0803__91__c__93__ => s_0794__91__c__93__ + s_1158__91__c__93__ + s_1322__91__c__93__,R05779,R05779,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0083,s_0434__91__c__93__ + s_1158__91__c__93__ => s_0318__91__c__93__ + s_0394__91__c__93__,R09087,R09087,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0084,s_0319__91__c__93__ + s_0434__91__c__93__ => s_0304__91__c__93__ + s_0394__91__c__93__ + s_1322__91__c__93__,R02301,R02301,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0085,s_0323__91__c__93__ + s_1012__91__c__93__ => s_1029__91__c__93__ + s_1486__91__c__93__,R04405,R04405,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0086,s_1423__91__c__93__ => s_0311__91__c__93__ + s_0803__91__c__93__,R07392,R07392,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0087,s_1422__91__c__93__ <=> s_1423__91__c__93__,R04420,R04420,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0091,s_0335__91__c__93__ + s_0803__91__c__93__ => s_0340__91__c__93__ + s_0794__91__c__93__,R02035,R02035,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0092,s_0333__91__c__93__ + s_0803__91__c__93__ => s_0794__91__c__93__ + s_1158__91__c__93__ + s_1322__91__c__93__,R05779,R05779,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0094,s_0794__91__c__93__ + s_0955__91__c__93__ + s_1368__91__c__93__ => s_0352__91__c__93__ + s_0456__91__c__93__ + s_0529__91__c__93__,R03210,R03210,1,,chebi,2342,False,True,,0, 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s_1258__91__p__93__,R03778,R03778,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0107,s_0247__91__p__93__ + s_0534__91__p__93__ => s_0378__91__p__93__ + s_0605__91__p__93__,R04742,R04742,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0108,s_0376__91__m__93__ + s_0437__91__m__93__ + s_0447__91__m__93__ => s_0397__91__m__93__ + s_0799__91__m__93__ + s_1104__91__m__93__ + s_1326__91__m__93__,R00742,R00742,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0109,s_0373__91__c__93__ + s_0434__91__c__93__ + s_0445__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1101__91__c__93__ + s_1322__91__c__93__,R00742,R00742,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0111,s_0376__91__m__93__ + s_0807__91__m__93__ => s_0365__91__m__93__ + s_0532__91__m__93__ + s_0799__91__m__93__,R00227,R00227,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0112,s_0362__91__c__93__ + s_0434__91__c__93__ + s_0529__91__c__93__ => s_0373__91__c__93__ + s_0423__91__c__93__ + s_0633__91__c__93__,R00235,R00235,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0113,s_0365__91__m__93__ + s_0437__91__m__93__ + s_0532__91__m__93__ => s_0376__91__m__93__ + s_0424__91__m__93__ + s_0636__91__m__93__,R00235,R00235,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0114,s_0366__91__n__93__ + s_0438__91__n__93__ + s_0533__91__n__93__ => s_0377__91__n__93__ + s_0425__91__n__93__ + s_0637__91__n__93__,R00235,R00235,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0115,s_0437__91__m__93__ + s_1192__91__m__93__ => s_0397__91__m__93__ + s_1191__91__m__93__,R02649,R02649,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0116,s_0715__91__e__93__ + s_0805__91__e__93__ => s_1324__91__e__93__ + s_1406__91__e__93__,R00548,R00548,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0118,s_0145__91__m__93__ + s_0993__91__m__93__ => s_0182__91__m__93__ + s_1182__91__m__93__,R02283,R02283,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0119,s_0532__91__m__93__ + s_0807__91__m__93__ => s_0392__91__m__93__ + 2 s_0799__91__m__93__ + s_1308__91__m__93__,R10747,R10747,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0138,s_0383__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0419__91__c__93__ + s_0843__91__c__93__,R01244,R01244,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0139,s_0383__91__c__93__ + s_1386__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__,R00190,R00190,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0140,s_0386__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0419__91__c__93__ + s_0856__91__c__93__,R01560,R01560,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0142,s_0386__91__c__93__ + s_0434__91__c__93__ => s_0394__91__c__93__ + s_0423__91__c__93__ + s_0794__91__c__93__,R00185,R00185,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0143,s_0423__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0419__91__c__93__ + s_0849__91__c__93__,R00181,R00181,1,,chebi,2342,False,True,,0, 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+BIOMD0000001063,r_0152,s_0393__91__c__93__ <=> s_0423__91__c__93__ + s_0725__91__c__93__,R01083,R01083,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0153,s_0785__91__c__93__ + s_0849__91__c__93__ + s_0973__91__c__93__ => s_0393__91__c__93__ + s_0739__91__c__93__ + 2 s_0794__91__c__93__ + s_1322__91__c__93__,R01135,R01135,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0154,s_0298__91__c__93__ + s_0434__91__c__93__ => s_0201__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__,R00509,R00509,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0156,s_0779__91__c__93__ + s_0955__91__c__93__ => s_1003__91__c__93__ + s_1399__91__c__93__,R00369,R00369,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0157,s_0434__91__c__93__ + s_0955__91__c__93__ + s_1582__91__c__93__ => s_0404__91__c__93__ + s_0423__91__c__93__ + s_0633__91__c__93__,R03038,R03038,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0163,s_0680__91__c__93__ + s_1198__91__c__93__ => s_0359__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R00754,R00754,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0164,s_0570__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0765__91__c__93__ + s_1207__91__c__93__,R01041,R01041,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0165,s_0361__91__m__93__ + s_0799__91__m__93__ + s_1205__91__m__93__ => s_0682__91__m__93__ + s_1200__91__m__93__,R00754,R00754,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0169,s_0794__91__c__93__ + s_1203__91__c__93__ + s_1318__91__c__93__ => s_0185__91__c__93__ + s_1198__91__c__93__,R02611,R02611,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0170,s_0799__91__m__93__ + s_1205__91__m__93__ + s_1320__91__m__93__ => s_0187__91__m__93__ + s_1200__91__m__93__,R02611,R02611,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0172,s_0208__91__c__93__ + s_0803__91__c__93__ + s_1198__91__c__93__ => s_0441__91__c__93__ + 2 s_0794__91__c__93__ + s_1203__91__c__93__,R00904,R00904,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0173,s_0359__91__c__93__ + s_0803__91__c__93__ + s_1207__91__c__93__ => s_0362__91__c__93__ + 2 s_0794__91__c__93__ + s_1212__91__c__93__,R00711,R00711,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0174,s_0361__91__m__93__ + s_0807__91__m__93__ + s_1200__91__m__93__ => s_0365__91__m__93__ + 2 s_0799__91__m__93__ + s_1205__91__m__93__,R00710,R00710,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0175,s_0361__91__m__93__ + s_0807__91__m__93__ + s_1210__91__m__93__ => s_0365__91__m__93__ + 2 s_0799__91__m__93__ + s_1214__91__m__93__,R00711,R00711,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0176,s_0807__91__m__93__ + s_0852__91__m__93__ + s_1200__91__m__93__ => 2 s_0799__91__m__93__ + s_0854__91__m__93__ + s_1205__91__m__93__,R02678,R02678,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0179,s_0234__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__ => s_0929__91__c__93__ + s_1198__91__c__93__,R05685,R05685,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0180,s_0236__91__m__93__ + s_0799__91__m__93__ + s_1205__91__m__93__ => s_0931__91__m__93__ + s_1200__91__m__93__,R05685,R05685,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0181,s_0234__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0929__91__c__93__ + s_1207__91__c__93__,R05686,R05686,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0185,s_0803__91__c__93__ + s_1198__91__c__93__ + s_1318__91__c__93__ => 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_1321__91__c__93__,R02536,R02536,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0186,s_0794__91__c__93__ + s_0850__91__c__93__ + s_1203__91__c__93__ => s_1198__91__c__93__ + s_1529__91__c__93__,R02679,R02679,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0187,s_0799__91__m__93__ + s_0852__91__m__93__ + s_1205__91__m__93__ => s_1200__91__m__93__ + s_1531__91__m__93__,R02679,R02679,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0188,s_0346__91__c__93__ + 3 s_0803__91__c__93__ => s_0343__91__c__93__ + 2 s_0794__91__c__93__ + 3 s_1322__91__c__93__,R04620,R04620,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0189,s_0405__91__c__93__ + s_0803__91__c__93__ <=> s_1552__91__c__93__ + s_1555__91__c__93__,R02422,R02422,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0190,s_0407__91__c__93__ + s_0803__91__c__93__ <=> s_0405__91__c__93__ + s_0794__91__c__93__,R02424,R02424,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0191,3 s_0794__91__c__93__ + s_0803__91__c__93__ + s_1554__91__c__93__ => 2 s_0419__91__c__93__ + 2 s_0456__91__c__93__,R00005,R00005,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0192,s_0444__91__g__93__ + s_0744__91__g__93__ + s_0797__91__g__93__ => s_0414__91__g__93__ + s_0740__91__g__93__,R05002,R05002,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0193,s_0810__91__v__93__ + s_1522__91__v__93__ => 2 s_0566__91__v__93__,R00010,R00010,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0194,s_0803__91__c__93__ + s_1520__91__c__93__ => 2 s_0563__91__c__93__,R00010,R00010,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0195,s_0568__91__c__93__ + s_1543__91__c__93__ => s_0409__91__c__93__ + s_0794__91__c__93__ + s_1538__91__c__93__,R00836,R00836,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0198,s_0803__91__c__93__ + s_1105__91__c__93__ => 2 s_0563__91__c__93__,R00028,R00028,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0199,s_0280__91__c__93__ + s_0803__91__c__93__ => s_0281__91__c__93__ + s_0419__91__c__93__,R03180,R03180,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0200,s_0418__91__c__93__ + s_0803__91__c__93__ + s_1275__91__c__93__ => s_0419__91__c__93__ + s_0837__91__c__93__ + s_1151__91__c__93__,R02529,R02529,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0201,s_0275__91__m__93__ + s_0807__91__m__93__ + s_1200__91__m__93__ => s_0738__91__m__93__ + 2 s_0799__91__m__93__ + s_1205__91__m__93__,R02549,R02549,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0202,s_0427__91__c__93__ + s_1386__91__c__93__ => s_0633__91__c__93__ + s_1187__91__c__93__,R01073,R01073,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0203,s_0515__91__c__93__ + s_0999__91__c__93__ => s_0427__91__c__93__ + s_0794__91__c__93__ + s_0991__91__c__93__ + s_1399__91__c__93__,R00986,R00986,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0204,s_0803__91__c__93__ + s_1282__91__c__93__ <=> 2 s_0394__91__c__93__ + 2 s_0794__91__c__93__,R00125,R00125,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0205,s_0794__91__c__93__ + s_0963__91__c__93__ + s_1212__91__c__93__ => s_0961__91__c__93__ + s_1207__91__c__93__,R01759,R01759,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0206,s_0803__91__c__93__ + s_0965__91__c__93__ => s_1266__91__c__93__ + s_1552__91__c__93__,R00551,R00551,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0207,s_0015__91__c__93__ <=> s_0725__91__c__93__ + s_0965__91__c__93__,R01086,R01086,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0208,s_0434__91__c__93__ + s_0973__91__c__93__ + s_0979__91__c__93__ <=> s_0015__91__c__93__ + s_0423__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__,R01954,R01954,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0209,s_0434__91__c__93__ + s_0965__91__c__93__ + s_1583__91__c__93__ => s_0423__91__c__93__ + s_0428__91__c__93__ + s_0633__91__c__93__,R03646,R03646,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0210,s_0437__91__m__93__ + s_0967__91__m__93__ + s_1584__91__m__93__ => s_0424__91__m__93__ + s_0429__91__m__93__ + s_0636__91__m__93__,R03646,R03646,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0211,s_0434__91__c__93__ + s_0803__91__c__93__ + s_0973__91__c__93__ + s_0999__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__ + s_0969__91__c__93__ + s_0991__91__c__93__,R00578,R00578,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0212,s_0434__91__c__93__ + s_0969__91__c__93__ + s_1585__91__c__93__ => s_0423__91__c__93__ + s_0430__91__c__93__ + s_0633__91__c__93__,R03648,R03648,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0213,s_0437__91__m__93__ + s_0971__91__m__93__ + s_1586__91__m__93__ => s_0424__91__m__93__ + s_0431__91__m__93__ + s_0636__91__m__93__,R03648,R03648,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0214,s_0455__91__c__93__ + s_0973__91__c__93__ => s_0794__91__c__93__ + s_1194__91__c__93__ + s_1322__91__c__93__,R01397,R01397,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0215,s_0434__91__c__93__ + s_0973__91__c__93__ => s_0295__91__c__93__ + s_0394__91__c__93__,R00480,R00480,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0216,s_0180__91__c__93__ + s_0973__91__c__93__ <=> s_0991__91__c__93__ + s_1271__91__c__93__,R00355,R00355,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0217,s_0993__91__m__93__ + s_1273__91__m__93__ => s_0182__91__m__93__ + s_0975__91__m__93__,R00355,R00355,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0218,s_0184__91__p__93__ + s_0976__91__p__93__ <=> s_0995__91__p__93__ + s_1274__91__p__93__,R00355,R00355,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0219,s_0295__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0978__91__c__93__ + s_1207__91__c__93__ + s_1322__91__c__93__,R02291,R02291,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0220,s_0434__91__c__93__ + s_0973__91__c__93__ + s_1587__91__c__93__ => s_0423__91__c__93__ + s_0432__91__c__93__ + s_0633__91__c__93__,R05577,R05577,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0221,s_0437__91__m__93__ + s_0975__91__m__93__ + s_1588__91__m__93__ => s_0424__91__m__93__ + s_0433__91__m__93__ + s_0636__91__m__93__,R05577,R05577,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0222,s_0394__91__c__93__ + s_0434__91__c__93__ + s_0794__91__c__93__ => s_1282__91__c__93__ + s_1322__91__c__93__,R00126,R00126,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0225,s_0434__91__c__93__ + s_1386__91__c__93__ => s_0326__91__c__93__ + s_0633__91__c__93__,R01071,R01071,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0227,s_0434__91__c__93__ + s_0803__91__c__93__ => s_0394__91__c__93__ + s_0796__91__e__93__ + s_1322__91__c__93__,R00086,R00086,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0228,s_0743__91__c__93__ + s_1184__91__c__93__ => s_0443__91__c__93__ + s_0739__91__c__93__ + s_0794__91__c__93__,R04502,R04502,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0230,s_0434__91__c__93__ + s_0451__91__c__93__ + s_0794__91__c__93__ => s_0453__91__c__93__ + s_0633__91__c__93__,R01074,R01074,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0231,s_0262__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0122__91__c__93__ + s_1207__91__c__93__,R05639,R05639,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0233,s_0664__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ + s_1275__91__c__93__ => s_0662__91__c__93__ + 2 s_0803__91__c__93__ + s_1207__91__c__93__,R07506,R07506,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0236,s_0209__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0296__91__c__93__ + s_1207__91__c__93__,R07495,R07495,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0241,s_0122__91__c__93__ + 5 s_0794__91__c__93__ + 3 s_1275__91__c__93__ + 6 s_4209__91__erm__93__ => s_0297__91__c__93__ + 4 s_0803__91__c__93__ + 6 s_4210__91__erm__93__,R07509,R07509,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0243,s_0700__91__c__93__ => s_0657__91__c__93__,R07497,R07497,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0244,s_0663__91__er__93__ + s_0795__91__er__93__ + s_1213__91__er__93__ => s_0667__91__er__93__ + s_1208__91__er__93__,R05641,R05641,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0249,s_0286__91__c__93__ + s_1231__91__c__93__ => s_0633__91__c__93__ + s_1230__91__c__93__,R07273,R07273,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0250,2 s_0434__91__c__93__ + s_0445__91__c__93__ + s_0803__91__c__93__ + s_0999__91__c__93__ => 2 s_0394__91__c__93__ + s_0455__91__c__93__ + 2 s_0794__91__c__93__ + s_0991__91__c__93__ + s_1322__91__c__93__,R00575,R00575,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0252,s_0021__91__c__93__ + s_0373__91__c__93__ => s_0529__91__c__93__ + s_1235__91__c__93__,R02396,R02396,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0253,s_0024__91__p__93__ + s_0378__91__p__93__ => s_0534__91__p__93__ + s_1237__91__p__93__,R02396,R02396,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0254,s_0532__91__m__93__ + s_1236__91__m__93__ => s_0023__91__m__93__ + s_0376__91__m__93__,R02396,R02396,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0255,2 s_0837__91__c__93__ => 2 s_0803__91__c__93__ + s_1275__91__c__93__,R00009,R00009,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0256,2 s_0840__91__p__93__ => 2 s_0809__91__p__93__ + s_1279__91__p__93__,R00009,R00009,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0264,s_0817__91__er__93__ + s_1445__91__er__93__ => s_0478__91__er__93__ + s_0530__91__er__93__ + s_0795__91__er__93__,R06517,R06517,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0266,s_0817__91__er__93__ + s_1366__91__er__93__ => s_0484__91__er__93__ + s_0530__91__er__93__ + s_0795__91__er__93__,R06527,R06527,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0271,s_0509__91__c__93__ + s_0803__91__c__93__ => s_0362__91__c__93__ + s_0510__91__ce__93__ + s_0794__91__c__93__,R02333,R02333,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0272,s_1544__91__c__93__ => s_0509__91__c__93__ + s_0794__91__c__93__ + s_1538__91__c__93__,R02335,R02335,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0273,s_0434__91__c__93__ + s_0512__91__c__93__ => s_0394__91__c__93__ + s_0514__91__c__93__ + s_0794__91__c__93__,R01021,R01021,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0274,s_0514__91__c__93__ + s_0539__91__c__93__ + s_0794__91__c__93__ => s_0469__91__c__93__ + s_0633__91__c__93__,R01890,R01890,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0278,s_0515__91__c__93__ => s_1377__91__c__93__,R01715,R01715,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0279,s_0324__91__c__93__ => s_0515__91__c__93__ + s_1322__91__c__93__,R01714,R01714,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0280,s_0517__91__m__93__ + s_0807__91__m__93__ <=> s_0941__91__m__93__,R01900,R01900,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0281,s_0692__91__lp__93__ + s_0944__91__lp__93__ => s_0635__91__lp__93__ + s_0746__91__lp__93__,R02061,R02061,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0282,s_0746__91__lp__93__ + s_0944__91__lp__93__ => s_0635__91__lp__93__ + s_1312__91__lp__93__,R07475,R07475,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0283,s_0944__91__lp__93__ + s_1312__91__lp__93__ => s_0635__91__lp__93__ + s_0830__91__lp__93__,R05613,R05613,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0284,s_0830__91__lp__93__ + s_0944__91__lp__93__ => s_0635__91__lp__93__ + s_0815__91__lp__93__,R05612,R05612,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0285,s_0815__91__lp__93__ + s_0944__91__lp__93__ => s_0635__91__lp__93__ + s_1259__91__lp__93__,R05611,R05611,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0286,s_0944__91__lp__93__ + s_1259__91__lp__93__ => s_0635__91__lp__93__ + s_1232__91__lp__93__,R07267,R07267,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0287,s_0944__91__lp__93__ + s_1232__91__lp__93__ => s_0606__91__lp__93__ + s_0635__91__lp__93__,R08747,R08747,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0300,s_0376__91__m__93__ + s_0807__91__m__93__ + s_1273__91__m__93__ => s_0524__91__m__93__ + s_0532__91__m__93__ + s_0799__91__m__93__,R00351,R00351,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0301,s_0378__91__p__93__ + s_0809__91__p__93__ + s_1274__91__p__93__ => s_0525__91__p__93__ + s_0534__91__p__93__ + s_0801__91__p__93__,R00351,R00351,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0302,s_0524__91__m__93__ <=> s_0517__91__m__93__ + s_0807__91__m__93__,R01325,R01325,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0303,s_0522__91__c__93__ <=> s_0516__91__c__93__ + s_0803__91__c__93__,R01325,R01325,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0304,s_0538__91__c__93__ + 2 s_0794__91__c__93__ + s_1275__91__c__93__ => 2 s_0456__91__c__93__ + 2 s_0803__91__c__93__ + s_1384__91__c__93__,R03220,R03220,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0306,s_0434__91__c__93__ + s_0803__91__c__93__ + s_0999__91__c__93__ + s_1559__91__c__93__ => s_0394__91__c__93__ + s_0539__91__c__93__ + 2 s_0794__91__c__93__ + s_0991__91__c__93__ + s_1322__91__c__93__,R00573,R00573,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0307,s_0419__91__c__93__ + s_0434__91__c__93__ + s_1559__91__c__93__ => s_0394__91__c__93__ + s_0539__91__c__93__ + 2 s_0794__91__c__93__ + s_1322__91__c__93__,R00571,R00571,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0308,s_0803__91__c__93__ + s_0980__91__c__93__ => s_0419__91__c__93__ + s_1012__91__c__93__ + s_1399__91__c__93__,R01286,R01286,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0309,s_1012__91__c__93__ + s_1039__91__c__93__ => s_0803__91__c__93__ + s_0980__91__c__93__,R01290,R01290,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0310,s_0803__91__c__93__ + s_0980__91__c__93__ => s_0178__91__c__93__ + s_0419__91__c__93__ + s_0981__91__c__93__,R01001,R01001,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0311,s_0981__91__c__93__ + s_1233__91__c__93__ => s_0362__91__c__93__ + s_0794__91__c__93__ + s_0980__91__c__93__,R03217,R03217,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0312,s_0841__91__c__93__ + s_1234__91__c__93__ => s_0362__91__c__93__ + s_0981__91__c__93__,R00897,R00897,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0313,s_0434__91__c__93__ + s_0981__91__c__93__ + s_1589__91__c__93__ => s_0423__91__c__93__ + s_0542__91__c__93__ + s_0633__91__c__93__,R03650,R03650,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0314,s_0543__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0419__91__c__93__ + s_1556__91__c__93__,R01878,R01878,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0315,s_0543__91__c__93__ + s_0785__91__c__93__ => s_0526__91__c__93__ + s_0739__91__c__93__ + s_0794__91__c__93__,R00517,R00517,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0317,2 s_0794__91__c__93__ + s_1059__91__c__93__ + 3 s_1212__91__c__93__ + 3 s_1275__91__c__93__ => s_0262__91__c__93__ + s_0722__91__c__93__ + 4 s_0803__91__c__93__ + 3 s_1207__91__c__93__,R05640,R05640,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0318,s_0545__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0419__91__c__93__ + s_1550__91__c__93__,R00974,R00974,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0319,s_0547__91__c__93__ + s_1275__91__c__93__ => s_0607__91__c__93__ + s_0794__91__c__93__ + s_0837__91__c__93__,R02715,R02715,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0320,s_0548__91__c__93__ + s_1198__91__c__93__ => s_0547__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R01574,R01574,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0321,s_0548__91__c__93__ + s_1207__91__c__93__ => s_0547__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__,R01575,R01575,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0322,s_0556__91__c__93__ <=> s_0570__91__c__93__ + s_0629__91__c__93__,R02568,R02568,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0323,s_0561__91__c__93__ + s_1198__91__c__93__ => s_0553__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R00875,R00875,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0326,s_0589__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ <=> s_0419__91__c__93__ + s_0654__91__c__93__,R01663,R01663,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0327,s_0590__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0419__91__c__93__ + s_0656__91__c__93__,R02325,R02325,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0328,s_0132__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0136__91__c__93__ + s_0419__91__c__93__,R02556,R02556,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0329,s_0610__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0138__91__c__93__ + s_0419__91__c__93__,R02485,R02485,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0330,s_0434__91__c__93__ + s_0615__91__c__93__ <=> s_0394__91__c__93__ + s_0613__91__c__93__,R02090,R02090,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0332,s_0152__91__c__93__ + s_0434__91__c__93__ => s_0153__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__,R02750,R02750,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0334,s_0200__91__m__93__ + s_0437__91__m__93__ => s_0397__91__m__93__ + s_0532__91__m__93__ + s_0799__91__m__93__,R00130,R00130,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0335,s_0341__91__c__93__ + s_0434__91__c__93__ + s_0456__91__c__93__ <=> s_0394__91__c__93__ + s_0612__91__c__93__ + 3 s_0794__91__c__93__ + s_1322__91__c__93__,R03182,R03182,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0344,s_0625__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_1207__91__c__93__ + s_1487__91__c__93__,R00939,R00939,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0345,s_0626__91__m__93__ + s_0799__91__m__93__ + s_1214__91__m__93__ => s_1210__91__m__93__ + s_1488__91__m__93__,R00939,R00939,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0346,s_0347__91__c__93__ + s_0434__91__c__93__ + s_0991__91__c__93__ => s_0394__91__c__93__ + s_0625__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R02237,R02237,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0347,s_0344__91__m__93__ => s_0148__91__m__93__ + s_0777__91__m__93__,R03504,R03504,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0348,s_0345__91__c__93__ + s_0803__91__c__93__ => s_0343__91__c__93__ + s_1322__91__c__93__,R04621,R04621,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0349,s_0061__91__c__93__ + s_0803__91__c__93__ <=> s_0794__91__c__93__ + s_1194__91__c__93__,R01993,R01993,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0350,s_0148__91__m__93__ + s_0273__91__m__93__ => s_0348__91__m__93__ + s_0807__91__m__93__,R03066,R03066,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0351,s_0006__91__m__93__ + s_0273__91__m__93__ => s_0348__91__m__93__ + s_0636__91__m__93__,R03067,R03067,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0352,s_0016__91__m__93__ => s_0233__91__m__93__ + s_0807__91__m__93__,R04441,R04441,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0353,s_0008__91__m__93__ => s_0060__91__m__93__ + s_0807__91__m__93__,R05070,R05070,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0354,s_0434__91__c__93__ + s_0771__91__c__93__ => s_0394__91__c__93__ + s_0629__91__c__93__ + s_0794__91__c__93__,R01011,R01011,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0355,s_0943__91__c__93__ + s_1376__91__c__93__ => s_0633__91__c__93__ + s_0745__91__c__93__,R01658,R01658,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0356,s_0075__91__c__93__ <=> s_0140__91__c__93__ + s_0794__91__c__93__,R01662,R01662,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0359,s_0143__91__c__93__ + s_1416__91__c__93__ => s_0144__91__c__93__ + s_0794__91__c__93__ + s_1413__91__c__93__,R04481,R04481,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0360,s_0539__91__c__93__ + s_0642__91__c__93__ + s_0794__91__c__93__ => s_0467__91__c__93__ + s_0645__91__c__93__,R01018,R01018,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0361,s_0645__91__c__93__ + s_0743__91__c__93__ => s_0644__91__er__93__ + s_0739__91__c__93__ + s_0794__91__c__93__,R01009,R01009,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0363,s_0434__91__c__93__ + s_0649__91__c__93__ => s_0394__91__c__93__ + s_0647__91__c__93__,R02094,R02094,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0364,s_0656__91__c__93__ + s_0803__91__c__93__ => s_0633__91__c__93__ + s_0654__91__c__93__ + s_0794__91__c__93__,R02100,R02100,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0366,s_0188__91__c__93__ <=> s_0803__91__c__93__ + s_1360__91__c__93__,R00658,R00658,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0368,s_0434__91__c__93__ + s_0683__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1239__91__c__93__,R01468,R01468,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0370,s_0003__91__e__93__ + s_0805__91__e__93__ => s_0565__91__e__93__,R00308,R00308,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0373,s_0190__91__c__93__ + s_0943__91__c__93__ => s_0189__91__c__93__ + s_0633__91__c__93__,R02061,R02061,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0402,s_0439__91__p__93__ + s_0534__91__p__93__ + s_1291__91__p__93__ <=> s_0426__91__p__93__ + s_0638__91__p__93__ + s_1305__91__p__93__,R01280,R01280,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0436,s_0926__91__m__93__ + s_1383__91__m__93__ => s_0712__91__m__93__ + 2 s_0799__91__m__93__,R00310,R00310,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0437,2 s_0710__91__m__93__ + s_0838__91__m__93__ => 2 s_0709__91__m__93__ + 2 s_0807__91__m__93__,R00017,R00017,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0438,s_0710__91__m__93__ + 1.266 s_0799__91__m__93__ + 0.25 s_1278__91__m__93__ => s_0709__91__m__93__ + 0.633 s_0794__91__c__93__ + 0.5 s_0807__91__m__93__,R00081,R00081,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0440,s_0434__91__c__93__ + s_0714__91__c__93__ + s_0794__91__c__93__ => s_0633__91__c__93__ + s_0687__91__c__93__,R00161,R00161,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0441,s_0714__91__c__93__ + 2 s_0794__91__c__93__ + s_1203__91__c__93__ => s_0717__91__c__93__ + s_1198__91__c__93__,R05705,R05705,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0442,s_0714__91__c__93__ + 2 s_0794__91__c__93__ + s_1212__91__c__93__ => s_0717__91__c__93__ + s_1207__91__c__93__,R05706,R05706,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0445,s_0722__91__c__93__ + s_1198__91__c__93__ => s_0456__91__c__93__ + s_1203__91__c__93__,R00519,R00519,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0446,s_0434__91__c__93__ + s_0722__91__c__93__ + s_1487__91__c__93__ <=> s_0120__91__c__93__ + s_0394__91__c__93__ + s_1322__91__c__93__,R00943,R00943,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0447,s_0437__91__m__93__ + s_0724__91__m__93__ + s_1488__91__m__93__ <=> s_0121__91__m__93__ + s_0397__91__m__93__ + s_1326__91__m__93__,R00943,R00943,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0448,s_0442__91__c__93__ + s_0803__91__c__93__ => s_0557__91__c__93__ + s_1322__91__c__93__,R00763,R00763,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0449,s_0555__91__c__93__ + s_0803__91__c__93__ => s_0557__91__c__93__ + s_1322__91__c__93__,R00762,R00762,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0451,s_0727__91__m__93__ + s_0807__91__m__93__ <=> s_0068__91__m__93__,R01082,R01082,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0452,s_0725__91__c__93__ + s_0803__91__c__93__ <=> s_0066__91__c__93__,R01082,R01082,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0453,s_0061__91__c__93__ + s_0725__91__c__93__ => s_1269__91__c__93__ + s_1458__91__c__93__,R01867,R01867,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0454,s_0690__91__m__93__ + s_0727__91__m__93__ <=> s_0688__91__m__93__ + s_0799__91__m__93__ + s_1460__91__m__93__,R00408,R00408,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0455,s_0689__91__c__93__ + s_0725__91__c__93__ <=> s_0687__91__c__93__ + s_0794__91__c__93__ + s_1458__91__c__93__,R00408,R00408,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0458,s_0434__91__c__93__ + s_0558__91__c__93__ => s_0394__91__c__93__ + s_0410__91__c__93__ + s_0794__91__c__93__,R01092,R01092,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0459,s_0410__91__c__93__ + s_0794__91__c__93__ + s_1559__91__c__93__ => s_0633__91__c__93__ + s_1541__91__c__93__,R00502,R00502,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0460,s_0434__91__c__93__ + s_0981__91__c__93__ + s_0991__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_0988__91__c__93__ + s_1322__91__c__93__,R00894,R00894,1,,chebi,2342,False,True,,0, 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s_0180__91__c__93__ + s_0419__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R00243,R00243,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0471,s_0180__91__c__93__ + s_0419__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_0803__91__c__93__ + s_0991__91__c__93__ + s_1207__91__c__93__,R00248,R00248,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0472,s_0180__91__c__93__ + s_0794__91__c__93__ + s_0999__91__c__93__ + s_1203__91__c__93__ => 2 s_0991__91__c__93__ + s_1198__91__c__93__,R00093,R00093,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0473,s_0794__91__c__93__ + s_0986__91__c__93__ + s_1212__91__c__93__ => s_0997__91__c__93__ + s_1207__91__c__93__ + s_1322__91__c__93__,R03313,R03313,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0475,s_0803__91__c__93__ + s_0999__91__c__93__ => s_0419__91__c__93__ + s_0991__91__c__93__,R00256,R00256,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0476,s_0419__91__c__93__ + s_0434__91__c__93__ + s_0991__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_0999__91__c__93__ + s_1322__91__c__93__,R00253,R00253,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0477,s_0557__91__c__93__ + s_0999__91__c__93__ => s_0412__91__c__93__ + s_0991__91__c__93__,R00768,R00768,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0478,s_0434__91__c__93__ + s_0999__91__c__93__ + s_1590__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0747__91__c__93__,R03652,R03652,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0479,s_0434__91__c__93__ + s_0991__91__c__93__ + s_1591__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0748__91__c__93__,R05578,R05578,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0480,s_0437__91__m__93__ + s_0993__91__m__93__ + s_1592__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_0749__91__m__93__,R05578,R05578,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0481,s_0754__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => 2 s_0750__91__c__93__ + s_1207__91__c__93__,R00115,R00115,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0482,s_0756__91__m__93__ + s_0799__91__m__93__ + s_1214__91__m__93__ => 2 s_0752__91__m__93__ + s_1210__91__m__93__,R00115,R00115,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0483,2 s_0750__91__c__93__ + s_0837__91__c__93__ => s_0754__91__c__93__ + 2 s_0803__91__c__93__,R00274,R00274,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0484,2 s_0752__91__m__93__ + s_0838__91__m__93__ => s_0756__91__m__93__ + 2 s_0807__91__m__93__,R00274,R00274,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0485,s_0434__91__c__93__ + s_0988__91__c__93__ + s_1003__91__c__93__ => s_0394__91__c__93__ + s_0750__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R00497,R00497,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0486,s_0764__91__c__93__ + s_1198__91__c__93__ + s_1322__91__c__93__ <=> s_0075__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R01061,R01061,1,,chebi,2342,False,True,,0, 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s_1200__91__m__93__,R00842,R00842,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0497,s_0803__91__c__93__ + s_1433__91__c__93__ => s_0512__91__c__93__ + s_0767__91__c__93__ + s_0794__91__c__93__,R01030,R01030,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0499,s_0120__91__c__93__ + s_0325__91__c__93__ => s_0301__91__c__93__ + s_0794__91__c__93__ + s_1487__91__c__93__,R04325,R04325,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0500,s_0529__91__c__93__ + s_0952__91__c__93__ => s_0373__91__c__93__ + s_1003__91__c__93__,R00371,R00371,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0502,s_1039__91__c__93__ + s_1487__91__c__93__ <=> s_0306__91__c__93__ + s_0803__91__c__93__ + s_1003__91__c__93__,R00945,R00945,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0503,s_1042__91__m__93__ + s_1488__91__m__93__ <=> s_0307__91__m__93__ + s_0807__91__m__93__ + s_1005__91__m__93__,R00945,R00945,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0505,s_0627__91__m__93__ + s_1200__91__m__93__ => s_0799__91__m__93__ + s_1097__91__m__93__ + s_1205__91__m__93__,R01698,R01698,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0506,s_1005__91__m__93__ + s_1098__91__m__93__ => s_0460__91__m__93__ + s_1410__91__m__93__,R03425,R03425,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0507,s_0799__91__m__93__ + s_1410__91__m__93__ + s_1488__91__m__93__ => s_0307__91__m__93__ + s_0421__91__m__93__ + s_0628__91__m__93__,R04125,R04125,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0508,s_0628__91__m__93__ + s_1200__91__m__93__ => s_0799__91__m__93__ + s_1098__91__m__93__ + s_1205__91__m__93__,R03815,R03815,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0512,s_0434__91__c__93__ + s_1003__91__c__93__ + s_1593__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0757__91__c__93__,R03654,R03654,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0514,s_0434__91__c__93__ + s_0803__91__c__93__ + s_0999__91__c__93__ + s_1565__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0782__91__c__93__ + 2 s_0794__91__c__93__ + s_0991__91__c__93__,R01231,R01231,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0518,s_0331__91__er__93__ + s_0804__91__er__93__ <=> s_0329__91__er__93__ + s_0363__91__er__93__ + s_0795__91__er__93__,R05917,R05917,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0524,s_0785__91__c__93__ + s_0803__91__c__93__ => s_0346__91__c__93__ + s_0722__91__c__93__ + s_0794__91__c__93__,R00424,R00424,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0525,s_0785__91__c__93__ + 3 s_0803__91__c__93__ => s_0141__91__c__93__ + s_0633__91__c__93__ + s_0722__91__c__93__ + 2 s_0794__91__c__93__,R00425,R00425,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0526,s_0787__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0357__91__c__93__ + s_0419__91__c__93__,R01676,R01676,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0527,s_0787__91__c__93__ + s_1386__91__c__93__ => s_0633__91__c__93__ + s_0782__91__c__93__,R01229,R01229,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0528,s_0434__91__c__93__ + s_0782__91__c__93__ => s_0394__91__c__93__ + s_0739__91__c__93__,R00332,R00332,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0531,s_0191__91__m__93__ + s_0712__91__m__93__ + s_0807__91__m__93__ => s_0636__91__m__93__ + s_0812__91__m__93__,R07411,R07411,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0533,s_0434__91__c__93__ + s_0553__91__c__93__ => s_0394__91__c__93__ + s_0557__91__c__93__ + s_0794__91__c__93__,R00760,R00760,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0534,s_0434__91__c__93__ + s_0563__91__c__93__ => s_0394__91__c__93__ + s_0568__91__c__93__ + s_0794__91__c__93__,R00299,R00299,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0535,s_0434__91__c__93__ + s_0571__91__c__93__ => s_0394__91__c__93__ + s_0574__91__c__93__ + s_0794__91__c__93__,R01326,R01326,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0536,s_0803__91__c__93__ + s_1010__91__c__93__ + 2 s_1198__91__c__93__ => 3 s_0794__91__c__93__ + s_1006__91__c__93__ + 2 s_1203__91__c__93__,R01158,R01158,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0537,s_0803__91__c__93__ + s_1011__91__c__93__ => s_1010__91__c__93__ + s_1322__91__c__93__,R03013,R03013,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0538,s_0207__91__c__93__ + s_0991__91__c__93__ => s_0180__91__c__93__ + s_1011__91__c__93__,R03243,R03243,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0539,s_0434__91__c__93__ + s_1006__91__c__93__ + s_1594__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0832__91__c__93__,R03655,R03655,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0540,s_0437__91__m__93__ + s_1008__91__m__93__ + s_1595__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_0833__91__m__93__,R03655,R03655,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0541,s_1006__91__c__93__ + s_1416__91__c__93__ => s_0794__91__c__93__ + s_1183__91__c__93__ + s_1413__91__c__93__,R01159,R01159,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0542,s_0454__91__m__93__ + s_0807__91__m__93__ <=> s_0836__91__m__93__,R04371,R04371,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0543,s_0183__91__n__93__ + s_0377__91__n__93__ + s_0808__91__n__93__ => s_0533__91__n__93__ + s_0800__91__n__93__ + s_0835__91__n__93__,R00271,R00271,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0544,s_1012__91__c__93__ + s_1416__91__c__93__ => s_0794__91__c__93__ + s_1029__91__c__93__ + s_1413__91__c__93__,R00650,R00650,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0545,s_0836__91__m__93__ + s_1200__91__m__93__ => s_0177__91__m__93__ + s_0460__91__m__93__ + s_1205__91__m__93__,R01934,R01934,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0546,s_0794__91__c__93__ + s_0978__91__c__93__ + s_1203__91__c__93__ => s_1014__91__c__93__ + s_1198__91__c__93__,R01775,R01775,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0547,s_0794__91__c__93__ + s_0978__91__c__93__ + s_1212__91__c__93__ => s_1014__91__c__93__ + s_1207__91__c__93__,R01775,R01775,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0548,s_0434__91__c__93__ + s_1014__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1238__91__c__93__,R01771,R01771,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0549,s_0373__91__c__93__ + s_1014__91__c__93__ => s_0529__91__c__93__ + s_1233__91__c__93__,R01776,R01776,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0553,s_0033__91__c__93__ + s_0803__91__c__93__ => s_0025__91__c__93__ + s_0750__91__c__93__ + s_0794__91__c__93__,R01736,R01736,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0554,s_0034__91__m__93__ + s_0807__91__m__93__ => s_0027__91__m__93__ + s_0752__91__m__93__ + s_0799__91__m__93__,R01736,R01736,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0555,s_0287__91__m__93__ + s_0831__91__m__93__ => s_0216__91__m__93__ + s_0636__91__m__93__,R05616,R05616,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0556,s_0310__91__c__93__ + s_0434__91__c__93__ => s_0293__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__,R04448,R04448,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0557,s_0803__91__c__93__ + 4 s_1372__91__c__93__ => 4 s_0419__91__c__93__ + s_1378__91__c__93__,R00084,R00084,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0558,s_0218__91__c__93__ + 2 s_0794__91__c__93__ + 2 s_1212__91__c__93__ => s_0028__91__c__93__ + s_0529__91__c__93__ + 2 s_1207__91__c__93__,R02082,R02082,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0559,s_0367__91__c__93__ + s_0373__91__c__93__ + s_0803__91__c__93__ => s_0218__91__c__93__ + s_0529__91__c__93__ + s_0794__91__c__93__,R01978,R01978,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0560,s_0370__91__m__93__ + s_0376__91__m__93__ + s_0807__91__m__93__ => s_0221__91__m__93__ + s_0532__91__m__93__ + s_0799__91__m__93__,R01978,R01978,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0561,s_0270__91__c__93__ + s_0434__91__c__93__ => s_0268__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__,R03471,R03471,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0562,s_0843__91__c__93__ + s_1386__91__c__93__ => s_0633__91__c__93__ + s_0849__91__c__93__,R01132,R01132,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0563,s_0312__91__c__93__ + s_0999__91__c__93__ => s_0403__91__c__93__ + s_0550__91__c__93__ + s_0794__91__c__93__ + s_0991__91__c__93__,R04558,R04558,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0564,s_0550__91__c__93__ => s_0207__91__c__93__ + s_0803__91__c__93__,R03457,R03457,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0565,s_0803__91__c__93__ + s_0849__91__c__93__ + s_1198__91__c__93__ => s_0794__91__c__93__ + s_1203__91__c__93__ + s_1565__91__c__93__,R01130,R01130,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0566,s_0076__91__c__93__ + s_0794__91__c__93__ => s_0086__91__c__93__ + s_0456__91__c__93__ + s_0803__91__c__93__,R03508,R03508,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0567,s_0794__91__c__93__ + s_0855__91__c__93__ => s_0456__91__c__93__ + s_0850__91__c__93__,R01974,R01974,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0568,s_0633__91__c__93__ + s_0803__91__c__93__ => s_0794__91__c__93__ + 2 s_1322__91__c__93__,R00004,R00004,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0569,s_0636__91__m__93__ + s_0807__91__m__93__ => s_0799__91__m__93__ + 2 s_1326__91__m__93__,R00004,R00004,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0570,s_1365__91__c__93__ <=> s_0803__91__c__93__ + s_0849__91__c__93__,R01127,R01127,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0571,s_0438__91__n__93__ + s_1157__91__n__93__ => s_0398__91__n__93__ + s_0800__91__n__93__ + s_1159__91__n__93__,R05202,R05202,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0572,s_0123__91__n__93__ + s_0438__91__n__93__ => s_0398__91__n__93__ + s_0800__91__n__93__ + s_1157__91__n__93__,R10953,R10953,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0573,s_0124__91__n__93__ + s_0438__91__n__93__ => s_0398__91__n__93__ + s_0800__91__n__93__ + s_1157__91__n__93__,R05801,R05801,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0574,s_0125__91__n__93__ + s_0438__91__n__93__ => s_0124__91__n__93__ + s_0398__91__n__93__ + s_0800__91__n__93__,R05800,R05800,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0575,s_0125__91__n__93__ + s_0438__91__n__93__ => s_0123__91__n__93__ + s_0398__91__n__93__ + s_0800__91__n__93__,R03433,R03433,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0658,s_0941__91__m__93__ + s_1200__91__m__93__ => s_0182__91__m__93__ + s_0460__91__m__93__ + s_1205__91__m__93__,R00709,R00709,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0659,s_0940__91__c__93__ + s_1207__91__c__93__ <=> s_0180__91__c__93__ + s_0456__91__c__93__ + s_1212__91__c__93__,R00267,R00267,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0661,s_0942__91__p__93__ + s_1211__91__p__93__ => s_0184__91__p__93__ + s_0462__91__p__93__ + s_1215__91__p__93__,R00267,R00267,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0662,s_0940__91__c__93__ => s_0779__91__c__93__ + s_1458__91__c__93__,R00479,R00479,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0663,s_0180__91__c__93__ + s_1016__91__c__93__ <=> s_0056__91__c__93__ + s_0991__91__c__93__,R02199,R02199,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0664,s_0182__91__m__93__ + s_1018__91__m__93__ <=> s_0060__91__m__93__ + s_0993__91__m__93__,R02199,R02199,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0665,s_0434__91__c__93__ + s_1016__91__c__93__ + s_1596__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0847__91__c__93__,R03656,R03656,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0666,s_0437__91__m__93__ + s_1018__91__m__93__ + s_1597__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_0848__91__m__93__,R03656,R03656,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0667,s_0943__91__c__93__ <=> s_1376__91__c__93__,R01123,R01123,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0668,s_0437__91__m__93__ + s_0532__91__m__93__ + s_0946__91__m__93__ <=> s_0397__91__m__93__ + s_0949__91__m__93__ + s_1326__91__m__93__,R02404,R02404,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0670,s_0803__91__c__93__ + s_1020__91__c__93__ => s_0427__91__c__93__ + s_0794__91__c__93__ + s_0955__91__c__93__,R00987,R00987,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0671,s_0794__91__c__93__ + s_1020__91__c__93__ + s_1212__91__c__93__ + s_1275__91__c__93__ => s_0222__91__c__93__ + s_0803__91__c__93__ + s_1207__91__c__93__,R01960,R01960,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0672,s_0117__91__m__93__ + 2 s_0807__91__m__93__ + s_1200__91__m__93__ <=> s_0678__91__m__93__ + s_0799__91__m__93__ + s_1205__91__m__93__,R04444,R04444,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0673,s_0807__91__m__93__ + s_0954__91__m__93__ + s_1200__91__m__93__ <=> s_0678__91__m__93__ + 2 s_0799__91__m__93__ + s_1205__91__m__93__,R05051,R05051,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0674,s_0182__91__m__93__ + s_0957__91__m__93__ <=> s_0993__91__m__93__ + s_1401__91__m__93__,R00258,R00258,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0675,s_0958__91__c__93__ => s_0359__91__c__93__ + s_1003__91__c__93__,R06171,R06171,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0676,s_0958__91__c__93__ + s_1207__91__c__93__ <=> s_0794__91__c__93__ + s_0952__91__c__93__ + s_1212__91__c__93__,R10851,R10851,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0679,s_0803__91__c__93__ + s_0969__91__c__93__ => s_0419__91__c__93__ + s_0973__91__c__93__,R00485,R00485,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0680,s_0805__91__e__93__ + s_0970__91__e__93__ => s_0420__91__e__93__ + s_0974__91__e__93__,R00485,R00485,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0681,s_0180__91__c__93__ + s_0677__91__c__93__ => s_0282__91__c__93__ + s_0991__91__c__93__,R03266,R03266,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0682,s_0182__91__m__93__ + s_0678__91__m__93__ => s_0283__91__m__93__ + s_0993__91__m__93__,R03266,R03266,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0683,s_0184__91__p__93__ + s_0679__91__p__93__ => s_0284__91__p__93__ + s_0995__91__p__93__,R03266,R03266,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0687,s_0116__91__c__93__ + 2 s_0794__91__c__93__ + s_1212__91__c__93__ => s_1207__91__c__93__ + s_4207__91__c__93__,R03293,R03293,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0688,s_0794__91__c__93__ + s_1151__91__c__93__ + s_1212__91__c__93__ => s_0062__91__c__93__ + s_1207__91__c__93__,R02260,R02260,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0689,s_1039__91__c__93__ => s_0419__91__c__93__ + s_1399__91__c__93__,R00220,R00220,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0690,s_1039__91__c__93__ + s_1207__91__c__93__ => s_0794__91__c__93__ + s_0960__91__c__93__ + s_1212__91__c__93__,R06126,R06126,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0692,s_1045__91__c__93__ => s_0178__91__c__93__ + s_0419__91__c__93__,R00996,R00996,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0693,s_1047__91__m__93__ => s_0179__91__m__93__ + s_0421__91__m__93__,R00996,R00996,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0694,s_1048__91__c__93__ + s_1275__91__c__93__ => s_1195__91__c__93__,R00678,R00678,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0696,s_0062__91__c__93__ + s_0803__91__c__93__ + s_1198__91__c__93__ => s_0063__91__c__93__ + 2 s_0794__91__c__93__ + s_1203__91__c__93__,R01446,R01446,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0697,s_0750__91__c__93__ + s_1151__91__c__93__ => s_0033__91__c__93__,R02530,R02530,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0698,s_0037__91__c__93__ => s_1059__91__c__93__,R03199,R03199,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0699,s_0180__91__c__93__ + s_1021__91__c__93__ <=> s_0291__91__c__93__ + s_0991__91__c__93__,R01090,R01090,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0700,s_0182__91__m__93__ + s_1023__91__m__93__ <=> s_0292__91__m__93__ + s_0993__91__m__93__,R01090,R01090,1,,chebi,2342,False,True,,0, 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s_1100__91__m__93__,R03658,R03658,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0713,s_0068__91__m__93__ + s_1200__91__m__93__ <=> s_0799__91__m__93__ + s_1205__91__m__93__ + s_1273__91__m__93__,R00342,R00342,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0714,s_0066__91__c__93__ + s_1198__91__c__93__ <=> s_0794__91__c__93__ + s_1203__91__c__93__ + s_1271__91__c__93__,R00342,R00342,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0715,s_0069__91__p__93__ + s_1202__91__p__93__ <=> s_0801__91__p__93__ + s_1206__91__p__93__ + s_1274__91__p__93__,R00342,R00342,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0716,s_0373__91__c__93__ + s_0779__91__c__93__ + s_0803__91__c__93__ => s_0066__91__c__93__ + s_0529__91__c__93__ + s_0794__91__c__93__,R00472,R00472,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0717,s_0378__91__p__93__ + s_0781__91__p__93__ + s_0809__91__p__93__ => s_0069__91__p__93__ + s_0534__91__p__93__ + s_0801__91__p__93__,R00472,R00472,1,,chebi,2342,False,True,,0, 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s_0803__91__c__93__ <=> s_0120__91__c__93__ + s_0794__91__c__93__,R01655,R01655,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0726,s_0434__91__c__93__ + s_0803__91__c__93__ + s_1029__91__c__93__ => s_0633__91__c__93__ + s_1322__91__c__93__ + s_1416__91__c__93__,R00177,R00177,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0727,s_0322__91__c__93__ + s_1012__91__c__93__ => s_1029__91__c__93__ + s_1487__91__c__93__,R00946,R00946,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0728,s_0121__91__m__93__ + s_1149__91__m__93__ => s_0713__91__m__93__ + s_0799__91__m__93__ + s_1488__91__m__93__,R03940,R03940,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0729,s_0434__91__c__93__ + s_1029__91__c__93__ + s_1602__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_1148__91__c__93__,R03659,R03659,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0730,s_0437__91__m__93__ + s_1031__91__m__93__ + s_1603__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_1149__91__m__93__,R03659,R03659,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0731,s_0306__91__c__93__ + s_1198__91__c__93__ => s_0304__91__c__93__ + s_1203__91__c__93__,R01218,R01218,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0732,s_0306__91__c__93__ + s_1207__91__c__93__ <=> s_0304__91__c__93__ + s_1212__91__c__93__,R01220,R01220,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0733,s_0307__91__m__93__ + s_1210__91__m__93__ <=> s_0305__91__m__93__ + s_1214__91__m__93__,R01220,R01220,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0734,s_0012__91__m__93__ => s_1401__91__m__93__ + s_1460__91__m__93__,R00409,R00409,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0735,s_0028__91__c__93__ + s_0434__91__c__93__ => s_0019__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__,R02245,R02245,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0739,s_0018__91__c__93__ + s_0434__91__c__93__ => s_0394__91__c__93__ + s_0456__91__c__93__ + s_0943__91__c__93__ + s_1322__91__c__93__,R01121,R01121,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0757,s_0126__91__c__93__ + s_0803__91__c__93__ => s_1153__91__c__93__ + s_1322__91__c__93__,R01185,R01185,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0759,s_0799__91__m__93__ + s_1191__91__m__93__ + s_1214__91__m__93__ => s_0145__91__m__93__ + s_1210__91__m__93__ + s_1326__91__m__93__,R03443,R03443,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0760,s_0373__91__c__93__ + s_0412__91__c__93__ => s_0529__91__c__93__ + s_0794__91__c__93__ + s_1190__91__c__93__,R02058,R02058,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0761,s_0376__91__m__93__ + s_0993__91__m__93__ <=> s_0532__91__m__93__ + s_0799__91__m__93__ + s_1192__91__m__93__,R00259,R00259,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0762,s_0803__91__c__93__ + s_1195__91__c__93__ => s_0722__91__c__93__ + s_0794__91__c__93__ + s_1020__91__c__93__,R01959,R01959,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0764,s_0809__91__p__93__ + s_1202__91__p__93__ => s_0426__91__p__93__ + 2 s_0801__91__p__93__ + s_1228__91__p__93__,R00103,R00103,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0765,s_0434__91__c__93__ + s_1198__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1207__91__c__93__,R00104,R00104,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0766,s_0437__91__m__93__ + s_1200__91__m__93__ => s_0397__91__m__93__ + s_0799__91__m__93__ + s_1210__91__m__93__,R00104,R00104,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0767,s_0808__91__n__93__ + s_1201__91__n__93__ => s_0402__91__n__93__ + s_0800__91__n__93__ + s_1217__91__n__93__,R00102,R00102,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0768,s_0434__91__c__93__ + s_0591__91__c__93__ + s_0803__91__c__93__ + s_0999__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__ + s_0991__91__c__93__ + s_1198__91__c__93__,R00257,R00257,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0769,s_0438__91__n__93__ + s_0593__91__n__93__ + s_0808__91__n__93__ + s_1001__91__n__93__ <=> s_0425__91__n__93__ + s_0637__91__n__93__ + s_0800__91__n__93__ + s_0994__91__n__93__ + s_1201__91__n__93__,R00257,R00257,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0771,s_0434__91__c__93__ + s_1203__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__,R00105,R00105,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0772,s_0437__91__m__93__ + s_1205__91__m__93__ => s_0397__91__m__93__ + s_0799__91__m__93__ + s_1214__91__m__93__,R00105,R00105,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0774,s_0434__91__c__93__ + s_0794__91__c__93__ + s_1219__91__c__93__ + s_1386__91__c__93__ => s_0394__91__c__93__ + s_0633__91__c__93__ + s_1222__91__c__93__ + s_1322__91__c__93__,R01724,R01724,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0775,s_0437__91__m__93__ + s_0799__91__m__93__ + s_1221__91__m__93__ + s_1387__91__m__93__ => s_0397__91__m__93__ + s_0636__91__m__93__ + s_1223__91__m__93__ + s_1326__91__m__93__,R01724,R01724,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0781,s_0803__91__c__93__ + s_1216__91__c__93__ => s_0419__91__c__93__ + s_1219__91__c__93__,R01268,R01268,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0782,s_1216__91__c__93__ + s_1416__91__c__93__ => s_0087__91__c__93__ + s_1413__91__c__93__,R01269,R01269,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0783,s_0434__91__c__93__ + s_0794__91__c__93__ + s_1224__91__c__93__ => s_0633__91__c__93__ + s_1198__91__c__93__,R00137,R00137,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0784,s_0438__91__n__93__ + s_0800__91__n__93__ + s_1227__91__n__93__ => s_0637__91__n__93__ + s_1201__91__n__93__,R00137,R00137,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0785,s_0434__91__c__93__ + s_0794__91__c__93__ + s_1222__91__c__93__ => s_0591__91__c__93__ + s_0633__91__c__93__,R03005,R03005,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0786,2 s_0794__91__c__93__ + s_1386__91__c__93__ + s_1403__91__c__93__ => s_0456__91__c__93__ + s_0633__91__c__93__ + s_1222__91__c__93__,R03348,R03348,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0787,2 s_0799__91__m__93__ + s_1387__91__m__93__ + s_1404__91__m__93__ => s_0460__91__m__93__ + s_0636__91__m__93__ + s_1223__91__m__93__,R03348,R03348,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0788,s_0394__91__c__93__ + s_0803__91__c__93__ => s_0423__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R00122,R00122,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0789,s_0739__91__c__93__ + s_0803__91__c__93__ => s_0782__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R00328,R00328,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0790,s_0803__91__c__93__ + s_1538__91__c__93__ => s_0794__91__c__93__ + s_1322__91__c__93__ + s_1545__91__c__93__,R00155,R00155,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0791,s_0806__91__g__93__ + s_1539__91__g__93__ => s_0797__91__g__93__ + s_1325__91__g__93__ + s_1546__91__g__93__,R00155,R00155,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0792,s_0467__91__c__93__ + s_0803__91__c__93__ => s_0526__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R00514,R00514,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0793,s_0803__91__c__93__ + s_0846__91__c__93__ => s_0794__91__c__93__ + s_0849__91__c__93__ + s_1322__91__c__93__,R00961,R00961,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0795,s_0434__91__c__93__ + s_0467__91__c__93__ => s_0394__91__c__93__ + s_0539__91__c__93__,R00570,R00570,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0796,s_0434__91__c__93__ + s_0582__91__c__93__ => s_0394__91__c__93__ + s_0586__91__c__93__,R01137,R01137,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0797,s_0434__91__c__93__ + s_0587__91__c__93__ => s_0394__91__c__93__ + s_0590__91__c__93__,R02326,R02326,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0798,s_0434__91__c__93__ + s_0613__91__c__93__ => s_0394__91__c__93__ + s_0617__91__c__93__,R01857,R01857,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0799,s_0434__91__c__93__ + s_0647__91__c__93__ => s_0394__91__c__93__ + s_0650__91__c__93__,R02093,R02093,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0800,s_0434__91__c__93__ + s_0739__91__c__93__ => s_0394__91__c__93__ + s_0785__91__c__93__,R00330,R00330,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0801,s_0434__91__c__93__ + s_0846__91__c__93__ => s_0394__91__c__93__ + s_0950__91__c__93__,R00722,R00722,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0802,s_0434__91__c__93__ + s_0618__91__c__93__ <=> s_0394__91__c__93__ + s_0639__91__c__93__,R03530,R03530,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0803,s_0434__91__c__93__ + s_0652__91__c__93__ <=> s_0394__91__c__93__ + s_0656__91__c__93__,R02331,R02331,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0804,s_0785__91__c__93__ + s_0803__91__c__93__ => s_0739__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R00335,R00335,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0805,s_0803__91__c__93__ + s_1559__91__c__93__ => s_0794__91__c__93__ + s_1322__91__c__93__ + s_1538__91__c__93__,R00159,R00159,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0806,s_0539__91__c__93__ + s_0803__91__c__93__ => s_0467__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R00569,R00569,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0807,s_0803__91__c__93__ + s_0950__91__c__93__ => s_0794__91__c__93__ + s_0846__91__c__93__ + s_1322__91__c__93__,R00719,R00719,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0810,s_0740__91__g__93__ + s_0806__91__g__93__ => s_0783__91__g__93__ + s_0797__91__g__93__ + s_1325__91__g__93__,R00328,R00328,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0811,s_0434__91__c__93__ + s_1538__91__c__93__ => s_0394__91__c__93__ + s_1559__91__c__93__,R00156,R00156,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0812,s_1150__91__c__93__ + s_1233__91__c__93__ => s_0362__91__c__93__ + s_0794__91__c__93__ + s_1029__91__c__93__,R00651,R00651,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0813,s_0841__91__c__93__ + s_1233__91__c__93__ => s_0362__91__c__93__ + s_1012__91__c__93__,R01287,R01287,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0815,s_0981__91__c__93__ + s_1241__91__c__93__ <=> s_0794__91__c__93__ + s_0980__91__c__93__ + s_1458__91__c__93__,R03260,R03260,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0816,s_0455__91__c__93__ + s_1266__91__c__93__ => s_0794__91__c__93__ + s_0979__91__c__93__ + s_1322__91__c__93__,R01398,R01398,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0817,s_0794__91__c__93__ + s_1266__91__c__93__ => s_0456__91__c__93__ + s_1389__91__c__93__,R00670,R00670,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0818,s_0993__91__m__93__ + s_1182__91__m__93__ => s_1192__91__m__93__ + s_1268__91__m__93__,R02282,R02282,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0819,s_0180__91__c__93__ + s_1266__91__c__93__ => s_0991__91__c__93__ + s_0997__91__c__93__,R00667,R00667,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0820,s_0633__91__c__93__ + s_1270__91__c__93__ <=> s_1269__91__c__93__ + s_1386__91__c__93__,R01870,R01870,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0821,s_0794__91__c__93__ + s_1270__91__c__93__ => s_0456__91__c__93__ + s_1545__91__c__93__,R00965,R00965,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0831,s_0532__91__m__93__ + s_1411__91__m__93__ => s_0627__91__m__93__ + s_1464__91__m__93__,R02570,R02570,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0832,s_0182__91__m__93__ + s_0799__91__m__93__ + s_1097__91__m__93__ => s_0460__91__m__93__ + s_1411__91__m__93__,R01700,R01700,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0841,s_0434__91__c__93__ + s_0794__91__c__93__ + s_1307__91__c__93__ => s_0197__91__c__93__ + s_0633__91__c__93__,R03035,R03035,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0842,s_0031__91__c__93__ + s_0434__91__c__93__ => s_0017__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__,R03018,R03018,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0843,s_0030__91__c__93__ + s_0434__91__c__93__ + s_0441__91__c__93__ => s_0031__91__c__93__ + s_0423__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__,R02473,R02473,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0847,s_0809__91__p__93__ + s_1305__91__p__93__ => s_0534__91__p__93__ + s_0801__91__p__93__ + s_1291__91__p__93__,R01274,R01274,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0849,s_0809__91__p__93__ + s_1457__91__p__93__ => s_0534__91__p__93__ + s_0801__91__p__93__ + s_1451__91__p__93__,R08174,R08174,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0851,s_0180__91__c__93__ + s_1032__91__c__93__ <=> s_0951__91__c__93__ + s_0991__91__c__93__,R00694,R00694,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0852,s_0434__91__c__93__ + s_1032__91__c__93__ + s_1604__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_1314__91__c__93__,R03660,R03660,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0853,s_0437__91__m__93__ + s_1034__91__m__93__ + s_1605__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_1315__91__m__93__,R03660,R03660,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0854,s_0794__91__c__93__ + s_0951__91__c__93__ => s_0456__91__c__93__ + s_1318__91__c__93__,R01377,R01377,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0855,s_0302__91__c__93__ + s_0434__91__c__93__ => s_0300__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R04208,R04208,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0882,s_1190__91__c__93__ <=> s_1189__91__c__93__,R08193,R08193,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0884,s_0434__91__c__93__ + s_1271__91__c__93__ => s_0394__91__c__93__ + s_0456__91__c__93__ + s_1360__91__c__93__,R00341,R00341,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0885,s_0539__91__c__93__ + s_0794__91__c__93__ + s_1239__91__c__93__ => s_0474__91__c__93__ + s_0633__91__c__93__,R02038,R02038,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0886,s_0434__91__c__93__ + s_0557__91__c__93__ => s_0394__91__c__93__ + s_0555__91__c__93__ + s_0794__91__c__93__,R00756,R00756,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0887,s_0434__91__c__93__ + s_1427__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1426__91__c__93__,R01843,R01843,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0888,s_0568__91__c__93__ <=> s_0567__91__c__93__,R08639,R08639,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0889,s_0340__91__c__93__ + s_1207__91__c__93__ => s_0456__91__c__93__ + s_0577__91__c__93__ + s_1212__91__c__93__,R01528,R01528,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0890,s_0411__91__c__93__ <=> s_0412__91__c__93__,R02060,R02060,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0891,s_0260__91__c__93__ + s_1198__91__c__93__ => s_0258__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R01513,R01513,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0892,s_0075__91__c__93__ + s_0394__91__c__93__ <=> s_0260__91__c__93__ + s_0434__91__c__93__,R01512,R01512,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0893,s_0260__91__c__93__ <=> s_0188__91__c__93__,R01518,R01518,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0902,s_0573__91__c__93__ <=> s_0574__91__c__93__,R01818,R01818,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0903,s_0268__91__c__93__ + s_0434__91__c__93__ => s_0267__91__c__93__ + s_0394__91__c__93__,R04509,R04509,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0904,s_0019__91__c__93__ + s_0434__91__c__93__ => s_0018__91__c__93__ + s_0394__91__c__93__,R03245,R03245,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0905,s_0017__91__c__93__ + s_0539__91__c__93__ + s_0981__91__c__93__ => s_0526__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__ + s_1188__91__c__93__,R04231,R04231,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0906,s_0794__91__c__93__ + s_1188__91__c__93__ => s_0456__91__c__93__ + s_1307__91__c__93__,R03269,R03269,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0908,s_0434__91__c__93__ + s_0973__91__c__93__ + s_1364__91__c__93__ => s_0299__91__c__93__ + s_0394__91__c__93__ + 2 s_0794__91__c__93__ + s_1322__91__c__93__,R04591,R04591,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0909,s_0078__91__c__93__ + s_0803__91__c__93__ => s_0077__91__c__93__,R04037,R04037,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0910,s_0326__91__c__93__ + s_0803__91__c__93__ => s_0078__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__,R04035,R04035,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0911,s_0300__91__c__93__ + s_0456__91__c__93__ => s_0794__91__c__93__ + s_1364__91__c__93__,R04209,R04209,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0912,s_0120__91__c__93__ + s_0403__91__c__93__ <=> s_1365__91__c__93__ + s_1487__91__c__93__,R04560,R04560,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0913,s_1187__91__c__93__ => s_0076__91__c__93__,R03509,R03509,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0914,s_0327__91__c__93__ + s_0434__91__c__93__ + s_1003__91__c__93__ => s_0325__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R04144,R04144,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0915,s_0803__91__c__93__ + s_0999__91__c__93__ + s_1386__91__c__93__ => s_0327__91__c__93__ + s_0633__91__c__93__ + s_0991__91__c__93__,R01072,R01072,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0917,s_0259__91__c__93__ + s_0803__91__c__93__ => s_1039__91__c__93__ + s_1322__91__c__93__,R00582,R00582,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0918,s_0258__91__c__93__ + s_0991__91__c__93__ => s_0180__91__c__93__ + s_0259__91__c__93__,R04173,R04173,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0920,s_0507__91__er__93__ + s_1366__91__er__93__ => s_0484__91__er__93__ + s_0804__91__er__93__,R06527,R06527,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0922,s_0795__91__er__93__ + s_1213__91__er__93__ + s_1276__91__er__93__ + s_1445__91__er__93__ => s_0804__91__er__93__ + s_1208__91__er__93__ + s_1366__91__er__93__,R06525,R06525,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0935,2 s_0315__91__c__93__ => s_0794__91__c__93__ + 2 s_0803__91__c__93__ + s_1372__91__c__93__,R00036,R00036,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0936,s_0803__91__c__93__ + s_1181__91__c__93__ + s_1275__91__c__93__ => s_0208__91__c__93__ + s_0837__91__c__93__ + s_1180__91__c__93__,R03899,R03899,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0937,s_0803__91__c__93__ + s_1275__91__c__93__ + s_1442__91__c__93__ => s_0208__91__c__93__ + s_0837__91__c__93__ + s_1439__91__c__93__,R09076,R09076,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0938,s_0794__91__c__93__ + s_1377__91__c__93__ => s_0456__91__c__93__ + s_0803__91__c__93__ + s_0951__91__c__93__,R01373,R01373,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0939,s_1207__91__c__93__ + s_1377__91__c__93__ => s_0204__91__c__93__ + s_0456__91__c__93__ + s_1212__91__c__93__,R01730,R01730,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0940,s_0688__91__m__93__ + s_1037__91__m__93__ => s_0119__91__m__93__ + s_0690__91__m__93__,R10507,R10507,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0941,s_0434__91__c__93__ + s_1035__91__c__93__ + s_1606__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_1379__91__c__93__,R03661,R03661,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0942,3 s_1278__91__m__93__ + 2 s_1385__91__m__93__ => 6 s_0807__91__m__93__ + 2 s_1383__91__m__93__,R03222,R03222,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0943,s_1218__91__c__93__ + s_1322__91__c__93__ => s_0415__91__c__93__ + s_0794__91__c__93__ + s_1216__91__c__93__,R02294,R02294,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0949,s_0790__91__c__93__ + s_1322__91__c__93__ <=> s_0415__91__c__93__ + s_0787__91__c__93__,R02147,R02147,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0950,s_0792__91__m__93__ + s_1326__91__m__93__ <=> s_0416__91__m__93__ + s_0789__91__m__93__,R02147,R02147,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0951,s_0856__91__c__93__ + s_1322__91__c__93__ <=> s_0415__91__c__93__ + s_0843__91__c__93__,R01863,R01863,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0954,s_0803__91__c__93__ + s_1275__91__c__93__ + s_1395__91__c__93__ => s_0419__91__c__93__ + s_0837__91__c__93__ + s_1393__91__c__93__,R00277,R00277,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0955,s_1275__91__c__93__ + s_1398__91__c__93__ => s_0837__91__c__93__ + s_1393__91__c__93__,R00278,R00278,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0956,s_1275__91__c__93__ + s_1396__91__c__93__ => s_0837__91__c__93__ + s_1392__91__c__93__,R01711,R01711,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0957,s_0118__91__c__93__ + 2 s_0794__91__c__93__ + s_1212__91__c__93__ => s_1035__91__c__93__ + s_1207__91__c__93__,R01251,R01251,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0958,s_0434__91__c__93__ + s_0445__91__c__93__ + s_1399__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1271__91__c__93__ + s_1322__91__c__93__,R00344,R00344,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0959,s_0794__91__c__93__ + s_1399__91__c__93__ => s_0359__91__c__93__ + s_0456__91__c__93__,R00224,R00224,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0961,s_0532__91__m__93__ + s_1200__91__m__93__ + s_1401__91__m__93__ => s_0376__91__m__93__ + s_0460__91__m__93__ + s_1205__91__m__93__,R00209,R00209,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0962,s_0394__91__c__93__ + s_0794__91__c__93__ + s_1360__91__c__93__ => s_0434__91__c__93__ + s_1399__91__c__93__,R00200,R00200,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0965,s_0434__91__c__93__ + s_1405__91__c__93__ => s_0394__91__c__93__ + s_0714__91__c__93__ + s_0794__91__c__93__,R00549,R00549,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0966,s_0437__91__m__93__ + s_1407__91__m__93__ => s_0397__91__m__93__ + s_0716__91__m__93__ + s_0799__91__m__93__,R00549,R00549,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0967,s_0158__91__c__93__ + s_0314__91__c__93__ => s_0328__91__c__93__ + s_0794__91__c__93__ + 2 s_0803__91__c__93__ + s_1322__91__c__93__,R04457,R04457,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0968,2 s_0328__91__c__93__ + s_0794__91__c__93__ => s_0314__91__c__93__ + s_1405__91__c__93__,R00066,R00066,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0969,s_0434__91__c__93__ + s_0575__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1408__91__c__93__,R01051,R01051,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0970,s_0434__91__c__93__ + s_0794__91__c__93__ + s_1616__91__c__93__ => s_0586__91__c__93__ + s_0803__91__c__93__ + s_1620__91__c__93__,R02014,R02014,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0971,s_0539__91__c__93__ + s_0794__91__c__93__ + s_1616__91__c__93__ => s_0590__91__c__93__ + s_0803__91__c__93__ + s_1620__91__c__93__,R02022,R02022,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0972,s_0785__91__c__93__ + s_0794__91__c__93__ + s_1616__91__c__93__ => s_0617__91__c__93__ + s_0803__91__c__93__ + s_1620__91__c__93__,R02020,R02020,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0973,s_0794__91__c__93__ + s_1559__91__c__93__ + s_1616__91__c__93__ => s_0656__91__c__93__ + s_0803__91__c__93__ + s_1620__91__c__93__,R02023,R02023,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0974,s_0394__91__c__93__ + s_0794__91__c__93__ + s_1616__91__c__93__ => s_0582__91__c__93__ + s_0803__91__c__93__ + s_1620__91__c__93__,R02017,R02017,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0975,s_0398__91__n__93__ + s_0800__91__n__93__ + s_1618__91__n__93__ => s_0583__91__n__93__ + s_0808__91__n__93__ + s_1622__91__n__93__,R02017,R02017,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0976,s_0467__91__c__93__ + s_0794__91__c__93__ + s_1616__91__c__93__ => s_0587__91__c__93__ + s_0803__91__c__93__ + s_1620__91__c__93__,R02024,R02024,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0977,s_0468__91__n__93__ + s_0800__91__n__93__ + s_1618__91__n__93__ => s_0588__91__n__93__ + s_0808__91__n__93__ + s_1622__91__n__93__,R02024,R02024,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0978,s_0739__91__c__93__ + s_0794__91__c__93__ + s_1616__91__c__93__ => s_0613__91__c__93__ + s_0803__91__c__93__ + s_1620__91__c__93__,R02019,R02019,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0979,s_0742__91__n__93__ + s_0800__91__n__93__ + s_1618__91__n__93__ => s_0614__91__n__93__ + s_0808__91__n__93__ + s_1622__91__n__93__,R02019,R02019,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0983,s_0434__91__c__93__ + s_1218__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1224__91__c__93__,R02324,R02324,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0984,s_0577__91__c__93__ <=> s_0581__91__c__93__,R01529,R01529,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0985,s_0213__91__m__93__ + s_1419__91__m__93__ => s_0214__91__m__93__ + s_0799__91__m__93__ + s_1415__91__m__93__,R04711,R04711,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0986,s_1416__91__c__93__ + s_1569__91__c__93__ => s_0700__91__c__93__ + s_0794__91__c__93__ + s_1413__91__c__93__,R04427,R04427,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0987,s_0803__91__c__93__ + s_1421__91__c__93__ => s_0722__91__c__93__ + s_0750__91__c__93__ + s_0794__91__c__93__,R00527,R00527,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0988,s_0803__91__c__93__ + s_1038__91__c__93__ + s_1198__91__c__93__ => s_0180__91__c__93__ + s_0794__91__c__93__ + s_1025__91__c__93__ + s_1203__91__c__93__,R00715,R00715,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0989,s_0794__91__c__93__ + s_0959__91__c__93__ + s_0991__91__c__93__ + s_1212__91__c__93__ => s_0803__91__c__93__ + s_1038__91__c__93__ + s_1207__91__c__93__,R02315,R02315,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0990,s_1426__91__c__93__ <=> s_0551__91__c__93__ + s_0629__91__c__93__,R01829,R01829,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0992,s_0373__91__c__93__ + s_1039__91__c__93__ => s_0529__91__c__93__ + s_1234__91__c__93__,R00586,R00586,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0993,s_0795__91__er__93__ + s_1040__91__er__93__ + s_1303__91__er__93__ => s_0231__91__er__93__ + s_0457__91__er__93__ + s_0530__91__er__93__,R01281,R01281,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0995,s_0434__91__c__93__ + s_1039__91__c__93__ + s_1607__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_1428__91__c__93__,R03662,R03662,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0996,s_0211__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_1207__91__c__93__ + s_1429__91__c__93__,R02413,R02413,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0997,s_0434__91__c__93__ + s_1429__91__c__93__ => s_0261__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__,R02412,R02412,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0998,s_1198__91__c__93__ + s_1375__91__c__93__ => 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_1431__91__c__93__,R03947,R03947,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_0999,s_0924__91__c__93__ + s_1431__91__c__93__ => 2 s_0794__91__c__93__ + s_1430__91__c__93__,R02864,R02864,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1000,s_0717__91__c__93__ + s_0725__91__c__93__ <=> s_0714__91__c__93__ + s_0794__91__c__93__ + s_1458__91__c__93__,R00408,R00408,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1001,s_1389__91__c__93__ + s_1420__91__c__93__ => s_0303__91__c__93__ + s_0794__91__c__93__ + s_1439__91__c__93__,R01920,R01920,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1002,s_1420__91__c__93__ + s_1439__91__c__93__ => s_0303__91__c__93__ + s_0794__91__c__93__ + s_1442__91__c__93__,R02869,R02869,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1003,s_1446__91__er__93__ => s_0825__91__er__93__ + s_1240__91__er__93__,R02464,R02464,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1005,s_0804__91__er__93__ + s_1446__91__er__93__ => s_1323__91__er__93__ + s_1445__91__er__93__,R06520,R06520,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1007,s_0435__91__er__93__ + s_1445__91__er__93__ => s_0395__91__er__93__ + s_0795__91__er__93__ + s_1446__91__er__93__,R02976,R02976,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1008,s_0517__91__m__93__ <=> s_1504__91__m__93__,R02244,R02244,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1009,s_0516__91__c__93__ <=> s_1503__91__c__93__,R02244,R02244,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1011,s_0795__91__er__93__ + s_1213__91__er__93__ + s_1276__91__er__93__ + s_1448__91__er__93__ => s_0038__91__er__93__ + s_0804__91__er__93__ + s_1208__91__er__93__,R02874,R02874,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1012,2 s_0190__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => 2 s_0633__91__c__93__ + s_1207__91__c__93__ + s_1447__91__c__93__,R06223,R06223,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1022,s_0397__91__m__93__ + s_1326__91__m__93__ + s_1464__91__m__93__ => s_0437__91__m__93__ + s_0532__91__m__93__ + s_1460__91__m__93__,R00405,R00405,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1023,s_0803__91__c__93__ + s_1207__91__c__93__ + s_1461__91__c__93__ => 2 s_0794__91__c__93__ + s_1212__91__c__93__ + s_1458__91__c__93__,R00714,R00714,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1024,s_0805__91__e__93__ + s_1466__91__e__93__ => s_0554__91__e__93__ + s_0565__91__e__93__,R00801,R00801,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1025,s_0434__91__c__93__ + s_0794__91__c__93__ + s_1467__91__c__93__ => s_0298__91__c__93__ + s_0633__91__c__93__,R00529,R00529,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1026,s_0394__91__c__93__ + s_0794__91__c__93__ + s_1467__91__c__93__ => s_0298__91__c__93__ + s_1322__91__c__93__,R00530,R00530,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1027,4 s_0794__91__c__93__ + 3 s_1212__91__c__93__ + s_1469__91__c__93__ => 3 s_0803__91__c__93__ + s_0841__91__c__93__ + 3 s_1207__91__c__93__,R00858,R00858,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1029,s_0180__91__c__93__ + s_1275__91__c__93__ + s_1471__91__c__93__ => s_0417__91__c__93__ + s_0456__91__c__93__ + s_0794__91__c__93__ + s_1458__91__c__93__ + s_1469__91__c__93__,R05320,R05320,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1030,s_0305__91__m__93__ + s_0807__91__m__93__ => s_0321__91__m__93__ + s_0799__91__m__93__,R02300,R02300,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1031,s_0434__91__c__93__ + s_0991__91__c__93__ + s_1487__91__c__93__ <=> s_0308__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__,R00942,R00942,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1033,s_0805__91__e__93__ + s_1498__91__e__93__ => s_1324__91__e__93__ + s_1490__91__e__93__,R02135,R02135,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1034,s_0434__91__c__93__ + s_1489__91__c__93__ => s_0423__91__c__93__ + s_0794__91__c__93__ + s_1475__91__c__93__,R00619,R00619,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1035,s_0434__91__c__93__ + s_1475__91__c__93__ => s_0394__91__c__93__ + s_1532__91__c__93__,R00616,R00616,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1036,s_0267__91__c__93__ + s_0293__91__c__93__ + s_0794__91__c__93__ => s_0633__91__c__93__ + s_1497__91__c__93__,R03223,R03223,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1038,s_1212__91__c__93__ + s_1620__91__c__93__ => s_1207__91__c__93__ + s_1616__91__c__93__,R02016,R02016,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1039,s_1214__91__m__93__ + s_1621__91__m__93__ => s_1210__91__m__93__ + s_1617__91__m__93__,R02016,R02016,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1040,s_1045__91__c__93__ => s_0359__91__c__93__ + s_1003__91__c__93__,R00751,R00751,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1041,s_0803__91__c__93__ + s_1238__91__c__93__ => s_1045__91__c__93__ + s_1322__91__c__93__,R01466,R01466,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1042,s_0434__91__c__93__ + s_1045__91__c__93__ + s_1608__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_1491__91__c__93__,R03663,R03663,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1043,s_0437__91__m__93__ + s_1047__91__m__93__ + s_1609__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_1492__91__m__93__,R03663,R03663,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1045,s_0306__91__c__93__ + s_0654__91__c__93__ => s_0625__91__c__93__ + s_0649__91__c__93__,R02101,R02101,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1046,s_1416__91__c__93__ + s_1503__91__c__93__ => s_0007__91__c__93__ + s_1413__91__c__93__,R05763,R05763,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1047,s_0945__91__m__93__ + s_1313__91__m__93__ => s_0636__91__m__93__ + s_0831__91__m__93__,R05613,R05613,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1051,s_0409__91__c__93__ + s_0803__91__c__93__ => s_1322__91__c__93__ + s_1520__91__c__93__,R02778,R02778,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1054,s_0629__91__c__93__ <=> s_0764__91__c__93__,R01015,R01015,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1056,s_0180__91__c__93__ + s_1048__91__c__93__ => s_0855__91__c__93__ + s_0991__91__c__93__,R00684,R00684,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1057,s_0434__91__c__93__ + s_1048__91__c__93__ + s_1610__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_1527__91__c__93__,R03664,R03664,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1058,s_0437__91__m__93__ + s_1050__91__m__93__ + s_1611__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_1528__91__m__93__,R03664,R03664,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1063,s_0204__91__c__93__ + s_0991__91__c__93__ <=> s_0180__91__c__93__ + s_1051__91__c__93__,R00734,R00734,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1065,s_0206__91__p__93__ + s_0995__91__p__93__ => s_0184__91__p__93__ + s_1054__91__p__93__,R00734,R00734,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1066,s_0434__91__c__93__ + s_1051__91__c__93__ + s_1612__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_1533__91__c__93__,R02918,R02918,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1067,s_0437__91__m__93__ + s_1053__91__m__93__ + s_1613__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_1534__91__m__93__,R02918,R02918,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1069,s_0794__91__c__93__ + s_1189__91__c__93__ + s_1559__91__c__93__ <=> s_0633__91__c__93__ + s_1544__91__c__93__,R00416,R00416,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1070,s_1543__91__c__93__ <=> s_1541__91__c__93__,R00291,R00291,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1071,s_0410__91__c__93__ + s_1543__91__c__93__ <=> s_0567__91__c__93__ + s_1541__91__c__93__,R00955,R00955,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1072,s_0434__91__c__93__ + s_1545__91__c__93__ => s_0394__91__c__93__ + s_1538__91__c__93__,R00158,R00158,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1073,s_0438__91__n__93__ + s_1548__91__n__93__ => s_0398__91__n__93__ + s_1540__91__n__93__,R00158,R00158,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1074,s_1386__91__c__93__ + s_1550__91__c__93__ => s_0633__91__c__93__ + s_1545__91__c__93__,R00966,R00966,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1075,s_0434__91__c__93__ + s_0445__91__c__93__ + s_1552__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1322__91__c__93__ + s_1554__91__c__93__,R00774,R00774,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1076,2 s_0794__91__c__93__ + s_0803__91__c__93__ + s_1555__91__c__93__ => 2 s_0419__91__c__93__ + s_0456__91__c__93__ + s_0779__91__c__93__,R00469,R00469,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1077,s_0434__91__c__93__ + s_1556__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1545__91__c__93__,R00964,R00964,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1078,s_0785__91__c__93__ + s_1556__91__c__93__ => s_0739__91__c__93__ + s_0794__91__c__93__ + s_1545__91__c__93__,R00968,R00968,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1079,s_0434__91__c__93__ + s_0654__91__c__93__ => s_0394__91__c__93__ + s_0652__91__c__93__,R02098,R02098,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1080,s_0438__91__n__93__ + s_0655__91__n__93__ => s_0398__91__n__93__ + s_0653__91__n__93__,R02098,R02098,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1081,4 s_0794__91__c__93__ + s_1558__91__c__93__ => 4 s_0456__91__c__93__ + s_0538__91__c__93__,R03197,R03197,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1082,2 s_1416__91__c__93__ + s_1558__91__c__93__ => s_0794__91__c__93__ + s_1375__91__c__93__ + 2 s_1413__91__c__93__,R03194,R03194,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1083,s_1378__91__c__93__ => s_0803__91__c__93__ + s_1558__91__c__93__,R03165,R03165,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1084,s_0567__91__c__93__ + s_0794__91__c__93__ + s_1559__91__c__93__ <=> s_0633__91__c__93__ + s_1543__91__c__93__,R00289,R00289,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1087,s_0180__91__c__93__ + s_1056__91__c__93__ <=> s_0232__91__c__93__ + s_0991__91__c__93__,R01214,R01214,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1088,s_0182__91__m__93__ + s_1058__91__m__93__ <=> s_0233__91__m__93__ + s_0993__91__m__93__,R01214,R01214,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1089,s_0434__91__c__93__ + s_1056__91__c__93__ + s_1614__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_1561__91__c__93__,R03665,R03665,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1090,s_0437__91__m__93__ + s_1058__91__m__93__ + s_1615__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_1562__91__m__93__,R03665,R03665,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1091,s_0357__91__c__93__ + s_1386__91__c__93__ => s_0633__91__c__93__ + s_1565__91__c__93__,R02142,R02142,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1092,s_1198__91__c__93__ + s_1566__91__c__93__ => s_0580__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R01896,R01896,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1093,s_0578__91__c__93__ + s_0794__91__c__93__ + s_1212__91__c__93__ => s_1207__91__c__93__ + s_1566__91__c__93__,R01431,R01431,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1094,s_0434__91__c__93__ + s_0580__91__c__93__ => s_0394__91__c__93__ + s_0581__91__c__93__ + s_0794__91__c__93__,R01639,R01639,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1110,s_0394__91__c__93__ + s_0437__91__m__93__ <=> s_0397__91__m__93__ + s_0434__91__c__93__,R00124,R00124,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1613,s_0423__91__c__93__ + s_0803__91__c__93__ => s_0386__91__c__93__ + s_1322__91__c__93__,R00183,R00183,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1614,s_0584__91__c__93__ + s_0803__91__c__93__ => s_0132__91__c__93__ + s_1322__91__c__93__,R02088,R02088,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1615,s_0589__91__c__93__ + s_0803__91__c__93__ => s_0610__91__c__93__ + s_1322__91__c__93__,R01664,R01664,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1616,s_0615__91__c__93__ + s_0803__91__c__93__ => s_0134__91__c__93__ + s_1322__91__c__93__,R01968,R01968,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1617,s_0649__91__c__93__ + s_0803__91__c__93__ => s_1322__91__c__93__ + s_1493__91__c__93__,R01569,R01569,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1618,s_0654__91__c__93__ + s_0803__91__c__93__ => s_0138__91__c__93__ + s_1322__91__c__93__,R02102,R02102,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1619,s_0782__91__c__93__ + s_0803__91__c__93__ => s_0790__91__c__93__ + s_1322__91__c__93__,R01227,R01227,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1620,s_0803__91__c__93__ + s_1565__91__c__93__ => s_1322__91__c__93__ + s_1563__91__c__93__,R02719,R02719,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1623,s_0321__91__m__93__ + s_0437__91__m__93__ => s_0305__91__m__93__ + s_0397__91__m__93__ + s_1326__91__m__93__,R02301,R02301,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1664,s_0460__91__m__93__ + s_0807__91__m__93__ <=> s_0447__91__m__93__ + s_0799__91__m__93__,R00132,R00132,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1665,s_0461__91__n__93__ + s_0808__91__n__93__ <=> s_0448__91__n__93__ + s_0800__91__n__93__,R00132,R00132,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1667,s_0456__91__c__93__ + s_0803__91__c__93__ <=> s_0445__91__c__93__ + s_0794__91__c__93__,R00132,R00132,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1668,s_0458__91__e__93__ + s_0805__91__e__93__ <=> s_0446__91__e__93__ + s_0796__91__e__93__,R00132,R00132,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1685,s_0515__91__c__93__ => s_0286__91__c__93__ + s_1399__91__c__93__,R01302,R01302,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1703,s_0434__91__c__93__ + s_0526__91__c__93__ => s_0394__91__c__93__ + s_0467__91__c__93__,R00512,R00512,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1704,s_0434__91__c__93__ + s_0589__91__c__93__ <=> s_0394__91__c__93__ + s_0587__91__c__93__,R01665,R01665,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1710,s_0559__91__e__93__ =>,R10619,R10619,1,,chebi,2342,True,False,exchange_ssx,0, +BIOMD0000001063,r_1722,s_0434__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0419__91__c__93__ + s_0950__91__c__93__,R00088,R00088,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1724,s_0394__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__ => s_0419__91__c__93__ + s_0846__91__c__93__,R00123,R00123,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1729,s_0434__91__c__93__ + s_0584__91__c__93__ <=> s_0394__91__c__93__ + s_0582__91__c__93__,R01547,R01547,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1734,s_0138__91__c__93__ + s_0434__91__c__93__ => s_0394__91__c__93__ + s_0654__91__c__93__ + s_0794__91__c__93__,R02099,R02099,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1736,s_0197__91__c__93__ + s_0434__91__c__93__ => s_0394__91__c__93__ + s_0529__91__c__93__ + s_0794__91__c__93__,R00130,R00130,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1744,s_0346__91__c__93__ + s_0803__91__c__93__ => s_0345__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__,R04638,R04638,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1790,s_0437__91__m__93__ + s_0716__91__m__93__ + s_0799__91__m__93__ => s_0636__91__m__93__ + s_0688__91__m__93__,R00161,R00161,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1821,s_0434__91__c__93__ + s_0790__91__c__93__ => s_0394__91__c__93__ + s_0782__91__c__93__ + s_0794__91__c__93__,R01228,R01228,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1838,s_0182__91__m__93__ + s_0376__91__m__93__ + s_0807__91__m__93__ => s_0532__91__m__93__ + s_0799__91__m__93__ + s_0834__91__m__93__,R00271,R00271,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1850,s_0434__91__c__93__ + s_0856__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_0849__91__c__93__,R01131,R01131,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1872,s_0794__91__c__93__ + s_0952__91__c__93__ => s_0418__91__c__93__ + s_0456__91__c__93__,R03758,R03758,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1887,s_0997__91__c__93__ <=> s_0118__91__c__93__ + s_0794__91__c__93__ + s_0803__91__c__93__,R03314,R03314,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1936,s_0629__91__c__93__ => s_1151__91__c__93__ + s_1322__91__c__93__,R01016,R01016,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_1989,s_1272__91__e__93__ =>,R00363,R00363,1,,chebi,2342,True,False,exchange_ssx,0, +BIOMD0000001063,r_1997,s_0437__91__m__93__ + s_0799__91__m__93__ + s_1308__91__m__93__ => s_0200__91__m__93__ + s_0636__91__m__93__,R03035,R03035,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2025,s_0434__91__c__93__ + s_1392__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1393__91__c__93__,R00174,R00174,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2026,s_0434__91__c__93__ + s_1394__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1395__91__c__93__,R02493,R02493,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2027,s_0803__91__c__93__ + s_1395__91__c__93__ => s_1322__91__c__93__ + s_1394__91__c__93__,R02494,R02494,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2029,s_0434__91__c__93__ + s_1396__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_1398__91__c__93__,R01909,R01909,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2030,s_0313__91__c__93__ + s_0803__91__c__93__ => s_0314__91__c__93__ + s_1322__91__c__93__,R07280,R07280,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2031,s_1322__91__c__93__ + s_1556__91__c__93__ <=> s_0415__91__c__93__ + s_1550__91__c__93__,R01876,R01876,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2064,s_0803__91__c__93__ + s_1497__91__c__93__ => s_1322__91__c__93__ + s_1489__91__c__93__,R02135,R02135,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2065,s_0803__91__c__93__ + s_1489__91__c__93__ => s_0270__91__c__93__ + s_0310__91__c__93__ + s_0794__91__c__93__,R02133,R02133,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2069,s_0434__91__c__93__ + s_1497__91__c__93__ => s_0394__91__c__93__ + s_1475__91__c__93__,R00617,R00617,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2074,s_0434__91__c__93__ + s_1493__91__c__93__ => s_0394__91__c__93__ + s_0649__91__c__93__ + s_0794__91__c__93__,R01567,R01567,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2112,s_1020__91__c__93__ + s_1399__91__c__93__ <=> s_0803__91__c__93__ + s_0955__91__c__93__ + s_2763__91__c__93__,R01959,R01959,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2113,2 s_0794__91__c__93__ + s_1212__91__c__93__ + s_2763__91__c__93__ => s_0803__91__c__93__ + s_1207__91__c__93__ + s_2764__91__c__93__,R03687,R03687,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2114,s_0147__91__c__93__ => s_0794__91__c__93__ + s_0803__91__c__93__ + s_1403__91__c__93__,R04293,R04293,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2115,s_0359__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__ => s_0680__91__c__93__ + s_1198__91__c__93__,R00754,R00754,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2116,s_0359__91__c__93__ + s_0803__91__c__93__ + s_1198__91__c__93__ => s_0362__91__c__93__ + 2 s_0794__91__c__93__ + s_1203__91__c__93__,R00710,R00710,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2117,s_1032__91__c__93__ + s_1399__91__c__93__ <=> s_0951__91__c__93__ + s_0955__91__c__93__,R00692,R00692,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2118,s_0951__91__c__93__ + s_1048__91__c__93__ => s_0855__91__c__93__ + s_1032__91__c__93__,R00684,R00684,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2119,s_0204__91__c__93__ + s_0955__91__c__93__ <=> s_1051__91__c__93__ + s_1399__91__c__93__,R00734,R00734,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2125,s_0529__91__c__93__ <=> s_0531__91__lp__93__,R00197,R00197,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2126,s_0803__91__c__93__ + s_1426__91__c__93__ => s_1322__91__c__93__ + s_1427__91__c__93__,R01845,R01845,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2131,s_0941__91__m__93__ + s_1210__91__m__93__ => s_0182__91__m__93__ + s_0460__91__m__93__ + s_1214__91__m__93__,R00267,R00267,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2156,s_2782__91__erm__93__ + s_2783__91__erm__93__ + s_2789__91__erm__93__ => s_2784__91__erm__93__ + s_2785__91__erm__93__ + s_2790__91__erm__93__,R07758,R07758,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2163,s_2783__91__erm__93__ + s_2790__91__erm__93__ + s_2799__91__erm__93__ => s_2800__91__erm__93__ + s_2803__91__erm__93__,R07759,R07759,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2168,s_2801__91__erm__93__ <=> s_2808__91__erm__93__ + s_2809__91__erm__93__,R04740,R04740,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2170,s_2803__91__erm__93__ <=> s_2808__91__erm__93__ + s_2811__91__erm__93__,R07760,R07760,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2175,s_2783__91__erm__93__ + s_2799__91__erm__93__ + s_2809__91__erm__93__ => s_2787__91__erm__93__ + s_2800__91__erm__93__,R03989,R03989,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2177,s_2783__91__erm__93__ + s_2799__91__erm__93__ + s_2811__91__erm__93__ => s_2791__91__erm__93__ + s_2800__91__erm__93__,R07761,R07761,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2196,s_2785__91__erm__93__ + s_2831__91__erm__93__ + s_2836__91__erm__93__ <=> s_2789__91__erm__93__ + s_2833__91__erm__93__ + s_2834__91__erm__93__,R01280,R01280,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2202,s_0531__91__lp__93__ + s_2840__91__lp__93__ + s_2846__91__lp__93__ <=> s_0635__91__lp__93__ + s_2842__91__lp__93__ + s_2847__91__lp__93__,R01280,R01280,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2235,s_0809__91__p__93__ + s_1265__91__p__93__ => s_0534__91__p__93__ + s_0801__91__p__93__ + s_2855__91__p__93__,R08176,R08176,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2248,s_0809__91__p__93__ + s_1507__91__p__93__ => s_0042__91__p__93__,R04744,R04744,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2249,s_0809__91__p__93__ + s_1510__91__p__93__ => s_0048__91__p__93__,R04170,R04170,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2250,s_0809__91__p__93__ + s_1519__91__p__93__ => s_0054__91__p__93__,R04740,R04740,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2251,s_0809__91__p__93__ + s_0823__91__p__93__ => s_0051__91__p__93__,R04738,R04738,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2252,s_0809__91__p__93__ + s_1516__91__p__93__ => s_0229__91__p__93__,R07760,R07760,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2266,s_0042__91__p__93__ + s_1202__91__p__93__ => s_0239__91__p__93__ + s_0801__91__p__93__ + s_1206__91__p__93__,R04743,R04743,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2267,s_0048__91__p__93__ + s_1202__91__p__93__ => s_0247__91__p__93__ + s_0801__91__p__93__ + s_1206__91__p__93__,R04741,R04741,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2268,s_0051__91__p__93__ + s_1202__91__p__93__ => s_0253__91__p__93__ + s_0801__91__p__93__ + s_1206__91__p__93__,R04737,R04737,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2283,s_0534__91__p__93__ + s_2914__91__p__93__ => 2 s_0378__91__p__93__,R00238,R00238,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_2305,s_0516__91__c__93__ + s_0803__91__c__93__ <=> s_0940__91__c__93__,R01900,R01900,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4039,s_0365__91__m__93__ + s_1464__91__m__93__ <=> s_0376__91__m__93__ + s_1460__91__m__93__,R10343,R10343,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4042,s_0805__91__e__93__ + s_3715__91__e__93__ => s_0554__91__e__93__ + s_3716__91__e__93__,R02410,R02410,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4045,s_0803__91__c__93__ + s_1556__91__c__93__ => s_0575__91__c__93__ + s_1550__91__c__93__,R01080,R01080,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4152,s_3748__91__m__93__ <=> s_0712__91__m__93__ + s_3749__91__m__93__,R02480,R02480,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4153,s_0794__91__c__93__ + s_1203__91__c__93__ + s_3750__91__c__93__ => s_0020__91__c__93__ + s_1198__91__c__93__,R02855,R02855,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4154,s_1201__91__n__93__ + s_3751__91__n__93__ <=> s_0794__91__c__93__ + s_3752__91__n__93__ + s_3753__91__n__93__,R02855,R02855,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4158,s_0794__91__c__93__ + s_1212__91__c__93__ + 2 s_3762__91__c__93__ <=> s_1207__91__c__93__ + 2 s_3763__91__c__93__,R02364,R02364,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4159,s_3764__91__er__93__ + s_3765__91__er__93__ <=> s_0795__91__er__93__ + s_3766__91__er__93__ + s_3767__91__er__93__,R05970,R05970,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4164,s_0439__91__p__93__ + s_0534__91__p__93__ + s_3769__91__p__93__ <=> s_0426__91__p__93__ + s_0638__91__p__93__ + s_3770__91__p__93__,R01558,R01558,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4165,s_0804__91__er__93__ + s_3771__91__er__93__ <=> s_3772__91__er__93__ + s_3773__91__er__93__,R05980,R05980,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4166,s_0804__91__er__93__ + s_3773__91__er__93__ <=> s_3772__91__er__93__ + s_3774__91__er__93__,R05981,R05981,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4170,s_0646__91__er__93__ + s_3764__91__er__93__ <=> s_3765__91__er__93__ + s_3781__91__er__93__,R01007,R01007,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4171,s_0750__91__c__93__ + s_0803__91__c__93__ => s_0983__91__c__93__ + s_0991__91__c__93__,R03916,R03916,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4173,s_3784__91__m__93__ + s_3785__91__m__93__ <=> s_0957__91__m__93__ + s_3786__91__m__93__,R11528,R11528,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4177,s_1198__91__c__93__ + s_3793__91__c__93__ <=> s_0794__91__c__93__ + s_1203__91__c__93__ + s_3794__91__c__93__,R05347,R05347,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4180,s_1198__91__c__93__ + s_3799__91__c__93__ <=> s_0794__91__c__93__ + s_1203__91__c__93__ + s_3800__91__c__93__,R01763,R01763,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4183,s_1198__91__c__93__ + s_3805__91__c__93__ <=> s_0553__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R00868,R00868,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4184,s_3806__91__c__93__ <=> 2 s_1399__91__c__93__,R00008,R00008,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4185,s_0794__91__c__93__ + s_1271__91__c__93__ => s_0456__91__c__93__ + s_1399__91__c__93__,R00217,R00217,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4186,s_0803__91__c__93__ + s_1029__91__c__93__ + s_1620__91__c__93__ <=> s_0794__91__c__93__ + s_1616__91__c__93__ + s_3807__91__c__93__,R07606,R07606,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4187,s_0437__91__m__93__ + s_1037__91__m__93__ + s_3808__91__m__93__ => s_0424__91__m__93__ + s_0636__91__m__93__ + s_3809__91__m__93__,R03661,R03661,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4188,s_0750__91__c__93__ => s_0983__91__c__93__ + s_3810__91__c__93__,R11861,R11861,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4189,s_3811__91__m__93__ <=> s_0807__91__m__93__ + s_3812__91__m__93__,R04734,R04734,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4190,2 s_0799__91__m__93__ + 2 s_3813__91__m__93__ => s_0838__91__m__93__ + s_1278__91__m__93__,R00275,R00275,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4191,s_0803__91__c__93__ + s_3814__91__c__93__ <=> s_1322__91__c__93__ + s_3815__91__c__93__,R02587,R02587,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4192,s_1416__91__c__93__ + s_3816__91__c__93__ <=> s_0794__91__c__93__ + s_1413__91__c__93__ + s_3817__91__c__93__,R03875,R03875,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4193,s_3818__91__n__93__ + s_3819__91__n__93__ <=> s_0800__91__n__93__ + s_3820__91__n__93__ + s_3821__91__n__93__,R03938,R03938,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4196,s_2818__91__erm__93__ + 2 s_4210__91__erm__93__ <=> s_2783__91__erm__93__ + 2 s_4209__91__erm__93__,R00100,R00100,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4197,s_1205__91__m__93__ + 2 s_3826__91__m__93__ <=> s_0799__91__m__93__ + s_1200__91__m__93__ + 2 s_3827__91__m__93__,R00100,R00100,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4199,s_3830__91__er__93__ + s_3831__91__er__93__ <=> s_3832__91__er__93__ + s_3833__91__er__93__,R03522,R03522,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4200,s_0750__91__c__93__ + s_3834__91__c__93__ <=> s_3835__91__c__93__ + s_3836__91__c__93__,R03522,R03522,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4201,s_0752__91__m__93__ + s_4028__91__m__93__ <=> s_4029__91__m__93__ + s_4030__91__m__93__,R03522,R03522,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4202,s_0803__91__c__93__ + s_1029__91__c__93__ + s_1620__91__c__93__ <=> s_0794__91__c__93__ + s_1616__91__c__93__ + s_3837__91__c__93__,R02025,R02025,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4205,s_0434__91__c__93__ + 2 s_0803__91__c__93__ + s_3810__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_0991__91__c__93__ + s_1322__91__c__93__,R00251,R00251,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4206,s_3841__91__c__93__ <=> s_0419__91__c__93__ + s_1271__91__c__93__,R05758,R05758,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4207,s_3842__91__p__93__ + s_3843__91__p__93__ <=> s_3844__91__p__93__ + s_3845__91__p__93__,R03522,R03522,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4208,2 s_0750__91__c__93__ + s_3846__91__c__93__ <=> s_0754__91__c__93__ + s_3847__91__c__93__,R01108,R01108,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4209,2 s_3843__91__p__93__ + s_3848__91__p__93__ <=> s_3849__91__p__93__ + s_3850__91__p__93__,R01108,R01108,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4210,s_1552__91__c__93__ <=> s_0803__91__c__93__ + s_3851__91__c__93__,R00778,R00778,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4211,s_0764__91__c__93__ + s_0999__91__c__93__ + s_3852__91__c__93__ <=> s_0794__91__c__93__ + 3 s_0803__91__c__93__ + s_0991__91__c__93__ + s_1322__91__c__93__ + s_1393__91__c__93__,R10089,R10089,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4212,s_0577__91__c__93__ + s_0764__91__c__93__ + s_0999__91__c__93__ <=> s_0794__91__c__93__ + 3 s_0803__91__c__93__ + s_0991__91__c__93__ + s_1322__91__c__93__ + s_1393__91__c__93__,R07456,R07456,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4214,s_0803__91__c__93__ + s_0983__91__c__93__ <=> s_0981__91__c__93__ + s_1003__91__c__93__,R00899,R00899,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4215,s_0803__91__c__93__ + s_3853__91__c__93__ <=> s_1003__91__c__93__ + s_3854__91__c__93__,R04951,R04951,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4216,s_0714__91__c__93__ + s_0803__91__c__93__ <=> s_1322__91__c__93__ + s_1405__91__c__93__,R00548,R00548,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4217,4 s_0799__91__m__93__ + 4 s_0926__91__m__93__ + s_1278__91__m__93__ <=> 2 s_0807__91__m__93__ + 4 s_3855__91__m__93__,R00078,R00078,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4220,s_0803__91__c__93__ + s_3859__91__c__93__ <=> s_0794__91__c__93__ + s_1322__91__c__93__ + s_3860__91__c__93__,R03024,R03024,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4221,s_1198__91__c__93__ + s_3861__91__c__93__ <=> s_0794__91__c__93__ + s_1043__91__c__93__ + s_1203__91__c__93__,R02896,R02896,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4222,s_0434__91__c__93__ + s_3862__91__c__93__ => s_0394__91__c__93__ + s_0410__91__c__93__ + s_0794__91__c__93__,R01092,R01092,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4223,s_0807__91__m__93__ + s_3863__91__m__93__ => s_0532__91__m__93__ + s_0799__91__m__93__ + s_3864__91__m__93__,R03352,R03352,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4226,s_0180__91__c__93__ + s_0955__91__c__93__ <=> s_0991__91__c__93__ + s_1399__91__c__93__,R00258,R00258,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4227,s_0803__91__c__93__ + s_3867__91__c__93__ <=> s_0419__91__c__93__ + s_1321__91__c__93__,R02540,R02540,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4228,s_0803__91__c__93__ + s_3868__91__c__93__ => s_0419__91__c__93__ + s_0853__91__c__93__,R03096,R03096,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4230,s_0419__91__c__93__ + s_3871__91__c__93__ <=> s_0803__91__c__93__ + s_3872__91__c__93__,R05551,R05551,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4232,s_0434__91__c__93__ + s_3875__91__c__93__ => s_0340__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__,R01737,R01737,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4233,s_1416__91__c__93__ + s_3876__91__c__93__ <=> s_1413__91__c__93__ + s_3877__91__c__93__,R04496,R04496,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4234,s_3764__91__er__93__ + s_3878__91__er__93__ <=> s_0795__91__er__93__ + s_3766__91__er__93__ + s_3879__91__er__93__,R05916,R05916,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4236,s_0025__91__c__93__ + s_0794__91__c__93__ <=> s_0803__91__c__93__ + s_1151__91__c__93__,R09796,R09796,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4239,s_0428__91__c__93__ + s_3884__91__c__93__ <=> s_0794__91__c__93__ + s_1583__91__c__93__ + s_3885__91__c__93__,R03862,R03862,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4240,s_3886__91__er__93__ + s_3887__91__er__93__ <=> s_0795__91__er__93__ + s_3888__91__er__93__ + s_3889__91__er__93__,R05976,R05976,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4241,s_0804__91__er__93__ + s_3889__91__er__93__ <=> s_3771__91__er__93__ + s_3772__91__er__93__,R05979,R05979,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4242,s_3890__91__er__93__ + s_3891__91__er__93__ <=> s_0795__91__er__93__ + s_3892__91__er__93__ + s_3893__91__er__93__,R08599,R08599,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4243,s_3890__91__er__93__ + s_3894__91__er__93__ <=> s_0795__91__er__93__ + s_3892__91__er__93__ + s_3895__91__er__93__,R05973,R05973,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4244,s_3890__91__er__93__ + s_3895__91__er__93__ <=> s_0795__91__er__93__ + s_3892__91__er__93__ + s_3896__91__er__93__,R06238,R06238,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4245,s_0810__91__v__93__ + s_3897__91__v__93__ => s_3898__91__v__93__ + s_3899__91__v__93__,R09645,R09645,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4247,s_0434__91__c__93__ + s_0445__91__c__93__ + s_1045__91__c__93__ => s_0633__91__c__93__ + s_0803__91__c__93__ + s_3903__91__c__93__,R10463,R10463,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4248,s_3904__91__c__93__ => s_0419__91__c__93__ + s_1399__91__c__93__,R00221,R00221,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4249,s_3905__91__m__93__ + s_3906__91__m__93__ <=> s_0365__91__m__93__ + s_3785__91__m__93__,R00897,R00897,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4250,s_0795__91__er__93__ + s_0804__91__er__93__ + s_3888__91__er__93__ <=> s_0646__91__er__93__ + s_1323__91__er__93__,R01004,R01004,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4251,s_0541__91__m__93__ + s_0799__91__m__93__ + s_3907__91__m__93__ <=> s_0636__91__m__93__ + s_3908__91__m__93__,R01799,R01799,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4252,s_1003__91__c__93__ + s_1198__91__c__93__ + s_3909__91__c__93__ <=> 3 s_0803__91__c__93__ + s_1216__91__c__93__ + s_3910__91__c__93__,R10685,R10685,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4253,s_0795__91__er__93__ + s_3911__91__er__93__ + s_3912__91__er__93__ <=> s_0646__91__er__93__ + s_3887__91__er__93__,R06264,R06264,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4254,s_1203__91__c__93__ + 2 s_1275__91__c__93__ + 2 s_3913__91__c__93__ => s_0794__91__c__93__ + s_1198__91__c__93__ + 2 s_3914__91__c__93__,R05724,R05724,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4255,s_1212__91__c__93__ + 2 s_1275__91__c__93__ + 2 s_3913__91__c__93__ => s_0794__91__c__93__ + s_1207__91__c__93__ + 2 s_3914__91__c__93__,R05725,R05725,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4256,s_0434__91__c__93__ + s_0794__91__c__93__ + s_3915__91__c__93__ => s_0633__91__c__93__ + s_3916__91__c__93__,R07770,R07770,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4258,s_0434__91__c__93__ + s_3915__91__c__93__ + s_3917__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_3918__91__c__93__,R11143,R11143,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4260,s_0803__91__c__93__ + s_3923__91__c__93__ <=> s_0180__91__c__93__ + s_0983__91__c__93__,R12024,R12024,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4261,s_0807__91__m__93__ + s_3924__91__m__93__ <=> s_0182__91__m__93__ + s_3925__91__m__93__,R12024,R12024,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4262,s_0524__91__m__93__ <=> s_0941__91__m__93__,R01324,R01324,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4264,s_0727__91__m__93__ + s_0799__91__m__93__ + s_1205__91__m__93__ => s_1200__91__m__93__ + s_1460__91__m__93__,R00402,R00402,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4265,s_0803__91__c__93__ + s_3927__91__c__93__ => s_0633__91__c__93__ + s_0794__91__c__93__ + s_3928__91__c__93__,R01532,R01532,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4267,s_0617__91__c__93__ + s_0803__91__c__93__ => s_0615__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__,R01855,R01855,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4268,s_0650__91__c__93__ + s_0803__91__c__93__ => s_0633__91__c__93__ + s_0649__91__c__93__ + s_0794__91__c__93__,R11323,R11323,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4270,2 s_0794__91__c__93__ + 2 s_3931__91__c__93__ => s_0837__91__c__93__ + s_1275__91__c__93__,R00275,R00275,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4271,4 s_0804__91__er__93__ + s_3774__91__er__93__ <=> s_3932__91__er__93__ + 4 s_3933__91__er__93__,R05982,R05982,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4272,s_0804__91__er__93__ + s_3774__91__er__93__ <=> s_3891__91__er__93__ + s_3933__91__er__93__,R06722,R06722,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4273,s_0717__91__c__93__ + s_1275__91__c__93__ + s_3934__91__c__93__ <=> s_0359__91__c__93__ + s_0714__91__c__93__ + 2 s_0794__91__c__93__ + s_0803__91__c__93__ + s_3935__91__c__93__,R00025,R00025,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4274,s_0803__91__c__93__ + s_1241__91__c__93__ => s_0178__91__c__93__ + s_0419__91__c__93__ + s_0794__91__c__93__ + s_1458__91__c__93__,R00999,R00999,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4275,s_1212__91__c__93__ + 2 s_3936__91__e__93__ <=> s_0794__91__c__93__ + 2 s_0924__91__c__93__ + s_1207__91__c__93__,R09541,R09541,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4276,s_1212__91__c__93__ + 2 s_4031__91__v__93__ <=> s_0794__91__c__93__ + 2 s_0924__91__c__93__ + s_1207__91__c__93__,R09541,R09541,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4277,s_3937__91__er__93__ + s_3938__91__er__93__ <=> s_0530__91__er__93__ + s_3939__91__er__93__,R00851,R00851,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4278,s_0419__91__c__93__ + s_0434__91__c__93__ + s_3940__91__c__93__ => s_0423__91__c__93__ + s_0633__91__c__93__ + s_0794__91__c__93__ + s_3941__91__c__93__,R03613,R03613,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4279,s_0809__91__p__93__ + s_3942__91__p__93__ => s_0638__91__p__93__ + s_0801__91__p__93__ + s_3943__91__p__93__,R09832,R09832,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4280,s_1254__91__m__93__ + s_3944__91__m__93__ <=> s_1845__91__m__93__ + s_3945__91__m__93__,R07766,R07766,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4281,s_3944__91__m__93__ + s_3946__91__m__93__ <=> s_1845__91__m__93__ + s_3947__91__m__93__,R07769,R07769,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4282,s_0434__91__c__93__ + s_3948__91__c__93__ => s_0394__91__c__93__ + s_0442__91__c__93__ + s_0794__91__c__93__,R02732,R02732,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4283,s_0434__91__c__93__ + s_0553__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_3948__91__c__93__,R00867,R00867,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4284,s_0434__91__c__93__ + s_3949__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_3950__91__c__93__,R01600,R01600,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4285,s_0434__91__c__93__ + s_3951__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_3952__91__c__93__,R01786,R01786,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4286,s_0434__91__c__93__ + s_3953__91__c__93__ => s_0394__91__c__93__ + s_0412__91__c__93__ + s_0794__91__c__93__,R01961,R01961,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4287,s_0434__91__c__93__ + s_3954__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_3948__91__c__93__,R03920,R03920,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4288,s_3952__91__c__93__ <=> s_3950__91__c__93__,R02739,R02739,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4291,s_0570__91__c__93__ + s_0803__91__c__93__ + s_1198__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3958__91__c__93__,R01752,R01752,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4292,s_0274__91__c__93__ + s_0803__91__c__93__ + s_1207__91__c__93__ <=> s_0734__91__c__93__ + 2 s_0794__91__c__93__ + s_1212__91__c__93__,R01986,R01986,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4293,s_0274__91__c__93__ + s_0803__91__c__93__ + s_1198__91__c__93__ => s_0734__91__c__93__ + 2 s_0794__91__c__93__ + s_1203__91__c__93__,R02549,R02549,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4294,s_0803__91__c__93__ + s_0850__91__c__93__ + s_1198__91__c__93__ => 2 s_0794__91__c__93__ + s_0853__91__c__93__ + s_1203__91__c__93__,R02678,R02678,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4295,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3959__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3960__91__c__93__,R02940,R02940,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4296,2 s_0803__91__c__93__ + s_1198__91__c__93__ + s_3961__91__c__93__ => 3 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3962__91__c__93__,R02957,R02957,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4297,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3963__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3964__91__c__93__,R03283,R03283,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4298,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3965__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3966__91__c__93__,R03869,R03869,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4299,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3967__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3968__91__c__93__,R04065,R04065,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4300,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3969__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3970__91__c__93__,R04506,R04506,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4301,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3971__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3972__91__c__93__,R04903,R04903,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4302,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3973__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3974__91__c__93__,R05050,R05050,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4303,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3975__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3976__91__c__93__,R05237,R05237,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4304,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3977__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3978__91__c__93__,R05238,R05238,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4305,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3979__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3980__91__c__93__,R05286,R05286,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4306,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3981__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3982__91__c__93__,R06366,R06366,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4307,s_0803__91__c__93__ + s_1198__91__c__93__ + s_3983__91__c__93__ <=> 2 s_0794__91__c__93__ + s_1203__91__c__93__ + s_3984__91__c__93__,R08146,R08146,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4310,2 s_3890__91__er__93__ + s_3896__91__er__93__ <=> 2 s_0795__91__er__93__ + 2 s_3892__91__er__93__ + s_3989__91__er__93__,R06127,R06127,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4311,2 s_3890__91__er__93__ + s_3989__91__er__93__ <=> 2 s_0795__91__er__93__ + 2 s_3892__91__er__93__ + s_3990__91__er__93__,R06128,R06128,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4312,s_1416__91__c__93__ + s_3991__91__c__93__ <=> s_0794__91__c__93__ + s_1413__91__c__93__ + s_3992__91__c__93__,R02144,R02144,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4313,s_0644__91__er__93__ + s_3993__91__er__93__ <=> s_0646__91__er__93__ + s_3994__91__er__93__,R06259,R06259,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4314,s_0644__91__er__93__ + s_3995__91__er__93__ <=> s_0646__91__er__93__ + s_3996__91__er__93__,R06261,R06261,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4315,s_1198__91__c__93__ + s_3997__91__c__93__ <=> s_0779__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R00717,R00717,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4316,s_0644__91__er__93__ + s_3994__91__er__93__ <=> s_0646__91__er__93__ + s_3995__91__er__93__,R06260,R06260,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4317,s_0803__91__c__93__ + s_3998__91__c__93__ <=> s_0553__91__c__93__ + s_0563__91__c__93__,R00801,R00801,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4318,s_0803__91__c__93__ + s_3999__91__c__93__ <=> s_0563__91__c__93__ + s_3951__91__c__93__,R01718,R01718,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4319,2 s_0803__91__c__93__ + s_4000__91__c__93__ <=> 2 s_0563__91__c__93__,R01791,R01791,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4320,s_0795__91__er__93__ + s_3911__91__er__93__ + s_3996__91__er__93__ <=> s_0646__91__er__93__ + s_4001__91__er__93__,R06262,R06262,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4321,s_0795__91__er__93__ + s_3911__91__er__93__ + s_4001__91__er__93__ <=> s_0646__91__er__93__ + s_3912__91__er__93__,R06263,R06263,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4322,s_0644__91__er__93__ + s_4002__91__er__93__ <=> s_0646__91__er__93__ + s_0795__91__er__93__ + s_4003__91__er__93__,R07129,R07129,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4323,2 s_1419__91__m__93__ + s_3945__91__m__93__ + 2 s_4004__91__m__93__ <=> 2 s_1031__91__m__93__ + s_3947__91__m__93__ + 2 s_4005__91__m__93__,R07767,R07767,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4324,s_1254__91__m__93__ + 2 s_1419__91__m__93__ + 2 s_4004__91__m__93__ <=> 2 s_1031__91__m__93__ + s_3946__91__m__93__ + 2 s_4005__91__m__93__,R07768,R07768,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4326,s_4009__91__m__93__ + s_4010__91__m__93__ <=> 2 s_0799__91__m__93__ + s_4011__91__m__93__ + s_4012__91__m__93__,R01931,R01931,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4328,s_0646__91__er__93__ + s_4015__91__er__93__ <=> 2 s_0795__91__er__93__ + s_3766__91__er__93__ + s_3911__91__er__93__,R01005,R01005,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4330,s_1207__91__c__93__ + s_1396__91__c__93__ <=> s_0794__91__c__93__ + s_1212__91__c__93__ + s_1392__91__c__93__,R01708,R01708,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4331,s_0509__91__c__93__ + s_0803__91__c__93__ <=> s_4017__91__c__93__,R01206,R01206,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4333,s_0803__91__c__93__ + s_4018__91__c__93__ <=> s_0794__91__c__93__ + 2 s_1322__91__c__93__,R03042,R03042,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4336,s_0803__91__c__93__ + s_4021__91__c__93__ <=> s_0180__91__c__93__ + s_0419__91__c__93__,R03804,R03804,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4338,s_0803__91__c__93__ + s_4024__91__c__93__ <=> 2 s_3951__91__c__93__,R06199,R06199,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4342,s_0803__91__c__93__ + s_4062__91__c__93__ => s_0765__91__c__93__ + s_1322__91__c__93__,R01043,R01043,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4347,s_0803__91__c__93__ + s_4068__91__c__93__ => s_0790__91__c__93__ + s_1322__91__c__93__,R02148,R02148,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4350,s_0803__91__c__93__ + s_4071__91__c__93__ => s_1322__91__c__93__ + s_3997__91__c__93__,R01334,R01334,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4353,s_1275__91__c__93__ + s_4073__91__c__93__ => s_0794__91__c__93__ + s_4076__91__c__93__,R02467,R02467,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4354,s_0803__91__c__93__ + s_1198__91__c__93__ + s_4076__91__c__93__ => s_0794__91__c__93__ + s_1203__91__c__93__ + s_1471__91__c__93__,R01681,R01681,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4355,s_0178__91__c__93__ + s_0991__91__c__93__ <=> s_0180__91__c__93__ + s_4079__91__c__93__,R10991,R10991,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4359,s_0803__91__c__93__ + s_4083__91__c__93__ => s_1322__91__c__93__ + s_1556__91__c__93__,R01877,R01877,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4363,s_4088__91__c__93__ => s_1322__91__c__93__ + s_4089__91__c__93__,R07420,R07420,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4366,s_0394__91__c__93__ + s_0794__91__c__93__ + s_4092__91__c__93__ <=> s_0434__91__c__93__ + s_0965__91__c__93__,R00554,R00554,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4374,s_0803__91__c__93__ + s_4104__91__c__93__ => s_0794__91__c__93__ + s_0955__91__c__93__ + s_1469__91__c__93__,R00863,R00863,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4376,s_0803__91__c__93__ + s_4106__91__c__93__ => s_0386__91__c__93__ + s_1322__91__c__93__,R01562,R01562,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4382,2 s_0709__91__m__93__ + 2 s_4113__91__c__93__ <=> 2 s_0710__91__m__93__ + s_4112__91__c__93__,R00029,R00029,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4384,s_0794__91__c__93__ + s_1212__91__c__93__ + s_4117__91__c__93__ => s_1207__91__c__93__ + s_3875__91__c__93__,R01740,R01740,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4393,s_0434__91__c__93__ + s_4128__91__c__93__ => s_0394__91__c__93__ + s_0794__91__c__93__ + s_4129__91__c__93__,R02927,R02927,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4396,s_0434__91__c__93__ + s_0529__91__c__93__ + s_4132__91__c__93__ => s_0367__91__c__93__ + s_0423__91__c__93__ + s_0633__91__c__93__,R01357,R01357,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4400,s_0805__91__e__93__ + s_4140__91__e__93__ => s_0565__91__e__93__ + s_1106__91__e__93__,R05196,R05196,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4403,s_0803__91__c__93__ + s_4098__91__c__93__ => s_0633__91__c__93__ + s_1322__91__c__93__,R00138,R00138,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4407,s_0803__91__c__93__ + s_4077__91__c__93__ <=> s_1322__91__c__93__ + s_3904__91__c__93__,R02853,R02853,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4410,s_4136__91__c__93__ <=> s_0779__91__c__93__ + s_1271__91__c__93__,R00477,R00477,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4411,s_0803__91__c__93__ + s_4138__91__c__93__ => s_0419__91__c__93__ + s_0794__91__c__93__ + s_1399__91__c__93__ + s_1469__91__c__93__,R07634,R07634,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4435,s_0803__91__c__93__ + s_4048__91__c__93__ => s_0765__91__c__93__ + s_1322__91__c__93__,R08658,R08658,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4484,s_0841__91__c__93__ + s_1241__91__c__93__ <=> s_1012__91__c__93__ + s_1458__91__c__93__,R01288,R01288,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4485,s_0204__91__c__93__ + s_1275__91__c__93__ => s_0456__91__c__93__ + s_4177__91__c__93__,R02521,R02521,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4486,s_1275__91__c__93__ + s_4177__91__c__93__ => s_0794__91__c__93__ + s_4178__91__c__93__,R02519,R02519,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4487,s_4178__91__c__93__ => s_4179__91__c__93__,R03181,R03181,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4488,s_0803__91__c__93__ + s_4179__91__c__93__ => s_0725__91__c__93__ + s_0794__91__c__93__ + s_4132__91__c__93__,R01364,R01364,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4489,s_0961__91__c__93__ + s_1198__91__c__93__ => s_0794__91__c__93__ + s_1203__91__c__93__ + s_4180__91__c__93__,R01903,R01903,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4490,s_0794__91__c__93__ + s_1212__91__c__93__ + s_4180__91__c__93__ <=> s_1207__91__c__93__ + s_1566__91__c__93__,R01904,R01904,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4492,s_1198__91__c__93__ + s_4181__91__c__93__ => s_0580__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R05604,R05604,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4566,s_0340__91__c__93__ + s_0394__91__c__93__ + s_0794__91__c__93__ => s_0434__91__c__93__ + s_3875__91__c__93__,R01737,R01737,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4568,s_0794__91__c__93__ + s_1321__91__c__93__ => s_4194__91__c__93__,R06790,R06790,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4569,s_0362__91__c__93__ + s_0794__91__c__93__ + s_4195__91__c__93__ => s_0803__91__c__93__ + s_4194__91__c__93__,R06893,R06893,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4570,s_1198__91__c__93__ + s_4182__91__c__93__ <=> s_0180__91__c__93__ + s_0794__91__c__93__ + s_1203__91__c__93__,R08198,R08198,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4572,s_0180__91__c__93__ + s_0441__91__c__93__ <=> s_0991__91__c__93__ + s_4184__91__c__93__,R00908,R00908,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4573,s_0529__91__c__93__ + s_1198__91__c__93__ + s_4184__91__c__93__ => s_0373__91__c__93__ + s_0456__91__c__93__ + s_1203__91__c__93__,R00705,R00705,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4574,s_0529__91__c__93__ + s_1207__91__c__93__ + s_4184__91__c__93__ => s_0373__91__c__93__ + s_0456__91__c__93__ + s_1212__91__c__93__,R00706,R00706,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4575,s_0794__91__c__93__ + s_4184__91__c__93__ => s_0359__91__c__93__ + s_0456__91__c__93__,R06973,R06973,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4576,s_1207__91__c__93__ + s_4185__91__c__93__ <=> s_0794__91__c__93__ + s_1212__91__c__93__ + s_4186__91__c__93__,R04440,R04440,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4577,s_0232__91__c__93__ + s_0803__91__c__93__ => s_4208__91__c__93__,R01209,R01209,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4579,s_0794__91__c__93__ + 2 s_1399__91__c__93__ => s_0456__91__c__93__ + s_4188__91__c__93__,R00226,R00226,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4580,s_1207__91__c__93__ + s_4185__91__c__93__ <=> s_0794__91__c__93__ + s_1212__91__c__93__ + s_4188__91__c__93__,R04439,R04439,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4581,s_1198__91__c__93__ + s_4189__91__c__93__ => s_0178__91__c__93__ + s_0456__91__c__93__ + s_1203__91__c__93__,R00994,R00994,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4583,s_0803__91__c__93__ + s_4190__91__c__93__ => s_0529__91__c__93__ + s_0794__91__c__93__ + s_4191__91__c__93__,R08177,R08177,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4585,s_0803__91__c__93__ + s_4192__91__c__93__ => s_0558__91__c__93__ + s_4193__91__c__93__,R03634,R03634,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4629,s_0682__91__m__93__ + s_4211__91__m__93__ <=> s_0532__91__m__93__ + s_4212__91__m__93__,R00627,R00627,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4630,s_0682__91__m__93__ + s_4213__91__m__93__ <=> s_0532__91__m__93__ + s_4214__91__m__93__,R00627,R00627,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4631,s_0682__91__m__93__ + s_4215__91__m__93__ <=> s_0532__91__m__93__ + s_4216__91__m__93__,R00627,R00627,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4632,s_0376__91__m__93__ + s_4217__91__m__93__ <=> s_0532__91__m__93__ + s_4218__91__m__93__,R00627,R00627,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4633,s_0682__91__m__93__ + s_4219__91__m__93__ <=> s_0532__91__m__93__ + s_4220__91__m__93__,R00627,R00627,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4649,s_0376__91__m__93__ + s_0682__91__m__93__ => s_0532__91__m__93__ + s_4231__91__m__93__,R11957,R11957,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4651,s_0178__91__c__93__ + s_0794__91__c__93__ => s_0456__91__c__93__ + s_4232__91__c__93__,R00636,R00636,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4652,s_0794__91__c__93__ + s_1203__91__c__93__ + s_4232__91__c__93__ => s_1198__91__c__93__ + s_4233__91__c__93__,R00754,R00754,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4660,s_0294__91__c__93__ + s_0794__91__c__93__ <=> s_0456__91__c__93__ + s_4238__91__c__93__,R00636,R00636,1,,chebi,2342,False,True,,0, +BIOMD0000001063,r_4661,s_0794__91__c__93__ + s_1203__91__c__93__ + s_4238__91__c__93__ => s_1198__91__c__93__ + s_4239__91__c__93__,R00754,R00754,1,,chebi,2342,False,True,,0, +BIOMD0000001090,R_R00004_C3_cytop,M_C00001_cytop + M_C00013_cytop => 2 M_C00009_cytop,R00004,R00004,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00014_C3_cytop,M_C00068_cytop + M_C00022_cytop => M_C05125_cytop + M_C00011_cytop,R00014,R00014,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00066_C3_cytop,2 M_C04332_cytop => M_C00255_cytop + M_C04732_cytop,R00066,R00066,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00086_C3_cytop,M_C00001_cytop + M_C00002_cytop => M_C00009_cytop + M_C00008_cytop,R00086,R00086,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00104_C3_cytop,M_C00002_cytop + M_C00003_cytop => M_C00006_cytop + M_C00008_cytop,R00104,R00104,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00127_C3_cytop,M_C00020_cytop + M_C00002_cytop => 2 M_C00008_cytop,R00127,R00127,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00130_C3_cytop,M_C00882_cytop + M_C00002_cytop => M_C00010_cytop + M_C00008_cytop,R00130,R00130,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00137_C3_cytop,M_C00455_cytop + M_C00080_cytop + M_C00002_cytop => M_C00013_cytop + M_C00003_cytop,R00137,R00137,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00150_C3_cytop,M_C00014_cytop + M_C00002_cytop + M_C00011_cytop => M_C00008_cytop + M_C00169_cytop,R00150,R00150,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00156_C3_cytop,M_C00002_cytop + M_C00015_cytop <=> M_C00008_cytop + M_C00075_cytop,R00156,R00156,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00158_C3_cytop,M_C00002_cytop + M_C00105_cytop <=> M_C00015_cytop + M_C00008_cytop,R00158,R00158,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00161_C3_cytop,M_C00002_cytop + M_C00061_cytop => M_C00016_cytop + M_C00013_cytop,R00161,R00161,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00174_C3_cytop,M_C00250_cytop + M_C00002_cytop => M_C00008_cytop + M_C00018_cytop,R00174,R00174,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00177_C3_cytop,M_C00001_cytop + M_C00002_cytop + M_C00073_cytop => M_C00019_cytop + M_C00009_cytop + M_C00013_cytop,R00177,R00177,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00178_C3_cytop,M_C00080_cytop + M_C00019_cytop => M_C01137_cytop + M_C00011_cytop,R00178,R00178,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00183_C3_cytop,M_C00001_cytop + M_C00020_cytop => M_C00212_cytop + M_C00009_cytop,R00183,R00183,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00188_C3_cytop,M_C00001_cytop + M_C00054_cytop => M_C00020_cytop + M_C00009_cytop,R00188,R00188,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00189_C3_cytop,M_C00014_cytop + M_C00857_cytop + M_C00002_cytop => M_C00020_cytop + M_C00013_cytop + M_C00003_cytop,R00189,R00189,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00190_C3_cytop,M_C00119_cytop + M_C00147_cytop => M_C00020_cytop + M_C00013_cytop,R00190,R00190,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00199_C3_cytop,M_C00020_cytop + M_C00074_cytop + M_C00009_cytop => M_C00001_cytop + M_C00022_cytop + M_C00002_cytop,R00199,R00199,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00200_C3_cytop,M_C00074_cytop + M_C00008_cytop => M_C00022_cytop + M_C00002_cytop,R00200,R00200,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00207_C3_cytop,M_C00007_cytop + M_C00022_cytop + M_C00009_cytop => M_C00227_cytop + M_C00027_cytop + M_C00011_cytop,R00207,R00207,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00209_C3_cytop,M_C00010_cytop + M_C00022_cytop + M_C00003_cytop => M_C00004_cytop + M_C00080_cytop + M_C00024_cytop + M_C00011_cytop,R00209,R00209,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00212_C3_cytop,M_C00010_cytop + M_C00022_cytop => M_C00058_cytop + M_C00024_cytop,R00212,R00212,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00220_C3_cytop,M_C00065_cytop => M_C00014_cytop + M_C00022_cytop,R00220,R00220,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00226_C3_cytop,2 M_C00022_cytop => M_C06010_cytop + M_C00011_cytop,R00226,R00226,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00228_C3_cytop,M_C00010_cytop + M_C00084_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C00024_cytop,R00228,R00228,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00230_C3_cytop,M_C00010_cytop + M_C00227_cytop <=> M_C00024_cytop + M_C00009_cytop,R00230,R00230,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00238_C3_cytop,2 M_C00024_cytop => M_C00010_cytop + M_C00332_cytop,R00238,R00238,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00239_C3_cytop,M_C00002_cytop + M_C00025_cytop => M_C03287_cytop + M_C00008_cytop,R00239,R00239,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00248_C3_cytop,M_C00026_cytop + M_C00080_cytop + M_C00014_cytop + M_C00005_cytop => M_C00001_cytop + M_C00006_cytop + M_C00025_cytop,R00248,R00248,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00253_C3_cytop,M_C00014_cytop + M_C00002_cytop + M_C00025_cytop => M_C00064_cytop + M_C00009_cytop + M_C00008_cytop,R00253,R00253,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00256_C3_cytop,M_C00014_cytop + M_C00025_cytop => M_C00001_cytop + M_C00064_cytop,R00256,R00256,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00258_C3_cytop,M_C00026_cytop + M_C00041_cytop <=> M_C00022_cytop + M_C00025_cytop,R00258,R00258,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00260_C3_cytop,M_C00025_cytop <=> M_C00217_cytop,R00260,R00260,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00281_C3_cytop,2 M_C00004_cytop + M_C00007_cytop + 2 M_C00080_cytop => 2 M_C00001_cytop + 2 M_C00003_cytop,R00281,R00281,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00289_C3_cytop,M_C00103_cytop + M_C00075_cytop => M_C00029_cytop + M_C00013_cytop,R00289,R00289,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00291_C3_cytop,M_C00029_cytop <=> M_C00052_cytop,R00291,R00291,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00315_C3_cytop,M_C00002_cytop + M_C00033_cytop <=> M_C00227_cytop + M_C00008_cytop,R00315,R00315,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00317_C3_cytop,M_C00001_cytop + M_C00227_cytop => M_C00009_cytop + M_C00033_cytop,R00317,R00317,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00330_C3_cytop,M_C00002_cytop + M_C00035_cytop <=> M_C00044_cytop + M_C00008_cytop,R00330,R00330,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00332_C3_cytop,M_C00002_cytop + M_C00144_cytop <=> M_C00008_cytop + M_C00035_cytop,R00332,R00332,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00345_C3_cytop,M_C00001_cytop + M_C00074_cytop + M_C00011_cytop => M_C00036_cytop + M_C00009_cytop,R00345,R00345,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00355_C3_cytop,M_C00036_cytop + M_C00025_cytop => M_C00026_cytop + M_C00049_cytop,R00355,R00355,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00401_C3_cytop,M_C00041_cytop <=> M_C00133_cytop,R00401,R00401,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00416_C3_cytop,M_C04501_cytop + M_C00075_cytop <=> M_C00043_cytop + M_C00013_cytop,R00416,R00416,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00418_C3_cytop,M_C00043_cytop <=> M_C00203_cytop,R00418,R00418,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00426_C3_cytop,M_C00001_cytop + M_C00044_cytop => M_C00144_cytop + M_C00013_cytop,R00426,R00426,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00428_C3_cytop,M_C00001_cytop + M_C00044_cytop => M_C05922_cytop,R00428,R00428,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00430_C3_cytop,M_C00074_cytop + M_C00035_cytop => M_C00022_cytop + M_C00044_cytop,R00430,R00430,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00451_C3_cytop,M_C00680_cytop => M_C00047_cytop + M_C00011_cytop,R00451,R00451,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00462_C3_cytop,M_C00047_cytop => M_C01672_cytop + M_C00011_cytop,R00462,R00462,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00480_C3_cytop,M_C00049_cytop + M_C00002_cytop => M_C03082_cytop + M_C00008_cytop,R00480,R00480,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00483_C3_cytop,M_C00049_cytop + M_C00014_cytop + M_C00002_cytop => M_C00020_cytop + M_C00152_cytop + M_C00013_cytop,R00483,R00483,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00485_C3_cytop,M_C00001_cytop + M_C00152_cytop => M_C00049_cytop + M_C00014_cytop,R00485,R00485,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00506_C3_cytop,2 M_C00052_cytop + M_C00001_cytop => 2 M_C00080_cytop + M_C05796_cytop + 2 M_C00015_cytop,R00506,R00506,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00511_C3_cytop,M_C00001_cytop + M_C00055_cytop => M_C00475_cytop + M_C00009_cytop,R00511,R00511,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00512_C3_cytop,M_C00055_cytop + M_C00002_cytop <=> M_C00008_cytop + M_C00112_cytop,R00512,R00512,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00513_C3_cytop,M_C00475_cytop + M_C00002_cytop => M_C00055_cytop + M_C00008_cytop,R00513,R00513,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00516_C3_cytop,M_C00475_cytop + M_C00075_cytop => M_C00055_cytop + M_C00015_cytop,R00516,R00516,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00517_C3_cytop,M_C00475_cytop + M_C00044_cytop => M_C00055_cytop + M_C00035_cytop,R00517,R00517,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00549_C3_cytop,M_C00002_cytop + M_C00255_cytop => M_C00008_cytop + M_C00061_cytop,R00549,R00549,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00566_C3_cytop,M_C00062_cytop => M_C00179_cytop + M_C00011_cytop,R00566,R00566,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00570_C3_cytop,M_C00002_cytop + M_C00112_cytop <=> M_C00063_cytop + M_C00008_cytop,R00570,R00570,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00571_C3_cytop,M_C00014_cytop + M_C00002_cytop + M_C00075_cytop => M_C00063_cytop + M_C00009_cytop + M_C00008_cytop,R00571,R00571,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00573_C3_cytop,M_C00001_cytop + M_C00002_cytop + M_C00064_cytop + M_C00075_cytop => M_C00063_cytop + M_C00009_cytop + M_C00008_cytop + M_C00025_cytop,R00573,R00573,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00575_C3_cytop,M_C00001_cytop + M_C00080_cytop + 2 M_C00002_cytop + M_C00064_cytop + M_C00288_cytop => M_C00009_cytop + 2 M_C00008_cytop + M_C00169_cytop + M_C00025_cytop,R00575,R00575,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00590_C3_cytop,M_C00065_cytop => M_C00001_cytop + M_C02218_cytop,R00590,R00590,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00619_C3_cytop,M_C00378_cytop + M_C00002_cytop => M_C00020_cytop + M_C00068_cytop,R00619,R00619,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00658_C3_cytop,M_C00631_cytop <=> M_C00001_cytop + M_C00074_cytop,R00658,R00658,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00660_C3_cytop,M_C00074_cytop + M_C00043_cytop => M_C00009_cytop + M_C04631_cytop,R00660,R00660,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00662_C3_cytop,M_C00001_cytop + M_C00075_cytop => M_C00105_cytop + M_C00013_cytop,R00662,R00662,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00694_C3_cytop,M_C00026_cytop + M_C00079_cytop <=> M_C00166_cytop + M_C00025_cytop,R00694,R00694,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00703_C3_cytop,M_C00004_cytop + M_C00080_cytop + M_C00022_cytop => M_C00186_cytop + M_C00003_cytop,R00703,R00703,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00734_C3_cytop,M_C00026_cytop + M_C00082_cytop <=> M_C01179_cytop + M_C00025_cytop,R00734,R00734,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00742_C3_cytop,M_C00080_cytop + M_C00024_cytop + M_C00002_cytop + M_C00288_cytop => M_C00009_cytop + M_C00008_cytop + M_C00083_cytop,R00742,R00742,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00754_C3_cytop,M_C00469_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C00084_cytop,R00754,R00754,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00760_C3_cytop,M_C02336_cytop + M_C00002_cytop => M_C05345_cytop + M_C00008_cytop,R00760,R00760,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00765_C3_cytop,M_C00001_cytop + M_C00352_cytop => M_C05345_cytop + M_C00014_cytop,R00765,R00765,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00768_C3_cytop,M_C05345_cytop + M_C00064_cytop => M_C00352_cytop + M_C00025_cytop,R00768,R00768,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00771_C3_cytop,M_C00668_cytop => M_C05345_cytop,R00771,R00771,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00802_C3_cytop,M_C00001_cytop + M_C00089_cytop => M_C02336_cytop + M_C00267_cytop,R00802,R00802,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00803_C3_cytop,M_C00009_cytop + M_C00089_cytop => M_C02336_cytop + M_C00103_cytop,R00803,R00803,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00842_C3_cytop,M_C00004_cytop + M_C00080_cytop + M_C00111_cytop => M_C00093_cytop + M_C00003_cytop,R00842,R00842,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00844_C3_cytop,M_C00080_cytop + M_C00111_cytop + M_C00005_cytop => M_C00006_cytop + M_C00093_cytop,R00844,R00844,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00847_C3_cytop,M_C00116_cytop + M_C00002_cytop => M_C00008_cytop + M_C00093_cytop,R00847,R00847,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00867_C3_cytop,M_C02336_cytop + M_C00002_cytop => M_C05345_cytop + M_C00008_cytop,R00867,R00867,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00921_C3_cytop,M_C00009_cytop + M_C00100_cytop => M_C00010_cytop + M_C02876_cytop,R00921,R00921,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00936_C3_cytop,M_C00004_cytop + M_C00080_cytop + M_C00415_cytop => M_C00101_cytop + M_C00003_cytop,R00936,R00936,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00937_C3_cytop,2 M_C00004_cytop + M_C00504_cytop + 2 M_C00080_cytop => M_C00101_cytop + 2 M_C00003_cytop,R00937,R00937,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00939_C3_cytop,M_C00080_cytop + M_C00415_cytop + M_C00005_cytop => M_C00101_cytop + M_C00006_cytop,R00939,R00939,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00943_C3_cytop,M_C00058_cytop + M_C00101_cytop + M_C00002_cytop => M_C00009_cytop + M_C00008_cytop + M_C00234_cytop,R00943,R00943,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00945_C3_cytop,M_C00001_cytop + M_C00143_cytop + M_C00037_cytop => M_C00101_cytop + M_C00065_cytop,R00945,R00945,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00946_C3_cytop,M_C00155_cytop + M_C00440_cytop => M_C00101_cytop + M_C00073_cytop,R00946,R00946,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00955_C3_cytop,M_C00029_cytop + M_C00446_cytop <=> M_C00052_cytop + M_C00103_cytop,R00955,R00955,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00959_C3_cytop,M_C00103_cytop <=> M_C00668_cytop,R00959,R00959,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00963_C3_cytop,M_C00001_cytop + M_C00105_cytop => M_C00299_cytop + M_C00009_cytop,R00963,R00963,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00964_C3_cytop,M_C00002_cytop + M_C00299_cytop => M_C00105_cytop + M_C00008_cytop,R00964,R00964,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00965_C3_cytop,M_C01103_cytop => M_C00105_cytop + M_C00011_cytop,R00965,R00965,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00966_C3_cytop,M_C00105_cytop + M_C00013_cytop <=> M_C00119_cytop + M_C00106_cytop,R00966,R00966,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00967_C3_cytop,M_C00299_cytop + M_C00075_cytop => M_C00015_cytop + M_C00105_cytop,R00967,R00967,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00968_C3_cytop,M_C00044_cytop + M_C00299_cytop => M_C00105_cytop + M_C00035_cytop,R00968,R00968,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00985_C3_cytop,M_C00251_cytop + M_C00014_cytop => M_C00001_cytop + M_C00022_cytop + M_C00108_cytop,R00985,R00985,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00986_C3_cytop,M_C00251_cytop + M_C00064_cytop => M_C00022_cytop + M_C00108_cytop + M_C00025_cytop,R00986,R00986,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00996_C3_cytop,M_C00188_cytop => M_C00014_cytop + M_C00109_cytop,R00996,R00996,1,,none,0,False,True,,0, +BIOMD0000001090,R_R00999_C3_cytop,M_C00001_cytop + M_C01118_cytop => M_C00014_cytop + M_C00042_cytop + M_C00109_cytop,R00999,R00999,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01015_C3_cytop,M_C00118_cytop <=> M_C00111_cytop,R01015,R01015,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01021_C3_cytop,M_C00002_cytop + M_C00114_cytop => M_C00588_cytop + M_C00008_cytop,R01021,R01021,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01049_C3_cytop,M_C00002_cytop + M_C00117_cytop => M_C00119_cytop + M_C00020_cytop,R01049,R01049,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01056_C3_cytop,M_C00199_cytop <=> M_C00117_cytop,R01056,R01056,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01057_C3_cytop,M_C00117_cytop <=> M_C00620_cytop,R01057,R01057,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01058_C3_cytop,M_C00001_cytop + M_C00118_cytop + M_C00006_cytop => M_C00080_cytop + M_C00197_cytop + M_C00005_cytop,R01058,R01058,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01061_C3_cytop,M_C00118_cytop + M_C00009_cytop + M_C00003_cytop => M_C00004_cytop + M_C00080_cytop + M_C00236_cytop,R01061,R01061,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01066_C3_cytop,M_C00673_cytop <=> M_C00118_cytop + M_C00084_cytop,R01066,R01066,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01069_C3_cytop,M_C03785_cytop => M_C00118_cytop + M_C00111_cytop,R01069,R01069,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01070_C3_cytop,M_C05378_cytop <=> M_C00118_cytop + M_C00111_cytop,R01070,R01070,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01072_C3_cytop,M_C00001_cytop + M_C00119_cytop + M_C00064_cytop => M_C03090_cytop + M_C00025_cytop + M_C00013_cytop,R01072,R01072,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01073_C3_cytop,M_C00119_cytop + M_C00108_cytop <=> M_C04302_cytop + M_C00013_cytop,R01073,R01073,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01083_C3_cytop,M_C03794_cytop => M_C00020_cytop + M_C00122_cytop,R01083,R01083,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01086_C3_cytop,M_C03406_cytop => M_C00062_cytop + M_C00122_cytop,R01086,R01086,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01090_C3_cytop,M_C00233_cytop + M_C00025_cytop => M_C00026_cytop + M_C00123_cytop,R01090,R01090,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01092_C3_cytop,M_C00002_cytop + M_C00124_cytop => M_C00446_cytop + M_C00008_cytop,R01092,R01092,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01105_C3_cytop,M_C00001_cytop + 2 M_C00080_cytop + M_C05796_cytop => 2 M_C00124_cytop,R01105,R01105,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01121_C3_cytop,M_C01143_cytop + M_C00002_cytop => M_C00009_cytop + M_C00008_cytop + M_C00011_cytop + M_C00129_cytop,R01121,R01121,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01123_C3_cytop,M_C00129_cytop => M_C00235_cytop,R01123,R01123,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01126_C3_cytop,M_C00001_cytop + M_C00130_cytop => M_C00009_cytop + M_C00294_cytop,R01126,R01126,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01127_C3_cytop,M_C04734_cytop => M_C00001_cytop + M_C00130_cytop,R01127,R01127,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01130_C3_cytop,M_C00001_cytop + M_C00003_cytop + M_C00130_cytop => M_C00004_cytop + M_C00080_cytop + M_C00655_cytop,R01130,R01130,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01132_C3_cytop,M_C00013_cytop + M_C00130_cytop <=> M_C00119_cytop + M_C00262_cytop,R01132,R01132,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01134_C3_cytop,M_C00080_cytop + M_C00144_cytop + M_C00005_cytop => M_C00006_cytop + M_C00014_cytop + M_C00130_cytop,R01134,R01134,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01135_C3_cytop,M_C00049_cytop + M_C00044_cytop + M_C00130_cytop => M_C03794_cytop + M_C00009_cytop + M_C00035_cytop,R01135,R01135,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01148_C3_cytop,M_C00026_cytop + M_C00133_cytop => M_C00022_cytop + M_C00217_cytop,R01148,R01148,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01150_C3_cytop,2 M_C00133_cytop + M_C00002_cytop => M_C00009_cytop + M_C00008_cytop + M_C00993_cytop,R01150,R01150,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01152_C3_cytop,M_C00001_cytop + M_C00436_cytop => M_C00014_cytop + M_C00134_cytop + M_C00011_cytop,R01152,R01152,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01214_C3_cytop,M_C00141_cytop + M_C00025_cytop => M_C00183_cytop + M_C00026_cytop,R01214,R01214,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01220_C3_cytop,M_C00006_cytop + M_C00143_cytop <=> M_C00445_cytop + M_C00005_cytop,R01220,R01220,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01221_C3_cytop,M_C00101_cytop + M_C00037_cytop + M_C00003_cytop => M_C00004_cytop + M_C00080_cytop + M_C00014_cytop + M_C00143_cytop + M_C00011_cytop,R01221,R01221,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01224_C3_cytop,M_C00080_cytop + M_C00143_cytop + M_C00005_cytop => M_C00006_cytop + M_C00440_cytop,R01224,R01224,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01227_C3_cytop,M_C00001_cytop + M_C00144_cytop => M_C00009_cytop + M_C00387_cytop,R01227,R01227,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01229_C3_cytop,M_C00119_cytop + M_C00242_cytop => M_C00144_cytop + M_C00013_cytop,R01229,R01229,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01230_C3_cytop,M_C00014_cytop + M_C00002_cytop + M_C00655_cytop => M_C00020_cytop + M_C00144_cytop + M_C00013_cytop,R01230,R01230,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01231_C3_cytop,M_C00001_cytop + M_C00002_cytop + M_C00064_cytop + M_C00655_cytop => M_C00020_cytop + M_C00144_cytop + M_C00025_cytop + M_C00013_cytop,R01231,R01231,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01251_C3_cytop,M_C00080_cytop + M_C03912_cytop + M_C00005_cytop => M_C00148_cytop + M_C00006_cytop,R01251,R01251,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01286_C3_cytop,M_C02291_cytop + M_C00001_cytop => M_C00155_cytop + M_C00014_cytop + M_C00022_cytop,R01286,R01286,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01373_C3_cytop,M_C00254_cytop => M_C00001_cytop + M_C00166_cytop + M_C00011_cytop,R01373,R01373,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01397_C3_cytop,M_C00049_cytop + M_C00169_cytop => M_C00438_cytop + M_C00009_cytop,R01397,R01397,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01401_C3_cytop,M_C00001_cytop + M_C00170_cytop => M_C03089_cytop + M_C00147_cytop,R01401,R01401,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01416_C3_cytop,M_C00001_cytop + M_C00179_cytop => M_C00436_cytop + M_C00014_cytop,R01416,R01416,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01466_C3_cytop,M_C00001_cytop + M_C01102_cytop => M_C00009_cytop + M_C00188_cytop,R01466,R01466,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01512_C3_cytop,M_C00236_cytop + M_C00008_cytop <=> M_C00002_cytop + M_C00197_cytop,R01512,R01512,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01515_C3_cytop,M_C00001_cytop + M_C00236_cytop => M_C00009_cytop + M_C00197_cytop,R01515,R01515,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01518_C3_cytop,M_C00631_cytop <=> M_C00197_cytop,R01518,R01518,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01524_C3_cytop,M_C00004_cytop + M_C00199_cytop + M_C00080_cytop => M_C01068_cytop + M_C00003_cytop,R01524,R01524,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01525_C3_cytop,M_C00199_cytop + M_C00080_cytop + M_C00005_cytop => M_C00006_cytop + M_C01068_cytop,R01525,R01525,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01528_C3_cytop,M_C00006_cytop + M_C00345_cytop => M_C00199_cytop + M_C00080_cytop + M_C00005_cytop + M_C00011_cytop,R01528,R01528,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01529_C3_cytop,M_C00199_cytop <=> M_C00231_cytop,R01529,R01529,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01547_C3_cytop,M_C00360_cytop + M_C00002_cytop <=> M_C00008_cytop + M_C00206_cytop,R01547,R01547,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01561_C3_cytop,M_C00620_cytop + M_C00147_cytop <=> M_C00212_cytop + M_C00009_cytop,R01561,R01561,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01600_C3_cytop,M_C00002_cytop + M_C00221_cytop => M_C01172_cytop + M_C00008_cytop,R01600,R01600,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01602_C3_cytop,M_C00267_cytop <=> M_C00221_cytop,R01602,R01602,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01624_C3_cytop,M_C00024_cytop + M_C00229_cytop => M_C03939_cytop + M_C00010_cytop,R01624,R01624,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01625_C3_cytop,M_C00010_cytop + M_C03688_cytop => M_C00229_cytop + M_C00054_cytop,R01625,R01625,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01626_C3_cytop,M_C00229_cytop + M_C00083_cytop => M_C00010_cytop + M_C01209_cytop,R01626,R01626,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01641_C3_cytop,M_C00231_cytop + M_C00117_cytop <=> M_C00118_cytop + M_C05382_cytop,R01641,R01641,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01652_C3_cytop,M_C04236_cytop => M_C00233_cytop + M_C00011_cytop,R01652,R01652,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01655_C3_cytop,M_C00001_cytop + M_C00445_cytop <=> M_C00080_cytop + M_C00234_cytop,R01655,R01655,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01658_C3_cytop,M_C00235_cytop + M_C00129_cytop => M_C00341_cytop + M_C00013_cytop,R01658,R01658,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01664_C3_cytop,M_C00001_cytop + M_C00239_cytop => M_C00009_cytop + M_C00881_cytop,R01664,R01664,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01665_C3_cytop,M_C00002_cytop + M_C00239_cytop <=> M_C00705_cytop + M_C00008_cytop,R01665,R01665,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01678_C3_cytop,M_C00001_cytop + M_C00243_cytop => M_C00267_cytop + M_C00124_cytop,R01678,R01678,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01706_C3_cytop,M_C00001_cytop + M_C05764_cytop => M_C00229_cytop + M_C00249_cytop,R01706,R01706,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01714_C3_cytop,M_C01269_cytop => M_C00251_cytop + M_C00009_cytop,R01714,R01714,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01715_C3_cytop,M_C00251_cytop => M_C00254_cytop,R01715,R01715,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01716_C3_cytop,M_C00251_cytop + M_C00064_cytop => M_C11355_cytop + M_C00025_cytop,R01716,R01716,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01724_C3_cytop,M_C00119_cytop + M_C00253_cytop + M_C00080_cytop => M_C01185_cytop + M_C00013_cytop,R01724,R01724,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01728_C3_cytop,M_C00254_cytop + M_C00003_cytop => M_C00004_cytop + M_C00080_cytop + M_C01179_cytop + M_C00011_cytop,R01728,R01728,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01771_C3_cytop,M_C00263_cytop + M_C00002_cytop => M_C01102_cytop + M_C00008_cytop,R01771,R01771,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01773_C3_cytop,M_C00004_cytop + M_C00080_cytop + M_C00441_cytop => M_C00263_cytop + M_C00003_cytop,R01773,R01773,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01775_C3_cytop,M_C00080_cytop + M_C00441_cytop + M_C00005_cytop => M_C00263_cytop + M_C00006_cytop,R01775,R01775,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01777_C3_cytop,M_C00263_cytop + M_C00091_cytop => M_C00010_cytop + M_C01118_cytop,R01777,R01777,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01786_C3_cytop,M_C00267_cytop + M_C00002_cytop => M_C00668_cytop + M_C00008_cytop,R01786,R01786,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01799_C3_cytop,M_C00063_cytop + M_C00416_cytop => M_C00269_cytop + M_C00013_cytop,R01799,R01799,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01801_C3_cytop,M_C00269_cytop + M_C00093_cytop => M_C00055_cytop + M_C03892_cytop,R01801,R01801,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01819_C3_cytop,M_C00275_cytop <=> M_C05345_cytop,R01819,R01819,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01826_C3_cytop,M_C00279_cytop + M_C00001_cytop + M_C00074_cytop => M_C04691_cytop + M_C00009_cytop,R01826,R01826,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01827_C3_cytop,M_C00118_cytop + M_C05382_cytop <=> M_C00279_cytop + M_C05345_cytop,R01827,R01827,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01830_C3_cytop,M_C00118_cytop + M_C05345_cytop <=> M_C00279_cytop + M_C00231_cytop,R01830,R01830,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01855_C3_cytop,M_C00001_cytop + M_C00286_cytop => M_C00362_cytop + M_C00013_cytop,R01855,R01855,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01863_C3_cytop,M_C00009_cytop + M_C00294_cytop <=> M_C00620_cytop + M_C00262_cytop,R01863,R01863,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01867_C3_cytop,M_C00337_cytop + M_C00122_cytop => M_C00295_cytop + M_C00042_cytop,R01867,R01867,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01869_C3_cytop,M_C00004_cytop + M_C00295_cytop + M_C00080_cytop => M_C00337_cytop + M_C00003_cytop,R01869,R01869,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01870_C3_cytop,M_C00119_cytop + M_C00295_cytop => M_C01103_cytop + M_C00013_cytop,R01870,R01870,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01876_C3_cytop,M_C00299_cytop + M_C00009_cytop <=> M_C00106_cytop + M_C00620_cytop,R01876,R01876,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01878_C3_cytop,M_C00001_cytop + M_C00475_cytop => M_C00014_cytop + M_C00299_cytop,R01878,R01878,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01880_C3_cytop,M_C00299_cytop + M_C00286_cytop => M_C00361_cytop + M_C00105_cytop,R01880,R01880,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01920_C3_cytop,M_C01137_cytop + M_C00134_cytop => M_C00080_cytop + M_C00170_cytop + M_C00315_cytop,R01920,R01920,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01954_C3_cytop,M_C00327_cytop + M_C00049_cytop + M_C00002_cytop => M_C00020_cytop + M_C03406_cytop + M_C00013_cytop,R01954,R01954,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01978_C3_cytop,M_C00001_cytop + M_C00024_cytop + M_C00332_cytop => M_C00356_cytop + M_C00010_cytop,R01978,R01978,1,,none,0,False,True,,0, +BIOMD0000001090,R_R01993_C3_cytop,M_C00438_cytop => M_C00001_cytop + M_C00337_cytop,R01993,R01993,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02003_C3_cytop,M_C00341_cytop + M_C00129_cytop => M_C00448_cytop + M_C00013_cytop,R02003,R02003,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02014_C3_cytop,M_C00002_cytop + M_C00342_cytop => M_C00001_cytop + M_C00131_cytop + M_C00343_cytop,R02014,R02014,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02016_C3_cytop,M_C00080_cytop + M_C00005_cytop + M_C00343_cytop => M_C00006_cytop + M_C00342_cytop,R02016,R02016,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02017_C3_cytop,M_C00342_cytop + M_C00008_cytop => M_C00001_cytop + M_C00343_cytop + M_C00206_cytop,R02017,R02017,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02018_C3_cytop,M_C00015_cytop + M_C00342_cytop => M_C00001_cytop + M_C01346_cytop + M_C00343_cytop,R02018,R02018,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02019_C3_cytop,M_C00342_cytop + M_C00035_cytop => M_C00001_cytop + M_C00361_cytop + M_C00343_cytop,R02019,R02019,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02020_C3_cytop,M_C00044_cytop + M_C00342_cytop => M_C00001_cytop + M_C00286_cytop + M_C00343_cytop,R02020,R02020,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02022_C3_cytop,M_C00063_cytop + M_C00342_cytop => M_C00001_cytop + M_C00458_cytop + M_C00343_cytop,R02022,R02022,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02023_C3_cytop,M_C00342_cytop + M_C00075_cytop => M_C00001_cytop + M_C00460_cytop + M_C00343_cytop,R02023,R02023,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02024_C3_cytop,M_C00342_cytop + M_C00112_cytop => M_C00001_cytop + M_C00705_cytop + M_C00343_cytop,R02024,R02024,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02029_C3_cytop,M_C00001_cytop + M_C03892_cytop => M_C00344_cytop + M_C00009_cytop,R02029,R02029,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02030_C3_cytop,M_C00269_cytop + M_C00344_cytop => M_C00055_cytop + M_C05980_cytop,R02030,R02030,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02035_C3_cytop,M_C00001_cytop + M_C01236_cytop => M_C00345_cytop,R02035,R02035,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02059_C3_cytop,M_C00001_cytop + M_C00357_cytop => M_C00352_cytop + M_C00033_cytop,R02059,R02059,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02060_C3_cytop,M_C06156_cytop <=> M_C00352_cytop,R02060,R02060,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02081_C3_cytop,2 M_C00004_cytop + M_C00356_cytop + 2 M_C00080_cytop => M_C00010_cytop + M_C00418_cytop + 2 M_C00003_cytop,R02081,R02081,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02090_C3_cytop,M_C00362_cytop + M_C00002_cytop <=> M_C00361_cytop + M_C00008_cytop,R02090,R02090,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02091_C3_cytop,M_C00475_cytop + M_C00286_cytop => M_C00055_cytop + M_C00361_cytop,R02091,R02091,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02093_C3_cytop,M_C00002_cytop + M_C00363_cytop <=> M_C00008_cytop + M_C00459_cytop,R02093,R02093,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02094_C3_cytop,M_C00002_cytop + M_C00364_cytop <=> M_C00008_cytop + M_C00363_cytop,R02094,R02094,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02096_C3_cytop,M_C00475_cytop + M_C00459_cytop => M_C00055_cytop + M_C00363_cytop,R02096,R02096,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02097_C3_cytop,M_C00299_cytop + M_C00459_cytop => M_C00105_cytop + M_C00363_cytop,R02097,R02097,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02098_C3_cytop,M_C00002_cytop + M_C00365_cytop <=> M_C01346_cytop + M_C00008_cytop,R02098,R02098,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02099_C3_cytop,M_C00526_cytop + M_C00002_cytop => M_C00008_cytop + M_C00365_cytop,R02099,R02099,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02101_C3_cytop,M_C00143_cytop + M_C00365_cytop => M_C00364_cytop + M_C00415_cytop,R02101,R02101,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02102_C3_cytop,M_C00001_cytop + M_C00365_cytop => M_C00526_cytop + M_C00009_cytop,R02102,R02102,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02142_C3_cytop,M_C00013_cytop + M_C00655_cytop => M_C00119_cytop + M_C00385_cytop,R02142,R02142,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02147_C3_cytop,M_C00620_cytop + M_C00242_cytop <=> M_C00009_cytop + M_C00387_cytop,R02147,R02147,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02199_C3_cytop,M_C00671_cytop + M_C00025_cytop => M_C00026_cytop + M_C00407_cytop,R02199,R02199,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02237_C3_cytop,M_C00002_cytop + M_C00921_cytop + M_C00025_cytop => M_C00009_cytop + M_C00415_cytop + M_C00008_cytop,R02237,R02237,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02239_C3_cytop,M_C00001_cytop + M_C00416_cytop => M_C00641_cytop + M_C00009_cytop,R02239,R02239,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02240_C3_cytop,M_C00641_cytop + M_C00002_cytop => M_C00416_cytop + M_C00008_cytop,R02240,R02240,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02245_C3_cytop,M_C00418_cytop + M_C00002_cytop => M_C01107_cytop + M_C00008_cytop,R02245,R02245,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02291_C3_cytop,M_C00080_cytop + M_C03082_cytop + M_C00005_cytop => M_C00006_cytop + M_C00441_cytop + M_C00009_cytop,R02291,R02291,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02294_C3_cytop,M_C03150_cytop + M_C00009_cytop <=> M_C00080_cytop + M_C00620_cytop + M_C00153_cytop,R02294,R02294,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02295_C3_cytop,M_C05841_cytop + M_C00009_cytop <=> M_C00253_cytop + M_C00080_cytop + M_C00620_cytop,R02295,R02295,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02297_C3_cytop,M_C01762_cytop + M_C00009_cytop <=> M_C00620_cytop + M_C00385_cytop,R02297,R02297,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02323_C3_cytop,M_C00001_cytop + M_C00455_cytop + M_C00080_cytop <=> M_C03150_cytop + M_C00009_cytop,R02323,R02323,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02326_C3_cytop,M_C00705_cytop + M_C00002_cytop <=> M_C00458_cytop + M_C00008_cytop,R02326,R02326,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02327_C3_cytop,M_C00458_cytop + M_C00299_cytop => M_C00705_cytop + M_C00105_cytop,R02327,R02327,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02331_C3_cytop,M_C00002_cytop + M_C01346_cytop <=> M_C00008_cytop + M_C00460_cytop,R02331,R02331,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02371_C3_cytop,M_C00475_cytop + M_C00458_cytop => M_C00055_cytop + M_C00705_cytop,R02371,R02371,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02412_C3_cytop,M_C00493_cytop + M_C00002_cytop => M_C03175_cytop + M_C00008_cytop,R02412,R02412,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02413_C3_cytop,M_C02637_cytop + M_C00080_cytop + M_C00005_cytop => M_C00493_cytop + M_C00006_cytop,R02413,R02413,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02484_C3_cytop,M_C00526_cytop + M_C00009_cytop <=> M_C00106_cytop + M_C00672_cytop,R02484,R02484,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02485_C3_cytop,M_C00001_cytop + M_C00881_cytop => M_C00526_cytop + M_C00014_cytop,R02485,R02485,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02569_C3_cytop,M_C15973_cytop + M_C00024_cytop <=> M_C00010_cytop + M_C16255_cytop,R02569,R02569,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02689_C3_cytop,M_C00641_cytop + M_C00029_cytop => M_C04046_cytop + M_C00015_cytop,R02689,R02689,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02703_C3_cytop,M_C00644_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C05345_cytop,R02703,R02703,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02719_C3_cytop,M_C00001_cytop + M_C00655_cytop => M_C01762_cytop + M_C00009_cytop,R02719,R02719,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02722_C3_cytop,M_C03506_cytop + M_C00065_cytop => M_C00001_cytop + M_C00078_cytop + M_C00118_cytop,R02722,R02722,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02733_C3_cytop,M_C00001_cytop + M_C04390_cytop <=> M_C00666_cytop + M_C00033_cytop,R02733,R02733,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02735_C3_cytop,M_C00666_cytop <=> M_C00680_cytop,R02735,R02735,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02736_C3_cytop,M_C00006_cytop + M_C01172_cytop => M_C00080_cytop + M_C01236_cytop + M_C00005_cytop,R02736,R02736,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02739_C3_cytop,M_C00668_cytop <=> M_C01172_cytop,R02739,R02739,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02740_C3_cytop,M_C00668_cytop <=> M_C05345_cytop,R02740,R02740,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02749_C3_cytop,M_C00672_cytop <=> M_C00673_cytop,R02749,R02749,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02783_C3_cytop,M_C00002_cytop + M_C00217_cytop + M_C01212_cytop => M_C00692_cytop + M_C00009_cytop + M_C00008_cytop,R02783,R02783,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02786_C3_cytop,M_C00692_cytop + M_C00002_cytop + M_C00047_cytop => M_C00009_cytop + M_C00008_cytop + M_C05892_cytop,R02786,R02786,1,,none,0,False,True,,0, +BIOMD0000001090,R_R02869_C3_cytop,M_C01137_cytop + M_C00315_cytop <=> M_C00080_cytop + M_C00170_cytop + M_C00750_cytop,R02869,R02869,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03005_C3_cytop,M_C00002_cytop + M_C01185_cytop => M_C00857_cytop + M_C00013_cytop,R03005,R03005,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03018_C3_cytop,M_C00002_cytop + M_C00864_cytop => M_C03492_cytop + M_C00008_cytop,R03018,R03018,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03035_C3_cytop,M_C01134_cytop + M_C00002_cytop <=> M_C00882_cytop + M_C00013_cytop,R03035,R03035,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03066_C3_cytop,M_C01300_cytop + M_C00568_cytop => M_C00001_cytop + M_C00921_cytop,R03066,R03066,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03067_C3_cytop,M_C04807_cytop + M_C00568_cytop => M_C00921_cytop + M_C00013_cytop,R03067,R03067,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03083_C3_cytop,M_C04691_cytop => M_C00944_cytop + M_C00009_cytop,R03083,R03083,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03084_C3_cytop,M_C00944_cytop => M_C00001_cytop + M_C02637_cytop,R03084,R03084,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03191_C3_cytop,M_C01050_cytop + M_C00003_cytop => M_C00004_cytop + M_C00080_cytop + M_C04631_cytop,R03191,R03191,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03192_C3_cytop,M_C00080_cytop + M_C04631_cytop + M_C00005_cytop => M_C01050_cytop + M_C00006_cytop,R03192,R03192,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03193_C3_cytop,M_C01050_cytop + M_C00002_cytop + M_C00041_cytop => M_C00009_cytop + M_C01212_cytop + M_C00008_cytop,R03193,R03193,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03236_C3_cytop,M_C00002_cytop + M_C01097_cytop => M_C00008_cytop + M_C03785_cytop,R03236,R03236,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03240_C3_cytop,M_C01113_cytop => M_C01097_cytop,R03240,R03240,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03245_C3_cytop,M_C01107_cytop + M_C00002_cytop => M_C01143_cytop + M_C00008_cytop,R03245,R03245,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03256_C3_cytop,M_C00001_cytop + M_C05396_cytop => M_C00221_cytop + M_C01113_cytop,R03256,R03256,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03260_C3_cytop,M_C01118_cytop + M_C00097_cytop => M_C02291_cytop + M_C00042_cytop,R03260,R03260,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03269_C3_cytop,M_C04352_cytop => M_C01134_cytop + M_C00011_cytop,R03269,R03269,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03270_C3_cytop,M_C05125_cytop + M_C15972_cytop => M_C00068_cytop + M_C16255_cytop,R03270,R03270,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03313_C3_cytop,M_C00080_cytop + M_C03287_cytop + M_C00005_cytop => M_C01165_cytop + M_C00006_cytop + M_C00009_cytop,R03313,R03313,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03314_C3_cytop,M_C01165_cytop <=> M_C00001_cytop + M_C03912_cytop,R03314,R03314,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03321_C3_cytop,M_C01172_cytop <=> M_C05345_cytop,R03321,R03321,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03346_C3_cytop,M_C00001_cytop + M_C01185_cytop => M_C05841_cytop + M_C00009_cytop,R03346,R03346,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03460_C3_cytop,M_C00074_cytop + M_C03175_cytop => M_C00009_cytop + M_C01269_cytop,R03460,R03460,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03503_C3_cytop,M_C01300_cytop + M_C00002_cytop => M_C00020_cytop + M_C04807_cytop,R03503,R03503,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03504_C3_cytop,M_C04874_cytop => M_C01300_cytop + M_C00266_cytop,R03504,R03504,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03508_C3_cytop,M_C01302_cytop <=> M_C00001_cytop + M_C03506_cytop + M_C00011_cytop,R03508,R03508,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03509_C3_cytop,M_C04302_cytop <=> M_C01302_cytop,R03509,R03509,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03634_C3_cytop,M_C00001_cytop + M_C01613_cytop => M_C00124_cytop + M_C00492_cytop,R03634,R03634,1,,none,0,False,True,,0, +BIOMD0000001090,R_R03921_C3_cytop,M_C00001_cytop + M_C16688_cytop => M_C02336_cytop + M_C00668_cytop,R03921,R03921,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04014_C3_cytop,M_C00001_cytop + M_C05223_cytop => M_C00229_cytop + M_C02679_cytop,R04014,R04014,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04144_C3_cytop,M_C03090_cytop + M_C00002_cytop + M_C00037_cytop => M_C03838_cytop + M_C00009_cytop + M_C00008_cytop,R04144,R04144,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04198_C3_cytop,M_C00004_cytop + M_C20258_cytop + M_C00080_cytop => M_C00001_cytop + M_C03972_cytop + M_C00003_cytop,R04198,R04198,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04199_C3_cytop,M_C20258_cytop + M_C00080_cytop + M_C00005_cytop => M_C00001_cytop + M_C03972_cytop + M_C00006_cytop,R04199,R04199,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04208_C3_cytop,M_C04640_cytop + M_C00002_cytop => M_C03373_cytop + M_C00009_cytop + M_C00008_cytop,R04208,R04208,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04230_C3_cytop,M_C00002_cytop + M_C03492_cytop + M_C00097_cytop => M_C00020_cytop + M_C04352_cytop + M_C00013_cytop,R04230,R04230,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04231_C3_cytop,M_C03492_cytop + M_C00063_cytop + M_C00097_cytop => M_C00055_cytop + M_C04352_cytop + M_C00013_cytop,R04231,R04231,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04325_C3_cytop,M_C03838_cytop + M_C00234_cytop => M_C00101_cytop + M_C04376_cytop,R04325,R04325,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04355_C3_cytop,M_C03939_cytop + M_C01209_cytop => M_C00229_cytop + M_C05744_cytop + M_C00011_cytop,R04355,R04355,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04364_C3_cytop,M_C00001_cytop + M_C03972_cytop + M_C00024_cytop => M_C00010_cytop + M_C05539_cytop,R04364,R04364,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04377_C3_cytop,M_C00029_cytop + M_C04046_cytop => M_C06040_cytop + M_C00015_cytop,R04377,R04377,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04426_C3_cytop,M_C04411_cytop + M_C00003_cytop => M_C00004_cytop + M_C04236_cytop + M_C00080_cytop,R04426,R04426,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04428_C3_cytop,M_C04618_cytop <=> M_C00001_cytop + M_C04246_cytop,R04428,R04428,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04429_C3_cytop,M_C05745_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C04246_cytop,R04429,R04429,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04440_C3_cytop,M_C04181_cytop + M_C00080_cytop + M_C00005_cytop => M_C00006_cytop + M_C04272_cytop,R04440,R04440,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04441_C3_cytop,M_C04272_cytop => M_C00001_cytop + M_C00141_cytop,R04441,R04441,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04457_C3_cytop,M_C15556_cytop + M_C04732_cytop => 2 M_C00001_cytop + M_C04332_cytop + M_C00009_cytop,R04457,R04457,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04463_C3_cytop,M_C00001_cytop + M_C04376_cytop + M_C00002_cytop + M_C00064_cytop => M_C04640_cytop + M_C00009_cytop + M_C00008_cytop + M_C00025_cytop,R04463,R04463,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04467_C3_cytop,M_C05539_cytop + M_C00025_cytop => M_C00026_cytop + M_C04390_cytop,R04467,R04467,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04533_C3_cytop,M_C00006_cytop + M_C04618_cytop <=> M_C00080_cytop + M_C05744_cytop + M_C00005_cytop,R04533,R04533,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04534_C3_cytop,M_C00006_cytop + M_C04619_cytop <=> M_C00080_cytop + M_C00005_cytop + M_C05753_cytop,R04534,R04534,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04535_C3_cytop,M_C04619_cytop <=> M_C00001_cytop + M_C05754_cytop,R04535,R04535,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04536_C3_cytop,M_C04620_cytop + M_C00006_cytop <=> M_C05750_cytop + M_C00080_cytop + M_C00005_cytop,R04536,R04536,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04537_C3_cytop,M_C04620_cytop <=> M_C00001_cytop + M_C05751_cytop,R04537,R04537,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04543_C3_cytop,M_C04633_cytop + M_C00006_cytop <=> M_C05762_cytop + M_C00080_cytop + M_C00005_cytop,R04543,R04543,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04544_C3_cytop,M_C04633_cytop <=> M_C00001_cytop + M_C05763_cytop,R04544,R04544,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04559_C3_cytop,M_C04823_cytop <=> M_C00122_cytop + M_C04677_cytop,R04559,R04559,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04560_C3_cytop,M_C00234_cytop + M_C04677_cytop => M_C00101_cytop + M_C04734_cytop,R04560,R04560,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04566_C3_cytop,M_C00006_cytop + M_C04688_cytop <=> M_C00080_cytop + M_C05759_cytop + M_C00005_cytop,R04566,R04566,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04568_C3_cytop,M_C04688_cytop <=> M_C00001_cytop + M_C05760_cytop,R04568,R04568,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04573_C3_cytop,M_C00002_cytop + M_C00993_cytop + M_C05892_cytop => M_C00009_cytop + M_C00008_cytop + M_C04702_cytop,R04573,R04573,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04591_C3_cytop,M_C00049_cytop + M_C04751_cytop + M_C00002_cytop <=> M_C00009_cytop + M_C00008_cytop + M_C04823_cytop,R04591,R04591,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04620_C3_cytop,3 M_C00001_cytop + M_C04895_cytop => M_C04874_cytop + 3 M_C00009_cytop,R04620,R04620,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04639_C3_cytop,M_C00001_cytop + M_C04895_cytop <=> M_C06148_cytop,R04639,R04639,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04724_C3_cytop,M_C05223_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C05758_cytop,R04724,R04724,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04726_C3_cytop,M_C05223_cytop + M_C01209_cytop => M_C05759_cytop + M_C00229_cytop + M_C00011_cytop,R04726,R04726,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04779_C3_cytop,M_C05345_cytop + M_C00002_cytop => M_C00008_cytop + M_C05378_cytop,R04779,R04779,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04952_C3_cytop,M_C01209_cytop + M_C05745_cytop => M_C05746_cytop + M_C00229_cytop + M_C00011_cytop,R04952,R04952,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04953_C3_cytop,M_C00006_cytop + M_C05747_cytop <=> M_C05746_cytop + M_C00080_cytop + M_C00005_cytop,R04953,R04953,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04954_C3_cytop,M_C05747_cytop <=> M_C00001_cytop + M_C05748_cytop,R04954,R04954,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04955_C3_cytop,M_C05749_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C05748_cytop,R04955,R04955,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04957_C3_cytop,M_C05749_cytop + M_C01209_cytop => M_C05750_cytop + M_C00229_cytop + M_C00011_cytop,R04957,R04957,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04958_C3_cytop,M_C05752_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C05751_cytop,R04958,R04958,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04960_C3_cytop,M_C05752_cytop + M_C01209_cytop => M_C00229_cytop + M_C00011_cytop + M_C05753_cytop,R04960,R04960,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04961_C3_cytop,M_C05755_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C05754_cytop,R04961,R04961,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04963_C3_cytop,M_C01209_cytop + M_C05755_cytop => M_C00229_cytop + M_C05756_cytop + M_C00011_cytop,R04963,R04963,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04964_C3_cytop,M_C00006_cytop + M_C05757_cytop <=> M_C00080_cytop + M_C05756_cytop + M_C00005_cytop,R04964,R04964,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04965_C3_cytop,M_C05757_cytop <=> M_C00001_cytop + M_C05758_cytop,R04965,R04965,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04966_C3_cytop,M_C05761_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C05760_cytop,R04966,R04966,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04968_C3_cytop,M_C05761_cytop + M_C01209_cytop => M_C05762_cytop + M_C00229_cytop + M_C00011_cytop,R04968,R04968,1,,none,0,False,True,,0, +BIOMD0000001090,R_R04969_C3_cytop,M_C05764_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C05763_cytop,R04969,R04969,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05046_C3_cytop,M_C00001_cytop + M_C05922_cytop => M_C00058_cytop + M_C05923_cytop,R05046,R05046,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05048_C3_cytop,M_C05923_cytop => M_C06148_cytop,R05048,R05048,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05068_C3_cytop,M_C00006_cytop + M_C06007_cytop <=> M_C00080_cytop + M_C00005_cytop + M_C14463_cytop,R05068,R05068,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05069_C3_cytop,M_C06006_cytop <=> M_C14463_cytop,R05069,R05069,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05070_C3_cytop,M_C06007_cytop => M_C00001_cytop + M_C00671_cytop,R05070,R05070,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05071_C3_cytop,M_C06010_cytop => M_C04181_cytop,R05071,R05071,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05332_C3_cytop,M_C00024_cytop + M_C06156_cytop => M_C00010_cytop + M_C04501_cytop,R05332,R05332,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05553_C3_cytop,M_C11355_cytop => M_C00022_cytop + M_C00568_cytop,R05553,R05553,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05627_C3_cytop,M_C00001_cytop + M_C04574_cytop => M_C00009_cytop + M_C17556_cytop,R05627,R05627,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05629_C3_cytop,M_C17556_cytop + M_C04702_cytop <=> M_C04851_cytop + M_C00105_cytop,R05629,R05629,1,,none,0,False,True,,0, +BIOMD0000001090,R_R05662_C3_cytop,M_C04851_cytop + M_C00043_cytop <=> M_C05893_cytop + M_C00015_cytop,R05662,R05662,1,,none,0,False,True,,0, +BIOMD0000001090,R_R06178_C3_cytop,2 M_C05893_cytop => M_C11826_cytop + M_C04574_cytop,R06178,R06178,1,,none,0,False,True,,0, +BIOMD0000001090,R_R06447_C3_cytop,M_C00448_cytop + 8 M_C00129_cytop => M_C04574_cytop + 8 M_C00013_cytop,R06447,R06447,1,,none,0,False,True,,0, +BIOMD0000001090,R_R06861_C3_cytop,M_C00231_cytop + M_C00068_cytop => M_C13378_cytop + M_C00080_cytop + M_C00118_cytop,R06861,R06861,1,,none,0,False,True,,0, +BIOMD0000001090,R_R06863_C3_cytop,M_C00068_cytop + M_C05382_cytop <=> M_C13378_cytop + M_C00080_cytop + M_C00117_cytop,R06863,R06863,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07168_C3_cytop,M_C00004_cytop + M_C00080_cytop + M_C00143_cytop => M_C00440_cytop + M_C00003_cytop,R07168,R07168,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07281_C3_cytop,M_C00199_cytop => M_C00058_cytop + M_C15556_cytop,R07281,R07281,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07390_C3_cytop,2 M_C00344_cytop => M_C00116_cytop + M_C05980_cytop,R07390,R07390,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07404_C3_cytop,M_C00080_cytop + M_C03373_cytop + M_C00002_cytop + M_C00288_cytop => M_C15667_cytop + M_C00009_cytop + M_C00008_cytop,R07404,R07404,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07405_C3_cytop,M_C15667_cytop => M_C04751_cytop,R07405,R07405,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07456_C3_cytop,M_C00199_cytop + M_C00118_cytop + M_C00064_cytop => 3 M_C00001_cytop + M_C00009_cytop + M_C00018_cytop + M_C00025_cytop,R07456,R07456,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07618_C3_cytop,M_C15973_cytop + M_C00003_cytop <=> M_C00004_cytop + M_C00080_cytop + M_C15972_cytop,R07618,R07618,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07762_C3_cytop,M_C05764_cytop + M_C01209_cytop => M_C00229_cytop + M_C00011_cytop + M_C16219_cytop,R07762,R07762,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07763_C3_cytop,M_C00080_cytop + M_C00005_cytop + M_C16219_cytop <=> M_C00006_cytop + M_C16220_cytop,R07763,R07763,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07764_C3_cytop,M_C16220_cytop <=> M_C00001_cytop + M_C16221_cytop,R07764,R07764,1,,none,0,False,True,,0, +BIOMD0000001090,R_R07765_C3_cytop,M_C00004_cytop + M_C16221_cytop + M_C00080_cytop <=> M_C04088_cytop + M_C00003_cytop,R07765,R07765,1,,none,0,False,True,,0, +BIOMD0000001090,R_R08159_C3_cytop,M_C00001_cytop + M_C05761_cytop => M_C00229_cytop + M_C06424_cytop,R08159,R08159,1,,none,0,False,True,,0, +BIOMD0000001090,R_R08549_C3_cytop,M_C00026_cytop + M_C00010_cytop + M_C00003_cytop => M_C00004_cytop + M_C00080_cytop + M_C00091_cytop + M_C00011_cytop,R08549,R08549,1,,none,0,False,True,,0, +BIOMD0000001090,R_R08639_C3_cytop,M_C00103_cytop <=> M_C00668_cytop,R08639,R08639,1,,none,0,False,True,,0, +BIOMD0000001090,R_R08648_C3_cytop,M_C00022_cytop + M_C00109_cytop => M_C06006_cytop + M_C00011_cytop,R08648,R08648,1,,none,0,False,True,,0, +BIOMD0000001090,R_R08698_C3_cytop,M_C00001_cytop + M_C02218_cytop <=> M_C00014_cytop + M_C00022_cytop,R08698,R08698,1,,none,0,False,True,,0, +BIOMD0000001090,R_R09380_C3_cytop,M_C00173_cytop + M_C00093_cytop => M_C00229_cytop + M_C00681_cytop,R09380,R09380,1,,none,0,False,True,,0, +BIOMD0000001090,R_R09381_C3_cytop,M_C00173_cytop + M_C00681_cytop => M_C00229_cytop + M_C00416_cytop,R09381,R09381,1,,none,0,False,True,,0, +BIOMD0000001090,R_R10092_C3_cytop,M_C00080_cytop + M_C00288_cytop <=> M_C00001_cytop + M_C00011_cytop,R10092,R10092,1,,none,0,False,True,,0, +BIOMD0000001090,R_R10147_C3_cytop,M_C00022_cytop + M_C00441_cytop => M_C00001_cytop + M_C20258_cytop,R10147,R10147,1,,none,0,False,True,,0, +BIOMD0000001091,R_2DOXG6PP,M_2doxg6p_c + M_h2o_c <=> M_2dglc_c + M_h_c + M_pi_c,R02587,R02587,1,,none,0,False,True,,0, +BIOMD0000001091,R_2HBO,M_2hb_c + M_nad_c <=> M_2obut_c + M_h_c + M_nadh_c,R01000,R01000,1,,none,0,False,True,,0, +BIOMD0000001091,R_3HBUTDH,M_bhb_c + M_nad_c <=> M_acac_c + M_h_c + M_nadh_c,R01361,R01361,1,,none,0,False,True,,0, +BIOMD0000001091,R_3OAR100,M_3hdecACP_c + M_nadp_c <=> M_3odecACP_c + M_h_c + M_nadph_c,R04534,R04534,1,,none,0,False,True,,0, +BIOMD0000001091,R_3OAR120,M_3hddecACP_c + M_nadp_c <=> M_3oddecACP_c + M_nadph_c,R04964,R04964,1,,none,0,False,True,,0, +BIOMD0000001091,R_3OAR80,M_3hoctACP_c + M_nadp_c <=> M_3ooctACP_c + M_h_c + M_nadph_c,R04536,R04536,1,,none,0,False,True,,0, +BIOMD0000001091,R_4AHD2,M_cpd03897_c0 <=> M_dhbpt_c + M_h2o_c,R04734,R04734,1,,none,0,False,True,,0, +BIOMD0000001091,R_4OT,M_2hmc_c => M_oxalc_c,R03966,R03966,1,,none,0,False,True,,0, +BIOMD0000001091,R_5CMHMISO,M_5cmhm_c <=> M_5cohe_c,R04379,R04379,1,,none,0,False,True,,0, +BIOMD0000001091,R_5DGLCNR,M_glcn__D_c + M_nadp_c <=> M_5dglcn_c + M_h_c + M_nadph_c,R01740,R01740,1,,none,0,False,True,,0, +BIOMD0000001091,R_AAH1_1,M_adn_c + M_h2o_c + M_h_c => M_ins_c + M_nh4_c,R01560,R01560,1,,none,0,False,True,,0, +BIOMD0000001091,R_AAH1_2,M_dad_2_c + M_h2o_c + M_h_c => M_din_c + M_nh4_c,R02556,R02556,1,,none,0,False,True,,0, +BIOMD0000001091,R_AAH1_3,M_ade_c + M_h2o_c + M_h_c => M_hxan_c + M_nh4_c,R01244,R01244,1,,none,0,False,True,,0, +BIOMD0000001091,R_ABTAr,M_4abut_c + M_akg_c <=> M_glu__L_c + M_sucsal_c,R01648,R01648,1,,none,0,False,True,,0, +BIOMD0000001091,R_ABUTDm,M_4abutn_c + M_h2o_c + M_nad_c => M_4abut_c + 2 M_h_c + M_nadh_c,R02549,R02549,1,,none,0,False,True,,0, +BIOMD0000001091,R_ABZ1,M_chor_c + M_gln__L_c <=> M_4adcho_c + M_glu__L_c,R01716,R01716,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACAC,M_acac_c + M_atp_c + M_coa_c => M_aacoa_c + M_amp_c + M_h_c + M_ppi_c,R01357,R01357,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACACT10rr,M_accoa_c + M_ppcoa_c <=> M_2maacoa_c + M_coa_c,R00927,R00927,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACACT6r,M_accoa_c + M_ddcacoa_c <=> M_3otdcoa_c + M_coa_c,R03858,R03858,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACALD,M_acald_c + M_coa_c + M_nad_c <=> M_accoa_c + M_h_c + M_nadh_c,R00228,R00228,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACBIPGT,M_adocbip_c + M_gtp_c <=> M_agdpcbi_c + M_h_c + M_ppi_c,R05222,R05222,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACC1,M_accoa_c + M_atp_c + M_hco3_c <=> M_adp_c + M_h_c + M_malcoa_c + M_pi_c,R00742,R00742,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACCOAL2r,M_atp_c + M_coa_c + M_ppa_c <=> M_adp_c + M_pi_c + M_ppcoa_c,R00920,R00920,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACGAMPM,M_acgam6p_c <=> M_acgam1p_c,R08193,R08193,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACGAMT,M_uacgam_c + M_udcpp_c <=> M_ump_c + M_unaga_c,R08856,R08856,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACGK,M_acglu_c + M_atp_c <=> M_acg5p_c + M_adp_c,R02649,R02649,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACGSm,M_accoa_c + M_glu__L_c => M_acglu_c + M_coa_c + M_h_c,R00259,R00259,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACHBS,M_2obut_c + M_h_c + M_pyr_c <=> M_2ahbut_c + M_co2_c,R08648,R08648,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACKr,M_ac_c + M_atp_c <=> M_actp_c + M_adp_c,R00315,R00315,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACNPLYSr,M_acnam_c + M_pi_c <=> M_acmana_c + M_h2o_c + M_pep_c,R01804,R01804,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACO1,M_cit_c <=> M_icit_c,R01324,R01324,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACOAD1,M_btcoa_c + M_nad_c <=> M_b2coa_c + M_h_c + M_nadh_c,R01171,R01171,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACOAD1f,M_btcoa_c + M_fad_c + M_h_c <=> M_b2coa_c + M_fadh2_c,R01175,R01175,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACONTa,M_cit_c <=> M_acon_C_c + M_h2o_c,R01325,R01325,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACONTb,M_icit_c <=> M_acon_C_c + M_h2o_c,R01900,R01900,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACOTAim,M_acorn_c + M_akg_c <=> M_acg5sa_c + M_glu__L_c,R02283,R02283,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACSm,M_ac_c + M_atp_c + M_coa_c <=> M_accoa_c + M_amp_c + M_h_c + M_ppi_c,R00235,R00235,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACYP,M_13dpg_c + M_h2o_c => M_3pg_c + M_h_c + M_pi_c,R01515,R01515,1,,none,0,False,True,,0, +BIOMD0000001091,R_ACYP_2,M_actp_c + M_h2o_c => M_ac_c + M_h_c + M_pi_c,R00317,R00317,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADCL,M_4adcho_c => M_4abz_c + M_h_c + M_pyr_c,R05553,R05553,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADCOBAPS,M_adcobhex_c + M_applp_c + M_atp_c <=> M_adocbip_c + M_adp_c + M_h_c + M_pi_c,R06529,R06529,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADCOBASrADCOBASr,M_adcobhex_c + M_appl_c <=> M_adocbi_c + M_h2o_c,R05226,R05226,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADCYRS,M_adcobdam_c + 4 M_atp_c + 4 M_gln__L_c + 4 M_h2o_c <=> M_adcobhex_c + 4 M_adp_c + 4 M_glu__L_c + 4 M_h_c + 4 M_pi_c,R05225,R05225,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADE12,M_asp__L_c + M_gtp_c + M_imp_c => M_dcamp_c + M_gdp_c + 2 M_h_c + M_pi_c,R01135,R01135,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADE13_1,M_25aics_c <=> M_aicar_c + M_fum_c + M_h_c,R04559,R04559,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADE13_2,M_dcamp_c <=> M_amp_c + M_fum_c,R01083,R01083,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADE16_1,M_10fthf_c + M_aicar_c <=> M_fprica_c + M_thf_c,R04560,R04560,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADE2,M_5aizc_c + M_h_c => M_air_c + M_co2_c,R04209,R04209,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADE3_1,M_mlthf_c + M_nadp_c <=> M_methf_c + M_nadph_c,R01220,R01220,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADE3_3,M_h2o_c + M_methf_c <=> M_10fthf_c + M_h_c,R01655,R01655,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADE5_7_1,M_atp_c + M_gly_c + M_pram_c => M_adp_c + M_gar_c + M_h_c + M_pi_c,R04144,R04144,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADK1,M_amp_c + M_atp_c + M_h_c <=> 2 M_adp_c,R00127,R00127,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADOCBIK,M_adocbi_c + M_atp_c <=> M_adocbip_c + M_adp_c + M_h_c,R05221,R05221,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADOCBLS,M_agdpcbi_c + M_rdmbzi_c <=> M_adocbl_c + M_gmp_c + M_h_c,R05223,R05223,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADPDA,M_h2o_c + M_n6all26d_c <=> M_26dap_LL_c + M_ac_c,R02733,R02733,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADPRDP,M_adprib_c + M_h2o_c => M_amp_c + 2 M_h_c + M_r5p_c,R01054,R01054,1,,none,0,False,True,,0, +BIOMD0000001091,R_ADPT,M_amp_c + M_h_c + M_ppi_c <=> M_ade_c + M_prpp_c,R00190,R00190,1,,none,0,False,True,,0, +BIOMD0000001091,R_AGDC_r,M_acgam6p_c + M_h2o_c <=> M_ac_c + M_gam6p_c,R02059,R02059,1,,none,0,False,True,,0, +BIOMD0000001091,R_AGMT,M_agm_c + M_h2o_c => M_ptrc_c + M_urea_c,R01157,R01157,1,,none,0,False,True,,0, +BIOMD0000001091,R_AGPR,M_acg5sa_c + M_nadp_c + M_pi_c <=> M_acg5p_c + M_h_c + M_nadph_c,R03443,R03443,1,,none,0,False,True,,0, +BIOMD0000001091,R_AHCYSNS,M_ahcys_c + M_h2o_c <=> M_ade_c + M_rhcys_c,R00194,R00194,1,,none,0,False,True,,0, +BIOMD0000001091,R_AHSERL4,M_acser_c + M_trdrd_c + M_tsul_c => M_ac_c + M_cys__L_c + M_h_c + M_so3_c + M_trdox_c,R04859,R04859,1,,none,0,False,True,,0, +BIOMD0000001091,R_AKGDH,M_akg_c + M_coa_c + M_nad_c <=> M_co2_c + M_nadh_c + M_succoa_c,R08549,R08549,1,,none,0,False,True,,0, +BIOMD0000001091,R_AKGDb,M_dhlam_c + M_succoa_c <=> M_coa_c + M_sdhlam_c,R02570,R02570,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALAALA,2 M_ala__D_c + M_atp_c => M_adp_c + M_diala__L_c + M_h_c + M_pi_c,R01150,R01150,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALARi,M_ala__L_c <=> M_ala__D_c,R00401,R00401,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALATA_D,M_akg_c + M_ala__D_c <=> M_glu__D_c + M_pyr_c,R01148,R01148,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALCD19,M_glyc_c + M_nad_c <=> M_glyald_c + M_h_c + M_nadh_c,R01036,R01036,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALCD2x,M_etoh_c + M_nad_c <=> M_acald_c + M_h_c + M_nadh_c,R00754,R00754,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALD2,M_acald_c + M_h2o_c + M_nad_c => M_ac_c + 2 M_h_c + M_nadh_c,R00710,R00710,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALDD19x,M_h2o_c + M_nad_c + M_pacald_c <=> M_h_c + M_nadh_c + M_pac_c,R02536,R02536,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALDD20x,M_h2o_c + M_im4act_c + M_nad_c => 2 M_h_c + M_im4ac_c + M_nadh_c,R04065,R04065,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALDD22x,M_ala_B_c + 2 M_h_c + M_nadh_c <=> M_aproa_c + M_h2o_c + M_nad_c,R00904,R00904,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALDD8x,M_glyald_c + M_h2o_c + M_nad_c => M_glyc__R_c + 2 M_h_c + M_nadh_c,R01752,R01752,1,,none,0,False,True,,0, +BIOMD0000001091,R_ALKP,M_dhap_c + M_h2o_c => M_dha_c + M_pi_c,R01010,R01010,1,,none,0,False,True,,0, +BIOMD0000001091,R_AMANAPE,M_acgam6p_c <=> M_acmanap_c,R02087,R02087,1,,none,0,False,True,,0, +BIOMD0000001091,R_AMD2_2,M_h2o_c + M_h_c + M_pad_c <=> M_nh4_c + M_pac_c,R02540,R02540,1,,none,0,False,True,,0, +BIOMD0000001091,R_AMD2_3,M_h2o_c + M_iad_c => M_ind3ac_c + M_nh4_c,R03096,R03096,1,,none,0,False,True,,0, +BIOMD0000001091,R_AMID5,M_acryl_c + M_nh4_c <=> M_aa_c + M_h2o_c,R05551,R05551,1,,none,0,False,True,,0, +BIOMD0000001091,R_ANPRT,M_h_c + M_ppi_c + M_pran_c <=> M_anth_c + M_prpp_c,R01073,R01073,1,,none,0,False,True,,0, +BIOMD0000001091,R_ANS,M_chor_c + M_gln__L_c => M_anth_c + M_glu__L_c + M_h_c + M_pyr_c,R00986,R00986,1,,none,0,False,True,,0, +BIOMD0000001091,R_ANS2,M_chor_c + M_nh4_c => M_anth_c + M_h2o_c + M_h_c + M_pyr_c,R00985,R00985,1,,none,0,False,True,,0, +BIOMD0000001091,R_AOXHEXCYCL,M_6a2ohxnt_c => M_1pipdn2c_c + M_h2o_c + M_h_c,R04175,R04175,1,,none,0,False,True,,0, +BIOMD0000001091,R_AOXSir,M_ala__L_c + M_h_c + M_pmcoa_c => M_8aonn_c + M_co2_c + M_coa_c,R03210,R03210,1,,none,0,False,True,,0, +BIOMD0000001091,R_APATi,M_accoa_c + M_h2o_c + M_thdp_c <=> M_coa_c + M_nal2a6o_c,R04364,R04364,1,,none,0,False,True,,0, +BIOMD0000001091,R_APSR,M_aps_c + M_trdrd_c => M_amp_c + M_h_c + M_so3_c + M_trdox_c,R07176,R07176,1,,none,0,False,True,,0, +BIOMD0000001091,R_APTA1i,M_akg_c + M_n6all26d_c <=> M_glu__L_c + M_nal2a6o_c,R04467,R04467,1,,none,0,False,True,,0, +BIOMD0000001091,R_ARABRr,M_abt_c + M_nadp_c <=> M_arab__L_c + M_h_c + M_nadph_c,R01759,R01759,1,,none,0,False,True,,0, +BIOMD0000001091,R_ARAI,M_arab__L_c => M_rbl__L_c,R01761,R01761,1,,none,0,False,True,,0, +BIOMD0000001091,R_ARGDCpp,M_arg__L_c + M_h_c => M_agm_c + M_co2_c,R00566,R00566,1,,none,0,False,True,,0, +BIOMD0000001091,R_ARO1_1,M_2dda7p_c => M_3dhq_c + M_pi_c,R03083,R03083,1,,none,0,False,True,,0, +BIOMD0000001091,R_ARO1_2,M_3dhq_c => M_3dhsk_c + M_h2o_c,R03084,R03084,1,,none,0,False,True,,0, +BIOMD0000001091,R_ARO9_2,M_akg_c + M_tyr__L_c <=> M_34hpp_c + M_glu__L_c,R00734,R00734,1,,none,0,False,True,,0, +BIOMD0000001091,R_ASN2,M_asp__L_c + M_atp_c + M_gln__L_c + M_h2o_c => M_amp_c + M_asn__L_c + M_glu__L_c + 2 M_h_c + M_ppi_c,R00578,R00578,1,,none,0,False,True,,0, +BIOMD0000001091,R_ASP1,M_asn__L_c + M_h2o_c => M_asp__L_c + M_nh4_c,R00485,R00485,1,,none,0,False,True,,0, +BIOMD0000001091,R_ASPCTn,M_asp__L_c + M_cbp_c => M_cbasp_c + M_h_c + M_pi_c,R01397,R01397,1,,none,0,False,True,,0, +BIOMD0000001091,R_ASPKi,M_asp__L_c + M_atp_c <=> M_4pasp_c + M_adp_c,R00480,R00480,1,,none,0,False,True,,0, +BIOMD0000001091,R_ASPO6,M_asp__L_c + M_o2_c => M_h2o2_c + M_h_c + M_iasp_c,R00481,R00481,1,,none,0,False,True,,0, +BIOMD0000001091,R_ASPO7,M_asp__L_c + M_h2o_c + M_o2_c => M_h2o2_c + M_nh4_c + M_oaa_c,R00357,R00357,1,,none,0,False,True,,0, +BIOMD0000001091,R_ASPTAm,M_akg_c + M_asp__L_c <=> M_glu__L_c + M_oaa_c,R00355,R00355,1,,none,0,False,True,,0, +BIOMD0000001091,R_ATPM,M_atp_c + M_h2o_c => M_adp_c + M_h_c + M_pi_c,R00086;R10531,R00086,2,,none,0,False,True,,0, +BIOMD0000001091,R_BAT1_2,M_akg_c + M_ile__L_c <=> M_3mop_c + M_glu__L_c,R02199,R02199,1,,none,0,False,True,,0, +BIOMD0000001091,R_BAT2_2,M_akg_c + M_val__L_c <=> M_3mob_c + M_glu__L_c,R01214,R01214,1,,none,0,False,True,,0, +BIOMD0000001091,R_BENZ,M_cpd01447_c0 + M_h_c <=> M_bzal_c + M_co2_c,R01764,R01764,1,,none,0,False,True,,0, +BIOMD0000001091,R_BETALDHx,M_betald_c + M_h2o_c + M_nad_c => M_glyb_c + 2 M_h_c + M_nadh_c,R02565,R02565,1,,none,0,False,True,,0, +BIOMD0000001091,R_BETALDHy,M_betald_c + M_h2o_c + M_nadp_c => M_glyb_c + 2 M_h_c + M_nadph_c,R02566,R02566,1,,none,0,False,True,,0, +BIOMD0000001091,R_BG_CELLB,M_cellb_c + M_h2o_c => 2 M_glc__D_c,R00306;R06104,R00306,2,,none,0,False,True,,0, +BIOMD0000001091,R_BIO3,M_8aonn_c + M_amet_c <=> M_amob_c + M_dann_c,R03231,R03231,1,,none,0,False,True,,0, +BIOMD0000001091,R_BLACT,M_h2o_c + M_pencil_c <=> M_h_c + M_pencilca_c,R06363,R06363,1,,none,0,False,True,,0, +BIOMD0000001091,R_BTMAT1,M_butACP_c + M_nad_c <=> M_but2eACP_c + 2 M_h_c + M_nadh_c,R04429,R04429,1,,none,0,False,True,,0, +BIOMD0000001091,R_BTNC,M_atp_c + M_btnCCP_c + M_hco3_c <=> M_adp_c + M_cbtnCCP_c + M_h_c + M_pi_c,R04385,R04385,1,,none,0,False,True,,0, +BIOMD0000001091,R_BTNL1,M_atp_c + M_btn_c <=> M_btamp_c + M_ppi_c,R01074,R01074,1,,none,0,False,True,,0, +BIOMD0000001091,R_BUTKr,M_atp_c + M_but_c <=> M_adp_c + M_butpi_c,R01688,R01688,1,,none,0,False,True,,0, +BIOMD0000001091,R_CBIA,2 M_atp_c + M_cobya_c + 2 M_gln__L_c + 2 M_h2o_c <=> 2 M_adp_c + M_co2dam_c + 2 M_glu__L_c + 2 M_h_c + 2 M_pi_c,R05815,R05815,1,,none,0,False,True,,0, +BIOMD0000001091,R_CBIAT,M_atp_c + M_cbi_c + M_h_c <=> M_adocbi_c + M_pppi_c,R07268,R07268,1,,none,0,False,True,,0, +BIOMD0000001091,R_CBPS,2 M_atp_c + M_gln__L_c + M_h2o_c + M_hco3_c => 2 M_adp_c + M_cbp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00575,R00575,1,,none,0,False,True,,0, +BIOMD0000001091,R_CDC21,M_dump_c + M_mlthf_c => M_dhf_c + M_dtmp_c,R02101,R02101,1,,none,0,False,True,,0, +BIOMD0000001091,R_CDD1_1,M_cytd_c + M_h2o_c + M_h_c => M_nh4_c + M_uri_c,R01878,R01878,1,,none,0,False,True,,0, +BIOMD0000001091,R_CDD1_2,M_dcyt_c + M_h2o_c + M_h_c => M_duri_c + M_nh4_c,R02485,R02485,1,,none,0,False,True,,0, +BIOMD0000001091,R_CDPDDGR,M_cpd02638_c0 + M_h2o_c + M_nad_c <=> M_cdp4dh6doglc_c + M_h_c + M_nadh_c,R03391,R03391,1,,none,0,False,True,,0, +BIOMD0000001091,R_CDPGHL,M_cdpglc_c => M_cdp4dh6doglc_c + M_h2o_c,R02426,R02426,1,,none,0,False,True,,0, +BIOMD0000001091,R_CDPGS,M_23dpg_c + M_atp_c <=> M_adp_c + M_cdpg_c + M_h_c + M_pi_c,R03298,R03298,1,,none,0,False,True,,0, +BIOMD0000001091,R_CDPMEK,M_4c2me_c + M_atp_c <=> M_2p4c2me_c + M_adp_c + M_h_c,R05634,R05634,1,,none,0,False,True,,0, +BIOMD0000001091,R_CEM1_6,M_ddcaACP_c + M_malACP_c => M_3omrsACP_c + M_ACP_c + M_co2_c,R04726,R04726,1,,none,0,False,True,,0, +BIOMD0000001091,R_CHA1_1,M_thr__L_c => M_2obut_c + M_nh4_c,R00996,R00996,1,,none,0,False,True,,0, +BIOMD0000001091,R_CHOLD,M_chol_c + M_nad_c <=> M_betald_c + M_h_c + M_nadh_c,R08557,R08557,1,,none,0,False,True,,0, +BIOMD0000001091,R_CHORS,M_3psme_c => M_chor_c + M_pi_c,R01714,R01714,1,,none,0,False,True,,0, +BIOMD0000001091,R_CH_or_M,M_chor_c => M_pphn_c,R01715,R01715,1,,none,0,False,True,,0, +BIOMD0000001091,R_CMCMSAD,M_5cmhmsa_c + M_h2o_c + M_nad_c => M_5cmhm_c + 2 M_h_c + M_nadh_c,R04418,R04418,1,,none,0,False,True,,0, +BIOMD0000001091,R_COALDDH,M_conialdh_c + M_h2o_c + M_nad_c <=> M_fer_c + 2 M_h_c + M_nadh_c,R05700,R05700,1,,none,0,False,True,,0, +BIOMD0000001091,R_COBB,2 M_atp_c + 2 M_gln__L_c + 2 M_h2o_c + M_hgbyr_c <=> 2 M_adp_c + 2 M_glu__L_c + 2 M_h_c + M_hgbam_c + 2 M_pi_c,R05224,R05224,1,,none,0,False,True,,0, +BIOMD0000001091,R_COPREC5AHy,M_copre5_c + M_h2o_c <=> M_acald_c + M_codscl5b_c,R07772,R07772,1,,none,0,False,True,,0, +BIOMD0000001091,R_CPC3MT,M_amet_c + M_copre3_c <=> M_ahcys_c + M_copre4_c,R05809,R05809,1,,none,0,False,True,,0, +BIOMD0000001091,R_CPC4MT,M_amet_c + M_copre4_c <=> M_ahcys_c + M_copre5_c + M_h_c,R05810,R05810,1,,none,0,False,True,,0, +BIOMD0000001091,R_CPC8MM,M_copre8_c + 2 M_h_c <=> M_cobya_c,R05814,R05814,1,,none,0,False,True,,0, +BIOMD0000001091,R_CPPPGO,M_cpppg3_c + 2 M_h_c + M_o2_c <=> 2 M_co2_c + 2 M_h2o_c + M_pppg9_c,R03220,R03220,1,,none,0,False,True,,0, +BIOMD0000001091,R_CPPPGO2,2 M_amet_c + M_cpppg3_c <=> 2 M_co2_c + 2 M_dad_5_c + 2 M_met__L_c + M_pppg9_c,R06895,R06895,1,,none,0,False,True,,0, +BIOMD0000001091,R_CS,M_cit_c + M_coa_c + M_h_c <=> M_accoa_c + M_h2o_c + M_oaa_c,R00351,R00351,1,,none,0,False,True,,0, +BIOMD0000001091,R_CTA1,2 M_h2o2_c => 2 M_h2o_c + M_o2_c,R00009,R00009,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYB2,2 M_ficytC_c + M_lac__L_c <=> 2 M_focytC_c + 2 M_h_c + M_pyr_c,R00196,R00196,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYR1,M_atp_c => M_camp_c + M_h_c + M_ppi_c,R00089,R00089,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYRDAAT,M_atp_c + M_co1dam_c + M_h_c <=> M_adcobdam_c + M_pppi_c,R05220,R05220,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYSS,M_acser_c + M_h2s_c => M_ac_c + M_cys__L_c,R00897,R00897,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYSTGLr,M_cpd00424_c0 + M_h2o_c => M_2obut_c + M_cys__L_c + M_nh4_c,R01001,R01001,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYSTLr,M_cpd00424_c0 + M_h2o_c => M_hcys__L_c + M_nh4_c + M_pyr_c,R01285,R01285,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYSTS,M_hcys__L_c + M_ser__L_c <=> M_cpd00424_c0 + M_h2o_c,R01289,R01289,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYTDK1,M_atp_c + M_cytd_c <=> M_adp_c + M_cmp_c + M_h_c,R00513,R00513,1,,none,0,False,True,,0, +BIOMD0000001091,R_CYTDK3,M_cytd_c + M_itp_c <=> M_cmp_c + M_h_c + M_idp_c,R00962,R00962,1,,none,0,False,True,,0, +BIOMD0000001091,R_DAPDC,M_26dap__M_c + M_h_c => M_co2_c + M_lys__L_c,R00451,R00451,1,,none,0,False,True,,0, +BIOMD0000001091,R_DAPE,M_26dap_LL_c <=> M_26dap__M_c,R02735,R02735,1,,none,0,False,True,,0, +BIOMD0000001091,R_DBTS,M_atp_c + M_co2_c + M_dann_c => M_adp_c + M_dtbt_c + 3 M_h_c + M_pi_c,R03182,R03182,1,,none,0,False,True,,0, +BIOMD0000001091,R_DCMPDA2ir,M_dcmp_c + M_h2o_c + M_h_c => M_dump_c + M_nh4_c,R01663,R01663,1,,none,0,False,True,,0, +BIOMD0000001091,R_DDGLK,M_2ddglcn_c + M_atp_c <=> M_2ddg6p_c + M_adp_c + M_h_c,R01541,R01541,1,,none,0,False,True,,0, +BIOMD0000001091,R_DDPA,M_e4p_c + M_h2o_c + M_pep_c => M_2dda7p_c + M_pi_c,R01826,R01826,1,,none,0,False,True,,0, +BIOMD0000001091,R_DDPGALA,M_2dh3dgal6p_c <=> M_g3p_c + M_pyr_c,R01064,R01064,1,,none,0,False,True,,0, +BIOMD0000001091,R_DEMAT4,M_dcaACP_c + M_nad_c <=> 2 M_h_c + M_nadh_c + M_tdec2eACP_c,R04961,R04961,1,,none,0,False,True,,0, +BIOMD0000001091,R_DFR1_1,M_nadp_c + M_thf_c <=> M_dhf_c + M_h_c + M_nadph_c,R00939,R00939,1,,none,0,False,True,,0, +BIOMD0000001091,R_DGK1,M_atp_c + M_dgmp_c + M_h_c <=> M_adp_c + M_dgdp_c,R02090,R02090,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHAD2,M_23dhmp_c => M_3mop_c + M_h2o_c,R05070,R05070,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHAPT,M_dha_c + M_pep_c <=> M_dhap_c + M_pyr_c,R01012,R01012,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHDPRy,M_nadp_c + M_thdp_c <=> M_23dhdp_c + M_h_c + M_nadph_c,R04199,R04199,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHDPS,M_aspsa_c + M_pyr_c => M_23dhdp_c + 2 M_h2o_c + M_h_c,R02292,R02292,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHFOR2,M_dhf_c + M_nadp_c <=> M_fol_c + M_h_c + M_nadph_c,R02236,R02236,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHNPA,M_dhnpt_c <=> M_6hmhpt_c + M_gcald_c,R03504,R03504,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHPM2,M_56dthm_c + M_h2o_c => M_3uib_c + M_h_c,R03055,R03055,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHPRx,M_dhbpt_c + M_h_c + M_nadh_c <=> M_nad_c + M_thbpt_c,R01793,R01793,1,,none,0,False,True,,0, +BIOMD0000001091,R_DHPSm,M_4abz_c + M_6hmhpt_c <=> M_dhpt_c + M_h2o_c,R03066,R03066,1,,none,0,False,True,,0, +BIOMD0000001091,R_DIHYP,M_56dura_c + M_h2o_c => M_cala_c + M_h_c,R02269,R02269,1,,none,0,False,True,,0, +BIOMD0000001091,R_DKMD2K,M_dhmtp_c + M_o2_c => M_2kmb_c + M_for_c + 2 M_h_c,R07364,R07364,1,,none,0,False,True,,0, +BIOMD0000001091,R_DM1PE,M_hkmpp_c <=> M_2h3k5m_c,R07393,R07393,1,,none,0,False,True,,0, +BIOMD0000001091,R_DMATT,M_dmpp_c + M_ipdp_c => M_grdp_c + M_h_c + M_ppi_c,R01658,R01658,1,,none,0,False,True,,0, +BIOMD0000001091,R_DMPPS,M_h2mb4p_c + M_h_c + M_nadh_c => M_dmpp_c + M_h2o_c + M_nad_c,R08210,R08210,1,,none,0,False,True,,0, +BIOMD0000001091,R_DPCOAKm,M_atp_c + M_dpcoa_c => M_adp_c + M_coa_c + M_h_c,R00130,R00130,1,,none,0,False,True,,0, +BIOMD0000001091,R_DPGM,M_13dpg_c + M_h_c <=> M_23dpg_c,R01662,R01662,1,,none,0,False,True,,0, +BIOMD0000001091,R_DPMVD,M_5dpmev_c + M_atp_c => M_adp_c + M_co2_c + M_ipdp_c + M_pi_c,R01121,R01121,1,,none,0,False,True,,0, +BIOMD0000001091,R_DRBKr,M_2dr5p_c + M_adp_c + M_h_c <=> M_atp_c + M_drib_c,R02750,R02750,1,,none,0,False,True,,0, +BIOMD0000001091,R_DRPA,M_2dr5p_c <=> M_acald_c + M_g3p_c,R01066,R01066,1,,none,0,False,True,,0, +BIOMD0000001091,R_DTMPK,M_atp_c + M_dtmp_c + M_h_c <=> M_adp_c + M_dtdp_c,R02094,R02094,1,,none,0,False,True,,0, +BIOMD0000001091,R_DUR1_2,M_allphn_c + M_h2o_c + 3 M_h_c => 2 M_co2_c + 2 M_nh4_c,R00005,R00005,1,,none,0,False,True,,0, +BIOMD0000001091,R_DURIPP,M_duri_c + M_pi_c <=> M_2dr1p_c + M_ura_c,R02484,R02484,1,,none,0,False,True,,0, +BIOMD0000001091,R_DUT1,M_dutp_c + M_h2o_c => M_dump_c + 2 M_h_c + M_ppi_c,R02100,R02100,1,,none,0,False,True,,0, +BIOMD0000001091,R_DXPRIi,M_2me4p_c + M_nadp_c <=> M_dxyl5p_c + M_h_c + M_nadph_c,R05688,R05688,1,,none,0,False,True,,0, +BIOMD0000001091,R_DXPS,M_g3p_c + M_h_c + M_pyr_c => M_co2_c + M_dxyl5p_c,R05636,R05636,1,,none,0,False,True,,0, +BIOMD0000001091,R_E4PD,M_e4p_c + M_h2o_c + M_nad_c => M_4per_c + 2 M_h_c + M_nadh_c,R01825,R01825,1,,none,0,False,True,,0, +BIOMD0000001091,R_EAR120x,M_ddcaACP_c + M_nad_c <=> 2 M_h_c + M_nadh_c + M_tddec2eACP_c,R04724,R04724,1,,none,0,False,True,,0, +BIOMD0000001091,R_EAR40y,M_butACP_c + M_nadp_c <=> M_but2eACP_c + 2 M_h_c + M_nadph_c,R04430,R04430,1,,none,0,False,True,,0, +BIOMD0000001091,R_EAR60x,M_hexACP_c + M_nad_c <=> M_h_c + M_nadh_c + M_thex2eACP_c,R04955,R04955,1,,none,0,False,True,,0, +BIOMD0000001091,R_EAR80y,M_nadp_c + M_ocACP_c <=> M_h_c + M_nadph_c + M_toct2eACP_c,R04959,R04959,1,,none,0,False,True,,0, +BIOMD0000001091,R_ECOAH1,M_3hbcoa_c <=> M_b2coa_c + M_h2o_c,R03026,R03026,1,,none,0,False,True,,0, +BIOMD0000001091,R_ECOAH12,M_2mp2coa_c + M_h2o_c <=> M_3hibutcoa_c,R04224,R04224,1,,none,0,False,True,,0, +BIOMD0000001091,R_ECOAH3,M_3hocoa_c <=> M_h2o_c + M_oc2coa_c,R04746,R04746,1,,none,0,False,True,,0, +BIOMD0000001091,R_ECOAH4,M_3hdcoa_c <=> M_dc2coa_c + M_h2o_c,R04744,R04744,1,,none,0,False,True,,0, +BIOMD0000001091,R_ECOAH5,M_3hddcoa_c <=> M_dd2coa_c + M_h2o_c,R04170,R04170,1,,none,0,False,True,,0, +BIOMD0000001091,R_ECOAH6p,M_3htdcoa_c <=> M_h2o_c + M_td2coa_c,R04740,R04740,1,,none,0,False,True,,0, +BIOMD0000001091,R_ECOAH7,M_3hhdcoa_c <=> M_h2o_c + M_hdd2coa_c,R04738,R04738,1,,none,0,False,True,,0, +BIOMD0000001091,R_ECOAH9ir,M_3hmbcoa_c <=> M_2mb2coa_c + M_h2o_c,R04204,R04204,1,,none,0,False,True,,0, +BIOMD0000001091,R_ENO,M_2pg_c <=> M_h2o_c + M_pep_c,R00658,R00658,1,,none,0,False,True,,0, +BIOMD0000001091,R_ERG12_1,M_atp_c + M_mev__R_c <=> M_5pmev_c + M_adp_c + M_h_c,R02245,R02245,1,,none,0,False,True,,0, +BIOMD0000001091,R_ETR1_2,M_hexACP_c + M_nadp_c <=> M_h_c + M_nadph_c + M_thex2eACP_c,R04956,R04956,1,,none,0,False,True,,0, +BIOMD0000001091,R_ETR1_5,M_ddcaACP_c + M_nadp_c <=> 2 M_h_c + M_nadph_c + M_tddec2eACP_c,R04725,R04725,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAD1,M_atp_c + M_fmn_c => M_fad_c + M_ppi_c,R00161,R00161,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS1_4_2,M_dcaACP_c + M_nadp_c <=> 2 M_h_c + M_nadph_c + M_tdec2eACP_c,R04962,R04962,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS1_6_2,M_myrsACP_c + M_nadp_c <=> 2 M_h_c + M_nadph_c + M_tmrs2eACP_c,R04967,R04967,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS1_7_2,M_nadp_c + M_palmACP_c <=> M_h_c + M_nadph_c + M_tpalm2eACP_c,R04970,R04970,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS1_7_c,M_coa_c + M_h_c + M_palmACP_c <=> M_ACP_c + M_pmtcoa_c,R10700,R10700,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS1_s,M_ACP_c + M_accoa_c <=> M_acACP_c + M_coa_c,R01624,R01624,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS2_1_1,M_acACP_c + M_malACP_c => M_ACP_c + M_actACP_c + M_co2_c,R04355,R04355,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS2_3_1,M_h_c + M_hexACP_c + M_malACP_c => M_3ooctACP_c + M_ACP_c + M_co2_c,R04957,R04957,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS2_5_1,M_dcaACP_c + M_malACP_c => M_3oddecACP_c + M_ACP_c + M_co2_c,R04963,R04963,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAS2_7_1,M_malACP_c + M_myrsACP_c => M_3opalmACP_c + M_ACP_c + M_co2_c,R04968,R04968,1,,none,0,False,True,,0, +BIOMD0000001091,R_FAT1_1,M_atp_c + M_coa_c + M_hdca_c => M_amp_c + M_h_c + M_pmtcoa_c + M_ppi_c,R01280,R01280,1,,none,0,False,True,,0, +BIOMD0000001091,R_FBA,M_fdp_c <=> M_dhap_c + M_g3p_c,R01068,R01068,1,,none,0,False,True,,0, +BIOMD0000001091,R_FBA2,M_f1p_c <=> M_dhap_c + M_glyald_c,R02568,R02568,1,,none,0,False,True,,0, +BIOMD0000001091,R_FBA3,M_s17bp_c <=> M_dhap_c + M_e4p_c,R01829,R01829,1,,none,0,False,True,,0, +BIOMD0000001091,R_FBP,M_fdp_c + M_h2o_c => M_f6p_c + M_pi_c,R00762,R00762,1,,none,0,False,True,,0, +BIOMD0000001091,R_FBP26,M_f26bp_c + M_h2o_c <=> M_f6p_c + 2 M_h_c + M_pi_c,R00763,R00763,1,,none,0,False,True,,0, +BIOMD0000001091,R_FCLTm,M_fe2_c + M_ppp9_c <=> 2 M_h_c + M_pheme_c,R00310,R00310,1,,none,0,False,True,,0, +BIOMD0000001091,R_FDMO2,M_fmnh2_c + M_mso3_c + M_o2_c => M_fald_c + M_fmn_c + M_h2o_c + M_h_c + M_so3_c,R10206,R10206,1,,none,0,False,True,,0, +BIOMD0000001091,R_FEROpp,4 M_fe2_c + 4 M_h_c + M_o2_c <=> 4 M_fe3_c + 2 M_h2o_c,R00078,R00078,1,,none,0,False,True,,0, +BIOMD0000001091,R_FGLU,M_forglu_c + M_h2o_c <=> M_frmd_c + M_glu__L_c,R02285,R02285,1,,none,0,False,True,,0, +BIOMD0000001091,R_FLVR_NAD,2 M_h_c + M_nadh_c + M_ribflv_c <=> M_nad_c + M_rbflvrd_c,R09750,R09750,1,,none,0,False,True,,0, +BIOMD0000001091,R_FMNRx,M_fmnh2_c + M_nad_c <=> M_fmn_c + 2 M_h_c + M_nadh_c,R05705,R05705,1,,none,0,False,True,,0, +BIOMD0000001091,R_FOL2,M_gtp_c + M_h2o_c => M_ahdt_c + M_for_c + M_h_c,R00424,R00424,1,,none,0,False,True,,0, +BIOMD0000001091,R_FOLDm,M_2ahhmd_c + M_4abz_c => M_dhpt_c + M_h_c + M_ppi_c,R03067,R03067,1,,none,0,False,True,,0, +BIOMD0000001091,R_FRTT,M_frdp_c + M_ipdp_c => M_ggdp_c + M_h_c + M_ppi_c,R02061,R02061,1,,none,0,False,True,,0, +BIOMD0000001091,R_FRUK,M_atp_c + M_f1p_c <=> M_adp_c + M_fdp_c + M_h_c,R02071,R02071,1,,none,0,False,True,,0, +BIOMD0000001091,R_FTHFCLm,M_5fthf_c + M_atp_c => M_adp_c + M_methf_c + M_pi_c,R02301,R02301,1,,none,0,False,True,,0, +BIOMD0000001091,R_FTHFD,M_10fthf_c + M_h2o_c => M_for_c + M_h_c + M_thf_c,R00944,R00944,1,,none,0,False,True,,0, +BIOMD0000001091,R_FUM,M_mal__L_c <=> M_fum_c + M_h2o_c,R01082,R01082,1,,none,0,False,True,,0, +BIOMD0000001091,R_FUN63,M_h2o_c + M_imp_c + M_nad_c <=> M_h_c + M_nadh_c + M_xmp_c,R01130,R01130,1,,none,0,False,True,,0, +BIOMD0000001091,R_FUR1,M_h_c + M_ppi_c + M_ump_c <=> M_prpp_c + M_ura_c,R00966,R00966,1,,none,0,False,True,,0, +BIOMD0000001091,R_G1PACTr,M_accoa_c + M_gam1p_c => M_acgam1p_c + M_coa_c + M_h_c,R05332,R05332,1,,none,0,False,True,,0, +BIOMD0000001091,R_G1SATi,M_5aop_c <=> M_glu1sa_c,R02272,R02272,1,,none,0,False,True,,0, +BIOMD0000001091,R_G3PCT,M_ctp_c + M_glyc3p_c => M_cdpglyc_c + M_ppi_c,R00856,R00856,1,,none,0,False,True,,0, +BIOMD0000001091,R_G3PD1ir,M_glyc3p_c + M_nad_c <=> M_dhap_c + M_h_c + M_nadh_c,R00842,R00842,1,,none,0,False,True,,0, +BIOMD0000001091,R_G3PD2,M_glyc3p_c + M_nadp_c <=> M_dhap_c + M_h_c + M_nadph_c,R00844,R00844,1,,none,0,False,True,,0, +BIOMD0000001091,R_G3PDm,M_fad_c + M_glyc3p_c + M_h_c <=> M_dhap_c + M_fadh2_c,R00848,R00848,1,,none,0,False,True,,0, +BIOMD0000001091,R_G5SADr,M_glu5sa_c => M_1pyr5c_c + M_h2o_c + M_h_c,R03314,R03314,1,,none,0,False,True,,0, +BIOMD0000001091,R_G5SD,M_glu5sa_c + M_nadp_c + M_pi_c <=> M_glu5p_c + M_h_c + M_nadph_c,R03313,R03313,1,,none,0,False,True,,0, +BIOMD0000001091,R_G6PBDH,M_g6p_B_c + M_nadp_c <=> M_6pgl_c + M_h_c + M_nadph_c,R02736,R02736,1,,none,0,False,True,,0, +BIOMD0000001091,R_G6PDH2r,M_g6p_c + M_nadp_c <=> M_6pgl_c + M_h_c + M_nadph_c,R00835,R00835,1,,none,0,False,True,,0, +BIOMD0000001091,R_G6PI3,M_g6p_B_c <=> M_f6p_c,R03321,R03321,1,,none,0,False,True,,0, +BIOMD0000001091,R_GAL1,M_atp_c + M_gal_c <=> M_adp_c + M_gal1p_c + M_h_c,R01092,R01092,1,,none,0,False,True,,0, +BIOMD0000001091,R_GAL10,M_udpg_c <=> M_udpgal_c,R00291,R00291,1,,none,0,False,True,,0, +BIOMD0000001091,R_GALS4,M_h2o_c + M_stys_c => M_gal_c + M_raffin_c,R03634;R06152,R03634,2,,none,0,False,True,,0, +BIOMD0000001091,R_GALTi,M_gal1p_c + M_utp_c <=> M_ppi_c + M_udpgal_c,R00502,R00502,1,,none,0,False,True,,0, +BIOMD0000001091,R_GAPD,M_g3p_c + M_nad_c + M_pi_c <=> M_13dpg_c + M_h_c + M_nadh_c,R01061,R01061,1,,none,0,False,True,,0, +BIOMD0000001091,R_GAPD_NADP,M_g3p_c + M_nadp_c + M_pi_c <=> M_13dpg_c + M_h_c + M_nadph_c,R01063,R01063,1,,none,0,False,True,,0, +BIOMD0000001091,R_GARFT,M_10fthf_c + M_gar_c <=> M_fgam_c + M_h_c + M_thf_c,R04325,R04325,1,,none,0,False,True,,0, +BIOMD0000001091,R_GCALDD,M_gcald_c + M_h2o_c + M_nad_c => M_glyclt_c + 2 M_h_c + M_nadh_c,R01333,R01333,1,,none,0,False,True,,0, +BIOMD0000001091,R_GCCa,M_gly_c + M_h_c + M_lpro_c => M_alpro_c + M_co2_c,R03425,R03425,1,,none,0,False,True,,0, +BIOMD0000001091,R_GCCcm,M_dhlpro_c + M_nad_c <=> M_h_c + M_lpro_c + M_nadh_c,R03815,R03815,1,,none,0,False,True,,0, +BIOMD0000001091,R_GCV1_2,M_gly_c + M_nad_c + M_thf_c <=> M_co2_c + M_mlthf_c + M_nadh_c + M_nh4_c,R01221,R01221,1,,none,0,False,True,,0, +BIOMD0000001091,R_GDH2,M_glu__L_c + M_h2o_c + M_nad_c <=> M_akg_c + M_h_c + M_nadh_c + M_nh4_c,R00243,R00243,1,,none,0,False,True,,0, +BIOMD0000001091,R_GF6PTA,M_f6p_c + M_gln__L_c <=> M_gam6p_c + M_glu__L_c,R00768,R00768,1,,none,0,False,True,,0, +BIOMD0000001091,R_GGLUGABDH,M_ggbutal_c + M_h2o_c + M_nadp_c => M_gg4abut_c + 2 M_h_c + M_nadph_c,R07418,R07418,1,,none,0,False,True,,0, +BIOMD0000001091,R_GGLUGABH,M_gg4abut_c + M_h2o_c <=> M_4abut_c + M_glu__L_c,R07419,R07419,1,,none,0,False,True,,0, +BIOMD0000001091,R_GGTAe2,M_gthrd_c + M_h2o_c <=> M_cgly_c + M_glu__L_c,R00494,R00494,1,,none,0,False,True,,0, +BIOMD0000001091,R_GGTT,M_ggdp_c + M_ipdp_c => M_h_c + M_pendp_c + M_ppi_c,R07475,R07475,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLCURE,M_udpglcur_c <=> M_udpgalur_c,R01385,R01385,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLK1_1,M_atp_c + M_glc__D_c <=> M_adp_c + M_g6p_c + M_h_c,R00299,R00299,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLK1_3,M_atp_c + M_cpd00190_c0 <=> M_adp_c + M_g6p_B_c + M_h_c,R01600,R01600,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLNS,M_atp_c + M_glu__L_c + M_nh4_c => M_adp_c + M_gln__L_c + M_h_c + M_pi_c,R00253,R00253,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLO1,M_lgt__S_c <=> M_gthrd_c + M_mthgxl_c,R02530,R02530,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLU5K,M_atp_c + M_glu__L_c <=> M_adp_c + M_glu5p_c,R00239,R00239,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLUDC,M_glu__L_c + M_h_c => M_4abut_c + M_co2_c,R00261,R00261,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLUDy,M_glu__L_c + M_h2o_c + M_nadp_c <=> M_akg_c + M_h_c + M_nadph_c + M_nh4_c,R00248,R00248,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLUPRT,M_glu__L_c + M_h_c + M_ppi_c + M_pram_c <=> M_gln__L_c + M_h2o_c + M_prpp_c,R01072,R01072,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLUR,M_glu__L_c <=> M_glu__D_c,R00260,R00260,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLUSy,2 M_glu__L_c + M_nadp_c <=> M_akg_c + M_gln__L_c + M_h_c + M_nadph_c,R00114,R00114,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLUTRR,M_glutrna_c + M_h_c + M_nadph_c <=> M_glu1sa_c + M_nadp_c + M_trnaglu_c,R04109,R04109,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLUTRSm,M_atp_c + M_glu__L_c + M_trnaglu_c => M_amp_c + M_glutrna_c + M_h_c + M_ppi_c,R05578,R05578,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLYCK,M_atp_c + M_glyc__R_c <=> M_3pg_c + M_adp_c + M_h_c,R01514,R01514,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLYCK2,M_atp_c + M_glyc__R_c <=> M_2pg_c + M_adp_c + M_h_c,R08572,R08572,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLYCLTDx,M_glyclt_c + M_nad_c <=> M_glx_c + M_h_c + M_nadh_c,R00717,R00717,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLYCLTDyr,M_glyclt_c + M_nadp_c <=> M_glx_c + M_h_c + M_nadph_c,R00465,R00465,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLYCTO1,M_glyclt_c + M_o2_c => M_glx_c + M_h2o2_c,R00475,R00475,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLYK,M_atp_c + M_glyc_c <=> M_adp_c + M_glyc3p_c + M_h_c,R00847,R00847,1,,none,0,False,True,,0, +BIOMD0000001091,R_GLYO1,M_gly_c + M_h2o_c + M_o2_c => M_glx_c + M_h2o2_c + M_nh4_c,R00366,R00366,1,,none,0,False,True,,0, +BIOMD0000001091,R_GND,M_6pgc_c + M_nadp_c => M_co2_c + M_nadph_c + M_ru5p__D_c,R01528,R01528,1,,none,0,False,True,,0, +BIOMD0000001091,R_GNKr,M_atp_c + M_glcn__D_c <=> M_6pgc_c + M_adp_c + M_h_c,R01737,R01737,1,,none,0,False,True,,0, +BIOMD0000001091,R_GPDDA1,M_g3pc_c + M_h2o_c => M_chol_c + M_glyc3p_c + M_h_c,R01030,R01030,1,,none,0,False,True,,0, +BIOMD0000001091,R_GPDDA2pp,M_g3pe_c + M_h2o_c => M_etha_c + M_glyc3p_c + M_h_c,R01470,R01470,1,,none,0,False,True,,0, +BIOMD0000001091,R_GRTT,M_grdp_c + M_ipdp_c => M_frdp_c + M_h_c + M_ppi_c,R02003,R02003,1,,none,0,False,True,,0, +BIOMD0000001091,R_GSH2,M_atp_c + M_glucys_c + M_gly_c => M_adp_c + M_gthrd_c + M_h_c + M_pi_c,R00497,R00497,1,,none,0,False,True,,0, +BIOMD0000001091,R_GSHPO,2 M_gthrd_c + M_h2o2_c => M_gthox_c + 2 M_h2o_c,R00274,R00274,1,,none,0,False,True,,0, +BIOMD0000001091,R_GTPDPK,M_atp_c + M_gtp_c <=> M_amp_c + M_gdptp_c + 2 M_h_c,R00429,R00429,1,,none,0,False,True,,0, +BIOMD0000001091,R_GUADr,M_gua_c + M_h2o_c + M_h_c => M_nh4_c + M_xan_c,R01676,R01676,1,,none,0,False,True,,0, +BIOMD0000001091,R_GUAPRT,M_gmp_c + M_h_c + M_ppi_c <=> M_gua_c + M_prpp_c,R01229,R01229,1,,none,0,False,True,,0, +BIOMD0000001091,R_GUI1,M_glcur_c <=> M_fruur_c,R01482,R01482,1,,none,0,False,True,,0, +BIOMD0000001091,R_GUI2,M_galur_c <=> M_tagur_c,R01983,R01983,1,,none,0,False,True,,0, +BIOMD0000001091,R_GUK1_1,M_atp_c + M_gmp_c + M_h_c <=> M_adp_c + M_gdp_c,R00332,R00332,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACD1,M_3hbcoa_c + M_nad_c <=> M_aacoa_c + M_h_c + M_nadh_c,R01975,R01975,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACD2i,M_3hhcoa_c + M_nad_c <=> M_3ohcoa_c + M_h_c + M_nadh_c,R04748,R04748,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACD3,M_3hocoa_c + M_nad_c <=> M_3oocoa_c + M_h_c + M_nadh_c,R04745,R04745,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACD4,M_3hdcoa_c + M_nad_c <=> M_3odcoa_c + M_h_c + M_nadh_c,R04743,R04743,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACD5,M_3hddcoa_c + M_nad_c <=> M_3oddcoa_c + M_h_c + M_nadh_c,R04741,R04741,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACD6p,M_3htdcoa_c + M_nad_c <=> M_3otdcoa_c + M_h_c + M_nadh_c,R04739,R04739,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACD7p,M_3hhdcoa_c + M_nad_c <=> M_3ohdcoa_c + M_h_c + M_nadh_c,R04737,R04737,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACD8,M_3hmbcoa_c + M_nad_c <=> M_2maacoa_c + M_h_c + M_nadh_c,R04203,R04203,1,,none,0,False,True,,0, +BIOMD0000001091,R_HACDp,M_3hacoa_c + M_nad_c <=> M_3oacoa_c + M_h_c + M_nadh_c,R01778,R01778,1,,none,0,False,True,,0, +BIOMD0000001091,R_HBUR1,M_3hbutACP_c + M_nadp_c <=> M_actACP_c + M_nadph_c,R04533,R04533,1,,none,0,False,True,,0, +BIOMD0000001091,R_HBZOPT,M_4hbz_c + M_octdp_5_c => M_3ophb_c + M_h_c + M_ppi_c,R05615,R05615,1,,none,0,False,True,,0, +BIOMD0000001091,R_HEM2,2 M_5aop_c => 2 M_h2o_c + M_h_c + M_ppbng_c,R00036,R00036,1,,none,0,False,True,,0, +BIOMD0000001091,R_HEM3,M_h2o_c + 4 M_ppbng_c => M_hmbil_c + 4 M_nh4_c,R00084,R00084,1,,none,0,False,True,,0, +BIOMD0000001091,R_HEMEOS,M_frdp_c + M_h2o_c + M_pheme_c <=> M_h_c + M_hemeO_c + M_ppi_c,R07411,R07411,1,,none,0,False,True,,0, +BIOMD0000001091,R_HEPTT,M_h_c + M_octdp_5_c + M_ppi_c <=> M_hepdp_c + M_ipdp_c,R05611,R05611,1,,none,0,False,True,,0, +BIOMD0000001091,R_HETZK,M_4mhetz_c + M_atp_c <=> M_4mpetz_c + M_adp_c + M_h_c,R04448,R04448,1,,none,0,False,True,,0, +BIOMD0000001091,R_HEXTT,M_hexdp_c + M_ipdp_c => M_h_c + M_hepdp_c + M_ppi_c,R05612,R05612,1,,none,0,False,True,,0, +BIOMD0000001091,R_HHDDI,M_2ohed_c <=> M_2hh24dd_c,R04134,R04134,1,,none,0,False,True,,0, +BIOMD0000001091,R_HHDR7,M_3hpalmACP_c + M_nadp_c <=> M_3opalmACP_c + M_nadph_c,R04543,R04543,1,,none,0,False,True,,0, +BIOMD0000001091,R_HHYR2,M_3hhexACP_c + M_nadp_c <=> M_3ohexACP_c + M_nadph_c,R04953,R04953,1,,none,0,False,True,,0, +BIOMD0000001091,R_HIBDkt,M_3hmp_c + M_nad_c <=> M_2mop_c + M_h_c + M_nadh_c,R02047,R02047,1,,none,0,False,True,,0, +BIOMD0000001091,R_HIS1,M_h_c + M_ppi_c + M_prbatp_c <=> M_atp_c + M_prpp_c,R01071,R01071,1,,none,0,False,True,,0, +BIOMD0000001091,R_HIS2,M_h2o_c + M_hisp_c => M_histd_c + M_pi_c,R03013,R03013,1,,none,0,False,True,,0, +BIOMD0000001091,R_HISD1r,M_his__L_c => M_nh4_c + M_urcan_c,R01168,R01168,1,,none,0,False,True,,0, +BIOMD0000001091,R_HISTD,M_h2o_c + M_histd_c + 2 M_nad_c <=> 3 M_h_c + M_his__L_c + 2 M_nadh_c,R01158,R01158,1,,none,0,False,True,,0, +BIOMD0000001091,R_HKM1PP,M_2h3k5m_c + M_h2o_c => M_dhmtp_c + M_pi_c,R07394,R07394,1,,none,0,False,True,,0, +BIOMD0000001091,R_HKNDDH,M_h_c + M_op4en_c + M_succ_c <=> M_h2o_c + M_hkndd_c,R02603,R02603,1,,none,0,False,True,,0, +BIOMD0000001091,R_HKNTDH,M_h2o_c + M_hkntd_c => M_fum_c + M_h_c + M_op4en_c,R06789,R06789,1,,none,0,False,True,,0, +BIOMD0000001091,R_HKYNH,M_h2o_c + M_hLkynr_c => M_3hanthrn_c + M_ala__L_c + M_h_c,R02668,R02668,1,,none,0,False,True,,0, +BIOMD0000001091,R_HMGL,M_hmgcoa_c <=> M_acac_c + M_accoa_c,R01360,R01360,1,,none,0,False,True,,0, +BIOMD0000001091,R_HMPCCDO,M_34dhpha_c + M_o2_c => M_5cmhmsa_c + M_h_c,R03303,R03303,1,,none,0,False,True,,0, +BIOMD0000001091,R_HMSH3,M_ac_c + M_h_c + M_op4en_c <=> M_cchoxod_c + M_h2o_c,R05138,R05138,1,,none,0,False,True,,0, +BIOMD0000001091,R_HOM2,M_aspsa_c + M_nadp_c + M_pi_c <=> M_4pasp_c + M_h_c + M_nadph_c,R02291,R02291,1,,none,0,False,True,,0, +BIOMD0000001091,R_HOXPRx,M_glyc__R_c + M_nad_c <=> M_2h3oppan_c + M_h_c + M_nadh_c,R01745,R01745,1,,none,0,False,True,,0, +BIOMD0000001091,R_HPDOAi,M_dhbpt_c + M_h_c + M_nadph_c <=> M_nadp_c + M_thbpt_c,R01794,R01794,1,,none,0,False,True,,0, +BIOMD0000001091,R_HPPKm,M_6hmhpt_c + M_atp_c <=> M_2ahhmd_c + M_amp_c + M_h_c,R03503,R03503,1,,none,0,False,True,,0, +BIOMD0000001091,R_HPT1_1,M_h_c + M_imp_c + M_ppi_c <=> M_hxan_c + M_prpp_c,R01132,R01132,1,,none,0,False,True,,0, +BIOMD0000001091,R_HPYRI,M_hpyr_c <=> M_2h3oppan_c,R01394,R01394,1,,none,0,False,True,,0, +BIOMD0000001091,R_HPYRRx,M_glyc__R_c + M_nad_c <=> M_h_c + M_hpyr_c + M_nadh_c,R01388,R01388,1,,none,0,False,True,,0, +BIOMD0000001091,R_HPYRRy,M_glyc__R_c + M_nadp_c <=> M_h_c + M_hpyr_c + M_nadph_c,R01392,R01392,1,,none,0,False,True,,0, +BIOMD0000001091,R_HSDx,M_hom__L_c + M_nad_c <=> M_aspsa_c + M_h_c + M_nadh_c,R01773,R01773,1,,none,0,False,True,,0, +BIOMD0000001091,R_HSDy,M_hom__L_c + M_nadp_c <=> M_aspsa_c + M_h_c + M_nadph_c,R01775,R01775,1,,none,0,False,True,,0, +BIOMD0000001091,R_HSST,M_hom__L_c + M_succoa_c => M_coa_c + M_suchms_c,R01777,R01777,1,,none,0,False,True,,0, +BIOMD0000001091,R_HSTPTr,M_akg_c + M_hisp_c <=> M_glu__L_c + M_imacp_c,R03243,R03243,1,,none,0,False,True,,0, +BIOMD0000001091,R_HTDR6,M_3hmrsACP_c + M_nadp_c <=> M_3omrsACP_c + M_nadph_c,R04566,R04566,1,,none,0,False,True,,0, +BIOMD0000001091,R_HXK1_4,M_atp_c + M_fru_c <=> M_adp_c + M_f6p_c + M_h_c,R00760,R00760,1,,none,0,False,True,,0, +BIOMD0000001091,R_ICHORSi,M_chor_c <=> M_ichor_c,R01717,R01717,1,,none,0,False,True,,0, +BIOMD0000001091,R_ICL,M_icit_c <=> M_glx_c + M_succ_c,R00479,R00479,1,,none,0,False,True,,0, +BIOMD0000001091,R_IDP2_2,M_h_c + M_osuc_c => M_akg_c + M_co2_c,R00268,R00268,1,,none,0,False,True,,0, +BIOMD0000001091,R_IDP3_1,M_icit_c + M_nadp_c <=> M_h_c + M_nadph_c + M_osuc_c,R01899,R01899,1,,none,0,False,True,,0, +BIOMD0000001091,R_IG3PS,M_aicar_c + M_eig3p_c + M_glu__L_c + 2 M_h_c <=> M_gln__L_c + M_prlp_c,R04558,R04558,1,,none,0,False,True,,0, +BIOMD0000001091,R_IGPDH,M_eig3p_c => M_h2o_c + M_imacp_c,R03457,R03457,1,,none,0,False,True,,0, +BIOMD0000001091,R_ILV5_3,M_nadp_c + M_pant__R_c <=> M_2dhp_c + M_h_c + M_nadph_c,R02472,R02472,1,,none,0,False,True,,0, +BIOMD0000001091,R_IMPC,M_h2o_c + M_imp_c <=> M_fprica_c,R01127,R01127,1,,none,0,False,True,,0, +BIOMD0000001091,R_INM1,M_h2o_c + M_mi3p__D_c => M_inost_c + M_pi_c,R01187,R01187,1,,none,0,False,True,,0, +BIOMD0000001091,R_INS2D,M_inost_c + M_nad_c <=> M_2ins_c + M_h_c + M_nadh_c,R01183,R01183,1,,none,0,False,True,,0, +BIOMD0000001091,R_IPDDIi,M_ipdp_c <=> M_dmpp_c,R01123,R01123,1,,none,0,False,True,,0, +BIOMD0000001091,R_IPDPS,M_h2mb4p_c + M_h_c + M_nadh_c => M_h2o_c + M_ipdp_c + M_nad_c,R08209,R08209,1,,none,0,False,True,,0, +BIOMD0000001091,R_IPMD,M_3c2hmp_c + M_nad_c <=> M_3c4mop_c + M_h_c + M_nadh_c,R04426,R04426,1,,none,0,False,True,,0, +BIOMD0000001091,R_IPPMIa,M_3c2hmp_c <=> M_2ippm_c + M_h2o_c,R04001,R04001,1,,none,0,False,True,,0, +BIOMD0000001091,R_IPPMIb,M_3c3hmp_c <=> M_2ippm_c + M_h2o_c,R03968,R03968,1,,none,0,False,True,,0, +BIOMD0000001091,R_IZPN,M_4izp_c + M_h2o_c + M_h_c => M_forglu_c,R02288,R02288,1,,none,0,False,True,,0, +BIOMD0000001091,R_KAT1,2 M_accoa_c <=> M_aacoa_c + M_coa_c,R00238,R00238,1,,none,0,False,True,,0, +BIOMD0000001091,R_KAT2,M_accoa_c + M_btcoa_c <=> M_3ohcoa_c + M_coa_c,R01177,R01177,1,,none,0,False,True,,0, +BIOMD0000001091,R_KAT3,M_accoa_c + M_hxcoa_c <=> M_3oocoa_c + M_coa_c,R04747,R04747,1,,none,0,False,True,,0, +BIOMD0000001091,R_KAT4,M_accoa_c + M_occoa_c <=> M_3odcoa_c + M_coa_c,R03778,R03778,1,,none,0,False,True,,0, +BIOMD0000001091,R_KAT5,M_accoa_c + M_dcacoa_c <=> M_3oddcoa_c + M_coa_c,R04742,R04742,1,,none,0,False,True,,0, +BIOMD0000001091,R_KAT7,M_accoa_c + M_tdcoa_c <=> M_3ohdcoa_c + M_coa_c,R03991,R03991,1,,none,0,False,True,,0, +BIOMD0000001091,R_KDOCT,M_ctp_c + M_kdo_c => M_ckdo_c + M_h_c + M_ppi_c,R03351,R03351,1,,none,0,False,True,,0, +BIOMD0000001091,R_LDH_L,M_lac__L_c + M_nad_c <=> M_h_c + M_nadh_c + M_pyr_c,R00703,R00703,1,,none,0,False,True,,0, +BIOMD0000001091,R_LEU4,M_3c3hmp_c + M_coa_c + M_h_c <=> M_3mob_c + M_accoa_c + M_h2o_c,R01213,R01213,1,,none,0,False,True,,0, +BIOMD0000001091,R_LEUTAi,M_akg_c + M_leu__L_c <=> M_4mop_c + M_glu__L_c,R01090,R01090,1,,none,0,False,True,,0, +BIOMD0000001091,R_LLEUD,M_h2o_c + M_leu__L_c + M_nad_c <=> M_4mop_c + M_h_c + M_nadh_c + M_nh4_c,R01088,R01088,1,,none,0,False,True,,0, +BIOMD0000001091,R_LPD1,M_dhlam_c + M_nad_c <=> M_h_c + M_lpam_c + M_nadh_c,R01698,R01698,1,,none,0,False,True,,0, +BIOMD0000001091,R_LYSDC,M_h_c + M_lys__L_c => M_15dap_c + M_co2_c,R00462,R00462,1,,none,0,False,True,,0, +BIOMD0000001091,R_M1PD,M_mnl1p_c + M_nad_c <=> M_f6p_c + M_h_c + M_nadh_c,R00758,R00758,1,,none,0,False,True,,0, +BIOMD0000001091,R_MALS,M_coa_c + M_h_c + M_mal__L_c <=> M_accoa_c + M_glx_c + M_h2o_c,R00472,R00472,1,,none,0,False,True,,0, +BIOMD0000001091,R_MAN1PT2_r,M_gdp_c + M_man1p_c <=> M_gdpmann_c + M_pi_c,R00883,R00883,1,,none,0,False,True,,0, +BIOMD0000001091,R_MBCOAi,M_fad_c + M_h_c + M_ivcoa_c <=> M_3mb2coa_c + M_fadh2_c,R04095,R04095,1,,none,0,False,True,,0, +BIOMD0000001091,R_MCCC,M_3mb2coa_c + M_atp_c + M_hco3_c <=> M_3mgcoa_c + M_adp_c + M_h_c + M_pi_c,R04138,R04138,1,,none,0,False,True,,0, +BIOMD0000001091,R_MCITS,M_2mcit_c + M_coa_c + M_h_c <=> M_h2o_c + M_oaa_c + M_ppcoa_c,R00931,R00931,1,,none,0,False,True,,0, +BIOMD0000001091,R_MCMAT2,M_butACP_c + M_malACP_c => M_3ohexACP_c + M_ACP_c + M_co2_c,R04952,R04952,1,,none,0,False,True,,0, +BIOMD0000001091,R_MCMAT4,M_malACP_c + M_ocACP_c => M_3odecACP_c + M_ACP_c + M_co2_c,R04960,R04960,1,,none,0,False,True,,0, +BIOMD0000001091,R_MCPSTr,M_cyan_c + M_mercppyr_c <=> M_h_c + M_pyr_c + M_tcynt_c,R03106,R03106,1,,none,0,False,True,,0, +BIOMD0000001091,R_MCT1,M_ACP_c + M_h_c + M_malcoa_c <=> M_coa_c + M_malACP_c,R01626,R01626,1,,none,0,False,True,,0, +BIOMD0000001091,R_MDH,M_mal__L_c + M_nad_c <=> M_h_c + M_nadh_c + M_oaa_c,R00342,R00342,1,,none,0,False,True,,0, +BIOMD0000001091,R_MDRPDr,M_5mdru1p_c => M_h2o_c + M_hkmpp_c,R07392,R07392,1,,none,0,False,True,,0, +BIOMD0000001091,R_ME1x_D,M_mal__D_c + M_nad_c => M_co2_c + M_nadh_c + M_pyr_c,R00215,R00215,1,,none,0,False,True,,0, +BIOMD0000001091,R_ME2,M_mal__L_c + M_nadp_c => M_co2_c + M_nadph_c + M_pyr_c,R00216,R00216,1,,none,0,False,True,,0, +BIOMD0000001091,R_MECDPS,M_2p4c2me_c <=> M_2mecdp_c + M_cmp_c,R05637,R05637,1,,none,0,False,True,,0, +BIOMD0000001091,R_MEPCT,M_2me4p_c + M_ctp_c <=> M_4c2me_c + M_ppi_c,R05633,R05633,1,,none,0,False,True,,0, +BIOMD0000001091,R_MET12,M_5mthf_c + M_nadp_c <=> M_h_c + M_mlthf_c + M_nadph_c,R01224,R01224,1,,none,0,False,True,,0, +BIOMD0000001091,R_MET14,M_aps_c + M_atp_c <=> M_adp_c + M_h_c + M_paps_c,R00509,R00509,1,,none,0,False,True,,0, +BIOMD0000001091,R_MET17_3,M_achms_c + M_h2s_c => M_ac_c + M_hcys__L_c,R01287,R01287,1,,none,0,False,True,,0, +BIOMD0000001091,R_MET2,M_accoa_c + M_hom__L_c => M_achms_c + M_coa_c,R01776,R01776,1,,none,0,False,True,,0, +BIOMD0000001091,R_MET22,M_h2o_c + M_pap_c => M_amp_c + M_pi_c,R00188,R00188,1,,none,0,False,True,,0, +BIOMD0000001091,R_MET3,M_atp_c + M_so4_c <=> M_aps_c + M_ppi_c,R00529,R00529,1,,none,0,False,True,,0, +BIOMD0000001091,R_METAT,M_atp_c + M_h2o_c + M_met__L_c => M_amet_c + M_h_c + M_pi_c + M_ppi_c,R00177,R00177,1,,none,0,False,True,,0, +BIOMD0000001091,R_METB1,M_achms_c + M_cys__L_c <=> M_ac_c + M_cpd00424_c0 + M_h_c,R03217,R03217,1,,none,0,False,True,,0, +BIOMD0000001091,R_METSMHPGLUT_b,M_5mthf_c + M_hcys__L_c <=> M_met__L_c + M_thf_c,R00946,R00946,1,,none,0,False,True,,0, +BIOMD0000001091,R_METSR_S1,M_h2o_c + M_met__L_c + M_trdox_c <=> M_metsox_S__L_c + M_trdrd_c,R02025,R02025,1,,none,0,False,True,,0, +BIOMD0000001091,R_MGCOAH,M_hmgcoa_c <=> M_3mgcoa_c + M_h2o_c,R02085,R02085,1,,none,0,False,True,,0, +BIOMD0000001091,R_MGSA,M_dhap_c => M_mthgxl_c + M_pi_c,R01016,R01016,1,,none,0,False,True,,0, +BIOMD0000001091,R_MHPGLUT,M_hcys__L_c + M_mhpglu_c <=> M_met__L_c + M_thglu_c,R04405,R04405,1,,none,0,False,True,,0, +BIOMD0000001091,R_MI1PP,M_h2o_c + M_mi1p__D_c => M_inost_c + M_pi_c,R01185,R01185,1,,none,0,False,True,,0, +BIOMD0000001091,R_MI4PP,M_h2o_c + M_mi4p__D_c => M_inost_c + M_pi_c,R01186,R01186,1,,none,0,False,True,,0, +BIOMD0000001091,R_MME,M_mmcoa__R_c <=> M_mmcoa__S_c,R02765,R02765,1,,none,0,False,True,,0, +BIOMD0000001091,R_MMM2,M_mmcoa__R_c <=> M_succoa_c,R00833,R00833,1,,none,0,False,True,,0, +BIOMD0000001091,R_MMSAD1,M_2mop_c + M_coa_c + M_nad_c <=> M_co2_c + M_nadh_c + M_ppcoa_c,R00922,R00922,1,,none,0,False,True,,0, +BIOMD0000001091,R_MMSAD3,M_coa_c + M_msa_c + M_nad_c <=> M_accoa_c + M_co2_c + M_nadh_c,R00705,R00705,1,,none,0,False,True,,0, +BIOMD0000001091,R_MOHMT,M_3mob_c + M_h2o_c + M_mlthf_c <=> M_2dhp_c + M_thf_c,R01226,R01226,1,,none,0,False,True,,0, +BIOMD0000001091,R_MSS4,M_atp_c + M_cpd11837_c0 <=> M_adp_c + M_ptd145bp_SC_c,R03469,R03469,1,,none,0,False,True,,0, +BIOMD0000001091,R_MTAN,M_5mta_c + M_h2o_c <=> M_5mtr_c + M_ade_c,R01401,R01401,1,,none,0,False,True,,0, +BIOMD0000001091,R_MTHFR2,M_5mthf_c + M_nad_c <=> M_h_c + M_mlthf_c + M_nadh_c,R07168,R07168,1,,none,0,False,True,,0, +BIOMD0000001091,R_MTI,M_malt_c <=> M_tre_c,R01557;R06218,R01557,2,,none,0,False,True,,0, +BIOMD0000001091,R_MUQ1,M_ctp_c + M_ethamp_c <=> M_cdpea_c + M_ppi_c,R02038,R02038,1,,none,0,False,True,,0, +BIOMD0000001091,R_NADS2,M_atp_c + M_dnad_c + M_gln__L_c + M_h2o_c => M_amp_c + M_glu__L_c + 2 M_h_c + M_nad_c + M_ppi_c,R00257,R00257,1,,none,0,False,True,,0, +BIOMD0000001091,R_NAPRTr,M_nicrnt_c + M_ppi_c <=> M_nac_c + M_prpp_c,R01724,R01724,1,,none,0,False,True,,0, +BIOMD0000001091,R_NDPK1,M_atp_c + M_gdp_c <=> M_adp_c + M_gtp_c,R00330,R00330,1,,none,0,False,True,,0, +BIOMD0000001091,R_NDPK5,M_atp_c + M_dgdp_c <=> M_adp_c + M_dgtp_c,R01857,R01857,1,,none,0,False,True,,0, +BIOMD0000001091,R_NDPK6,M_atp_c + M_dudp_c <=> M_adp_c + M_dutp_c,R02331,R02331,1,,none,0,False,True,,0, +BIOMD0000001091,R_NDPK7,M_atp_c + M_dcdp_c <=> M_adp_c + M_dctp_c,R02326,R02326,1,,none,0,False,True,,0, +BIOMD0000001091,R_NDPK9,M_atp_c + M_idp_c <=> M_adp_c + M_itp_c,R00722,R00722,1,,none,0,False,True,,0, +BIOMD0000001091,R_NMNR,M_h2o_c + M_nmn_c => M_pi_c + M_rnam_c,R02323,R02323,1,,none,0,False,True,,0, +BIOMD0000001091,R_NNATm,M_atp_c + M_nicrnt_c <=> M_dnad_c + M_ppi_c,R03005,R03005,1,,none,0,False,True,,0, +BIOMD0000001091,R_NNDMBRT,M_dmbzid_c + M_nicrnt_c <=> M_5prdmbz_c + M_h_c + M_nac_c,R04148,R04148,1,,none,0,False,True,,0, +BIOMD0000001091,R_NODOx,M_nadh_c + 2 M_no_c + 2 M_o2_c <=> M_h_c + M_nad_c + 2 M_no3_c,R05724,R05724,1,,none,0,False,True,,0, +BIOMD0000001091,R_NODOy,M_nadph_c + 2 M_no_c + 2 M_o2_c <=> M_h_c + M_nadp_c + 2 M_no3_c,R05725,R05725,1,,none,0,False,True,,0, +BIOMD0000001091,R_NPHSr,M_sbzcoa_c => M_coa_c + M_dhna_c,R04150,R04150,1,,none,0,False,True,,0, +BIOMD0000001091,R_NTD1,M_dump_c + M_h2o_c => M_duri_c + M_pi_c,R02102,R02102,1,,none,0,False,True,,0, +BIOMD0000001091,R_NTD2,M_h2o_c + M_ump_c => M_pi_c + M_uri_c,R00963,R00963,1,,none,0,False,True,,0, +BIOMD0000001091,R_NTD3,M_dcmp_c + M_h2o_c => M_dcyt_c + M_pi_c,R01664,R01664,1,,none,0,False,True,,0, +BIOMD0000001091,R_NTD4,M_cmp_c + M_h2o_c => M_cytd_c + M_pi_c,R00511,R00511,1,,none,0,False,True,,0, +BIOMD0000001091,R_NTD5pp,M_dtmp_c + M_h2o_c => M_pi_c + M_thymd_c,R01569,R01569,1,,none,0,False,True,,0, +BIOMD0000001091,R_NTD7pp,M_amp_c + M_h2o_c => M_adn_c + M_pi_c,R00183,R00183,1,,none,0,False,True,,0, +BIOMD0000001091,R_NTD8pp,M_dgmp_c + M_h2o_c => M_dgsn_c + M_pi_c,R01968,R01968,1,,none,0,False,True,,0, +BIOMD0000001091,R_OCMAT3,M_nad_c + M_ocACP_c <=> M_h_c + M_nadh_c + M_toct2eACP_c,R04958,R04958,1,,none,0,False,True,,0, +BIOMD0000001091,R_OHPHM,M_2ohph_c + M_amet_c => M_2omph_c + M_ahcys_c + M_h_c,R04988,R04988,1,,none,0,False,True,,0, +BIOMD0000001091,R_OMCDCm,M_4mop_c + M_co2_c <=> M_3c4mop_c + M_h_c,R01652,R01652,1,,none,0,False,True,,0, +BIOMD0000001091,R_OPAH,M_5oxpro_c + M_atp_c + 2 M_h2o_c => M_adp_c + M_glu__L_c + M_h_c + M_pi_c,R00251,R00251,1,,none,0,False,True,,0, +BIOMD0000001091,R_OPHBDC,M_3ophb_c + M_h_c => M_2oph_c + M_co2_c,R04986,R04986,1,,none,0,False,True,,0, +BIOMD0000001091,R_OPTCCL,M_5cohe_c + M_h_c => M_2hh24dd_c + M_co2_c,R04380,R04380,1,,none,0,False,True,,0, +BIOMD0000001091,R_OXACOAL,M_atp_c + M_coa_c + M_oxa_c <=> M_amp_c + M_oxalcoa_c + M_ppi_c,R01558,R01558,1,,none,0,False,True,,0, +BIOMD0000001091,R_P5CD,M_1pyr5c_c + 2 M_h2o_c + M_nad_c <=> M_glu__L_c + M_h_c + M_nadh_c,R00707,R00707,1,,none,0,False,True,,0, +BIOMD0000001091,R_PAPPT2,M_uAgla_c + M_udcpp_c <=> M_uaGgla_c + M_ump_c,R05629,R05629,1,,none,0,False,True,,0, +BIOMD0000001091,R_PAPPT3,M_udcpp_c + M_uggmda_c <=> M_uagmda_c + M_ump_c,R05630,R05630,1,,none,0,False,True,,0, +BIOMD0000001091,R_PASR,M_paps_c + M_trdrd_c => M_h_c + M_pap_c + M_so3_c + M_trdox_c,R02021,R02021,1,,none,0,False,True,,0, +BIOMD0000001091,R_PC11M,M_amet_c + M_pre4_c <=> M_ahcys_c + M_h_c + M_pre5_c,R05181,R05181,1,,none,0,False,True,,0, +BIOMD0000001091,R_PC17M,M_amet_c + M_pre3b_c <=> M_ahcys_c + 2 M_h_c + M_pre4_c,R05180,R05180,1,,none,0,False,True,,0, +BIOMD0000001091,R_PC20M,M_amet_c + M_pre2_c <=> M_ahcys_c + M_h_c + M_pre3a_c,R03948,R03948,1,,none,0,False,True,,0, +BIOMD0000001091,R_PC8XM,3 M_h_c + M_pre8_c <=> M_hgbyr_c,R05177,R05177,1,,none,0,False,True,,0, +BIOMD0000001091,R_PDHbr,M_accoa_c + M_dhlam_c <=> M_adhlam_c + M_coa_c,R02569,R02569,1,,none,0,False,True,,0, +BIOMD0000001091,R_PDX3_1,M_h2o_c + M_o2_c + M_pyam5p_c => M_h2o2_c + M_nh4_c + M_pydx5p_c,R00277,R00277,1,,none,0,False,True,,0, +BIOMD0000001091,R_PDX3_2,M_o2_c + M_pdx5p_c => M_h2o2_c + M_pydx5p_c,R00278,R00278,1,,none,0,False,True,,0, +BIOMD0000001091,R_PEPCK_re,M_gtp_c + M_oaa_c => M_co2_c + M_gdp_c + M_pep_c,R00431,R00431,1,,none,0,False,True,,0, +BIOMD0000001091,R_PFK,M_atp_c + M_f6p_c <=> M_adp_c + M_fdp_c + M_h_c,R00756,R00756,1,,none,0,False,True,,0, +BIOMD0000001091,R_PFK_3,M_atp_c + M_s7p_c <=> M_adp_c + M_h_c + M_s17bp_c,R01843,R01843,1,,none,0,False,True,,0, +BIOMD0000001091,R_PFK_adp,M_adp_c + M_f6p_c <=> M_amp_c + M_fdp_c + 2 M_h_c,R05805,R05805,1,,none,0,False,True,,0, +BIOMD0000001091,R_PGAMT,M_gam1p_c <=> M_gam6p_c,R02060,R02060,1,,none,0,False,True,,0, +BIOMD0000001091,R_PGGH,M_cellb6p_c + M_h2o_c => M_g6p_c + M_glc__D_c,R00839,R00839,1,,none,0,False,True,,0, +BIOMD0000001091,R_PGI,M_g6p_c <=> M_f6p_c,R00771,R00771,1,,none,0,False,True,,0, +BIOMD0000001091,R_PGI1_2,M_g6p_c <=> M_g6p_B_c,R02739,R02739,1,,none,0,False,True,,0, +BIOMD0000001091,R_PGK,M_3pg_c + M_atp_c <=> M_13dpg_c + M_adp_c,R01512,R01512,1,,none,0,False,True,,0, +BIOMD0000001091,R_PGM,M_2pg_c <=> M_3pg_c,R01518,R01518,1,,none,0,False,True,,0, +BIOMD0000001091,R_PGM1_2,M_g1p_c <=> M_g6p_c,R00959;R08639,R00959,2,,none,0,False,True,,0, +BIOMD0000001091,R_PHETA1,M_akg_c + M_phe__L_c <=> M_glu__L_c + M_phpyr_c,R00694,R00694,1,,none,0,False,True,,0, +BIOMD0000001091,R_PHO8,M_ahdt_c + 3 M_h2o_c => M_dhnpt_c + 3 M_h_c + 3 M_pi_c,R04620,R04620,1,,none,0,False,True,,0, +BIOMD0000001091,R_PMI40,M_man6p_c <=> M_f6p_c,R00772,R00772,1,,none,0,False,True,,0, +BIOMD0000001091,R_PNC1_2,M_h2o_c + M_ncam_c => M_nac_c + M_nh4_c,R01268,R01268,1,,none,0,False,True,,0, +BIOMD0000001091,R_PNP1_10,M_adn_c + M_pi_c <=> M_ade_c + M_r1p_c,R01561,R01561,1,,none,0,False,True,,0, +BIOMD0000001091,R_PNP1_11,M_gsn_c + M_pi_c <=> M_gua_c + M_r1p_c,R02147,R02147,1,,none,0,False,True,,0, +BIOMD0000001091,R_PNP1_6,M_ins_c + M_pi_c <=> M_hxan_c + M_r1p_c,R01863,R01863,1,,none,0,False,True,,0, +BIOMD0000001091,R_PNP1_9,M_pi_c + M_xtsn_c <=> M_r1p_c + M_xan_c,R02297,R02297,1,,none,0,False,True,,0, +BIOMD0000001091,R_PPA_1,M_h2o_c + M_ppi_c => M_h_c + 2 M_pi_c,R00004,R00004,1,,none,0,False,True,,0, +BIOMD0000001091,R_PPCDC,M_4ppcys_c + M_h_c => M_co2_c + M_pan4p_c,R03269,R03269,1,,none,0,False,True,,0, +BIOMD0000001091,R_PPCK,M_atp_c + M_oaa_c => M_adp_c + M_co2_c + M_pep_c,R00341,R00341,1,,none,0,False,True,,0, +BIOMD0000001091,R_PPM2,M_2dr1p_c <=> M_2dr5p_c,R02749,R02749,1,,none,0,False,True,,0, +BIOMD0000001091,R_PPNCL3,M_4ppan_c + M_atp_c + M_cys__L_c => M_4ppcys_c + M_amp_c + 2 M_h_c + M_ppi_c,R04230,R04230,1,,none,0,False,True,,0, +BIOMD0000001091,R_PPNDH,M_h_c + M_pphn_c => M_co2_c + M_h2o_c + M_phpyr_c,R01373,R01373,1,,none,0,False,True,,0, +BIOMD0000001091,R_PPPGOm,3 M_o2_c + 2 M_pppg9_c <=> 6 M_h2o_c + 2 M_ppp9_c,R03222,R03222,1,,none,0,False,True,,0, +BIOMD0000001091,R_PPTT,M_ipdp_c + M_pendp_c => M_h_c + M_hexdp_c + M_ppi_c,R05613,R05613,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRAI,M_pran_c <=> M_2cpr5p_c,R03509,R03509,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRAIS,M_atp_c + M_fpram_c <=> M_adp_c + M_air_c + M_h_c + M_pi_c,R04208,R04208,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRAMPC,M_h2o_c + M_prbamp_c <=> M_prfp_c,R04037,R04037,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRASCS,M_5aizc_c + M_asp__L_c + M_atp_c => M_25aics_c + M_adp_c + M_h_c + M_pi_c,R04591,R04591,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRATPP,M_h2o_c + M_prbatp_c => 2 M_h_c + M_ppi_c + M_prbamp_c,R04035,R04035,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRDX,M_h2o2_c + M_meoh_c <=> M_fald_c + 2 M_h2o_c,R00602,R00602,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRFGS,M_atp_c + M_fgam_c + M_gln__L_c + M_h2o_c => M_adp_c + M_fpram_c + M_glu__L_c + M_h_c + M_pi_c,R04463,R04463,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRMICI,M_h_c + M_prfp_c <=> M_prlp_c,R04640,R04640,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRO1x,M_nad_c + M_pro__L_c <=> M_1pyr5c_c + 2 M_h_c + M_nadh_c,R01248,R01248,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRO1z,M_fad_c + M_pro__L_c <=> M_1pyr5c_c + M_fadh2_c,R10507,R10507,1,,none,0,False,True,,0, +BIOMD0000001091,R_PRO3_1,M_nadp_c + M_pro__L_c <=> M_1pyr5c_c + 2 M_h_c + M_nadph_c,R01251,R01251,1,,none,0,False,True,,0, +BIOMD0000001091,R_PROPP,M_atp_c + M_ppa_c <=> M_adp_c + M_ppap_c,R01353,R01353,1,,none,0,False,True,,0, +BIOMD0000001091,R_PSA1,M_gtp_c + M_man1p_c <=> M_gdpmann_c + M_ppi_c,R00885,R00885,1,,none,0,False,True,,0, +BIOMD0000001091,R_PSCVTi,M_pep_c + M_skm5p_c <=> M_3psme_c + M_pi_c,R03460,R03460,1,,none,0,False,True,,0, +BIOMD0000001091,R_PSERT,M_akg_c + M_pser__L_c <=> M_3php_c + M_glu__L_c,R04173,R04173,1,,none,0,False,True,,0, +BIOMD0000001091,R_PTA2r,M_pi_c + M_ppcoa_c <=> M_coa_c + M_ppap_c,R00921,R00921,1,,none,0,False,True,,0, +BIOMD0000001091,R_PTAr,M_accoa_c + M_pi_c <=> M_actp_c + M_coa_c,R00230,R00230,1,,none,0,False,True,,0, +BIOMD0000001091,R_PTHKr,M_atp_c + M_ptth_c <=> M_adp_c + M_h_c + M_pan4p_c,R02971,R02971,1,,none,0,False,True,,0, +BIOMD0000001091,R_PTPATim,M_atp_c + M_pan4p_c <=> M_dpcoa_c + M_ppi_c,R03035,R03035,1,,none,0,False,True,,0, +BIOMD0000001091,R_PUNP2,M_dad_2_c + M_pi_c <=> M_2dr1p_c + M_ade_c,R02557,R02557,1,,none,0,False,True,,0, +BIOMD0000001091,R_PUNP4,M_dgsn_c + M_pi_c <=> M_2dr1p_c + M_gua_c,R01969,R01969,1,,none,0,False,True,,0, +BIOMD0000001091,R_PUNP6,M_din_c + M_pi_c <=> M_2dr1p_c + M_hxan_c,R02748,R02748,1,,none,0,False,True,,0, +BIOMD0000001091,R_PUTA3,M_glu5sa_c + M_h2o_c + M_nad_c => M_glu__L_c + 2 M_h_c + M_nadh_c,R00245,R00245,1,,none,0,False,True,,0, +BIOMD0000001091,R_PYDXNK,M_atp_c + M_pydxn_c <=> M_adp_c + M_h_c + M_pdx5p_c,R01909,R01909,1,,none,0,False,True,,0, +BIOMD0000001091,R_PYK,M_atp_c + M_pyr_c <=> M_adp_c + M_h_c + M_pep_c,R00200,R00200,1,,none,0,False,True,,0, +BIOMD0000001091,R_PYNP1r,M_cytd_c + M_pi_c <=> M_csn_c + M_r1p_c,R02296,R02296,1,,none,0,False,True,,0, +BIOMD0000001091,R_PYNP2,M_pi_c + M_uri_c <=> M_r1p_c + M_ura_c,R01876,R01876,1,,none,0,False,True,,0, +BIOMD0000001091,R_QNS1_2,M_atp_c + M_dnad_c + M_nh4_c => M_amp_c + 2 M_h_c + M_nad_c + M_ppi_c,R00189,R00189,1,,none,0,False,True,,0, +BIOMD0000001091,R_QPT1_1,M_co2_c + M_nicrnt_c + M_ppi_c <=> M_h_c + M_prpp_c + M_quln_c,R03348,R03348,1,,none,0,False,True,,0, +BIOMD0000001091,R_QULNS,2 M_h2o_c + M_pi_c + M_quln_c <=> M_dhap_c + M_iasp_c,R04292,R04292,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00014,M_2ahethmpp_c + M_co2_c <=> M_h_c + M_pyr_c + M_thmpp_c,R00014,R00014,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00015,2 M_sucr_c <=> M_cpd02298_c0 + M_glc__D_c,R00015,R00015,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00018,2 M_ptrc_c <=> M_hspmd_c + M_nh4_c,R00018,R00018,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00066,2 M_dmlz_c + M_h_c => M_4r5au_c + M_ribflv_c,R00066,R00066,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00075,3 M_amet_c <=> 3 M_5mta_c + M_cpd03158_c0 + 4 M_h_c,R00075,R00075,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00081,4 M_focytC_c + 4 M_h_c + M_o2_c <=> 4 M_ficytC_c + 2 M_h2o_c,R00081,R00081,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00092,2 M_fe2_c + M_h_c + M_nad_c <=> 2 M_fe3_c + M_nadh_c,R00092,R00092,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00145,M_cpd03077_c0 + M_h2o_c + M_nad_c <=> M_cpd11625_c0 + M_nadh_c + M_nh4_c,R00145,R00145,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00146,M_cpd03077_c0 + M_h2o_c + M_nadp_c <=> M_cpd11625_c0 + M_nadph_c + M_nh4_c,R00146,R00146,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00149,2 M_atp_c + M_co2_c + M_h2o_c + M_nh4_c <=> 2 M_adp_c + M_cbp_c + 3 M_h_c + M_pi_c,R00149,R00149,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00218,M_cpd02080_c0 + M_h2o_c + M_h_c <=> M_co2_c + M_pyr_c,R00218,R00218,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00221,M_ser__D_c => M_nh4_c + M_pyr_c,R00221,R00221,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00241,M_atp_c + M_glu__L_c + M_h_c <=> M_adp_c + M_cpd03413_c0,R00241,R00241,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00264,M_25dop_c + M_h2o_c + M_nadp_c => M_akg_c + 2 M_h_c + M_nadph_c,R00264,R00264,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00279,M_glu__D_c + M_h2o_c + M_o2_c <=> M_akg_c + M_h2o2_c + M_nh4_c,R00279,R00279,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00321,M_ad_c + M_h2o_c => M_ac_c + M_nh4_c,R00321,R00321,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00334,M_atp_c + M_cpd12232_c0 <=> M_adp_c + M_cpd00354_c0,R00334,R00334,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00353,M_malcoa_c + M_pyr_c <=> M_accoa_c + M_oaa_c,R00353,R00353,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00354,M_cpd00442_c0 <=> M_accoa_c + M_h_c + M_oaa_c,R00354,R00354,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00359,M_asp__D_c + M_h2o_c + M_o2_c <=> M_h2o2_c + M_nh4_c + M_oaa_c,R00359,R00359,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00383,M_acoa_c + M_h2o_c <=> M_coa_c + M_cpd00049_c0 + 2 M_h_c,R00383,R00383,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00396,M_ala__L_c + M_h2o_c + M_nad_c <=> M_h_c + M_nadh_c + M_nh4_c + M_pyr_c,R00396,R00396,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00428,M_gtp_c + M_h2o_c => M_cpd03518_c0,R00428,R00428,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00452,M_cpd02490_c0 + M_h2o_c + M_nadp_c <=> M_h_c + M_lys__L_c + M_nadph_c + M_pyr_c,R00452,R00452,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00468,M_coa_c + M_glx_c + M_nadp_c <=> M_nadph_c + M_oxalcoa_c,R00468,R00468,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00474,M_co2_c + M_cpd02056_c0 <=> M_akg_c + M_glx_c + M_h_c,R00474,R00474,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00488,M_Nacasp_c + M_h2o_c <=> M_ac_c + M_asp__L_c,R00488,R00488,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00516,M_cytd_c + M_utp_c <=> M_cmp_c + M_h_c + M_udp_c,R00516,R00516,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00526,M_cpd00769_c0 + M_h2o_c <=> M_asp__L_c + M_for_c,R00526,R00526,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00540,M_cpd00542_c0 + 2 M_h2o_c <=> M_cpd00049_c0 + M_nh4_c,R00540,R00540,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00546,M_cpd01759_c0 + M_h2o_c <=> M_asp__L_c + M_cpd00049_c0,R00546,R00546,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00551,M_arg__L_c + M_h2o_c => M_orn__L_c + M_urea_c,R00551,R00551,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00558,M_arg__L_c + M_h_c + M_nadph_c + M_o2_c => M_h2o_c + M_nadp_c + M_nwharg_c,R00558,R00558,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00565,M_arg__L_c + M_gly_c <=> M_gudac_c + M_orn__L_c,R00565,R00565,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00603,M_cpd01530_c0 + M_h2o_c <=> 2 M_cl_c + M_fald_c + 2 M_h_c,R00603,R00603,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00621,M_akg_c + M_h_c + M_thmpp_c => M_co2_c + M_cpd03189_c0,R00621,R00621,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00623,M_cpd00195_c0 + M_nad_c <=> M_cpd11616_c0 + M_h_c + M_nadh_c,R00623,R00623,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00624,M_cpd11679_c0 + M_nad_c <=> M_cpd11733_c0 + M_h_c + M_nadh_c,R00624,R00624,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00635,M_cpd11616_c0 + M_h2o_c + M_o2_c <=> M_cpd00049_c0 + M_h2o2_c + M_h_c,R00635,R00635,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00643,M_cpd00820_c0 + M_o2_c <=> M_ascb__L_c + M_h2o2_c + M_h_c,R00643,R00643,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00667,M_akg_c + M_orn__L_c <=> M_glu5sa_c + M_glu__L_c,R00667,R00667,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00671,M_orn__L_c => M_nh4_c + M_pro__L_c,R00671,R00671,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00679,M_o2_c + M_trp__L_c => M_co2_c + M_h2o_c + M_iad_c,R00679,R00679,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00697,M_phe__L_c <=> M_cinnm_c + M_nh4_c,R00697,R00697,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00726,M_itp_c + M_oaa_c <=> M_co2_c + M_idp_c + M_pep_c,R00726,R00726,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00740,M_coa_c + M_msa_c + M_nadp_c <=> M_h_c + M_malcoa_c + M_nadph_c,R00740,R00740,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00749,M_etha_c => M_acald_c + M_nh4_c,R00749,R00749,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00753,M_lac__L_c <=> M_acald_c + M_for_c,R00753,R00753,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00765,M_gam6p_c + M_h2o_c => M_f6p_c + M_nh4_c,R00765,R00765,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00782,M_cys__L_c + M_h2o_c => M_h2s_c + M_h_c + M_nh4_c + M_pyr_c,R00782,R00782,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00849,M_cpd00364_c0 + M_glyc3p_c <=> M_dhap_c + M_hqn_c,R00849,R00849,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00866,M_atp_c + M_fru_c <=> M_adp_c + M_f1p_c + M_h_c,R00866,R00866,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00891,M_h2s_c + M_h_c + M_ser__L_c <=> M_cys__L_c + M_h2o_c,R00891,R00891,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00906,M_cpd01489_c0 + M_h2o_c + M_nad_c <=> M_ala_B_c + M_h_c + M_nadh_c + M_pyr_c,R00906,R00906,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00909,M_cpd00788_c0 + M_h2o_c <=> M_ac_c + M_ala_B_c,R00909,R00909,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00926,M_coa_c + M_cpd03560_c0 => M_amp_c + M_h_c + M_ppcoa_c,R00926,R00926,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00930,M_mmcoa__S_c + M_pyr_c <=> M_oaa_c + M_ppcoa_c,R00930,R00930,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00967,M_uri_c + M_utp_c <=> M_h_c + M_udp_c + M_ump_c,R00967,R00967,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00969,M_cpd03706_c0 + M_h2o_c => M_h_c + M_ump_c + M_utp_c,R00969,R00969,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00977,M_56dura_c + M_nad_c <=> M_h_c + M_nadh_c + M_ura_c,R00977,R00977,1,,none,0,False,True,,0, +BIOMD0000001091,R_R00994,M_2obut_c + M_co2_c + M_nadh_c <=> M_nad_c + M_r3mmal_c,R00994,R00994,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01049,M_atp_c + M_r5p_c <=> M_amp_c + M_h_c + M_prpp_c,R01049,R01049,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01050,M_atp_c + M_h_c + M_r5p_c <=> M_adp_c + M_r15bp_c,R01050,R01050,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01055,M_r5p_c + M_ura_c => M_h2o_c + M_psd5p_c,R01055,R01055,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01056,M_r5p_c <=> M_ru5p__D_c,R01056,R01056,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01057,M_r1p_c <=> M_r5p_c,R01057,R01057,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01059,M_atp_c + M_glyald_c <=> M_adp_c + M_g3p_c + M_h_c,R01059,R01059,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01081,M_rib__D_c <=> M_rbl__D_c,R01081,R01081,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01086,M_argsuc_c <=> M_arg__L_c + M_fum_c,R01086,R01086,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01091,M_leu__L_c <=> M_cpd01634_c0,R01091,R01091,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01117,M_acnam_c + M_ctp_c => M_cmpacna_c + M_h_c + M_ppi_c,R01117,R01117,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01163,M_cpd01324_c0 + M_h2o_c + M_nad_c => 2 M_h_c + M_his__L_c + M_nadh_c,R01163,R01163,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01209,M_23dhmb_c => M_3mob_c + M_h2o_c,R01209,R01209,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01216,M_2dhp_c <=> M_3mob_c + M_fald_c,R01216,R01216,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01238,M_4hbz_c + M_h_c <=> M_co2_c + M_phenol_c,R01238,R01238,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01257,M_fad_c + M_h_c + M_mal__L_c <=> M_fadh2_c + M_oaa_c,R01257,R01257,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01258,M_cpd11623_c0 + M_h2o_c + M_nad_c <=> M_cpd11625_c0 + M_nadh_c + M_nh4_c,R01258,R01258,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01354,M_atp_c + M_ppa_c <=> M_cpd03560_c0 + M_ppi_c,R01354,R01354,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01398,M_cbp_c + M_orn__L_c => M_citr__L_c + M_h_c + M_pi_c,R01398,R01398,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01414,M_56dthm_c + M_nad_c <=> M_h_c + M_nadh_c + M_thym_c,R01414,R01414,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01434,M_h2o_c + M_nad_c + M_val__L_c <=> M_3mob_c + M_h_c + M_nadh_c + M_nh4_c,R01434,R01434,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01440,M_fald_c + M_xu5p__D_c <=> M_dha_c + M_g3p_c,R01440,R01440,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01548,M_cytd_c + M_datp_c <=> M_cmp_c + M_dadp_c + M_h_c,R01548,R01548,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01549,M_datp_c + M_uri_c <=> M_dadp_c + M_h_c + M_ump_c,R01549,R01549,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01566,M_creat_c + M_h2o_c <=> M_sarcs_c + M_urea_c,R01566,R01566,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01583,M_glu__D_c <=> M_cpd01512_c0 + M_h2o_c,R01583,R01583,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01625,M_apoACP_c + M_coa_c <=> M_ACP_c + M_pap_c,R01625,R01625,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01654,M_10fthf_c + M_atp_c + M_glu__L_c => M_10fthfglu__L_c + M_adp_c + M_h_c + M_pi_c,R01654,R01654,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01660,M_13dpg_c + M_g1p_c + M_h_c <=> M_3pg_c + M_cpd00907_c0,R01660,R01660,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01686,M_arg__L_c + M_taur_c <=> M_cpd01345_c0 + M_orn__L_c,R01686,R01686,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01709,M_h2o_c + M_o2_c + M_pydx_c <=> M_4pyrdx_c + M_h2o2_c + M_h_c,R01709,R01709,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01731,M_Largn_c + M_oaa_c <=> M_asp__L_c + M_pphn_c,R01731,R01731,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01738,M_glcn__D_c + M_nad_c <=> M_5dglcn_c + M_h_c + M_nadh_c,R01738,R01738,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01747,M_glyc__R_c + M_nadp_c <=> M_2h3oppan_c + M_h_c + M_nadph_c,R01747,R01747,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01845,M_h2o_c + M_s17bp_c => M_pi_c + M_s7p_c,R01845,R01845,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01875,2 M_gthrd_c + M_tsul_c <=> M_gthox_c + M_h2s_c + M_h_c + M_so3_c,R01875,R01875,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01880,M_dgtp_c + M_uri_c <=> M_dgdp_c + M_h_c + M_ump_c,R01880,R01880,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01919,M_ptrc_c + M_spmd_c <=> M_13dampp_c + M_hspmd_c,R01919,R01919,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01937,M_2oxoadp_c + M_nad_c + M_nh4_c <=> M_amuco_c + M_h2o_c + 2 M_h_c + M_nadh_c,R01937,R01937,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01954,M_asp__L_c + M_atp_c + M_citr__L_c <=> M_amp_c + M_argsuc_c + 2 M_h_c + M_ppi_c,R01954,R01954,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01976,M_3hbcoa_c + M_nadp_c <=> M_aacoa_c + M_h_c + M_nadph_c,R01976,R01976,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01980,M_atp_c + M_galur_c <=> M_adp_c + M_cpd02497_c0 + M_h_c,R01980,R01980,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01986,M_4abutn_c + M_h2o_c + M_nadp_c => M_4abut_c + 2 M_h_c + M_nadph_c,R01986,R01986,1,,none,0,False,True,,0, +BIOMD0000001091,R_R01989,M_4abut_c + M_arg__L_c <=> M_4gudbutn_c + M_orn__L_c,R01989,R01989,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02026,M_achms_c + M_trdrd_c + M_tsul_c => M_ac_c + M_h_c + M_hcys__L_c + M_so3_c + M_trdox_c,R02026,R02026,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02091,M_cytd_c + M_dgtp_c <=> M_cmp_c + M_dgdp_c + M_h_c,R02091,R02091,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02096,M_cytd_c + M_dttp_c <=> M_cmp_c + M_dtdp_c + M_h_c,R02096,R02096,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02097,M_dttp_c + M_uri_c <=> M_dtdp_c + M_h_c + M_ump_c,R02097,R02097,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02114,M_cpd00301_c0 + M_pc_SC_c <=> M_cpd02601_c0 + M_cpd11979_c0,R02114,R02114,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02123,M_h2o_c + M_nad_c + M_retinal_c <=> 2 M_h_c + M_nadh_c + M_retn_c,R02123,R02123,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02124,M_nad_c + M_retinol_c <=> M_h_c + M_nadh_c + M_retinal_c,R02124,R02124,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02145,M_gsn_c + M_h2o_c + M_h_c <=> M_nh4_c + M_xtsn_c,R02145,R02145,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02196,M_h2o_c + M_ile__L_c + M_nad_c <=> M_3mop_c + M_h_c + M_nadh_c + M_nh4_c,R02196,R02196,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02233,M_cpd00445_c0 + M_h2o_c + M_o2_c <=> M_cpd00329_c0 + M_h2o2_c + M_nh4_c,R02233,R02233,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02238,M_atp_c + M_dhf_c + M_for_c <=> M_adp_c + M_cpd02046_c0 + M_pi_c,R02238,R02238,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02280,M_cpd02626_c0 + M_h2o_c + M_h_c <=> M_25dop_c + M_nh4_c,R02280,R02280,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02282,M_acorn_c + M_glu__L_c <=> M_acglu_c + M_orn__L_c,R02282,R02282,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02287,M_5forthf_c + M_glu__L_c <=> M_forglu_c + M_thf_c,R02287,R02287,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02295,M_nicrns_c + M_pi_c <=> M_h_c + M_nac_c + M_r1p_c,R02295,R02295,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02313,M_h2o_c + M_nad_c + M_saccrp__L_c <=> M_L2aadp6sa_c + M_glu__L_c + M_h_c + M_nadh_c,R02313,R02313,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02319,M_cpd00173_c0 + M_h2o_c <=> M_cpd00354_c0 + M_h_c + M_pi_c,R02319,R02319,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02327,M_dctp_c + M_uri_c <=> M_dcdp_c + M_h_c + M_ump_c,R02327,R02327,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02332,M_dutp_c + M_uri_c <=> M_dudp_c + M_h_c + M_ump_c,R02332,R02332,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02366,M_acoa_c + M_retinol_c <=> M_coa_c + M_cpd12018_c0 + M_h_c,R02366,R02366,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02367,M_pmtcoa_c + M_retinol_c <=> M_coa_c + M_cpd01691_c0,R02367,R02367,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02371,M_cytd_c + M_dctp_c <=> M_cmp_c + M_dcdp_c + M_h_c,R02371,R02371,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02372,M_cytd_c + M_dutp_c <=> M_cmp_c + M_dudp_c + M_h_c,R02372,R02372,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02384,M_amet_c + M_tym_c <=> M_ahcys_c + M_cpd01610_c0 + M_h_c,R02384,R02384,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02423,M_alltt_c + M_h2o_c + 2 M_h_c => M_co2_c + M_nh4_c + M_udg_c,R02423,R02423,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02430,M_atp_c + M_cpd00392_c0 <=> M_adp_c + M_cpd02203_c0,R02430,R02430,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02561,M_4abz_c + 2 M_h_c + M_nadh_c + M_o2_c <=> M_co2_c + M_cpd01584_c0 + M_h2o_c + M_nad_c,R02561,R02561,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02562,M_4abz_c + 2 M_h_c + M_nadph_c + M_o2_c <=> M_co2_c + M_cpd01584_c0 + M_h2o_c + M_nadp_c,R02562,R02562,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02584,M_atp_c + M_cpd11704_c0 <=> M_adp_c + M_cpd11820_c0,R02584,R02584,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02615,M_cpd01413_c0 <=> M_pacald_c,R02615,R02615,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02616,M_accoa_c + M_cpd11706_c0 <=> M_coa_c + M_cpd12383_c0,R02616,R02616,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02625,M_atp_c + M_cpd11712_c0 <=> M_adp_c + M_cpd12508_c0 + M_h_c,R02625,R02625,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02646,M_cpd12729_c0 + M_pi_c <=> M_r1p_c + M_urate_c,R02646,R02646,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02657,M_cpd00479_c0 + M_h2o2_c + M_h_c <=> M_cpd03315_c0 + M_h2o_c + M_o2_c,R02657,R02657,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02662,M_dhlam_c + M_ibcoa_c <=> M_2mpdhl_c + M_coa_c,R02662,R02662,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02670,2 M_3hanthrn_c + 4 M_o2_c <=> M_cpd03351_c0 + 2 M_h2o2_c + 2 M_h_c + 2 M_o2s_c,R02670,R02670,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02672,M_cpd02259_c0 + M_h_c <=> M_4hbald_c + M_co2_c,R02672,R02672,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02698,M_4hphac_c + M_h_c + M_nadh_c + M_o2_c => M_34dhpha_c + M_h2o_c + M_nad_c,R02698,R02698,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02743,M_glucys_c => M_5oxpro_c + M_cys__L_c,R02743,R02743,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02755,M_26dap__M_c + M_h2o_c + M_nadp_c <=> M_cpd02414_c0 + M_h_c + M_nadph_c + M_nh4_c,R02755,R02755,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02764,M_h2o_c + M_mmcoa__S_c <=> M_coa_c + M_h_c + M_mm_c,R02764,R02764,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02770,M_cpd11727_c0 <=> M_cpd12473_c0,R02770,R02770,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02773,M_akg_c + M_cpd02616_c0 <=> M_dtdp4d6dg_c + M_glu__L_c,R02773,R02773,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02797,M_h2o_c + M_tchola_c <=> M_cholate_c + M_taur_c,R02797,R02797,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02922,M_crtn_c + M_h2o_c + M_h_c <=> M_cpd01679_c0 + M_nh4_c,R02922,R02922,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02941,M_cpd03709_c0 + M_h2o_c + M_nad_c <=> 2 M_h_c + M_nadh_c + M_salc_c,R02941,R02941,1,,none,0,False,True,,0, +BIOMD0000001091,R_R02949,M_actn__R_c <=> M_cpd01221_c0,R02949,R02949,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03012,M_histd_c + M_nad_c <=> M_cpd01324_c0 + M_h_c + M_nadh_c,R03012,R03012,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03024,M_cpd02135_c0 + M_h2o_c => M_4nph_c + M_pi_c,R03024,R03024,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03037,M_h2o_c + M_ichor_c => M_23ddhb_c + M_pyr_c,R03037,R03037,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03045,M_3hpcoa_c <=> M_h2o_c + M_pp2coa_c,R03045,R03045,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03046,M_cpd01560_c0 <=> M_nh4_c + M_pp2coa_c,R03046,R03046,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03050,M_alac__S_c + M_thmpp_c <=> M_2ahethmpp_c + M_pyr_c,R03050,R03050,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03051,M_alac__S_c + M_h_c + M_nadph_c <=> M_23dhmb_c + M_nadp_c,R03051,R03051,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03052,M_alac__S_c <=> M_3hmoa_c,R03052,R03052,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03104,M_mercplac_c + M_nad_c <=> M_h_c + M_mercppyr_c + M_nadh_c,R03104,R03104,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03105,M_mercppyr_c + M_so3_c <=> M_pyr_c + M_tsul_c,R03105,R03105,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03142,M_adp_c + M_cpd11794_c0 <=> M_cpd11888_c0 + M_h_c + M_pi_c,R03142,R03142,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03161,M_atp_c + M_fuc__L_c <=> M_adp_c + M_fuc1p__L_c + M_h_c,R03161,R03161,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03174,M_2mbcoa_c + M_dhlam_c <=> M_coa_c + M_cpd14703_c0,R03174,R03174,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03189,M_5fthf_c + M_glu__L_c <=> M_Nforglu_c + M_h_c + M_thf_c,R03189,R03189,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03236,M_atp_c + M_tag6p__D_c <=> M_adp_c + M_h_c + M_tagdp__D_c,R03236,R03236,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03266,M_4hglu_c + M_akg_c <=> M_4h2oglt_c + M_glu__L_c,R03266,R03266,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03270,M_2ahethmpp_c + M_lpam_c <=> M_adhlam_c + M_thmpp_c,R03270,R03270,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03288,M_ans_c + M_h2o_c <=> M_NPmehis_c + M_ala_B_c,R03288,R03288,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03295,M_4hpro_LT_c + M_fad_c <=> M_1p3h5c_c + M_fadh2_c,R03295,R03295,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03299,M_3hoxpac_c + M_h_c + M_nadh_c + M_o2_c => M_34dhpha_c + M_h2o_c + M_nad_c,R03299,R03299,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03316,M_cpd03189_c0 + M_lpam_c <=> M_sdhlam_c + M_thmpp_c,R03316,R03316,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03334,M_cpd02603_c0 <=> M_cpd02601_c0,R03334,R03334,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03346,M_h2o_c + M_nicrnt_c => M_nicrns_c + M_pi_c,R03346,R03346,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03375,M_cpd00888_c0 + M_ctp_c <=> M_cpd02200_c0 + M_ppi_c,R03375,R03375,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03392,M_cpd02638_c0 + M_h2o_c + M_nadp_c <=> M_cdp4dh6doglc_c + M_h_c + M_nadph_c,R03392,R03392,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03410,M_amet_c + M_cpd11827_c0 <=> M_ahcys_c + M_cpd12496_c0 + M_h_c,R03410,R03410,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03491,M_acnam_c + M_cpd00947_c0 <=> M_cpd12599_c0 + M_h2o_c,R03491;R05999,R03491,2,,none,0,False,True,,0, +BIOMD0000001091,R_R03508,M_2cpr5p_c + M_h_c => M_3ig3p_c + M_co2_c + M_h2o_c,R03508,R03508,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03544,M_btal_c + M_h_c + M_nadh_c <=> M_1btol_c + M_nad_c,R03544,R03544,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03607,M_atp_c + M_cpd01085_c0 <=> M_adp_c + M_cpd01684_c0 + M_h_c,R03607,R03607,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03790,M_cpd01357_c0 + M_nad_c <=> M_cpd01447_c0 + M_h_c + M_nadh_c,R03790,R03790,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03819,M_atp_c + M_cpd01407_c0 <=> M_adp_c + M_cpd03722_c0,R03819,R03819,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03868,M_cpd01466_c0 <=> M_cpd01653_c0,R03868,R03868,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03871,M_h2o2_c + M_h_c + M_mm_c <=> M_2mop_c + M_h2o_c + M_o2_c,R03871,R03871,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03881,M_ugam_c <=> M_cpd01623_c0,R03881,R03881,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03901,M_cpd12379_c0 <=> M_2amac_c + M_cpd12050_c0,R03901,R03901,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03956,M_cpd12113_c0 + M_gthrd_c <=> M_cpd12176_c0 + M_gly_c,R03956,R03956,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03969,M_cpd02306_c0 + M_h2o_c <=> M_cpd01650_c0 + M_h_c + M_pi_c,R03969,R03969,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03970,M_cpd01651_c0 + M_glu__L_c <=> M_cpd03407_c0 + M_h2o_c,R03970,R03970,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03975,M_cpd03247_c0 + M_h2o_c <=> M_cpd01663_c0 + M_gly_c,R03975,R03975,1,,none,0,False,True,,0, +BIOMD0000001091,R_R03977,M_h2o_c + M_tdchola_c <=> M_cpd01663_c0 + M_taur_c,R03977,R03977,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04002,M_atp_c + M_h_c + M_ibt_c <=> M_adp_c + M_cpd02353_c0,R04002,R04002,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04011,M_cpd12155_c0 + M_gln__L_c <=> M_cpd16483_c0 + M_nh4_c,R04011,R04011,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04013,M_amet_c + M_cpd02787_c0 <=> M_ahcys_c + M_cpd01736_c0 + M_h_c,R04013,R04013,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04031,M_h2o_c + M_sucbz_c <=> M_2shchc_c,R04031,R04031,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04038,M_amp_c + M_dmpp_c <=> M_cpd02870_c0 + M_ppi_c,R04038,R04038,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04074,M_cpd11953_c0 + M_nad_c <=> M_cpd12522_c0 + M_h_c + M_ncam_c,R04074,R04074,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04085,M_1mncam_c + M_h2o_c + M_o2_c <=> M_cpd03473_c0 + M_h2o2_c + M_h_c,R04085,R04085,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04091,M_acser_c + M_cpd01877_c0 <=> M_ac_c + M_cpd02715_c0 + 2 M_h_c,R04091,R04091,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04097,M_dhlam_c + M_ivcoa_c <=> M_coa_c + M_cpd14699_c0,R04097,R04097,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04125,M_alpro_c + M_thf_c => M_dhlpro_c + M_mlthf_c + M_nh4_c,R04125,R04125,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04143,M_5mtr_c + M_atp_c <=> M_5mdr1p_c + M_adp_c + M_h_c,R04143,R04143,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04177,M_cpd02469_c0 <=> M_cpd02080_c0 + M_h2o_c,R04177,R04177,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04198,M_nad_c + M_thdp_c <=> M_23dhdp_c + M_h_c + M_nadh_c,R04198,R04198,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04206,M_cpd02132_c0 <=> M_cpd02645_c0 + M_h2o_c,R04206,R04206,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04247,M_2ameph_c + M_ctp_c <=> M_cmp2amep_c + M_h_c + M_ppi_c,R04247,R04247,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04248,M_2ameph_c + M_h2o2_c <=> M_etha_c + M_h_c + M_pi_c,R04248,R04248,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04266,M_cpd02264_c0 <=> M_cpd02265_c0,R04266,R04266,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04273,M_cpd12390_c0 <=> M_cpd12358_c0,R04273,R04273,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04318,M_cpd16471_c0 + M_h_c <=> M_h2o_c + M_peng_c,R04318,R04318,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04326,M_fgam_c + 2 M_h_c + M_thf_c <=> M_gar_c + M_h2o_c + M_methf_c,R04326,R04326,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04336,M_cpd02414_c0 => M_h2o_c + M_h_c + M_thdp_c,R04336,R04336,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04339,M_cpd02427_c0 + M_nad_c <=> M_cpd02714_c0 + M_h_c + M_nadh_c,R04339,R04339,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04340,M_cpd02427_c0 + M_nadp_c <=> M_cpd02714_c0 + M_h_c + M_nadph_c,R04340,R04340,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04341,M_cpd12425_c0 + M_h2o_c <=> M_cpd12424_c0 + M_nh4_c,R04341,R04341,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04386,M_accoa_c + M_cbtnCCP_c => M_btnCCP_c + M_malcoa_c,R04386,R04386,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04391,M_atp_c + M_ptcys_c <=> M_4ppcys_c + M_adp_c + M_h_c,R04391,R04391,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04420,M_5mdr1p_c <=> M_5mdru1p_c,R04420,R04420,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04440,M_23dhmb_c + M_nadp_c <=> M_3hmoa_c + M_h_c + M_nadph_c,R04440,R04440,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04486,M_cpd03245_c0 + M_h2o_c <=> M_cpd02733_c0 + M_gly_c,R04486,R04486,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04487,M_cpd03244_c0 + M_h2o_c <=> M_cpd02733_c0 + M_taur_c,R04487,R04487,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04488,M_cpd02734_c0 + M_h2o_c <=> M_cpd03596_c0 + M_for_c + M_h_c,R04488,R04488,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04526,M_cpd01140_c0 + M_cpd02807_c0 <=> M_cpd02952_c0 + M_udp_c,R04526,R04526,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04564,M_cmpacna_c + M_cpd12592_c0 <=> M_cmp_c + M_cpd02972_c0 + M_h_c,R04564,R04564,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04582,M_atp_c + M_btn_c + M_cpd12608_c0 <=> M_amp_c + M_cpd12597_c0 + M_h_c + M_ppi_c,R04582,R04582,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04639,M_ahdt_c + M_h2o_c <=> M_cpd03666_c0,R04639,R04639,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04650,M_acnam_c + M_cpd12640_c0 <=> M_cpd02999_c0 + M_h2o_c,R04650;R06253,R04650,2,,none,0,False,True,,0, +BIOMD0000001091,R_R04673,M_2ahethmpp_c + M_2obut_c <=> M_2ahbut_c + M_thmpp_c,R04673,R04673,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04695,M_cpd03680_c0 + M_nadph_c <=> M_cpd03083_c0 + M_nadp_c,R04695,R04695,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04719,M_amet_c + M_cpd12677_c0 <=> M_ahcys_c + M_cpd12700_c0 + M_h_c,R04719,R04719,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04805,M_nad_c + M_xol7ah3_c <=> M_h_c + M_nadh_c + M_xol7ah2al_c,R04805,R04805,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04810,M_nad_c + M_thcholoylcoa_c <=> M_cpd03232_c0 + M_h_c + M_nadh_c,R04810,R04810,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04812,M_cpd03233_c0 + M_nad_c <=> M_cholcoaone_c + M_h_c + M_nadh_c,R04812,R04812,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04858,M_amet_c + M_dnac_c => M_ahcys_c + M_dna5mtc_c + M_h_c,R04858,R04858,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04880,M_34dhoxpeg_c + M_nad_c <=> M_34dhmald_c + M_h_c + M_nadh_c,R04880,R04880,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04904,M_5hoxindact_c + M_h2o_c + M_o2_c <=> M_5hoxindoa_c + M_h2o2_c + M_h_c,R04904,R04904,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04916,M_cpd03365_c0 + M_h2o_c + M_nad_c <=> M_cpd03366_c0 + 2 M_h_c + M_nadh_c,R04916,R04916,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04917,M_cpd03365_c0 + M_h2o_c + M_nadp_c <=> M_cpd03366_c0 + 2 M_h_c + M_nadph_c,R04917,R04917,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04936,M_h2o_c + M_seahcys_c <=> M_adn_c + M_selhcys_c,R04936,R04936,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04942,M_selhcys_c + M_ser__L_c <=> M_h2o_c + M_selcyst_c,R04942,R04942,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04966,M_myrsACP_c + M_nad_c <=> 2 M_h_c + M_nadh_c + M_tmrs2eACP_c,R04966,R04966,1,,none,0,False,True,,0, +BIOMD0000001091,R_R04969,M_nad_c + M_palmACP_c <=> M_h_c + M_nadh_c + M_tpalm2eACP_c,R04969,R04969,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05030,M_atp_c + M_nh4_c + M_uaaGgla_c => M_adp_c + M_h_c + M_pi_c + M_uaaGgtla_c,R05030,R05030,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05032,M_uacgam_c + M_uagmda_c <=> M_uaagmda_c + M_udp_c,R05032,R05032,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05046,M_cpd03518_c0 + M_h2o_c <=> M_cpd03519_c0 + M_for_c + M_h_c,R05046,R05046,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05048,M_cpd03519_c0 <=> M_cpd03666_c0,R05048,R05048,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05068,M_23dhmp_c + M_nadp_c <=> M_cpd10162_c0 + M_h_c + M_nadph_c,R05068,R05068,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05069,M_2ahbut_c <=> M_cpd10162_c0,R05069,R05069,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05076,M_cpd03588_c0 <=> M_h2o_c + M_mescoa_c,R05076,R05076,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05113,M_cmpacna_c + M_cpd03658_c0 <=> M_cmp_c + M_cpd03659_c0 + M_h_c,R05113,R05113,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05115,M_acnam_c + M_cpd03660_c0 <=> M_cpd03659_c0 + M_h2o_c,R05115,R05115,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05133,M_arbt6p_c + M_h2o_c => M_g6p_B_c + M_hqn_c,R05133,R05133,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05134,M_h2o_c + M_salc6p_c => M_2hymeph_c + M_g6p_B_c,R05134,R05134,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05145,M_btamp_c + M_cpd12847_c0 <=> M_amp_c + M_btnCCP_c + M_h_c,R05145,R05145,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05175,M_cpd12044_c0 <=> M_cpd12868_c0,R05175,R05175,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05179,M_amet_c + M_cpd12870_c0 <=> M_ahcys_c + M_cpd12871_c0 + M_h_c,R05179,R05179,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05233,M_cpd04015_c0 + M_nad_c <=> M_cpd04017_c0 + M_h_c + M_nadh_c,R05233,R05233,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05234,M_cpd04016_c0 + M_nad_c <=> M_cpd15064_c0 + M_h_c + M_nadh_c,R05234,R05234,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05307,M_cpd04105_c0 + M_fald_c + M_nad_c <=> M_cpd04106_c0 + M_h_c + M_nadh_c,R05307,R05307,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05339,M_cpd03583_c0 <=> M_f6p_c,R05339,R05339,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05358,M_cpd01368_c0 + 2 M_h2o_c <=> M_acryl_c + M_nh4_c,R05358,R05358,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05363,M_cpd04049_c0 + M_h2o_c <=> M_cpd04050_c0 + M_cpd08208_c0 + M_h_c,R05363,R05363,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05364,M_cpd03989_c0 + M_h2o_c <=> M_h_c + M_ibt_c + M_op4en_c,R05364,R05364,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05365,M_cpd05041_c0 + M_h2o_c <=> M_anth_c + M_h_c + M_op4en_c,R05365,R05365,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05366,M_cpd04393_c0 + M_h2o_c <=> M_h_c + M_op4en_c + M_ppa_c,R05366,R05366,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05465,M_arg__L_c + M_g3p_c <=> M_cpd04058_c0 + M_h_c + M_pi_c,R05465,R05465,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05549,M_h2o_c + M_mnt_c => M_gal_c + M_melib_c,R05549;R06096,R05549,2,,none,0,False,True,,0, +BIOMD0000001091,R_R05554,M_h2o_c + M_udg_c <=> M_nh4_c + M_urdglyc_c,R05554,R05554,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05555,M_frdp_c + M_ipdp_c => M_h_c + M_ppi_c + M_ttc_ggdp_c,R05555,R05555,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05562,M_cpd03963_c0 + M_h2o_c + M_h_c <=> M_co2_c + M_nh4_c + M_urea_c,R05562,R05562,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05563,M_cpd03963_c0 + M_h2o_c <=> M_allphn_c + M_nh4_c,R05563,R05563,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05566,M_uacmam_c + M_unaga_c => M_cpd02967_c0 + M_udp_c,R05566,R05566,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05575,M_hmpscoa_c + M_nad_c <=> M_cpd06712_c0 + M_h_c + M_nadh_c,R05575,R05575,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05576,M_cpd03043_c0 + M_nadp_c <=> M_aacoa_c + 2 M_h_c + M_nadph_c,R05576,R05576,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05590,M_cpd06707_c0 + M_h2o_c => M_bz_c + M_nh4_c,R05590,R05590,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05594,M_6occhcoa_c + 2 M_h2o_c <=> M_3hpimcoa_c + M_h_c,R05594,R05594,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05614,M_2omhmbl_c + M_amet_c => M_ahcys_c + M_h_c + M_q8_c,R05614,R05614,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05643,M_cpd01956_c0 + M_h2o_c + M_nad_c <=> M_cpd01129_c0 + 2 M_h_c + M_nadh_c,R05643,R05643,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05649,M_cpd08279_c0 + M_h2o_c + M_nad_c <=> M_cpd02045_c0 + 2 M_h_c + M_nadh_c,R05649,R05649,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05701,M_conialdh_c + M_h2o_c + M_nadp_c <=> M_fer_c + 2 M_h_c + M_nadph_c,R05701,R05701,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05783,M_cpd04509_c0 + M_h2o_c <=> M_cpd01357_c0 + M_nh4_c,R05783,R05783,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05807,M_cobalt2_c + M_scl_c <=> M_copre2_c + 2 M_h_c,R05807,R05807,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05835,M_gchola_c + M_h2o_c <=> M_cholate_c + M_gly_c,R05835,R05835,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05884,M_h2mb4p_c + M_h_c + M_nadph_c => M_h2o_c + M_ipdp_c + M_nadp_c,R05884,R05884,1,,none,0,False,True,,0, +BIOMD0000001091,R_R05940,M_cmpacna_c + M_cpd12599_c0 <=> M_cmp_c + M_cpd03654_c0 + M_h_c,R04583;R05940,R04583,2,,none,0,False,True,,0, +BIOMD0000001091,R_R05998,M_cpd03660_c0 + M_h2o_c <=> M_acnam_c + M_cpd03661_c0,R05117;R05998,R05117,2,,none,0,False,True,,0, +BIOMD0000001091,R_R06000,M_cmpacna_c + M_cpd02999_c0 <=> M_cmp_c + M_cpd03660_c0 + M_h_c,R04661;R06000,R04661,2,,none,0,False,True,,0, +BIOMD0000001091,R_R06005,M_cmpacna_c + M_cpd12640_c0 <=> M_cmp_c + M_cpd03661_c0 + M_h_c,R04649;R06005,R04649,2,,none,0,False,True,,0, +BIOMD0000001091,R_R06009,M_cmpacna_c + M_cpd02996_c0 <=> M_cmp_c + M_cpd03655_c0 + M_h_c,R04632;R06009,R04632,2,,none,0,False,True,,0, +BIOMD0000001091,R_R06012,M_cpd02996_c0 + M_h2o_c <=> M_acnam_c + M_cpd03656_c0,R04634;R06012,R04634,2,,none,0,False,True,,0, +BIOMD0000001091,R_R06063,M_5hiu_c + M_h2o_c => M_co2_c + M_cpd01567_c0 + M_h_c,R06063,R06063,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06064,M_5hiu_c + M_h2o_c => M_alltn_c + M_co2_c + M_h_c,R06064,R06064,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06092,M_cellb_c + M_h2o_c => 2 M_cpd00190_c0,R00026;R06092,R00026,2,,none,0,False,True,,0, +BIOMD0000001091,R_R06134,M_cpd11636_c0 + M_h2o_c <=> M_cpd00049_c0 + M_nh4_c,R06134,R06134,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06146,M_2ommbl_c + M_h_c + M_nadph_c + M_o2_c => M_2omhmbl_c + M_h2o_c + M_nadp_c,R06146,R06146,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06147,M_acnam_c + M_cpd01743_c0 <=> M_cpd03653_c0 + M_h2o_c,R04018;R06147,R04018,2,,none,0,False,True,,0, +BIOMD0000001091,R_R06364,M_ak2g_hs_c + M_cdpea_c <=> M_cmp_c + M_cpd12554_c0 + 2 M_h_c,R06364,R06364,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06371,M_cpd08732_c0 + M_h2o_c <=> M_cpd08733_c0 + M_h_c,R06371,R06371,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06407,M_cpd02708_c0 + M_h2o_c + M_nad_c <=> M_cpd08741_c0 + 2 M_h_c + M_nadh_c,R06407,R06407,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06408,M_cpd08739_c0 + M_h2o_c + M_nad_c <=> M_cpd08740_c0 + 2 M_h_c + M_nadh_c,R06408,R06408,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06447,M_frdp_c + 8 M_ipdp_c <=> 8 M_h_c + 8 M_ppi_c + M_udcpdp_c,R06447,R06447,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06558,M_adocbi_c + M_gtp_c <=> M_adocbip_c + M_gdp_c + M_h_c,R06558,R06558,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06601,M_5hiu_c + M_h2o_c => M_5houdic_c + M_h_c,R06601,R06601,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06602,M_ichor_c => M_pyr_c + M_salc_c,R06602,R06602,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06605,M_5houdic_c => M_co2_c + M_cpd01567_c0,R06605,R06605,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06736,M_accoa_c + M_cpd01404_c0 <=> M_coa_c + M_cpd09204_c0,R06736,R06736,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06843,M_cpd09350_c0 + M_h_c + M_nadph_c => M_cpd09351_c0 + M_nadp_c + M_pi_c,R06843,R06843,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06858,M_dhna_c + M_phdp_c => M_co2_c + M_dmtphllqne_c + 2 M_h_c + M_ppi_c,R06858,R06858,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06861,M_thmpp_c + M_xu5p__D_c <=> M_cpd09421_c0 + M_g3p_c,R06861,R06861,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06862,M_cpd09421_c0 + M_fald_c <=> M_dha_c + M_thmpp_c,R06862,R06862,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06903,M_cpd09801_c0 + M_fum_c => M_cpd09818_c0,R06903,R06903,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06914,M_cpd09790_c0 + M_h2o_c + M_nad_c <=> M_cpd09791_c0 + 2 M_h_c + M_nadh_c,R06914,R06914,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06917,M_cpd09792_c0 + M_nad_c <=> M_cpd09793_c0 + M_h_c + M_nadh_c,R06917,R06917,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06918,M_cpd09793_c0 + M_h2o_c + M_nad_c <=> M_cpd09794_c0 + 2 M_h_c + M_nadh_c,R06918,R06918,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06927,M_cpd01859_c0 + M_nad_c <=> M_cpd09802_c0 + M_h_c + M_nadh_c,R06927,R06927,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06928,M_cpd09802_c0 + M_h2o_c + M_nad_c <=> M_cpd09804_c0 + 2 M_h_c + M_nadh_c,R06928,R06928,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06935,M_cpd09811_c0 + M_h2o_c + M_nad_c <=> M_cpd09812_c0 + 2 M_h_c + M_nadh_c,R06935,R06935,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06941,M_3hadpcoa_c + 4 M_h_c + M_nad_c <=> M_nadh_c + M_oxadpcoa_c,R06941,R06941,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06948,M_vioxan_c <=> M_neoxan_c,R06948,R06948,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06951,M_cpd09433_c0 <=> M_cpd09434_c0,R06951,R06951,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06970,M_cpd09846_c0 + M_h2o_c + M_h_c <=> M_cpd09847_c0 + M_nh4_c,R06970,R06970,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06971,M_cpd09847_c0 + M_h2o_c + M_h_c <=> M_cpd09848_c0 + M_nh4_c,R06971,R06971,1,,none,0,False,True,,0, +BIOMD0000001091,R_R06972,M_cpd09848_c0 + M_h2o_c + M_h_c <=> M_cpd03962_c0 + M_cpd09849_c0,R06972,R06972,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07034,M_5HPET_c + 2 M_gthrd_c <=> M_cpd02918_c0 + M_gthox_c + M_h2o_c,R07034,R07034,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07035,M_15HPET_c + 2 M_gthrd_c <=> M_cpd02890_c0 + M_gthox_c + M_h2o_c,R07035,R07035,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07105,M_cpd04248_c0 + M_h_c + M_nadh_c <=> M_cpd04661_c0 + M_h2o_c + M_nad_c,R07105,R07105,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07180,2 M_cpd11849_c0 + M_cpd14475_c0 <=> M_cpd14474_c0 + M_h2o_c + M_trnagln_c,R07180,R07180,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07208,M_h_c + M_nadph_c + M_o2_c + M_xol24oh_c <=> M_h2o_c + M_nadp_c + M_xoltri24_c,R07208,R07208,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07219,M_dmpp_c + M_h2o_c + M_nadp_c <=> M_h2mb4p_c + M_h_c + M_nadph_c,R07219,R07219,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07237,M_amet_c + M_uppg3_c <=> M_ahcys_c + M_cpd11206_c0 + M_h_c,R07237,R07237,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07238,M_amet_c + M_cpd11206_c0 <=> M_ahcys_c + M_pre2_c,R07238,R07238,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07245,M_acorn_c + M_cbp_c => M_cpd11209_c0 + M_h_c + M_pi_c,R07245,R07245,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07263,M_h_c + M_sbzcoa_c => M_cpd11217_c0 + M_h2o_c,R07263,R07263,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07302,M_adcobhex_c + M_appl_c + M_atp_c <=> M_adocbi_c + M_adp_c + M_h_c + M_pi_c,R07302,R07302,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07307,M_dctp_c + 2 M_h2o_c <=> M_dump_c + M_h_c + M_nh4_c + M_ppi_c,R07307,R07307,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07311,M_cpd04126_c0 + M_h2o_c <=> M_cpd01642_c0 + M_so3_c,R07311,R07311,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07384,M_cmp_c + M_cpd12606_c0 + 2 M_h_c <=> M_cdpea_c + M_cpd12322_c0,R07384,R07384,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07417,M_ggbutal_c + M_h2o_c + M_nad_c => M_gg4abut_c + 2 M_h_c + M_nadh_c,R07417,R07417,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07441,M_cpd03333_c0 + M_h2o_c + M_nad_c <=> M_cpd00373_c0 + 2 M_h_c + M_nadh_c,R07441,R07441,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07442,M_cpd03333_c0 + M_h2o_c + M_nadp_c <=> M_cpd00373_c0 + 2 M_h_c + M_nadph_c,R07442,R07442,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07456,M_g3p_c + M_gln__L_c + M_ru5p__D_c => M_glu__L_c + 3 M_h2o_c + M_h_c + M_pi_c + M_pydx5p_c,R07456,R07456,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07463,M_gly_c => M_dhgly_c + 3 M_h_c,R07463,R07463,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07481,M_amet_c + M_cyart_c <=> M_ahcys_c + M_h_c + M_menecyart_c,R07481,R07481,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07515,M_cpd14710_c0 + M_h2o_c <=> M_cpd01955_c0 + M_cpd14711_c0 + M_h_c,R07515,R07515,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07599,M_3mob_c + M_h_c + M_thmpp_c => M_2mhop_c + M_co2_c,R07599,R07599,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07600,M_2mhop_c + M_lpam_c <=> M_2mpdhl_c + M_thmpp_c,R07600,R07600,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07601,M_4mop_c + M_h_c + M_thmpp_c => M_3mhtpp_c + M_co2_c,R07601,R07601,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07602,M_3mhtpp_c + M_lpam_c <=> M_cpd14699_c0 + M_thmpp_c,R07602,R07602,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07603,M_3mop_c + M_h_c + M_thmpp_c => M_2mhob_c + M_co2_c,R07603,R07603,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07604,M_2mhob_c + M_lpam_c <=> M_cpd14703_c0 + M_thmpp_c,R07604,R07604,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07632,M_grdp_c + M_h2o_c <=> M_cpd02471_c0 + M_h_c + M_ppi_c,R07632,R07632,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07633,M_cpd14790_c0 <=> M_pyr_c + M_so3_c,R07633,R07633,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07638,M_cpd14796_c0 <=> M_cpd14795_c0 + M_h2o_c,R07638,R07638,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07765,M_h_c + M_nadh_c + M_toctd2eACP_c <=> M_cpd12458_c0 + M_nad_c,R07765,R07765,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07802,M_cpd14980_c0 + M_h2o_c <=> M_cpd01129_c0 + M_h_c + M_op4en_c,R07802,R07802,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07831,M_cpd04107_c0 + M_h2o_c <=> M_cpd14988_c0 + M_h_c,R07831,R07831,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07880,M_coucoa_c + M_cpd05630_c0 <=> M_coa_c + M_cpd15065_c0,R07880,R07880,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07882,M_coucoa_c + M_cpd05546_c0 <=> M_coa_c + M_cpd15066_c0,R07882,R07882,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07883,M_coucoa_c + M_cpd15028_c0 <=> M_coa_c + M_cpd15067_c0,R07883,R07883,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07890,M_cpd15045_c0 + M_nad_c <=> M_cpd15046_c0 + M_h_c + M_nadh_c,R07890,R07890,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07894,M_cpd15049_c0 + M_nad_c <=> M_cpd15050_c0 + M_h_c + M_nadh_c,R07894,R07894,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07898,M_cpd15053_c0 + M_nad_c <=> M_cpd15054_c0 + M_h_c + M_nadh_c,R07898,R07898,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07930,M_caffcoa_c + M_cpd05630_c0 <=> M_coa_c + M_cpd15087_c0,R07930,R07930,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07931,M_caffcoa_c + M_cpd05546_c0 <=> M_coa_c + M_cpd15088_c0,R07931,R07931,1,,none,0,False,True,,0, +BIOMD0000001091,R_R07944,M_caffcoa_c + M_cpd15028_c0 <=> M_coa_c + M_cpd15029_c0,R07944,R07944,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08051,M_atp_c + M_dmpp_c <=> M_cpd15130_c0 + M_h_c + M_ppi_c,R08051,R08051,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08052,M_adp_c + M_dmpp_c <=> M_cpd15131_c0 + M_h_c + M_ppi_c,R08052,R08052,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08059,M_mleneh4spt_c + M_nadp_c <=> M_cpd02655_c0 + M_nadph_c,R08059,R08059,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08086,M_cpd01061_c0 + M_h2o_c + M_nad_c <=> M_cpd15165_c0 + 2 M_h_c + M_nadh_c,R08086,R08086,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08087,M_cpd06739_c0 + M_h2o_c + M_nad_c <=> M_cpd15166_c0 + 2 M_h_c + M_nadh_c,R08087,R08087,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08094,M_cpd15173_c0 + M_nad_c <=> M_cpd15175_c0 + M_h_c + M_nadh_c,R08094,R08094,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08096,M_cpd08238_c0 + M_h2o_c + M_nad_c <=> M_cpd15166_c0 + 2 M_h_c + M_nadh_c,R08096,R08096,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08165,M_akg_c + M_h_c + M_ichor_c => M_2sephchc_c + M_co2_c,R08165,R08165,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08166,M_2sephchc_c => M_2shchc_c + M_pyr_c,R08166,R08166,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08221,M_cpd16439_c0 + M_h2o_c + M_h_c <=> M_cpd16329_c0 + M_nh4_c,R08221,R08221,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08227,M_56dh5flura_c + M_h2o_c <=> M_aflburppa_c + M_h_c,R08227,R08227,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08231,M_5flura_c + M_prpp_c <=> M_5flurimp_c + M_ppi_c,R08231,R08231,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08281,M_cpd04806_c0 + M_h_c + M_nadh_c <=> M_cpd16365_c0 + M_nad_c,R08281,R08281,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08306,M_cpd16395_c0 + M_nad_c <=> M_cpd16396_c0 + M_h_c + M_nadh_c,R08306,R08306,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08310,M_cpd16401_c0 + M_nad_c <=> M_cpd16402_c0 + M_h_c + M_nadh_c,R08310,R08310,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08349,M_citalald_c + M_h2o_c + M_o2_c <=> M_citalppa_c + M_h2o2_c + M_h_c,R08349,R08349,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08362,M_cpd01418_c0 + M_cpd14475_c0 <=> M_cpd02026_c0 + M_cpd11848_c0 + M_h2o_c,R08362,R08362,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08381,M_pmtcoa_c + M_retinol_cis_11_c <=> M_coa_c + M_retpalm_11_cis_c,R08381,R08381,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08385,M_h2o_c + M_nad_c + M_retinal_cis_9_c <=> M_cpd11177_c0 + 2 M_h_c + M_nadh_c,R08385,R08385,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08408,M_1mncam_c + M_h2o_c + M_o2_c <=> M_cpd03472_c0 + M_h2o2_c + M_h_c,R08408,R08408,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08504,M_dkdi_c + M_h2o_c => M_cpd16540_c0 + M_h_c,R08603,R08603,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08510,M_cpd07027_c0 + M_nadph_c <=> M_cpd03933_c0 + M_nadp_c,R08510,R08510,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08515,M_adp_c + M_g1p_c <=> M_adpglc_c + M_pi_c,R08515,R08515,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08548,M_f1p_c + M_h2o_c <=> M_fru_c + M_pi_c,R08548,R08548,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08558,M_chol_c + M_nadp_c <=> M_betald_c + M_h_c + M_nadph_c,R08558,R08558,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08583,M_cpd02616_c0 <=> M_cpd08707_c0 + M_nh4_c,R08583,R08583,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08657,M_glyc3p_c + M_q_c <=> M_dhap_c + M_qh2_c,R08657,R08657,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08696,M_frdp_c <=> M_cpd06559_c0 + M_h_c + M_ppi_c,R08696,R08696,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08713,M_acoa_c + M_cpd01404_c0 <=> M_coa_c + M_cpd17512_c0 + M_h_c,R08713,R08713,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08944,M_acACP_c + M_h_c + M_malon_c <=> M_ac_c + M_malACP_c,R08944,R08944,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08951,M_cpd00398_c0 + M_dmpp_c <=> M_cpd18006_c0 + M_h_c + M_ppi_c,R08951,R08951,1,,none,0,False,True,,0, +BIOMD0000001091,R_R08952,M_cpd18007_c0 + M_dmpp_c <=> M_cpd18036_c0 + M_h_c + M_ppi_c,R08952,R08952,1,,none,0,False,True,,0, +BIOMD0000001091,R_R10221,M_6pgc_c + M_nad_c <=> M_co2_c + M_nadh_c + M_ru5p__D_c,R10221,R10221,1,,none,0,False,True,,0, +BIOMD0000001091,R_RAFGH,M_h2o_c + M_raffin_c => M_gal_c + M_sucr_c,R01103;R06070,R01103,2,,none,0,False,True,,0, +BIOMD0000001091,R_RBFK,M_atp_c + M_ribflv_c <=> M_adp_c + M_fmn_c + M_h_c,R00549,R00549,1,,none,0,False,True,,0, +BIOMD0000001091,R_RBK_Dr,M_atp_c + M_rbl__D_c <=> M_adp_c + M_h_c + M_ru5p__D_c,R01526,R01526,1,,none,0,False,True,,0, +BIOMD0000001091,R_RBKr,M_atp_c + M_rib__D_c <=> M_adp_c + M_h_c + M_r5p_c,R01051,R01051,1,,none,0,False,True,,0, +BIOMD0000001091,R_RBZP,M_5prdmbz_c + M_h2o_c => M_pi_c + M_rdmbzi_c,R04594,R04594,1,,none,0,False,True,,0, +BIOMD0000001091,R_RIB1,M_gtp_c + 3 M_h2o_c => M_25drapp_c + M_for_c + 3 M_h_c + M_ppi_c,R00425,R00425,1,,none,0,False,True,,0, +BIOMD0000001091,R_RIB5,M_4r5au_c + M_db4p_c <=> M_dmlz_c + 2 M_h2o_c + M_h_c + M_pi_c,R04457,R04457,1,,none,0,False,True,,0, +BIOMD0000001091,R_RIB7_1,M_25drapp_c + M_h2o_c + M_h_c => M_5apru_c + M_nh4_c,R03459,R03459,1,,none,0,False,True,,0, +BIOMD0000001091,R_RIB7_2,M_5aprbu_c + M_nadp_c <=> M_5apru_c + M_h_c + M_nadph_c,R03458,R03458,1,,none,0,False,True,,0, +BIOMD0000001091,R_RIOR,M_pi_c + M_rnam_c <=> M_h_c + M_ncam_c + M_r1p_c,R02294,R02294,1,,none,0,False,True,,0, +BIOMD0000001091,R_RNDR1,M_adp_c + M_trdrd_c => M_dadp_c + M_h2o_c + M_trdox_c,R02017,R02017,1,,none,0,False,True,,0, +BIOMD0000001091,R_RNDR2n,M_gdp_c + M_trdrd_c => M_dgdp_c + M_h2o_c + M_trdox_c,R02019,R02019,1,,none,0,False,True,,0, +BIOMD0000001091,R_RNDR3,M_dcdp_c + M_h2o_c + M_trdox_c <=> M_cdp_c + M_trdrd_c,R02024,R02024,1,,none,0,False,True,,0, +BIOMD0000001091,R_RNDR4n,M_dudp_c + M_h2o_c + M_trdox_c <=> M_trdrd_c + M_udp_c,R02018,R02018,1,,none,0,False,True,,0, +BIOMD0000001091,R_RNMK,M_atp_c + M_rnam_c <=> M_adp_c + M_h_c + M_nmn_c,R02324,R02324,1,,none,0,False,True,,0, +BIOMD0000001091,R_RPE,M_ru5p__D_c <=> M_xu5p__D_c,R01529,R01529,1,,none,0,False,True,,0, +BIOMD0000001091,R_SAH1,M_ahcys_c + M_h2o_c <=> M_adn_c + M_hcys__L_c,R00192,R00192,1,,none,0,False,True,,0, +BIOMD0000001091,R_SALADC2,M_Lcyst_c + M_h_c <=> M_co2_c + M_taur_c,R01682,R01682,1,,none,0,False,True,,0, +BIOMD0000001091,R_SAM24MT,M_amet_c + M_zymst_c <=> M_ahcys_c + M_fecost_c + M_h_c,R04427,R04427,1,,none,0,False,True,,0, +BIOMD0000001091,R_SCT1_2,M_acoa_c + M_dhap_c <=> M_coa_c + M_cpd12300_c0,R01013,R01013,1,,none,0,False,True,,0, +BIOMD0000001091,R_SDH3_1,M_fad_c + M_h_c + M_succ_c <=> M_fadh2_c + M_fum_c,R00408,R00408,1,,none,0,False,True,,0, +BIOMD0000001091,R_SEC53,M_man6p_c <=> M_man1p_c,R01818,R01818,1,,none,0,False,True,,0, +BIOMD0000001091,R_SELCYSS,M_h_c + M_selnp_c + M_sertrna_sec_c <=> M_pi_c + M_sectrna_c,R08219,R08219,1,,none,0,False,True,,0, +BIOMD0000001091,R_SER1_2,M_akg_c + M_phthr_c <=> M_glu__L_c + M_ohpb_c,R05085,R05085,1,,none,0,False,True,,0, +BIOMD0000001091,R_SER3,M_3pg_c + M_nad_c <=> M_3php_c + M_h_c + M_nadh_c,R01513,R01513,1,,none,0,False,True,,0, +BIOMD0000001091,R_SERAT,M_accoa_c + M_ser__L_c => M_acser_c + M_coa_c,R00586,R00586,1,,none,0,False,True,,0, +BIOMD0000001091,R_SER_AL,M_ser__L_c => M_nh4_c + M_pyr_c,R00220,R00220,1,,none,0,False,True,,0, +BIOMD0000001091,R_SHCHD2,M_nad_c + M_pre2_c => 2 M_h_c + M_nadh_c + M_scl_c,R03947,R03947,1,,none,0,False,True,,0, +BIOMD0000001091,R_SHCHF,2 M_h_c + M_sheme_c <=> M_fe2_c + M_scl_c,R02864,R02864,1,,none,0,False,True,,0, +BIOMD0000001091,R_SHK3Dr,M_nadp_c + M_skm_c <=> M_3dhsk_c + M_h_c + M_nadph_c,R02413,R02413,1,,none,0,False,True,,0, +BIOMD0000001091,R_SHKK,M_atp_c + M_skm_c <=> M_adp_c + M_h_c + M_skm5p_c,R02412,R02412,1,,none,0,False,True,,0, +BIOMD0000001091,R_SHM1,M_gly_c + M_h2o_c + M_mlthf_c <=> M_ser__L_c + M_thf_c,R00945,R00945,1,,none,0,False,True,,0, +BIOMD0000001091,R_SHSL1r,M_cpd00424_c0 + M_h_c + M_succ_c <=> M_cys__L_c + M_suchms_c,R02508,R02508,1,,none,0,False,True,,0, +BIOMD0000001091,R_SHSL2,M_h2s_c + M_suchms_c => M_hcys__L_c + M_succ_c,R01288,R01288,1,,none,0,False,True,,0, +BIOMD0000001091,R_SODr,2 M_h_c + 2 M_o2s_c => M_h2o2_c + M_o2_c,R00275,R00275,1,,none,0,False,True,,0, +BIOMD0000001091,R_SPE2,M_amet_c + M_h_c => M_ametam_c + M_co2_c,R00178,R00178,1,,none,0,False,True,,0, +BIOMD0000001091,R_SPMS,M_ametam_c + M_ptrc_c => M_5mta_c + M_h_c + M_spmd_c,R01920,R01920,1,,none,0,False,True,,0, +BIOMD0000001091,R_SQLEer,M_h_c + M_nadph_c + M_o2_c + M_sql_c <=> M_Ssq23epx_c + M_h2o_c + M_nadp_c,R02874,R02874,1,,none,0,False,True,,0, +BIOMD0000001091,R_SUC2,M_h2o_c + M_sucr_c => M_fru_c + M_glc__D_c,R00801;R06087,R00801,2,,none,0,False,True,,0, +BIOMD0000001091,R_SUCBZL,M_atp_c + M_coa_c + M_sucbz_c => M_amp_c + M_h_c + M_ppi_c + M_sbzcoa_c,R04030,R04030,1,,none,0,False,True,,0, +BIOMD0000001091,R_SUCOAS,M_atp_c + M_coa_c + M_succ_c <=> M_adp_c + M_pi_c + M_succoa_c,R00405,R00405,1,,none,0,False,True,,0, +BIOMD0000001091,R_SULR,3 M_h2o_c + M_h2s_c + 3 M_nadp_c <=> 3 M_h_c + 3 M_nadph_c + M_so3_c,R00858,R00858,1,,none,0,False,True,,0, +BIOMD0000001091,R_TALA,M_g3p_c + M_s7p_c <=> M_e4p_c + M_f6p_c,R01827;R08575,R01827,2,,none,0,False,True,,0, +BIOMD0000001091,R_TARTDC,M_h_c + M_tartr__L_c => M_co2_c + M_glyc__R_c,R01751,R01751,1,,none,0,False,True,,0, +BIOMD0000001091,R_TARTRDH,M_nad_c + M_tartr__L_c <=> M_h_c + M_nadh_c + M_oxglyc_c,R06180,R06180,1,,none,0,False,True,,0, +BIOMD0000001091,R_TARTRDH2,M_nad_c + M_tartr__M_c <=> M_h_c + M_nadh_c + M_oxglyc_c,R02545,R02545,1,,none,0,False,True,,0, +BIOMD0000001091,R_TDP,M_h2o_c + M_thmpp_c <=> 2 M_h_c + M_pi_c + M_thmmp_c,R00615,R00615,1,,none,0,False,True,,0, +BIOMD0000001091,R_THFATm,M_h2o_c + M_methf_c <=> M_5fthf_c + M_h_c,R02300,R02300,1,,none,0,False,True,,0, +BIOMD0000001091,R_THFGLUS,M_atp_c + M_glu__L_c + M_thf_c => M_adp_c + M_h_c + M_pi_c + M_thfglu_c,R00942,R00942,1,,none,0,False,True,,0, +BIOMD0000001091,R_THI20_2,M_4ampm_c + M_atp_c + M_h_c <=> M_2mahmp_c + M_adp_c,R04509,R04509,1,,none,0,False,True,,0, +BIOMD0000001091,R_THI21,M_4ahmmp_c + M_atp_c <=> M_4ampm_c + M_adp_c + M_h_c,R03471,R03471,1,,none,0,False,True,,0, +BIOMD0000001091,R_THI6_2,M_2mahmp_c + M_4mpetz_c <=> M_ppi_c + M_thmmp_c,R03223,R03223,1,,none,0,False,True,,0, +BIOMD0000001091,R_THI80_1,M_atp_c + M_thm_c <=> M_amp_c + M_h_c + M_thmpp_c,R00619,R00619,1,,none,0,False,True,,0, +BIOMD0000001091,R_THR1,M_atp_c + M_hom__L_c <=> M_adp_c + M_h_c + M_phom_c,R01771,R01771,1,,none,0,False,True,,0, +BIOMD0000001091,R_THR4_1,M_h2o_c + M_phom_c => M_pi_c + M_thr__L_c,R01466,R01466,1,,none,0,False,True,,0, +BIOMD0000001091,R_THR4_2,M_h2o_c + M_phthr_c => M_4hthr_c + M_pi_c,R05086,R05086,1,,none,0,False,True,,0, +BIOMD0000001091,R_THRPD,M_h_c + M_thrp_c => M_applp_c + M_co2_c,R06530,R06530,1,,none,0,False,True,,0, +BIOMD0000001091,R_TKT1,M_g3p_c + M_s7p_c <=> M_r5p_c + M_xu5p__D_c,R01641,R01641,1,,none,0,False,True,,0, +BIOMD0000001091,R_TKT2,M_f6p_c + M_g3p_c <=> M_e4p_c + M_xu5p__D_c,R01067,R01067,1,,none,0,False,True,,0, +BIOMD0000001091,R_TMDPP,M_pi_c + M_thymd_c <=> M_2dr1p_c + M_thym_c,R01570,R01570,1,,none,0,False,True,,0, +BIOMD0000001091,R_TMN,M_h2o_c + M_thm_c => M_4ahmmp_c + M_4mhetz_c + M_h_c,R02133,R02133,1,,none,0,False,True,,0, +BIOMD0000001091,R_TPI,M_g3p_c <=> M_dhap_c,R01015,R01015,1,,none,0,False,True,,0, +BIOMD0000001091,R_TPRDCOAS,M_atp_c + M_dpcoa_c <=> M_2tpr3dpcoa_c + M_ade_c,R09675,R09675,1,,none,0,False,True,,0, +BIOMD0000001091,R_TRDR,M_h_c + M_nadph_c + M_trdox_c <=> M_nadp_c + M_trdrd_c,R02016,R02016,1,,none,0,False,True,,0, +BIOMD0000001091,R_TRE6PH,M_h2o_c + M_tre6p_c <=> M_g6p_c + M_glc__D_c,R00837;R06113,R00837,2,,none,0,False,True,,0, +BIOMD0000001091,R_TRIA,M_cgly_c + M_h2o_c <=> M_cys__L_c + M_gly_c,R00899,R00899,1,,none,0,False,True,,0, +BIOMD0000001091,R_TRP2_2,M_4hbz_c + M_pyr_c <=> M_chor_c,R01302,R01302,1,,none,0,False,True,,0, +BIOMD0000001091,R_TRPO2,M_o2_c + M_trp__L_c => M_Lfmkynr_c,R00678,R00678,1,,none,0,False,True,,0, +BIOMD0000001091,R_TRPS1r,M_3ig3p_c + M_ser__L_c => M_g3p_c + M_h2o_c + M_trp__L_c,R02722,R02722,1,,none,0,False,True,,0, +BIOMD0000001091,R_TRPS2,M_indole_c + M_ser__L_c => M_h2o_c + M_trp__L_c,R00674,R00674,1,,none,0,False,True,,0, +BIOMD0000001091,R_TRPS3r,M_3ig3p_c <=> M_g3p_c + M_indole_c,R02340,R02340,1,,none,0,False,True,,0, +BIOMD0000001091,R_TYR1,M_nadp_c + M_pphn_c => M_34hpp_c + M_co2_c + M_nadph_c,R01730,R01730,1,,none,0,False,True,,0, +BIOMD0000001091,R_U15,M_atp_c + M_duri_c <=> M_adp_c + M_dump_c + M_h_c,R02099,R02099,1,,none,0,False,True,,0, +BIOMD0000001091,R_U16,M_atp_c + M_thymd_c <=> M_adp_c + M_dtmp_c + M_h_c,R01567,R01567,1,,none,0,False,True,,0, +BIOMD0000001091,R_U17,M_atp_c + M_dcmp_c + M_h_c <=> M_adp_c + M_dcdp_c,R01665,R01665,1,,none,0,False,True,,0, +BIOMD0000001091,R_U18,M_atp_c + M_cmp_c + M_h_c <=> M_adp_c + M_cdp_c,R00512,R00512,1,,none,0,False,True,,0, +BIOMD0000001091,R_U19,M_atp_c + M_damp_c + M_h_c <=> M_adp_c + M_dadp_c,R01547,R01547,1,,none,0,False,True,,0, +BIOMD0000001091,R_U26,M_damp_c + M_h2o_c => M_dad_2_c + M_pi_c,R02088,R02088,1,,none,0,False,True,,0, +BIOMD0000001091,R_U31,M_gmp_c + M_h2o_c => M_gsn_c + M_pi_c,R01227,R01227,1,,none,0,False,True,,0, +BIOMD0000001091,R_U32,M_h2o_c + M_imp_c => M_ins_c + M_pi_c,R01126,R01126,1,,none,0,False,True,,0, +BIOMD0000001091,R_U33,M_h2o_c + M_xmp_c => M_pi_c + M_xtsn_c,R02719,R02719,1,,none,0,False,True,,0, +BIOMD0000001091,R_U52,M_nad_c + M_pphn_c => M_34hpp_c + M_co2_c + M_nadh_c,R01728,R01728,1,,none,0,False,True,,0, +BIOMD0000001091,R_U53,M_Lfmkynr_c + M_h2o_c <=> M_Lkynr_c + M_for_c + M_h_c,R01959,R01959,1,,none,0,False,True,,0, +BIOMD0000001091,R_U56,M_2oxoadp_c + M_nadp_c + M_nh4_c <=> M_amuco_c + M_h2o_c + 2 M_h_c + M_nadph_c,R01938,R01938,1,,none,0,False,True,,0, +BIOMD0000001091,R_U78,M_5aprbu_c + M_h2o_c => M_4r5au_c + M_pi_c,R07280,R07280,1,,none,0,False,True,,0, +BIOMD0000001091,R_U79,M_ru5p__D_c => M_db4p_c + M_for_c + M_h_c,R07281,R07281,1,,none,0,False,True,,0, +BIOMD0000001091,R_U82,M_atp_c + M_pydam_c <=> M_adp_c + M_h_c + M_pyam5p_c,R02493,R02493,1,,none,0,False,True,,0, +BIOMD0000001091,R_U83,M_atp_c + M_pydx_c <=> M_adp_c + M_h_c + M_pydx5p_c,R00174,R00174,1,,none,0,False,True,,0, +BIOMD0000001091,R_U89,M_atp_c + M_dhpt_c + M_glu__L_c => M_adp_c + M_dhf_c + M_h_c + M_pi_c,R02237,R02237,1,,none,0,False,True,,0, +BIOMD0000001091,R_U92,M_4ppan_c + M_ctp_c + M_cys__L_c => M_4ppcys_c + M_cmp_c + 2 M_h_c + M_ppi_c,R04231,R04231,1,,none,0,False,True,,0, +BIOMD0000001091,R_U98,M_asp__L_c + M_h_c => M_ala_B_c + M_co2_c,R00489,R00489,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAAGDS,M_26dap__M_c + M_atp_c + M_uamag_c => M_adp_c + M_h_c + M_pi_c + M_uggmd_c,R02788,R02788,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAAGLS1,M_atp_c + M_lys__L_c + M_uamag_c <=> M_adp_c + M_h_c + M_pi_c + M_uAgl_c,R02786,R02786,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAG2E,M_uacgam_c <=> M_uacmam_c,R00420,R00420,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAG2EMA,M_h2o_c + M_uacgam_c => M_acmana_c + M_udp_c,R00414,R00414,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAG4E,M_uacgam_c <=> M_udpacgal_c,R00418,R00418,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAGCVT,M_pep_c + M_uacgam_c <=> M_pi_c + M_uaccg_c,R00660,R00660,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAGDPr,M_acgam1p_c + M_utp_c <=> M_ppi_c + M_uacgam_c,R00416,R00416,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAGPT2,M_uaGgla_c + M_uacgam_c <=> M_uaaGgla_c + M_udp_c,R05662,R05662,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAMAGS,M_atp_c + M_glu__D_c + M_uama_c => M_adp_c + M_h_c + M_pi_c + M_uamag_c,R02783,R02783,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAMAS,M_ala__L_c + M_atp_c + M_uamr_c => M_adp_c + M_h_c + M_pi_c + M_uama_c,R03193,R03193,1,,none,0,False,True,,0, +BIOMD0000001091,R_UAPGR,M_nadp_c + M_uamr_c <=> M_h_c + M_nadph_c + M_uaccg_c,R03192,R03192,1,,none,0,False,True,,0, +BIOMD0000001091,R_UDCPDP,M_h2o_c + M_udcpdp_c => 2 M_h_c + M_pi_c + M_udcpp_c,R05627,R05627,1,,none,0,False,True,,0, +BIOMD0000001091,R_UDPGALM,M_udpgal_c <=> M_udpgalfur_c,R00505,R00505,1,,none,0,False,True,,0, +BIOMD0000001091,R_UDPGDi,M_h2o_c + 2 M_nad_c + M_udpg_c <=> 3 M_h_c + 2 M_nadh_c + M_udpglcur_c,R00286,R00286,1,,none,0,False,True,,0, +BIOMD0000001091,R_UGMDDS,M_atp_c + M_diala__L_c + M_uggmd_c => M_adp_c + M_h_c + M_pi_c + M_uggmda_c,R04617,R04617,1,,none,0,False,True,,0, +BIOMD0000001091,R_UNK3,M_2kmb_c + M_glu__L_c <=> M_akg_c + M_met__L_c,R07396,R07396,1,,none,0,False,True,,0, +BIOMD0000001091,R_UPP3S,M_hmbil_c <=> M_h2o_c + M_uppg3_c,R03165,R03165,1,,none,0,False,True,,0, +BIOMD0000001091,R_UPPDC1,4 M_h_c + M_uppg3_c <=> 4 M_co2_c + M_cpppg3_c,R03197,R03197,1,,none,0,False,True,,0, +BIOMD0000001091,R_UPPDC2,4 M_h_c + M_uppg1_c <=> 4 M_co2_c + M_cpppg1_c,R04972,R04972,1,,none,0,False,True,,0, +BIOMD0000001091,R_URA3,M_h_c + M_orot5p_c => M_co2_c + M_ump_c,R00965,R00965,1,,none,0,False,True,,0, +BIOMD0000001091,R_URA4,M_dhor__S_c + M_h2o_c <=> M_cbasp_c + M_h_c,R01993,R01993,1,,none,0,False,True,,0, +BIOMD0000001091,R_URA5,M_h_c + M_orot5p_c + M_ppi_c <=> M_orot_c + M_prpp_c,R01870,R01870,1,,none,0,False,True,,0, +BIOMD0000001091,R_URA6_1,M_atp_c + M_h_c + M_ump_c <=> M_adp_c + M_udp_c,R00158,R00158,1,,none,0,False,True,,0, +BIOMD0000001091,R_URA7_2,M_atp_c + M_nh4_c + M_utp_c <=> M_adp_c + M_ctp_c + 2 M_h_c + M_pi_c,R00571,R00571,1,,none,0,False,True,,0, +BIOMD0000001091,R_URA8_1,M_atp_c + M_gln__L_c + M_h2o_c + M_utp_c => M_adp_c + M_ctp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00573,R00573,1,,none,0,False,True,,0, +BIOMD0000001091,R_URCN,M_4izp_c + M_h_c <=> M_h2o_c + M_urcan_c,R02914,R02914,1,,none,0,False,True,,0, +BIOMD0000001091,R_UREA2,M_h2o_c + 2 M_h_c + M_urea_c => M_co2_c + 2 M_nh4_c,R00131,R00131,1,,none,0,False,True,,0, +BIOMD0000001091,R_URFGTT,M_2ombzl_c + M_amet_c => M_2ommbl_c + M_ahcys_c + M_h_c,R04990,R04990,1,,none,0,False,True,,0, +BIOMD0000001091,R_URIDK3,M_atp_c + M_dump_c + M_h_c <=> M_adp_c + M_dudp_c,R02098,R02098,1,,none,0,False,True,,0, +BIOMD0000001091,R_URIK2,M_gtp_c + M_uri_c <=> M_gdp_c + M_h_c + M_ump_c,R00968,R00968,1,,none,0,False,True,,0, +BIOMD0000001091,R_URIK3,M_itp_c + M_uri_c <=> M_h_c + M_idp_c + M_ump_c,R00970,R00970,1,,none,0,False,True,,0, +BIOMD0000001091,R_URK1_2,M_cytd_c + M_gtp_c <=> M_cmp_c + M_gdp_c + M_h_c,R00517,R00517,1,,none,0,False,True,,0, +BIOMD0000001091,R_URK1_3,M_atp_c + M_uri_c <=> M_adp_c + M_h_c + M_ump_c,R00964,R00964,1,,none,0,False,True,,0, +BIOMD0000001091,R_UTR1_1,M_atp_c + M_nad_c <=> M_adp_c + M_h_c + M_nadp_c,R00104,R00104,1,,none,0,False,True,,0, +BIOMD0000001091,R_XAND,M_h2o_c + M_nad_c + M_xan_c => M_h_c + M_nadh_c + M_urate_c,R02103,R02103,1,,none,0,False,True,,0, +BIOMD0000001091,R_XANDa,M_h2o_c + M_hxan_c + M_nad_c <=> M_h_c + M_nadh_c + M_xan_c,R01768,R01768,1,,none,0,False,True,,0, +BIOMD0000001091,R_XPPT,M_h_c + M_ppi_c + M_xmp_c <=> M_prpp_c + M_xan_c,R02142,R02142,1,,none,0,False,True,,0, +BIOMD0000001091,R_XYLI1,M_xyl__D_c => M_xylu__D_c,R01432,R01432,1,,none,0,False,True,,0, +BIOMD0000001091,R_XYLI2i,M_glc__D_c <=> M_fru_c,R00307,R00307,1,,none,0,False,True,,0, +BIOMD0000001091,R_YBR184W_2,M_h2o_c + M_melib_c <=> M_gal_c + M_glc__D_c,R01101;R06091,R01101,2,,none,0,False,True,,0, +BIOMD0000001091,R_YDR531W,M_atp_c + M_pnto__R_c <=> M_4ppan_c + M_adp_c + M_h_c,R03018,R03018,1,,none,0,False,True,,0, +BIOMD0000001091,R_YGR287C,M_h2o_c + M_malt_c => 2 M_glc__D_c,R00028;R06084,R00028,2,,none,0,False,True,,0, +BIOMD0000001091,R_YHL012W,M_g1p_c + M_utp_c <=> M_ppi_c + M_udpg_c,R00289,R00289,1,,none,0,False,True,,0, +BIOMD0000001091,R_YIL145C,M_ala_B_c + M_atp_c + M_pant__R_c => M_amp_c + 2 M_h_c + M_pnto__R_c + M_ppi_c,R02473,R02473,1,,none,0,False,True,,0, +BIOMD0000001091,R_YJR105W,M_adn_c + M_atp_c <=> M_adp_c + M_amp_c + M_h_c,R00185,R00185,1,,none,0,False,True,,0, +BIOMD0000001091,R_YLR328W_3,M_atp_c + M_nmn_c <=> M_nad_c + M_ppi_c,R00137,R00137,1,,none,0,False,True,,0, +BIOMD0000001091,R_YML082W,M_h2o_c + M_suchms_c => M_2obut_c + M_h_c + M_nh4_c + M_succ_c,R00999,R00999,1,,none,0,False,True,,0, +BIOMD0000001091,R_YMR293C,M_4gudbd_c + M_h2o_c => M_4gudbutn_c + M_nh4_c,R03180,R03180,1,,none,0,False,True,,0, +BIOMD0000001091,R_YNK1_1,M_atp_c + M_udp_c <=> M_adp_c + M_utp_c,R00156,R00156,1,,none,0,False,True,,0, +BIOMD0000001091,R_YNK1_2,M_atp_c + M_cdp_c <=> M_adp_c + M_ctp_c,R00570,R00570,1,,none,0,False,True,,0, +BIOMD0000001091,R_YNK1_6,M_atp_c + M_dtdp_c <=> M_adp_c + M_dttp_c,R02093,R02093,1,,none,0,False,True,,0, +BIOMD0000001091,R_YNK1_7,M_atp_c + M_dadp_c <=> M_adp_c + M_datp_c,R01137,R01137,1,,none,0,False,True,,0, +BIOMD0000001091,R_YPL276W,M_for_c + M_nad_c => M_co2_c + M_nadh_c,R00519,R00519,1,,none,0,False,True,,0, +BIOMD0000001091,R_or_NDC,M_h_c + M_orn__L_c => M_co2_c + M_ptrc_c,R00670,R00670,1,,none,0,False,True,,0, +BIOMD0000001092,R_ACALD,M_acald_c + M_coa_c + M_nad_c => M_accoa_c + M_h_c + M_nadh_c,R00228,R00228,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACCOAC,M_accoa_c + M_atp_c + M_hco3_c => M_adp_c + M_h_c + M_malcoa_c + M_pi_c,R00742,R00742,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACGK,M_acglu_c + M_atp_c => M_acg5p_c + M_adp_c,R02649,R02649,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACHBS,M_2obut_c + M_h_c + M_pyr_c => M_2ahbut_c + M_co2_c,R08648,R08648,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACKr,M_atp_c + M_ac_c <=> M_adp_c + M_actp_c,R00315,R00315,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACLS,M_h_c + 2 M_pyr_c => M_alac__S_c + M_co2_c,R00226,R00226,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACOATA,M_accoa_c + M_h2o_c => M_acetyl_c + M_coa_c,R01624,R01624,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACONT,M_cit_c <=> M_icit_c,R01324,R01324,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACOTA,M_acorn_c + M_akg_c <=> M_acg5sa_c + M_glu__L_c,R02283,R02283,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ACYP_2,M_actp_c + M_h2o_c => M_ac_c + M_h_c + M_pi_c,R00317,R00317,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADA,M_adn_c + M_h_c + M_h2o_c => M_ins_c + M_nh4_c,R01560,R01560,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADAPAT,M_glu__L_c + M_nal2a6o_c <=> M_akg_c + M_n6all26d_c,R04467,R04467,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADCL,M_4adcho_c => M_4abz_c + M_h_c + M_pyr_c,R05553,R05553,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADCS,M_chor_c + M_gln__L_c => M_4adcho_c + M_glu__L_c,R01716,R01716,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADK1,M_amp_c + M_atp_c <=> 2 M_adp_c,R00127,R00127,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADMDC,M_amet_c + M_h_c => M_ametam_c + M_co2_c,R00178,R00178,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADPT,M_ade_c + M_prpp_c => M_amp_c + M_ppi_c,R00190,R00190,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADSK,M_aps_c + M_atp_c => M_adp_c + M_h_c + M_paps_c,R00509,R00509,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADSL1r,M_dcamp_c <=> M_amp_c + M_fum_c,R01083,R01083,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADSL2r,M_25aics_c <=> M_aicar_c + M_fum_c,R04559,R04559,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ADSS,M_asp__L_c + M_gtp_c + M_imp_c => M_dcamp_c + M_gdp_c + 2 M_h_c + M_pi_c,R01135,R01135,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AGPR,M_acg5sa_c + M_nadp_c + M_pi_c <=> M_acg5p_c + M_h_c + M_nadph_c,R03443,R03443,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AHCYSNS,M_ahcys_c + M_h2o_c => M_ade_c + M_rhcys_c,R00194,R00194,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AHSERL2,M_h2s_c + M_achms_c => M_ac_c + M_hcys__L_c + M_h_c,R01287,R01287,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AICART,M_10fthf_c + M_aicar_c => M_fprica_c + M_thf_c,R04560,R04560,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AKGDH,M_akg_c + M_coa_c + M_nad_c => M_co2_c + M_nadh_c + M_succoa_c,R08549,R08549,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AKP1,M_ahdt_c + 3 M_h2o_c => M_dhnpt_c + 2 M_h_c + 3 M_pi_c,R04620,R04620,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ALAALAr,2 M_ala__D_c + M_atp_c <=> M_adp_c + M_alaala_c + M_h_c + M_pi_c,R01150,R01150,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ALAR,M_ala__L_c <=> M_ala__D_c,R00401,R00401,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ALCD19,M_glyald_c + M_h_c + M_nadh_c <=> M_glyc_c + M_nad_c,R01036,R01036,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ALKP,M_dhap_c + M_h2o_c => M_dha_c + M_pi_c,R01010,R01010,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AMAOTr,M_8aonn_c + M_amet_c <=> M_amob_c + M_dann_c,R03231,R03231,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AMPDAPT,M_ametam_c + M_13dampp_c <=> M_5mta_c + M_nspmd_c + M_h_c,R03271,R03271,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AMSPAT,M_ametam_c + M_nspmd_c <=> M_5mta_c + M_nsprm_c + M_h_c,R11088,R11088,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AMSPNAT,M_ametam_c + M_nsprm_c <=> M_5mta_c + M_cpam_c + M_h_c,R11089,R11089,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ANPRT,M_anth_c + M_prpp_c => M_ppi_c + M_pran_c,R01073,R01073,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ANS,M_chor_c + M_gln__L_c => M_anth_c + M_glu__L_c + M_h_c + M_pyr_c,R00986,R00986,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_AOXSr2,M_ala__L_c + M_pim_c + M_h_c => M_8aonn_c + M_co2_c + M_h2o_c,R10124,R10124,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_APRAUR,M_5apru_c + M_h_c + M_nadph_c => M_5aprbu_c + M_nadp_c,R03458,R03458,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ARGSL,M_argsuc_c <=> M_arg__L_c + M_fum_c,R01086,R01086,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ARGSS,M_asp__L_c + M_atp_c + M_citr__L_c => M_amp_c + M_argsuc_c + M_h_c + M_ppi_c,R01954,R01954,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASAD,M_aspsa_c + M_nadp_c + M_pi_c <=> M_4pasp_c + M_h_c + M_nadph_c,R02291,R02291,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASNS1,M_asp__L_c + M_atp_c + M_gln__L_c + M_h2o_c => M_amp_c + M_asn__L_c + M_glu__L_c + M_h_c + M_ppi_c,R00485,R00485,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASNS2,M_asp__L_c + M_atp_c + M_nh4_c => M_amp_c + M_asn__L_c + M_h_c + M_ppi_c,R00578,R00578,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASNabc,M_atp_c + M_h2o_c + M_asn__L_e => M_adp_c + M_asn__L_c + M_h_c + M_pi_c,R00483,R00483,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASP1DC,M_asp__L_c + M_h_c => M_ala_B_c + M_co2_c,R00489,R00489,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASPCT,M_asp__L_c + M_cbp_c => M_cbasp_c + M_h_c + M_pi_c,R01397,R01397,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASPK,M_asp__L_c + M_atp_c <=> M_4pasp_c + M_adp_c,R00480,R00480,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASPO2,M_asp__L_c + M_nad_c => 2 M_h_c + M_iasp_c + M_nadh_c,R07410,R07410,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASPT,M_asp__L_c <=> M_fum_c + M_nh4_c,R00490,R00490,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASPTA,M_akg_c + M_asp__L_c <=> M_glu__L_c + M_oaa_c,R00355,R00355,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASPTA6,M_ala__L_c + M_oaa_c <=> M_asp__L_c + M_pyr_c,R00400,R00400,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ASPabc,M_atp_c + M_h2o_c + M_asp__L_e => M_adp_c + M_asp__L_c + M_h_c + M_pi_c,R00483,R00483,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ATPM,M_atp_c + M_h2o_c => M_adp_c + M_pi_c + M_h_c,R00086,R00086,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ATPPRT,M_atp_c + M_prpp_c => M_ppi_c + M_prbatp_c,R01071,R01071,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_BGLA,M_h2o_c + M_cellb_c => 2 M_glc__D_c,R00306;R06104,R00306,2,,chebi,3393,False,True,,0, +BIOMD0000001092,R_BPNT,M_h2o_c + M_pap_c => M_amp_c + M_pi_c,R00188,R00188,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CBPS,2 M_atp_c + M_gln__L_c + M_h2o_c + M_hco3_c => 2 M_adp_c + M_cbp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00575,R00575,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CDPMEK,M_4c2me_c + M_atp_c => M_2p4c2me_c + M_adp_c + M_h_c,R05634,R05634,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CEPA,M_pi_c + M_cellb_c <=> M_g1p_c + M_glc__D_c,R00952;R06056,R00952,2,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CHORM,M_chor_c <=> M_pphn_c,R01715,R01715,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CHORS,M_3psme_c => M_chor_c + M_pi_c,R01714,R01714,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CS,M_accoa_c + M_h2o_c + M_oaa_c => M_cit_c + M_coa_c + M_h_c,R00351,R00351,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CTPS2,M_atp_c + M_gln__L_c + M_h2o_c + M_utp_c => M_adp_c + M_ctp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00573,R00573,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CYSS,M_acser_c + M_h2s_c => M_ac_c + M_cys__L_c + M_h_c,R00897,R00897,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CYSTL,M_cyst__L_c + M_h2o_c => M_hcys__L_c + M_nh4_c + M_pyr_c,R01286,R01286,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CYTD,M_cytd_c + M_h_c + M_h2o_c => M_nh4_c + M_uri_c,R01878,R01878,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CYTDK2,M_cytd_c + M_gtp_c => M_cmp_c + M_gdp_c + M_h_c,R00517,R00517,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CYTK1,M_atp_c + M_cmp_c <=> M_adp_c + M_cdp_c,R00512,R00512,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_CYTK2,M_atp_c + M_dcmp_c <=> M_adp_c + M_dcdp_c,R01665,R01665,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DABAAT,M_akg_c + M_h_c + M_24dab_c <=> M_aspsa_c + M_glu__L_c,R06977,R06977,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DABC,M_24dab_c + 2 M_h_c <=> M_13dampp_c + M_co2_c,R07650,R07650,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DAPDA,M_h2o_c + M_n6all26d_c <=> M_26dap_LL_c + M_ac_c,R02733,R02733,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DAPDC,M_26dap__M_c + M_h_c => M_co2_c + M_lys__L_c,R00451,R00451,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DAPE,M_26dap_LL_c <=> M_26dap__M_c,R02735,R02735,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DB4PS,M_ru5p__D_c => M_db4p_c + M_for_c + M_h_c,R07281,R07281,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DBTS,M_atp_c + M_co2_c + M_dann_c => M_adp_c + M_dtbt_c + 3 M_h_c + M_pi_c,R03182,R03182,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DCMPDA,M_dcmp_c + M_h_c + M_h2o_c <=> M_dump_c + M_nh4_c,R01663,R01663,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DCYTD,M_dcyt_c + M_h_c + M_h2o_c => M_duri_c + M_nh4_c,R02485,R02485,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DDGLK,M_2ddglcn_c + M_atp_c <=> M_2ddg6p_c + M_adp_c + M_h_c,R01541,R01541,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DDPA,M_e4p_c + M_h2o_c + M_pep_c => M_2dda7p_c + M_pi_c,R01826,R01826,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DHAD1,M_23dhmb_c => M_3mob_c + M_h2o_c,R04441,R04441,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DHAD2,M_23dhmp_c => M_3mop_c + M_h2o_c,R05070,R05070,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DHFR,M_dhf_c + M_h_c + M_nadph_c <=> M_nadp_c + M_thf_c,R00939,R00939,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DHFS,M_atp_c + M_dhpt_c + M_glu__L_c => M_adp_c + M_dhf_c + M_h_c + M_pi_c,R02237,R02237,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DHORD_NAD,M_dhor__S_c + M_nad_c <=> M_nadh_c + M_orot_c + M_h_c,R01869,R01869,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DHORTS,M_dhor__S_c + M_h2o_c <=> M_cbasp_c + M_h_c,R01993,R01993,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DHQS,M_2dda7p_c => M_3dhq_c + M_pi_c,R03083,R03083,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DHQTi,M_3dhq_c <=> M_3dhsk_c + M_h2o_c,R03084,R03084,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DMATT,M_dmpp_c + M_ipdp_c => M_grdp_c + M_ppi_c,R01658,R01658,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DNMPPA,M_dhpmp_c + M_h2o_c => M_dhnpt_c + M_pi_c,R04621,R04621,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DNTPPA,M_ahdt_c + M_h2o_c => M_dhpmp_c + M_h_c + M_ppi_c,R04638,R04638,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DPCOAK,M_atp_c + M_dpcoa_c => M_adp_c + M_coa_c + M_h_c,R00130,R00130,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DPR,M_2dhp_c + M_h_c + M_nadph_c => M_nadp_c + M_pant__R_c,R02472,R02472,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DP_octe_9,M_ocdca_c => M_h_c + M_octe_9_c,R10118,R10118,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DRPA,M_2dr5p_c <=> M_acald_c + M_g3p_c,R01066,R01066,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DTMPK,M_atp_c + M_dtmp_c <=> M_adp_c + M_dtdp_c,R02094,R02094,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DURIK1,M_atp_c + M_duri_c => M_adp_c + M_dump_c + M_h_c,R02099,R02099,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DUTPDP,M_dutp_c + M_h2o_c => M_dump_c + M_h_c + M_ppi_c,R02100,R02100,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DXPRIi,M_dxyl5p_c + M_h_c + M_nadph_c <=> M_2me4p_c + M_nadp_c,R05688,R05688,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_DXPS,M_g3p_c + M_h_c + M_pyr_c => M_co2_c + M_dxyl5p_c,R05636,R05636,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_EDA,M_2ddg6p_c <=> M_g3p_c + M_pyr_c,R05605,R05605,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_EDD,M_6pgc_c => M_2ddg6p_c + M_h2o_c,R02036,R02036,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_EGMER,M_egme_c + M_h_c + M_nadph_c => M_gme_c + M_nadp_c,R10122,R10122,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ENO,M_2pg_c <=> M_h2o_c + M_pep_c,R00658,R00658,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_EPMER,M_epme_c + M_h_c + M_nadph_c => M_nadp_c + M_pme_c,R10122,R10122,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_FBA,M_fdp_c <=> M_dhap_c + M_g3p_c,R01068,R01068,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_FBA2,M_f1p_c <=> M_dhap_c + M_glyald_c,R02568,R02568,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_FMNAT,M_atp_c + M_fmn_c + M_h_c => M_fad_c + M_ppi_c,R00161,R00161,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_FTHFLi,M_atp_c + M_for_c + M_thf_c <=> M_10fthf_c + M_adp_c + M_pi_c,R00943,R00943,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_FUM,M_fum_c + M_h2o_c <=> M_mal__L_c,R01082,R01082,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_G3PD1ir,M_dhap_c + M_h_c + M_nadh_c <=> M_glyc3p_c + M_nad_c,R00842,R00842,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_G5SADs,M_glu5sa_c <=> M_1pyr5c_c + M_h_c + M_h2o_c,R03314,R03314,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_G5SD,M_glu5p_c + M_h_c + M_nadph_c => M_glu5sa_c + M_nadp_c + M_pi_c,R03313,R03313,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_G6PDA,M_gam6p_c + M_h2o_c => M_f6p_c + M_nh4_c,R00765,R00765,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_G6PDH2r,M_nadp_c + M_g6p_c => M_h_c + M_nadph_c + M_6pgl_c,R00835,R00835,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GALKr,M_atp_c + M_gal_c => M_adp_c + M_gal1p_c + M_h_c,R01092,R01092,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GALT,M_gal1p_c + M_h_c + M_utp_c <=> M_ppi_c + M_udpgal_c,R00502,R00502,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GALUi,M_g1p_c + M_h_c + M_utp_c <=> M_ppi_c + M_udpg_c,R00289,R00289,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GAPD,M_pi_c + M_nad_c + M_g3p_c <=> M_h_c + M_nadh_c + M_13dpg_c,R01061,R01061,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GARFT,M_10fthf_c + M_gar_c => M_fgam_c + M_h_c + M_thf_c,R04325,R04325,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GDH1,M_glu__L_c + M_h2o_c + M_nad_c <=> M_akg_c + 2 M_h_c + M_nadh_c + M_nh3_c,R00243,R00243,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GHMT2r,M_ser__L_c + M_thf_c <=> M_gly__L_c + M_h2o_c + M_mlthf_c,R00945,R00945,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GK1,M_atp_c + M_gmp_c <=> M_adp_c + M_gdp_c,R00332,R00332,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLGC,M_atp_c + M_g1p_c + M_h_c => M_adpglc_c + M_ppi_c,R00948,R00948,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLNS,M_atp_c + M_glu__L_c + M_nh4_c => M_adp_c + M_gln__L_c + M_h_c + M_pi_c,R00253,R00253,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLU5K,M_atp_c + M_glu__L_c => M_adp_c + M_glu5p_c,R00239,R00239,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLUCYS,M_atp_c + M_cys__L_c + M_glu__L_c => M_adp_c + M_glucys_c + M_h_c + M_pi_c,R00894,R00894,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLUDxi,M_glu__L_c + M_h2o_c + M_nad_c <=> M_akg_c + M_h_c + M_nadh_c + M_nh4_c,R00243,R00243,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLUDy,M_glu__L_c + M_h2o_c + M_nadp_c <=> M_akg_c + M_h_c + M_nadph_c + M_nh4_c,R00248,R00248,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLUN,M_gln__L_c + M_h2o_c => M_glu__L_c + M_nh4_c,R00256,R00256,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLUPRT,M_gln__L_c + M_h2o_c + M_prpp_c => M_glu__L_c + M_ppi_c + M_pram_c,R01072,R01072,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLUR,M_glu__D_c <=> M_glu__L_c,R00260,R00260,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLUSy,M_akg_c + M_gln__L_c + M_h_c + M_nadph_c => 2 M_glu__L_c + M_nadp_c,R00114,R00114,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLYCDx,M_glyc_c + M_nad_c <=> M_dha_c + M_h_c + M_nadh_c,R01034,R01034,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLYCK2,M_atp_c + M_glyc__R_c => M_2pg_c + M_adp_c + M_h_c,R08572,R08572,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLYCL,M_gly__L_c + M_nad_c + M_thf_c => M_co2_c + M_mlthf_c + M_nadh_c + M_nh4_c,R01221,R01221,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLYCL_2,M_co2_c + M_mlthf_c + M_nadh_c + M_nh4_c => M_gly__L_c + M_nad_c + M_thf_c,R01221,R01221,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GLYK,M_atp_c + M_glyc_c => M_adp_c + M_glyc3p_c + M_h_c,R00847,R00847,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GMPS2,M_atp_c + M_gln__L_c + M_h2o_c + M_xmp_c => M_amp_c + M_glu__L_c + M_gmp_c + 2 M_h_c + M_ppi_c,R01231,R01231,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GND,M_nadp_c + M_6pgc_c => M_co2_c + M_nadph_c + M_ru5p__D_c,R01528,R01528,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GRTT,M_grdp_c + M_ipdp_c => M_frdp_c + M_ppi_c,R02003,R02003,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GTHS,M_atp_c + M_glucys_c + M_gly__L_c => M_adp_c + M_gthrd_c + M_h_c + M_pi_c,R01230,R01230,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GTPCI,M_gtp_c + M_h2o_c => M_ahdt_c + M_for_c + M_h_c,R00424,R00424,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GUAPRT,M_gua_c + M_prpp_c => M_gmp_c + M_ppi_c,R01229,R01229,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_GUI1,M_glcur_c <=> M_fruur_c,R01482,R01482,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_Glycogent,M_glycogen_e => M_glycogen_c,R00497,R00497,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HCO3E,M_co2_c + M_h2o_c <=> M_h_c + M_hco3_c,R00132;R10092,R00132,2,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HEX1,M_atp_c + M_glc__D_c => M_adp_c + M_g6p_c + M_h_c,R00299,R00299,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HEX4,M_atp_c + M_man_c => M_adp_c + M_h_c + M_man6p_c,R01326,R01326,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HEX7,M_atp_c + M_fru_c => M_adp_c + M_f6p_c + M_h_c,R00867,R00867,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HISTD,M_h2o_c + M_histd_c + 2 M_nad_c => 3 M_h_c + M_his__L_c + 2 M_nadh_c,R01158,R01158,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HISTP,M_h2o_c + M_hisp_c => M_histd_c + M_pi_c,R03013,R03013,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HPYRRx,M_h_c + M_hpyr_c + M_nadh_c <=> M_glyc__R_c + M_nad_c,R01388,R01388,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HSDy,M_hom__L_c + M_nadp_c <=> M_aspsa_c + M_h_c + M_nadph_c,R01775,R01775,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HSERTA,M_accoa_c + M_hom__L_c <=> M_coa_c + M_achms_c,R01776,R01776,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HSK,M_atp_c + M_hom__L_c => M_adp_c + M_h_c + M_phom_c,R01771,R01771,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HSTPT,M_glu__L_c + M_imacp_c <=> M_akg_c + M_hisp_c,R03243,R03243,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_HXPRT,M_hxan_c + M_prpp_c => M_imp_c + M_ppi_c,R01132,R01132,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ICDHyr,M_icit_c + M_nadp_c <=> M_akg_c + M_co2_c + M_nadph_c,R00267,R00267,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IG3PS,M_gln__L_c + M_prlp_c => M_aicar_c + M_eig3p_c + M_glu__L_c + M_h_c,R04558,R04558,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IGPDH,M_eig3p_c => M_h2o_c + M_imacp_c,R03457,R03457,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IGPS,M_2cpr5p_c + M_h_c => M_3ig3p_c + M_co2_c + M_h2o_c,R03508,R03508,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ILETA,M_akg_c + M_ile__L_c <=> M_3mop_c + M_glu__L_c,R02199,R02199,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IMPC,M_h2o_c + M_imp_c <=> M_fprica_c,R01127,R01127,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IMPD,M_h2o_c + M_imp_c + M_nad_c => M_h_c + M_nadh_c + M_xmp_c,R01130,R01130,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IPDDI,M_ipdp_c <=> M_dmpp_c,R01123,R01123,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IPMD,M_3c2hmp_c + M_nad_c <=> M_3c4mop_c + M_h_c + M_nadh_c,R04426,R04426,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IPPMIa,M_3c2hmp_c <=> M_2ippm_c + M_h2o_c,R04001,R04001,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IPPMIb,M_2ippm_c + M_h2o_c <=> M_3c3hmp_c,R03968,R03968,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_IPPS,M_3mob_c + M_accoa_c + M_h2o_c => M_3c3hmp_c + M_coa_c + M_h_c,R01213,R01213,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_KARA1,M_23dhmb_c + M_nadp_c <=> M_alac__S_c + M_h_c + M_nadph_c,R04439,R04439,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_KAS14,M_acetyl_c + M_mal_c => M_act_c + M_co2_c,R04355,R04355,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_LACZ,M_h2o_c + M_lcts_c => M_gal_c + M_glc__D_c,R01100;R06114,R01100,2,,chebi,3393,False,True,,0, +BIOMD0000001092,R_LCADi,M_h2o_c + M_lald__L_c + M_nad_c <=> 2 M_h_c + M_lac__L_c + M_nadh_c,R01446,R01446,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_LDH_L,M_nad_c + M_lac__L_c <=> M_h_c + M_nadh_c + M_pyr_c,R00703,R00703,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_LEUTA,M_akg_c + M_leu__L_c <=> M_4mop_c + M_glu__L_c,R01090,R01090,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_LYSDC,M_h_c + M_lys__L_c => M_15dap_c + M_co2_c,R00462,R00462,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MALT,M_h2o_c + M_malt_c => 2 M_glc__D_c,R00028,R00028,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MAN6PI,M_man6p_c <=> M_f6p_c,R01819,R01819,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MANAO,M_mana_c + M_nad_c <=> M_fruur_c + M_h_c + M_nadh_c,R02454,R02454,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MCOATA,M_malcoa_c <=> M_coa_c + M_mal_c,R01626,R01626,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MDH,M_mal__L_c + M_nad_c <=> M_h_c + M_nadh_c + M_oaa_c,R00342,R00342,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ME1,M_mal__L_c + M_nad_c => M_co2_c + M_nadh_c + M_pyr_c,R00214,R00214,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MECDPS,M_2p4c2me_c => M_2mecdp_c + M_cmp_c,R05637,R05637,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MEPCT,M_2me4p_c + M_ctp_c + M_h_c => M_4c2me_c + M_ppi_c,R05633,R05633,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_METAT,M_atp_c + M_h2o_c + M_met__L_c => M_amet_c + M_pi_c + M_ppi_c,R00177,R00177,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_METB1,M_cys__L_c + M_achms_c <=> M_ac_c + M_cyst__L_c + M_h_c,R03217,R03217,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_METS,M_5mthf_c + M_hcys__L_c => M_h_c + M_met__L_c + M_thf_c,R00946,R00946,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MNLDH2,M_nad_c + M_mnl_c => M_fru_c + M_h_c + M_nadh_c,R00868,R00868,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MNLDHr,M_nad_c + M_mnl_c <=> M_h_c + M_man_c + M_nadh_c,R07135,R07135,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MNNH,M_mana_c <=> M_2ddglcn_c + M_h2o_c,R05606,R05606,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MOHMT,M_3mob_c + M_h2o_c + M_mlthf_c => M_2dhp_c + M_thf_c,R01226,R01226,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MTHFC,M_h2o_c + M_methf_c <=> M_10fthf_c + M_h_c,R01655,R01655,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MTHFD,M_mlthf_c + M_nadp_c <=> M_methf_c + M_nadph_c,R01220,R01220,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_MTHFR2,2 M_h_c + M_mlthf_c + M_nadh_c <=> M_5mthf_c + M_nad_c,R07168,R07168,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NADK,M_atp_c + M_nad_c => M_adp_c + M_h_c + M_nadp_c,R00104,R00104,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NADS1,M_atp_c + M_dnad_c + M_nh4_c => M_amp_c + M_h_c + M_nad_c + M_ppi_c,R00189,R00189,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NAMNPP,M_atp_c + M_h2o_c + M_nac_c + M_prpp_c => M_adp_c + M_nicrnt_c + M_pi_c + M_ppi_c,R01724,R01724,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NDPK1,M_atp_c + M_gdp_c <=> M_adp_c + M_gtp_c,R00330,R00330,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NDPK2,M_atp_c + M_udp_c <=> M_adp_c + M_utp_c,R00156,R00156,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NDPK3,M_atp_c + M_cdp_c <=> M_adp_c + M_ctp_c,R00570,R00570,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NDPK4,M_atp_c + M_dtdp_c <=> M_adp_c + M_dttp_c,R02093,R02093,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NDPK5,M_atp_c + M_dgdp_c <=> M_adp_c + M_dgtp_c,R01857,R01857,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NDPK7,M_atp_c + M_dcdp_c <=> M_adp_c + M_dctp_c,R02326,R02326,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NDPK8,M_atp_c + M_dadp_c <=> M_adp_c + M_datp_c,R01137,R01137,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NMNAT,M_atp_c + M_h_c + M_nmn_c <=> M_nad_c + M_ppi_c,R00137,R00137,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NMNHYD,M_h2o_c + M_nmn_c => M_pi_c + M_rnam_c,R02323,R02323,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NNAM,M_h2o_c + M_ncam_c => M_nac_c + M_nh4_c,R01268,R01268,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NNATr,M_atp_c + M_h_c + M_nicrnt_c <=> M_dnad_c + M_ppi_c,R03005,R03005,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NNDPR,2 M_h_c + M_prpp_c + M_quln_c => M_co2_c + M_nicrnt_c + M_ppi_c,R03348,R03348,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NNOR,M_nad_c + M_nadph_c <=> M_nadh_c + M_nadp_c,R00112,R00112,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NP1,M_h_c + M_nac_c + M_r1p_c <=> M_pi_c + M_nicrns_c,R02295,R02295,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NT5C,M_h2o_c + M_nicrnt_c => M_pi_c + M_nicrns_c,R03346,R03346,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD1,M_dump_c + M_h2o_c => M_duri_c + M_pi_c,R02102,R02102,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD10,M_h2o_c + M_xmp_c => M_pi_c + M_xtsn_c,R02719,R02719,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD11,M_h2o_c + M_imp_c => M_ins_c + M_pi_c,R01126,R01126,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD2,M_h2o_c + M_ump_c => M_pi_c + M_uri_c,R00963,R00963,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD3,M_dcmp_c + M_h2o_c => M_dcyt_c + M_pi_c,R01664,R01664,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD4,M_cmp_c + M_h2o_c => M_cytd_c + M_pi_c,R00511,R00511,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD5,M_dtmp_c + M_h2o_c => M_pi_c + M_thymd_c,R01569,R01569,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD6,M_damp_c + M_h2o_c => M_dad_2_c + M_pi_c,R02088,R02088,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD7,M_amp_c + M_h2o_c => M_adn_c + M_pi_c,R00183,R00183,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD8,M_dgmp_c + M_h2o_c => M_dgsn_c + M_pi_c,R01968,R01968,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTD9,M_gmp_c + M_h2o_c => M_gsn_c + M_pi_c,R01227,R01227,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTPP1,M_dgtp_c + M_h2o_c => M_dgmp_c + M_h_c + M_ppi_c,R01855,R01855,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTPP2,M_gtp_c + M_h2o_c => M_gmp_c + M_h_c + M_ppi_c,R00426,R00426,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTPP3,M_dctp_c + M_h2o_c => M_dcmp_c + M_h_c + M_ppi_c,R01668,R01668,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTPP4,M_ctp_c + M_h2o_c => M_cmp_c + M_h_c + M_ppi_c,R00515,R00515,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTPP6,M_atp_c + M_h2o_c => M_amp_c + M_h_c + M_ppi_c,R00087,R00087,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTPP7,M_dttp_c + M_h2o_c => M_dtmp_c + M_h_c + M_ppi_c,R11323,R11323,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_NTPP8,M_h2o_c + M_utp_c => M_h_c + M_ppi_c + M_ump_c,R00662,R00662,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_OAADC,M_h_c + M_oaa_c => M_co2_c + M_pyr_c,R00217,R00217,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_OCBT,M_cbp_c + M_orn_c <=> M_citr__L_c + M_h_c + M_pi_c,R01398,R01398,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_OGMES,M_h2o_c + M_mal_c + M_malcoame_c => M_co2_c + M_coa_c + M_ogme_c,R10121,R10121,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_OMCDC,M_3c4mop_c + M_h_c => M_4mop_c + M_co2_c,R01652,R01652,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_OMPDC,M_h_c + M_orot5p_c => M_co2_c + M_ump_c,R00965,R00965,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ORNDC,M_h_c + M_orn_c => M_co2_c + M_ptrc_c,R00670,R00670,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ORNTA,M_akg_c + M_orn_c => M_glu__L_c + M_glu5sa_c,R00667,R00667,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ORNTAC,M_acorn_c + M_glu__L_c <=> M_acglu_c + M_orn_c,R02282,R02282,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_ORPT,M_orot5p_c + M_ppi_c <=> M_orot_c + M_prpp_c,R01870,R01870,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_OXADC,M_h_c + M_oxa_c => M_co2_c + M_for_c,R00522,R00522,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_P5CR,M_1pyr5c_c + 2 M_h_c + M_nadph_c <=> M_nadp_c + M_pro__L_c,R01251,R01251,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PANTS,M_ala_B_c + M_atp_c + M_pant__R_c => M_amp_c + M_h_c + M_pnto__R_c + M_ppi_c,R02473,R02473,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PAPSR,M_paps_c + M_trdrd_c => 2 M_h_c + M_pap_c + M_so3_c + M_trdox_c,R02021,R02021,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PC,M_atp_c + M_hco3_c + M_pyr_c => M_adp_c + M_h_c + M_oaa_c + M_pi_c,R00344,R00344,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PGAMT,M_gam6p_c => M_gam1p_c,R02060,R02060,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PGK,M_atp_c + M_3pg_c <=> M_adp_c + M_13dpg_c,R01512,R01512,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PGL,M_h2o_c + M_6pgl_c => M_h_c + M_6pgc_c,R02035,R02035,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PGM,M_2pg_c <=> M_3pg_c,R01518,R01518,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PGMT,M_g1p_c <=> M_g6p_c,R08639,R08639,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PHETA1,M_akg_c + M_phe__L_c <=> M_glu__L_c + M_phpyr_c,R00694,R00694,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PLS_RQ7,100 M_glycogen_c => 100 M_pls_RQ7_c,R09725,R09725,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PMDPHT,M_5aprbu_c + M_h2o_c => M_4r5au_c + M_pi_c,R07280,R07280,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PNP,M_pi_c + M_rnam_c <=> M_h_c + M_ncam_c + M_r1p_c,R02294,R02294,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PNTK,M_atp_c + M_pnto__R_c => M_4ppan_c + M_adp_c + M_h_c,R03018,R03018,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PPA,M_h2o_c + M_ppi_c => M_h_c + 2 M_pi_c,R00004,R00004,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PPCDC,M_4ppcys_c + M_h_c => M_co2_c + M_pan4p_c,R03269,R03269,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PPDK,M_atp_c + M_pi_c + M_pyr_c => M_amp_c + M_h_c + M_pep_c + M_ppi_c,R00206,R00206,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PPM2,M_2dr1p_c <=> M_2dr5p_c,R02749,R02749,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PPNCL2,M_4ppan_c + M_ctp_c + M_cys__L_c => M_4ppcys_c + M_cmp_c + M_h_c + M_ppi_c,R04231,R04231,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PPND,M_nad_c + M_pphn_c => M_34hpp_c + M_co2_c + M_nadh_c,R01728,R01728,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PPNDH,M_h_c + M_pphn_c => M_co2_c + M_h2o_c + M_phpyr_c,R01373,R01373,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PRAGSr,M_atp_c + M_gly__L_c + M_pram_c => M_adp_c + M_gar_c + M_h_c + M_pi_c,R04144,R04144,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PRAIi,M_pran_c <=> M_2cpr5p_c,R03509,R03509,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PRAMPC,M_h2o_c + M_prbamp_c => M_prfp_c,R04037,R04037,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PRASCSi,M_5aizc_c + M_asp__L_c + M_atp_c <=> M_25aics_c + M_adp_c + M_h_c + M_pi_c,R04591,R04591,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PRATPP,M_h2o_c + M_prbatp_c => M_h_c + M_ppi_c + M_prbamp_c,R04035,R04035,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PRMICI,M_prfp_c => M_prlp_c,R04640,R04640,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PSCVT,M_pep_c + M_skm5p_c <=> M_3psme_c + M_pi_c,R03460,R03460,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PTAr,M_accoa_c + M_pi_c <=> M_actp_c + M_coa_c,R00230,R00230,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PTPATi,M_atp_c + M_h_c + M_pan4p_c <=> M_dpcoa_c + M_ppi_c,R03035,R03035,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PUNP1,M_adn_c + M_pi_c <=> M_ade_c + M_r1p_c,R01561,R01561,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PUNP2,M_dad_2_c + M_pi_c <=> M_2dr1p_c + M_ade_c,R02557,R02557,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PUNP3,M_gsn_c + M_pi_c <=> M_gua_c + M_r1p_c,R02147,R02147,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PUNP4,M_dgsn_c + M_pi_c <=> M_2dr1p_c + M_gua_c,R01969,R01969,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PUNP5,M_ins_c + M_pi_c <=> M_hxan_c + M_r1p_c,R01863,R01863,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PYK,M_h_c + M_adp_c + M_pep_c => M_atp_c + M_pyr_c,R00200,R00200,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_PYNP1,M_csn_c + M_r1p_c => M_cytd_c + M_pi_c,R02296,R02296,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_QULNS,M_dhap_c + M_iasp_c => 2 M_h2o_c + M_pi_c + M_quln_c,R04292,R04292,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RBFK,M_atp_c + M_ribflv_c => M_adp_c + M_fmn_c + M_h_c,R00549,R00549,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RBFSa,M_4r5au_c + M_db4p_c => M_dmlz_c + 2 M_h2o_c + M_pi_c,R04457,R04457,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RBFSb,2 M_dmlz_c => M_4r5au_c + M_ribflv_c,R00066,R00066,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RBK_L1,M_atp_c + M_rbl__L_c <=> M_adp_c + M_h_c + M_ru5p__L_c,R02439,R02439,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RBP4E,M_ru5p__L_c <=> M_xu5p__D_c,R05850,R05850,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RMI,M_rmn_c <=> M_rml_c,R02437,R02437,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RMK,M_atp_c + M_rml_c => M_adp_c + M_h_c + M_rml1p_c,R03014,R03014,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RMPA,M_rml1p_c <=> M_dhap_c + M_lald__L_c,R02263,R02263,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RNDR1,M_adp_c + M_trdrd_c => M_dadp_c + M_h2o_c + M_trdox_c,R02017,R02017,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RNDR2,M_gdp_c + M_trdrd_c => M_dgdp_c + M_h2o_c + M_trdox_c,R02019,R02019,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RNDR3,M_cdp_c + M_trdrd_c => M_dcdp_c + M_h2o_c + M_trdox_c,R02024,R02024,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RNDR4,M_trdrd_c + M_udp_c => M_dudp_c + M_h2o_c + M_trdox_c,R02018,R02018,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RNTR1,M_atp_c + M_trdrd_c => M_datp_c + M_h2o_c + M_trdox_c,R02014,R02014,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RNTR2,M_gtp_c + M_trdrd_c => M_dgtp_c + M_h2o_c + M_trdox_c,R02020,R02020,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RNTR3,M_ctp_c + M_trdrd_c => M_dctp_c + M_h2o_c + M_trdox_c,R02022,R02022,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RNTR4,M_trdrd_c + M_utp_c => M_dutp_c + M_h2o_c + M_trdox_c,R02023,R02023,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_RPE,M_ru5p__D_c <=> M_xu5p__D_c,R01529,R01529,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SADT,M_atp_c + M_h_c + M_so4_c => M_aps_c + M_ppi_c,R00529,R00529,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SERAT,M_accoa_c + M_ser__L_c <=> M_acser_c + M_coa_c,R00586,R00586,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SERD_L,M_ser__L_c <=> M_nh4_c + M_pyr_c,R00220;R00223,R00220,2,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SHK3Dr,M_3dhsk_c + M_h_c + M_nadph_c <=> M_nadp_c + M_skm_c,R02413,R02413,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SHKK,M_atp_c + M_skm_c => M_adp_c + M_h_c + M_skm5p_c,R02412,R02412,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SHSL1,M_cys__L_c + M_suchms_c => M_cyst__L_c + M_h_c + M_succ_c,R03260,R03260,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SHSL2r,M_h2s_c + M_suchms_c <=> M_h_c + M_hcys__L_c + M_succ_c,R01288,R01288,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SHSL4r,M_h2o_c + M_suchms_c <=> M_2obut_c + M_h_c + M_nh4_c + M_succ_c,R00999,R00999,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SPMS,M_ametam_c + M_ptrc_c => M_5mta_c + M_h_c + M_spmd_c,R01920,R01920,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SPRMS,M_ametam_c + M_spmd_c => M_5mta_c + M_h_c + M_sprm_c,R02869,R02869,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SPTc,M_pyr_c + M_ser__L_c <=> M_ala__L_c + M_hpyr_c,R00585,R00585,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SUCR,M_h2o_c + M_sucr_c => M_fru_c + M_glc__D_c,R00801;R06087,R00801,2,,chebi,3393,False,True,,0, +BIOMD0000001092,R_SULR,5 M_h_c + 3 M_nadph_c + M_so3_c => 3 M_h2o_c + M_h2s_c + 3 M_nadp_c,R00858,R00858,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TALA,M_g3p_c + M_s7p_c <=> M_e4p_c + M_f6p_c,R01827,R01827,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_THPAT,M_accoa_c + M_h2o_c + M_thdp_c => M_coa_c + M_nal2a6o_c,R04364,R04364,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_THRA,M_thr__L_c <=> M_acald_c + M_gly__L_c,R00751,R00751,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_THRS,M_h2o_c + M_phom_c => M_pi_c + M_thr__L_c,R01466,R01466,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TKT2,M_e4p_c + M_xu5p__D_c <=> M_f6p_c + M_g3p_c,R01830,R01830,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TMDK1,M_atp_c + M_thymd_c => M_adp_c + M_dtmp_c + M_h_c,R01567,R01567,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TMDS3,M_dump_c + M_h_c + M_mlthf_c + M_nadph_c => M_dtmp_c + M_nadp_c + M_thf_c,R06613,R06613,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TMPK,M_atp_c + M_thmmp_c <=> M_adp_c + M_thmpp_c,R00617,R00617,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TMPPP,M_2mahmp_c + M_4mpetz_c + M_h_c => M_ppi_c + M_thmmp_c,R03223,R03223,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TPI,M_dhap_c <=> M_g3p_c,R01015,R01015,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TRDR,M_h_c + M_nadph_c + M_trdox_c => M_nadp_c + M_trdrd_c,R02016,R02016,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TREH,M_h2o_c + M_tre_c => 2 M_glc__D_c,R00010;R06103,R00010,2,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TRPAS2,M_h2o_c + M_trp__L_c => M_indole_c + M_nh4_c + M_pyr_c,R00673,R00673,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TRPS1,M_3ig3p_c + M_ser__L_c <=> M_g3p_c + M_h2o_c + M_trp__L_c,R02722,R02722,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TRPS2,M_indole_c + M_ser__L_c => M_h2o_c + M_trp__L_c,R00674,R00674,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TRPS3,M_3ig3p_c => M_g3p_c + M_indole_c,R02340,R02340,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TRQ7_GL2,M_glyc_c + 2 M_palm_c + 2 M_udpg_c + 2 M_h_c => 2 M_h2o_c + 2 M_udp_c + M_gl2_c,R09531,R09531,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_TYRTA,M_akg_c + M_tyr__L_c <=> M_34hpp_c + M_glu__L_c,R00734,R00734,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UAAGLS2,M_atp_c + M_lys__L_c + M_uamag_c => M_adp_c + M_h_c + M_pi_c + M_uGgl_c,R02786,R02786,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UAGCVT,M_pep_c + M_uacgam_c <=> M_pi_c + M_uaccg_c,R00660,R00660,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UAGPT2,M_uacgam_c + M_uaGgla_c => M_h_c + M_udp_c + M_uaaGgla_c,R05662;R06173,R05662,2,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UAMAGS,M_atp_c + M_glu__D_c + M_uama_c => M_adp_c + M_h_c + M_pi_c + M_uamag_c,R02783,R02783,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UAMAS,M_ala__L_c + M_atp_c + M_uamr_c => M_adp_c + M_h_c + M_pi_c + M_uama_c,R03193,R03193,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UAPGR,M_h_c + M_nadph_c + M_uaccg_c => M_nadp_c + M_uamr_c,R03192,R03192,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UDPG4E,M_udpg_c <=> M_udpgal_c,R00291,R00291,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UDPGD,M_h2o_c + 2 M_nad_c + M_udpg_c => 3 M_h_c + 2 M_nadh_c + M_udpglcur_c,R00286,R00286,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UMPK,M_atp_c + M_ump_c => M_adp_c + M_udp_c,R00158,R00158,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_UPPRT,M_prpp_c + M_ura_c => M_ppi_c + M_ump_c,R00966,R00966,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_URIDK2r,M_atp_c + M_dump_c <=> M_adp_c + M_dudp_c,R02098,R02098,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_URIK1,M_atp_c + M_uri_c => M_adp_c + M_h_c + M_ump_c,R00964,R00964,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_URIK2,M_gtp_c + M_uri_c => M_gdp_c + M_h_c + M_ump_c,R00968,R00968,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_VALTA,M_akg_c + M_val__L_c <=> M_3mob_c + M_glu__L_c,R01214,R01214,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_XPPT,M_prpp_c + M_xan_c => M_ppi_c + M_xmp_c,R02142,R02142,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_XYLI1,M_xyl__D_c <=> M_xylu__D_c,R01432,R01432,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_XYLI2,M_glc__D_c <=> M_fru_c,R00307,R00307,1,,chebi,3393,False,True,,0, +BIOMD0000001092,R_XYLK,M_atp_c + M_xylu__D_c => M_adp_c + M_h_c + M_xu5p__D_c,R01639,R01639,1,,chebi,3393,False,True,,0, +BIOMD0000001093,R_1PPDCRc,M_1pipdn2c_c + M_h_c + M_nadph_c => M_Lpipecol_c + M_nadp_c,R02203,R02203,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_2DHGLCK,M_2dhglcn_c + M_atp_c + 2 M_h_c => M_6p2dhglcn_c + M_adp_c,R02658,R02658,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_34HPPOR,M_34hpp_c + M_o2_c => M_co2_c + M_hgentis_c,R02521,R02521,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3HAD100,M_3hdecACP_c => M_h2o_c + M_tdec2eACP_c,R04535,R04535,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3HAD120,M_3hddecACP_c => M_h2o_c + M_tddec2eACP_c,R04965,R04965,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3HAD140,M_3hmrsACP_c => M_h2o_c + M_tmrs2eACP_c,R04568,R04568,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3HAD160,M_3hpalmACP_c => M_h2o_c + M_tpalm2eACP_c,R04544,R04544,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3HAD180,M_3hoctaACP_c => M_h2o_c + M_toctd2eACP_c,R07764,R07764,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3HAD60,M_3hhexACP_c => M_h2o_c + M_thex2eACP_c,R04954,R04954,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3HAD80,M_3hoctACP_c => M_h2o_c + M_toct2eACP_c,R04537,R04537,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3MBZALDH,M_3mbzalc_c + M_nad_c => M_3mbzald_c + M_h_c + M_nadh_c,R05347,R05347,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3MCAT23DOX,M_3mcat_c + M_o2_c => M_cchoxod_c + M_h_c,R04089,R04089,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3OADPCOAT,M_3oxoadp_c + M_succoa_c => M_oxadpcoa_c + M_succ_c,R02990,R02990,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3OAR100,M_3odecACP_c + M_h_c + M_nadph_c <=> M_3hdecACP_c + M_nadp_c,R04534,R04534,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3OAR120,M_3oddecACP_c + M_h_c + M_nadph_c <=> M_3hddecACP_c + M_nadp_c,R04964,R04964,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3OAR140,M_3omrsACP_c + M_h_c + M_nadph_c <=> M_3hmrsACP_c + M_nadp_c,R04566,R04566,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3OAR160,M_3opalmACP_c + M_h_c + M_nadph_c <=> M_3hpalmACP_c + M_nadp_c,R04543,R04543,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3OAR60,M_3ohexACP_c + M_h_c + M_nadph_c <=> M_3hhexACP_c + M_nadp_c,R04953,R04953,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3OAR80,M_3ooctACP_c + M_h_c + M_nadph_c <=> M_3hoctACP_c + M_nadp_c,R04536,R04536,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_3OXCOAT,M_coa_c + M_oxadpcoa_c => M_accoa_c + M_succoa_c,R00829,R00829,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4CMCOAS,M_T4hcinnm_c + M_atp_c + M_coa_c => M_amp_c + M_coucoa_c + M_ppi_c,R01616,R01616,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4CMLCL_kt,M_4cml_c + M_h_c => M_5odhf2a_c + M_co2_c,R03470,R03470,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4HBHYOX,M_4hbz_c + M_h_c + M_nadph_c + M_o2_c => M_34dhbz_c + M_h2o_c + M_nadp_c,R01298,R01298,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4HTHRS,M_h2o_c + M_phthr_c => M_4hthr_c + M_pi_c,R05086,R05086,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4MBZALDH,M_4mbzalc_c + M_nad_c => M_4mbzald_c + M_h_c + M_nadh_c,R05282,R05282,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4MCAT23DOX,M_4mcat_c + M_o2_c => M_h_c + M_hmccms_c,R05295,R05295,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4OD2,M_2omcm_c + M_h_c => M_2hchd_c + M_co2_c,R05374,R05374,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4OT,M_2hmc_c <=> M_oxalc_c,R03966,R03966,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_4OT2,M_hmccm_c <=> M_2omcm_c,R05389,R05389,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_6HNACMO,M_6hnac_c + 2 M_h_c + M_nadh_c + M_o2_c => M_co2_c + M_dhpyr_c + M_h2o_c + M_nad_c,R08764,R08764,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_A5PISO,M_ru5p__D_c <=> M_ara5p_c,R01530,R01530,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AACOAT,M_acac_c + M_atp_c + M_coa_c => M_aacoa_c + M_amp_c + M_ppi_c,R01357,R01357,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AACTOOR,M_aact_c + M_h2o_c + M_o2_c => M_h2o2_c + M_mthgxl_c + M_nh4_c,R02529,R02529,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AADSACYCL,M_h2o_c + M_h_c + M_thp2c_c <=> M_L2aadp6sa_c,R02317,R02317,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AASAD3,M_L2aadp6sa_c + M_h2o_c + M_nad_c => M_L2aadp_c + 2 M_h_c + M_nadh_c,R03102,R03102,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AATA,M_2oxoadp_c + M_glu__L_c <=> M_L2aadp_c + M_akg_c,R01939,R01939,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ABTA,M_4abut_c + M_akg_c => M_glu__L_c + M_sucsal_c,R01648,R01648,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ABUTD,M_4abutn_c + M_h2o_c + M_nad_c => M_4abut_c + 2 M_h_c + M_nadh_c,R02549,R02549,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACACT1r,2 M_accoa_c <=> M_aacoa_c + M_coa_c,R00238,R00238,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACALD,M_acald_c + M_coa_c + M_nad_c <=> M_accoa_c + M_h_c + M_nadh_c,R00228,R00228,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACBIPGT,M_adocbip_c + M_gtp_c + M_h_c => M_agdpcbi_c + M_ppi_c,R05222,R05222,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACCOAC,M_accoa_c + M_atp_c + M_hco3_c => M_adp_c + M_h_c + M_malcoa_c + M_pi_c,R00742,R00742,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACGK,M_acglu_c + M_atp_c => M_acg5p_c + M_adp_c,R02649,R02649,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACGS,M_accoa_c + M_glu__L_c => M_acglu_c + M_coa_c + M_h_c,R00259,R00259,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACHBS,M_2obut_c + M_h_c + M_pyr_c => M_2ahbut_c + M_co2_c,R08648,R08648,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACLS,M_h_c + 2 M_pyr_c => M_alac__S_c + M_co2_c,R00226,R00226,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACOAD1f,M_btcoa_c + M_fad_c <=> M_b2coa_c + M_fadh2_c,R01175,R01175,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACOAD3f,M_fad_c + M_occoa_c <=> M_fadh2_c + M_oc2coa_c,R03777,R03777,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACOAD5f,M_ddcacoa_c + M_fad_c <=> M_dd2coa_c + M_fadh2_c,R03857,R03857,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACOAD6f,M_fad_c + M_tdcoa_c <=> M_fadh2_c + M_td2coa_c,R03990,R03990,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACOAD7f,M_fad_c + M_pmtcoa_c <=> M_fadh2_c + M_hdd2coa_c,R01279,R01279,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACOATA,M_ACP_c + M_accoa_c <=> M_acACP_c + M_coa_c,R01624,R01624,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACODA,M_acorn_c + M_h2o_c => M_ac_c + M_orn_c,R00669,R00669,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACONIs,M_acon_T_c <=> M_acon_C_c,R02244,R02244,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACONMT,M_acon_T_c + M_amet_c => M_aconm_c + M_ahcys_c,R05763,R05763,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACONTa,M_cit_c <=> M_acon_C_c + M_h2o_c,R01325,R01325,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACONTb,M_acon_C_c + M_h2o_c <=> M_icit_c,R01900,R01900,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACOTA,M_acorn_c + M_akg_c <=> M_acg5sa_c + M_glu__L_c,R02283,R02283,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ACS,M_ac_c + M_atp_c + M_coa_c => M_accoa_c + M_amp_c + M_ppi_c,R00235,R00235,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADA,M_adn_c + M_h2o_c + M_h_c => M_ins_c + M_nh4_c,R01560,R01560,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADCL,M_4adcho_c => M_4abz_c + M_h_c + M_pyr_c,R05553,R05553,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADCPS1,M_adcobhex_c + M_appl_c + M_atp_c => M_adocbi_c + M_adp_c + M_h_c + M_pi_c,R07302,R07302,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADCPS2,M_adcobhex_c + M_applp_c + M_atp_c => M_adocbip_c + M_adp_c + M_h_c + M_pi_c,R06529,R06529,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADCS,M_chor_c + M_gln__L_c => M_4adcho_c + M_glu__L_c,R01716,R01716,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADD,M_ade_c + M_h2o_c + M_h_c => M_hxan_c + M_nh4_c,R01244,R01244,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADK1,M_amp_c + M_atp_c <=> 2 M_adp_c,R00127,R00127,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADNCYC,M_atp_c => M_camp_c + M_ppi_c,R00089,R00089,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADNK1,M_adn_c + M_atp_c => M_adp_c + M_amp_c + M_h_c,R00185,R00185,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADNUC,M_adn_c + M_h2o_c => M_ade_c + M_rib__D_c,R01245,R01245,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADOCBIK,M_adocbi_c + M_atp_c => M_adocbip_c + M_adp_c + M_h_c,R05221,R05221,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADOCBLS,M_agdpcbi_c + M_rdmbzi_c => M_adocbl_c + M_gmp_c + M_h_c,R05223,R05223,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADPT,M_ade_c + M_prpp_c => M_amp_c + M_ppi_c,R00190,R00190,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADSK,M_aps_c + M_atp_c => M_adp_c + M_h_c + M_paps_c,R00509,R00509,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADSL1r,M_dcamp_c <=> M_amp_c + M_fum_c,R01083,R01083,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADSL2r,M_25aics_c <=> M_aicar_c + M_fum_c,R04559,R04559,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ADSS,M_asp__L_c + M_gtp_c + M_imp_c => M_dcamp_c + M_gdp_c + 2 M_h_c + M_pi_c,R01135,R01135,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AGMDA,M_agm_c + M_h2o_c => M_Ncbmpts_c + M_h_c + M_nh4_c,R01416,R01416,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AGMHE,M_adphep_DD_c => M_adphep_LD_c,R05176,R05176,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AGMT,M_agm_c + M_h2o_c => M_ptrc_c + M_urea_c,R01157,R01157,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AGPOP,M_dgdp_c + M_h_c + M_pep_c => M_dgtp_c + M_pyr_c,R01858,R01858,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AGPR,M_acg5sa_c + M_nadp_c + M_pi_c <=> M_acg5p_c + M_h_c + M_nadph_c,R03443,R03443,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AHCi,M_ahcys_c + M_h2o_c <=> M_adn_c + M_hcys__L_c,R00192,R00192,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AHSERL2,M_achms_c + M_h2s_c => M_ac_c + M_h_c + M_hcys__L_c,R01287,R01287,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AICART,M_10fthf_c + M_aicar_c <=> M_fprica_c + M_thf_c,R04560,R04560,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AIRC3,M_5aizc_c <=> M_5caiz_c,R07405,R07405,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AKGDH,M_akg_c + M_coa_c + M_nad_c => M_co2_c + M_nadh_c + M_succoa_c,R08549,R08549,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALAALAr,2 M_ala__D_c + M_atp_c <=> M_adp_c + M_alaala_c + M_h_c + M_pi_c,R01150,R01150,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALAR,M_ala__L_c <=> M_ala__D_c,R00401,R00401,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALATA_L,M_akg_c + M_ala__L_c <=> M_glu__L_c + M_pyr_c,R00258,R00258,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALCD19,M_glyald_c + M_h_c + M_nadh_c <=> M_glyc_c + M_nad_c,R01036,R01036,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALCD2x,M_etoh_c + M_nad_c <=> M_acald_c + M_h_c + M_nadh_c,R00754,R00754,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALDD1,M_fald_c + M_h2o_c + M_nad_c => M_for_c + 2 M_h_c + M_nadh_c,R00604,R00604,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALDD19xr,M_h2o_c + M_nad_c + M_pacald_c => 2 M_h_c + M_nadh_c + M_pac_c,R02536,R02536,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALDD20x,M_h2o_c + M_id3acald_c + M_nad_c => 2 M_h_c + M_ind3ac_c + M_nadh_c,R02678,R02678,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALDD2x,M_acald_c + M_h2o_c + M_nad_c => M_ac_c + 2 M_h_c + M_nadh_c,R00710,R00710,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALDD2y,M_acald_c + M_h2o_c + M_nadp_c => M_ac_c + 2 M_h_c + M_nadph_c,R00711,R00711,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ALTRH,M_altrn_c => M_2ddglcn_c + M_h2o_c,R01540,R01540,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AMAOTr,M_8aonn_c + M_amet_c <=> M_amob_c + M_dann_c,R03231,R03231,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AMID4,M_ad_c + M_h2o_c => M_ac_c + M_nh4_c,R00321,R00321,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AMPTASECG,M_cgly_c + M_h2o_c => M_cys__L_c + M_gly_c,R00899,R00899,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ANPRT,M_anth_c + M_prpp_c => M_ppi_c + M_pran_c,R01073,R01073,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ANS,M_chor_c + M_gln__L_c => M_anth_c + M_glu__L_c + M_h_c + M_pyr_c,R00986,R00986,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ANS2,M_chor_c + M_nh4_c => M_anth_c + M_h2o_c + M_h_c + M_pyr_c,R00985,R00985,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AOBUTDs,M_2aobut_c + M_h_c => M_aact_c + M_co2_c,R03758,R03758,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AOXHEXCYCL,M_6a2ohxnt_c <=> M_1pipdn2c_c + M_h2o_c,R04175,R04175,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AOXSr2,M_ala__L_c + M_pimACP_c => M_8aonn_c + M_ACP_c + M_co2_c,R10124,R10124,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AP4AH,M_ap4a_c + M_h2o_c => 2 M_adp_c + 2 M_h_c,R00125,R00125,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_APATr,M_ala_B_c + M_pyr_c <=> M_ala__L_c + M_msa_c,R00907,R00907,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_APPAT,M_atp_c + 2 M_h_c + M_pan4p_c => M_dpcoa_c + M_ppi_c,R03035,R03035,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_APPLDHr,M_aact_c + M_h_c + M_nadh_c <=> M_appl_c + M_nad_c,R03759,R03759,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_APRAUR,M_5apru_c + M_h_c + M_nadph_c => M_5aprbu_c + M_nadp_c,R03458,R03458,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_APSR,M_aps_c + M_trdrd_c => M_amp_c + 2 M_h_c + M_so3_c + M_trdox_c,R07176,R07176,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_APTNAT,M_5aptn_c + M_akg_c <=> M_glu__L_c + M_oxptn_c,R02274,R02274,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ARGDC,M_arg__L_c + M_h_c => M_agm_c + M_co2_c,R00566,R00566,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ARGDCpp,M_arg__L_p + M_h_p => M_agm_p + M_co2_p,R00566,R00566,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ARGDI,M_arg__L_c + M_h2o_c + M_h_c => M_citr__L_c + M_nh4_c,R00552,R00552,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ARGDr,M_arg__L_c + M_h2o_c => M_citr__L_c + M_nh4_c,R00552,R00552,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ARGSL,M_argsuc_c <=> M_arg__L_c + M_fum_c,R01086,R01086,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ARGSS,M_asp__L_c + M_atp_c + M_citr__L_c => M_amp_c + M_argsuc_c + M_h_c + M_ppi_c,R01954,R01954,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ARGTRS,M_arg__L_c + M_atp_c + M_trnaarg_c => M_amp_c + M_argtrna_c + M_ppi_c,R03646,R03646,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AROH,M_Largn_c => M_co2_c + M_h2o_c + M_phe__L_c,R00691,R00691,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ARUH,M_arg__L_c + M_pyr_c <=> M_5g2oxpt_c + M_ala__L_c,R08197,R08197,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASAD,M_aspsa_c + M_nadp_c + M_pi_c <=> M_4pasp_c + M_h_c + M_nadph_c,R02291,R02291,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASNN,M_asn__L_c + M_h2o_c => M_asp__L_c + M_nh4_c,R00485,R00485,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASNNpp,M_asn__L_p + M_h2o_p => M_asp__L_p + M_nh4_p,R00485,R00485,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASNS1,M_asp__L_c + M_atp_c + M_gln__L_c + M_h2o_c => M_amp_c + M_asn__L_c + M_glu__L_c + M_h_c + M_ppi_c,R00578,R00578,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASPCT,M_asp__L_c + M_cbp_c => M_cbasp_c + M_h_c + M_pi_c,R01397,R01397,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASPK,M_asp__L_c + M_atp_c <=> M_4pasp_c + M_adp_c,R00480,R00480,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASPO1,M_asp__L_c + M_h2o_c + M_o2_c => M_h2o2_c + M_nh4_c + M_oaa_c,R00357,R00357,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASPO6,M_asp__L_c + M_o2_c => M_h2o2_c + M_h_c + M_iasp_c,R00481,R00481,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASPT,M_asp__L_c => M_fum_c + M_nh4_c,R00490,R00490,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASPTA,M_akg_c + M_asp__L_c <=> M_glu__L_c + M_oaa_c,R00355,R00355,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ASPTRS,M_asp__L_c + M_atp_c + M_trnaasp_c => M_amp_c + M_asptrna_c + M_ppi_c,R05577,R05577,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_AST,M_arg__L_c + M_succoa_c => M_coa_c + M_h_c + M_sucarg_c,R00832,R00832,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ATHRDHr,M_athr__L_c + M_nadp_c <=> M_2aobut_c + M_h_c + M_nadph_c,R10851,R10851,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ATPHs,M_atp_c + M_h2o_c + M_h_c => M_itp_c + M_nh4_c,R00088,R00088,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ATPM,M_atp_c + M_h2o_c => M_adp_c + M_h_c + M_pi_c,R00086,R00086,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ATPPRT,M_atp_c + M_prpp_c => M_ppi_c + M_prbatp_c,R01071,R01071,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_BDH,M_bhb_c + M_nad_c <=> M_acac_c + M_h_c + M_nadh_c,R01361,R01361,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_BETALDHx,M_betald_c + M_h2o_c + M_nad_c => M_glyb_c + 2 M_h_c + M_nadh_c,R02565,R02565,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_BETALDHy,M_betald_c + M_h2o_c + M_nadp_c => M_glyb_c + 2 M_h_c + M_nadph_c,R02566,R02566,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_BPNT,M_h2o_c + M_pap_c => M_amp_c + M_pi_c,R00188,R00188,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_BZ12DOX,M_bz_c + M_h_c + M_nadh_c + M_o2_c => M_bz12diol_c + M_nad_c,R05621,R05621,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_BZALDH,M_bzalc_c + M_nad_c => M_bzal_c + M_h_c + M_nadh_c,R01487;R01763,R01487,2,,chebi,8636,False,True,,0, +BIOMD0000001093,R_BZDH,M_bzal_c + M_h2o_c + M_nad_c => M_bz_c + 2 M_h_c + M_nadh_c,R01419;R01486,R01419,2,,chebi,8636,False,True,,0, +BIOMD0000001093,R_BZDIOLDH,M_bz12diol_c + M_nad_c => M_catechol_c + M_co2_c + M_nadh_c,R00813,R00813,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CAFFCOA,M_34dhcinm_c + M_atp_c + M_coa_c => M_amp_c + M_caffcoa_c + M_ppi_c,R01943,R01943,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CAT,2 M_h2o2_c => 2 M_h2o_c + M_o2_c,R00009,R00009,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CAT23DOX,M_catechol_c + M_o2_c => M_2hmcnsad_c,R00816,R00816,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CATDOX,M_catechol_c + M_o2_c => M_ccmuac_c + 2 M_h_c,R00817,R00817,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CBLAT,M_atp_c + M_cbl1_c + M_h_c <=> M_adocbl_c + M_pppi_c,R01492,R01492,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CBMKr,M_atp_c + M_co2_c + M_nh4_c <=> M_adp_c + M_cbp_c + 2 M_h_c,R00150,R00150,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CBPS,2 M_atp_c + M_gln__L_c + M_h2o_c + M_hco3_c => 2 M_adp_c + M_cbp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00575,R00575,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CCGS,M_atp_c + M_cdg_c + M_nh4_c => M_adp_c + M_h2o_c + M_h_c + M_pi_c + M_preq0_c,R09978,R09978,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CDGR,3 M_h_c + 2 M_nadph_c + M_preq0_c => 2 M_nadp_c + M_preq1_c,R07605,R07605,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CDGS,M_cph4_c + M_h_c => M_cdg_c + M_nh4_c,R10002,R10002,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CDPMEK,M_4c2me_c + M_atp_c => M_2p4c2me_c + M_adp_c + M_h_c,R05634,R05634,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CHLP,M_cholp_c + M_h2o_c => M_chol_c + M_pi_c,R06871,R06871,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CHOLD,M_chol_c + M_nad_c => M_betald_c + M_h_c + M_nadh_c,R08557,R08557,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CHOLSH,M_chols_c + M_h2o_c => M_chol_c + M_h_c + M_so4_c,R01028,R01028,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CHORM,M_chor_c => M_pphn_c,R01715,R01715,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CHORS,M_3psme_c => M_chor_c + M_pi_c,R01714,R01714,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CHRPL,M_chor_c => M_4hbz_c + M_pyr_c,R01302,R01302,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_COALDDH,M_conialdh_c + M_h2o_c + M_nad_c => M_fer_c + 2 M_h_c + M_nadh_c,R05700,R05700,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_COCHL,M_atp_c + M_cobalt2_c + M_h2o_c + M_hgbam_c => M_adp_c + M_co2dam_c + 2 M_h_c + M_pi_c,R05227,R05227,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CPH4S,M_ahdt_c + M_h2o_c => M_acald_c + M_cph4_c + M_h_c + M_pppi_c,R09959,R09959,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CPPPGO,M_cpppg3_c + 2 M_h_c + M_o2_c => 2 M_co2_c + 2 M_h2o_c + M_pppg9_c,R03220,R03220,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CPPPGO2,2 M_amet_c + M_cpppg3_c => 2 M_co2_c + 2 M_dad_5_c + 2 M_met__L_c + M_pppg9_c,R06895,R06895,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CS,M_accoa_c + M_h2o_c + M_oaa_c => M_cit_c + M_coa_c + M_h_c,R00351,R00351,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CSND,M_csn_c + M_h2o_c + M_h_c => M_nh4_c + M_ura_c,R00974,R00974,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CSPMDDC,M_cspmd_c + M_h_c => M_co2_c + M_spmd_c,R09081,R09081,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CSPMDDH,M_aspsa_c + M_h_c + M_nadph_c + M_ptrc_c => M_cspmd_c + M_h2o_c + M_nadp_c,R09079,R09079,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CTPS1,M_atp_c + M_nh4_c + M_utp_c => M_adp_c + M_ctp_c + 2 M_h_c + M_pi_c,R00571,R00571,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CTPS2,M_atp_c + M_gln__L_c + M_h2o_c + M_utp_c => M_adp_c + M_ctp_c + M_glu__L_c + 2 M_h_c + M_pi_c,R00573,R00573,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYANST,M_cyan_c + M_tsul_c => M_h_c + M_so3_c + M_tcynt_c,R01931,R01931,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYSDS,M_cys__L_c + M_h2o_c => M_h2s_c + M_nh4_c + M_pyr_c,R00782,R00782,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYSS,M_acser_c + M_h2s_c => M_ac_c + M_cys__L_c + M_h_c,R00897,R00897,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYSSADS,M_3sala_c + 2 M_h_c => M_ala__L_c + M_so2_c,R00863,R00863,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYSTGL,M_cyst__L_c + M_h2o_c => M_2obut_c + M_cys__L_c + M_nh4_c,R01001,R01001,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYSTL,M_cyst__L_c + M_h2o_c => M_hcys__L_c + M_nh4_c + M_pyr_c,R01286,R01286,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYSTRS,M_atp_c + M_cys__L_c + M_trnacys_c => M_amp_c + M_cystrna_c + M_ppi_c,R03650,R03650,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYSTS,M_hcys__L_c + M_ser__L_c => M_cyst__L_c + M_h2o_c,R01290,R01290,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYTDH,M_cytd_c + M_h2o_c => M_csn_c + M_rib__D_c,R02137,R02137,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYTK1,M_atp_c + M_cmp_c <=> M_adp_c + M_cdp_c,R00512,R00512,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_CYTK2,M_atp_c + M_dcmp_c <=> M_adp_c + M_dcdp_c,R01665,R01665,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DADA,M_dad_2_c + M_h2o_c + M_h_c => M_din_c + M_nh4_c,R02556,R02556,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DADK,M_atp_c + M_damp_c <=> M_adp_c + M_dadp_c,R01547,R01547,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DAPDC,M_26dap__M_c + M_h_c => M_co2_c + M_lys__L_c,R00451,R00451,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DAPE,M_26dap_LL_c <=> M_26dap__M_c,R02735,R02735,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DB4PS,M_ru5p__D_c => M_db4p_c + M_for_c + M_h_c,R07281,R07281,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DBTS,M_atp_c + M_co2_c + M_dann_c => M_adp_c + M_dtbt_c + 3 M_h_c + M_pi_c,R03182,R03182,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DCTPD,M_dctp_c + M_h2o_c + M_h_c => M_dutp_c + M_nh4_c,R02325,R02325,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DCTPD2,M_ctp_c + M_h2o_c + M_h_c => M_nh4_c + M_utp_c,R00568,R00568,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DDGLK,M_2ddglcn_c + M_atp_c => M_2ddg6p_c + M_adp_c + M_h_c,R01541,R01541,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DDPA,M_e4p_c + M_h2o_c + M_pep_c => M_2dda7p_c + M_pi_c,R01826,R01826,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DGK1,M_atp_c + M_dgmp_c <=> M_adp_c + M_dgdp_c,R02090,R02090,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DH3MCHCDH,M_dh3mchc_c + M_nad_c => M_3mcat_c + M_co2_c + M_nadh_c,R05309,R05309,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DH4MCHCDH,M_dh4mchc_c + M_nad_c => M_4mcat_c + M_co2_c + M_nadh_c,R05292,R05292,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHAD1_copy1,M_23dhmb_c => M_3mob_c + M_h2o_c,R04441,R04441,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHAD1_copy2,M_23dhmb_c => M_3mob_c + M_h2o_c,R04441,R04441,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHAD2,M_23dhmp_c => M_3mop_c + M_h2o_c,R05070,R05070,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHFR,M_dhf_c + M_h_c + M_nadph_c <=> M_nadp_c + M_thf_c,R00939,R00939,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHFS,M_atp_c + M_dhpt_c + M_glu__L_c => M_adp_c + M_dhf_c + M_h_c + M_pi_c,R02237,R02237,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHORDfum,M_dhor__S_c + M_fum_c => M_orot_c + M_succ_c,R01867,R01867,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHORTS,M_dhor__S_c + M_h2o_c <=> M_cbasp_c + M_h_c,R01993,R01993,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHPM1,M_56dura_c + M_h2o_c => M_cala_c + M_h_c,R02269,R02269,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHPPDA2,M_25drapp_c + M_h2o_c + M_h_c => M_5apru_c + M_nh4_c,R03459,R03459,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHQS,M_2dda7p_c => M_3dhq_c + M_pi_c,R03083,R03083,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHQTi_copy1,M_3dhq_c <=> M_3dhsk_c + M_h2o_c,R03084,R03084,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHQTi_copy2,M_3dhq_c => M_3dhsk_c + M_h2o_c,R03084,R03084,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DHSKDH,M_3dhsk_c => M_34dhbz_c + M_h2o_c,R01627,R01627,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DMALRED,M_fad_c + M_mal__L_c => M_fadh2_c + M_oaa_c,R01257,R01257,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DMATT,M_dmpp_c + M_ipdp_c => M_grdp_c + M_ppi_c,R01658,R01658,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DNMPPA,M_dhpmp_c + M_h2o_c => M_dhnpt_c + M_pi_c,R04621,R04621,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DNTPPA,M_ahdt_c + M_h2o_c => M_dhpmp_c + M_h_c + M_ppi_c,R04638,R04638,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DPCOAK,M_atp_c + M_dpcoa_c => M_adp_c + M_coa_c + M_h_c,R00130,R00130,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DPR,M_2dhp_c + M_h_c + M_nadph_c => M_nadp_c + M_pant__R_c,R02472,R02472,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DTMPK,M_atp_c + M_dtmp_c <=> M_adp_c + M_dtdp_c,R02094,R02094,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DURAD,M_56dura_c + M_nadp_c <=> M_h_c + M_nadph_c + M_ura_c,R00978,R00978,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DUTPDP,M_dutp_c + M_h2o_c => M_dump_c + M_h_c + M_ppi_c,R02100,R02100,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DXPRIi,M_dxyl5p_c + M_h_c + M_nadph_c => M_2me4p_c + M_nadp_c,R05688,R05688,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_DXPS,M_g3p_c + M_h_c + M_pyr_c => M_co2_c + M_dxyl5p_c,R05636,R05636,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_E4PD,M_e4p_c + M_h2o_c + M_nad_c <=> M_4per_c + 2 M_h_c + M_nadh_c,R01825,R01825,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH1,M_3hbcoa_c <=> M_b2coa_c + M_h2o_c,R03026,R03026,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH12,M_2mp2coa_c + M_h2o_c => M_3hibutcoa_c,R04224,R04224,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH2,M_3hhcoa_c <=> M_h2o_c + M_hx2coa_c,R04749,R04749,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH3,M_3hocoa_c <=> M_h2o_c + M_oc2coa_c,R04746,R04746,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH4,M_3hdcoa_c <=> M_dc2coa_c + M_h2o_c,R04744,R04744,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH5,M_3hddcoa_c <=> M_dd2coa_c + M_h2o_c,R04170,R04170,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH6,M_3htdcoa_c <=> M_h2o_c + M_td2coa_c,R04740,R04740,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH7,M_3hhdcoa_c <=> M_h2o_c + M_hdd2coa_c,R04738,R04738,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ECOAH9ir,M_2mb2coa_c + M_h2o_c => M_3hmbcoa_c,R04204,R04204,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_EDA,M_2ddg6p_c => M_g3p_c + M_pyr_c,R05605,R05605,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_EDD,M_6pgc_c => M_2ddg6p_c + M_h2o_c,R02036,R02036,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_EGMEACPR,M_egmeACP_c + M_h_c + M_nadph_c => M_gmeACP_c + M_nadp_c,R10118,R10118,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ENO,M_2pg_c <=> M_h2o_c + M_pep_c,R00658,R00658,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_EPMEACPR,M_epmeACP_c + M_h_c + M_nadph_c => M_nadp_c + M_pmeACP_c,R10122,R10122,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ETHAAL,M_etha_c => M_acald_c + M_nh4_c,R00749,R00749,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ETHP,M_ethamp_c + M_h2o_c => M_etha_c + M_pi_c,R06870,R06870,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FACOAE160,M_h2o_c + M_pmtcoa_c => M_coa_c + M_h_c + M_hdca_c,R01274,R01274,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FACOAE180,M_h2o_c + M_stcoa_c => M_coa_c + M_h_c + M_ocdca_c,R08174,R08174,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FACOAE1829Z12Z,M_h2o_c + M_lnlccoa_c => M_coa_c + M_h_c + M_lnlc_c,R08177,R08177,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FACOAL160,M_atp_c + M_coa_c + M_hdca_c => M_amp_c + M_pmtcoa_c + M_ppi_c,R01280,R01280,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FALDH2,M_hmgth_c + M_nad_c <=> M_Sfglutth_c + M_h_c + M_nadh_c,R06983,R06983,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FALGTHLs,M_fald_c + M_gthrd_c <=> M_hmgth_c,R06982,R06982,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FBA,M_fdp_c <=> M_dhap_c + M_g3p_c,R01068,R01068,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FCLT,M_fe2_c + M_ppp9_c => 2 M_h_c + M_pheme_c,R00310,R00310,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FDH,M_for_c + M_nad_c => M_co2_c + M_nadh_c,R00519,R00519,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FDMO2,M_fmnh2_c + M_mso3_c + M_o2_c => M_fald_c + M_fmn_c + M_h2o_c + M_h_c + M_so3_c,R10206,R10206,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FEROpp,4 M_fe2_p + 4 M_h_p + M_o2_p => 4 M_fe3_p + 2 M_h2o_p,R00078,R00078,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FERULCOAS,M_atp_c + M_coa_c + M_fer_c => M_amp_c + M_ferulcoa_c + M_ppi_c,R02194,R02194,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FMETTRS,M_10fthf_c + M_mettrna_c => M_fmettrna_c + M_h_c + M_thf_c,R03940,R03940,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FMNAT,M_atp_c + M_fmn_c + M_h_c => M_fad_c + M_ppi_c,R00161,R00161,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FMNRx,M_fmn_c + M_h_c + M_nadh_c => M_fmnh2_c + M_nad_c,R05705,R05705,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FMNRx2_copy1,M_fmn_c + M_h_c + M_nadph_c <=> M_fmnh2_c + M_nadp_c,R05706,R05706,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FMNRx2_copy2,M_fmn_c + M_h_c + M_nadph_c => M_fmnh2_c + M_nadp_c,R05706,R05706,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FOMETRi,M_5fthf_c + M_h_c => M_h2o_c + M_methf_c,R02300,R02300,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FTHFCL,M_5fthf_c + M_atp_c => M_adp_c + M_methf_c + M_pi_c,R02301,R02301,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FTHFD,M_10fthf_c + M_h2o_c => M_for_c + M_h_c + M_thf_c,R00944,R00944,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FUM,M_fum_c + M_h2o_c <=> M_mal__L_c,R01082,R01082,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_FUMAC,M_4fumacac_c + M_h2o_c => M_acac_c + M_fum_c + M_h_c,R01364,R01364,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G1PTT,M_dttp_c + M_g1p_c + M_h_c => M_dtdpglu_c + M_ppi_c,R02328,R02328,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G1SAT,M_glu1sa_c <=> M_5aop_c,R02272,R02272,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G2PP,M_glyc2p_c + M_h2o_c => M_glyc_c + M_pi_c,R01043,R01043,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G3PD2,M_glyc3p_c + M_nadp_c <=> M_dhap_c + M_h_c + M_nadph_c,R00844,R00844,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G5SADs,M_glu5sa_c => M_1pyr5c_c + M_h2o_c + M_h_c,R03314,R03314,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G5SD_copy1,M_glu5p_c + M_h_c + M_nadph_c => M_glu5sa_c + M_nadp_c + M_pi_c,R03313,R03313,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G5SD_copy2,M_glu5p_c + M_h_c + M_nadph_c <=> M_glu5sa_c + M_nadp_c + M_pi_c,R03313,R03313,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G6PBDH,M_g6p_B_c + M_nadp_c => M_6pgl_c + M_h_c + M_nadph_c,R02736,R02736,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_G6PDH2r,M_g6p_c + M_nadp_c => M_6pgl_c + M_h_c + M_nadph_c,R00835,R00835,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GALCTD,M_galct__D_c => M_5dh4dglc_c + M_h2o_c,R05608,R05608,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GALUi,M_g1p_c + M_h_c + M_utp_c => M_ppi_c + M_udpg_c,R00289,R00289,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GAPD,M_g3p_c + M_nad_c + M_pi_c <=> M_13dpg_c + M_h_c + M_nadh_c,R01061,R01061,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GAPDi_nadp,M_13dpg_c + M_h_c + M_nadph_c <=> M_g3p_c + M_nadp_c + M_pi_c,R01063,R01063,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GARFT,M_10fthf_c + M_gar_c <=> M_fgam_c + M_h_c + M_thf_c,R04325,R04325,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GART,M_atp_c + M_for_c + M_gar_c => M_adp_c + M_fgam_c + M_h_c + M_pi_c,R06974,R06974,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GCALDD,M_gcald_c + M_h2o_c + M_nad_c => M_glyclt_c + 2 M_h_c + M_nadh_c,R01333,R01333,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GDBTALDH,M_gdbtal_c + M_h2o_c + M_nad_c => M_4gudbutn_c + 2 M_h_c + M_nadh_c,R03177,R03177,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GGGABAH,M_gg4abut_c + M_h2o_c => M_4abut_c + M_glu__L_c,R07419,R07419,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GHMT2r,M_ser__L_c + M_thf_c => M_gly_c + M_h2o_c + M_mlthf_c,R00945,R00945,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GK1,M_atp_c + M_gmp_c <=> M_adp_c + M_gdp_c,R00332,R00332,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLCOAS,M_atp_c + M_coa_c + M_glutar_c => M_adp_c + M_glutcoa_c + M_pi_c,R02402,R02402,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLCRD,M_glcr_c => M_5dh4dglc_c + M_h2o_c,R02752,R02752,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLGC,M_atp_c + M_g1p_c + M_h_c => M_adpglc_c + M_ppi_c,R00948,R00948,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLNS_copy1,M_atp_c + M_glu__L_c + M_nh4_c => M_adp_c + M_gln__L_c + M_h_c + M_pi_c,R00253,R00253,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLNS_copy2,M_atp_c + M_glu__L_c + M_nh4_c => M_adp_c + M_gln__L_c + M_h_c + M_pi_c,R00253,R00253,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLNTRAT,M_atp_c + M_gln__L_c + M_glutrna_gln_c + M_h2o_c => M_adp_c + M_glntrna_c + M_glu__L_c + M_h_c + M_pi_c,R03905,R03905,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLNTRS,M_atp_c + M_gln__L_c + M_trnagln_c => M_amp_c + M_glntrna_c + M_ppi_c,R03652,R03652,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLU5K,M_atp_c + M_glu__L_c => M_adp_c + M_glu5p_c,R00239,R00239,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUCYS_copy1,M_atp_c + M_cys__L_c + M_glu__L_c => M_adp_c + M_glucys_c + M_h_c + M_pi_c,R00894,R00894,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUCYS_copy2,M_atp_c + M_cys__L_c + M_glu__L_c => M_adp_c + M_glucys_c + M_h_c + M_pi_c,R00894,R00894,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUDxi,M_glu__L_c + M_h2o_c + M_nad_c <=> M_akg_c + M_h_c + M_nadh_c + M_nh4_c,R00243,R00243,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUDy,M_glu__L_c + M_h2o_c + M_nadp_c <=> M_akg_c + M_h_c + M_nadph_c + M_nh4_c,R00248,R00248,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUNpp,M_gln__L_p + M_h2o_p => M_glu__L_p + M_nh4_p,R00256,R00256,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUPRT,M_gln__L_c + M_h2o_c + M_prpp_c => M_glu__L_c + M_ppi_c + M_pram_c,R01072,R01072,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUR,M_glu__D_c <=> M_glu__L_c,R00260,R00260,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUSy,M_akg_c + M_gln__L_c + M_h_c + M_nadph_c => 2 M_glu__L_c + M_nadp_c,R00114,R00114,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUTCOADHc,M_fad_c + M_glutcoa_c + M_h_c => M_b2coa_c + M_co2_c + M_fadh2_c,R02487,R02487,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUTRR,M_glutrna_c + M_h_c + M_nadph_c => M_glu1sa_c + M_nadp_c + M_trnaglu_c,R04109,R04109,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLUTRS,M_atp_c + M_glu__L_c + M_trnaglu_c => M_amp_c + M_glutrna_c + M_ppi_c,R05578,R05578,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLXCL,2 M_glx_c + M_h_c => M_2h3oppan_c + M_co2_c,R00013,R00013,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLXO3r,M_glx_c + M_h2o_c + M_o2_c => M_h2o2_c + M_h_c + M_oxa_c,R00466,R00466,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYALDDr,M_glyald_c + M_h2o_c + M_nad_c <=> M_glyc__R_c + 2 M_h_c + M_nadh_c,R01752,R01752,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYCK,M_atp_c + M_glyc__R_c => M_3pg_c + M_adp_c + M_h_c,R01514,R01514,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYCL,M_gly_c + M_nad_c + M_thf_c => M_co2_c + M_mlthf_c + M_nadh_c + M_nh4_c,R01221,R01221,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYCLTDx,M_glx_c + M_h_c + M_nadh_c => M_glyclt_c + M_nad_c,R00717,R00717,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYCLTDy,M_glx_c + M_h_c + M_nadph_c => M_glyclt_c + M_nadp_c,R00465,R00465,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYCTO1,M_glyclt_c + M_o2_c => M_glx_c + M_h2o2_c,R00475,R00475,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYK,M_atp_c + M_glyc_c => M_adp_c + M_glyc3p_c + M_h_c,R00847,R00847,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYO1,M_gly_c + M_h2o_c + M_o2_c => M_glx_c + M_h2o2_c + M_nh4_c,R00366,R00366,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYOX,M_h2o_c + M_lgt__S_c => M_gthrd_c + M_h_c + M_lac__D_c,R01736,R01736,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GLYTRS,M_atp_c + M_gly_c + M_trnagly_c => M_amp_c + M_glytrna_c + M_ppi_c,R03654,R03654,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GMAND,M_gdpmann_c => M_gdpddman_c + M_h2o_c,R00888,R00888,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GMHEPAT,M_atp_c + M_gmhep1p_c + M_h_c => M_adphep_DD_c + M_ppi_c,R05644,R05644,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GMPS2,M_atp_c + M_gln__L_c + M_h2o_c + M_xmp_c => M_amp_c + M_glu__L_c + M_gmp_c + 2 M_h_c + M_ppi_c,R01231,R01231,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GND,M_6pgc_c + M_nadp_c => M_co2_c + M_nadph_c + M_ru5p__D_c,R01528,R01528,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GNK,M_atp_c + M_glcn_c => M_6pgc_c + M_adp_c + M_h_c,R01737,R01737,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GNNUC,M_gsn_c + M_h2o_c => M_gua_c + M_rib__D_c,R01677,R01677,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GPDDA2,M_g3pe_c + M_h2o_c => M_etha_c + M_glyc3p_c + M_h_c,R01470,R01470,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GRTT,M_grdp_c + M_ipdp_c => M_frdp_c + M_ppi_c,R02003,R02003,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GTHOr,M_gthox_c + M_h_c + M_nadph_c <=> 2 M_gthrd_c + M_nadp_c,R00115,R00115,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GTHPi,2 M_gthrd_c + M_h2o2_c => M_gthox_c + 2 M_h2o_c,R00274,R00274,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GTHRDHpp,M_gthrd_p + M_h2o_p => M_cgly_p + M_glu__L_p,R00494,R00494,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GTHS,M_atp_c + M_glucys_c + M_gly_c => M_adp_c + M_gthrd_c + M_h_c + M_pi_c,R00497,R00497,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GTPCI,M_gtp_c + M_h2o_c => M_ahdt_c + M_for_c + M_h_c,R00424,R00424,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GTPCII2,M_gtp_c + 3 M_h2o_c => M_25drapp_c + M_for_c + 2 M_h_c + M_ppi_c,R00425,R00425,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GTPDPDP,M_gdptp_c + M_h2o_c => M_h_c + M_pi_c + M_ppgpp_c,R03409,R03409,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GTPDPK,M_atp_c + M_gtp_c => M_amp_c + M_gdptp_c + M_h_c,R00429,R00429,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GUACYC,M_gtp_c => M_35cgmp_c + M_ppi_c,R00434,R00434,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GUAD,M_gua_c + M_h2o_c + M_h_c => M_nh4_c + M_xan_c,R01676,R01676,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GUAPRT,M_gua_c + M_prpp_c => M_gmp_c + M_ppi_c,R01229,R01229,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_GUDBUTNAH,M_4gudbutn_c + M_h2o_c => M_4abut_c + M_urea_c,R01990,R01990,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HACD1i,M_3hbcoa_c + M_nad_c => M_aacoa_c + M_h_c + M_nadh_c,R01975,R01975,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HACD2i,M_3hhcoa_c + M_nad_c => M_3ohcoa_c + M_h_c + M_nadh_c,R04748,R04748,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HACD3i,M_3hocoa_c + M_nad_c => M_3oocoa_c + M_h_c + M_nadh_c,R04745,R04745,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HACD4i,M_3hdcoa_c + M_nad_c => M_3odcoa_c + M_h_c + M_nadh_c,R04743,R04743,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HACD5i,M_3hddcoa_c + M_nad_c => M_3oddcoa_c + M_h_c + M_nadh_c,R04741,R04741,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HACD6i,M_3htdcoa_c + M_nad_c => M_3otdcoa_c + M_h_c + M_nadh_c,R04739,R04739,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HACD7i,M_3hhdcoa_c + M_nad_c => M_3ohdcoa_c + M_h_c + M_nadh_c,R04737,R04737,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HACD9,M_3hmbcoa_c + M_nad_c <=> M_2maacoa_c + M_h_c + M_nadh_c,R04203,R04203,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HADPCOADH3,M_3hadpcoa_c + M_nad_c <=> M_h_c + M_nadh_c + M_oxadpcoa_c,R06941,R06941,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HBZOPT,M_4hbz_c + M_octdp_c => M_3ophb_c + M_ppi_c,R05615,R05615,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HCO3E,M_co2_c + M_h2o_c <=> M_h_c + M_hco3_c,R00132;R10092,R00132,2,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HCYSMT,M_amet_c + M_hcys__L_c => M_ahcys_c + M_h_c + M_met__L_c,R00650,R00650,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HCYSMT2,M_hcys__L_c + M_mmet_c => M_h_c + 2 M_met__L_c,R11063,R11063,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HDH,M_h2o_c + M_histd_c + 2 M_nad_c => 4 M_h_c + M_his__L_c + 2 M_nadh_c,R01158,R01158,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HEMEOS,M_frdp_c + M_h2o_c + M_pheme_c => M_hemeO_c + M_ppi_c,R07411,R07411,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HEX1,M_atp_c + M_glc__D_c => M_adp_c + M_g6p_c + M_h_c,R00299,R00299,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HGNTOR,M_hgentis_c + M_o2_c => M_4mlacac_c + M_h_c,R02519,R02519,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HISDr,M_his__L_c => M_nh4_c + M_urcan_c,R01168,R01168,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HISTD,M_h2o_c + M_histd_c + 2 M_nad_c => 3 M_h_c + M_his__L_c + 2 M_nadh_c,R01158,R01158,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HISTP,M_h2o_c + M_hisp_c => M_histd_c + M_pi_c,R03013,R03013,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HISTRS,M_atp_c + M_his__L_c + M_trnahis_c => M_amp_c + M_histrna_c + M_ppi_c,R03655,R03655,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HMBS,M_h2o_c + 4 M_ppbng_c => M_hmbil_c + 4 M_nh4_c,R00084,R00084,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HMSD,M_2hmcnsad_c + M_h2o_c + M_nad_c => M_2hmc_c + 3 M_h_c + M_nadh_c,R02762,R02762,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HMSD2,M_h2o_c + M_hmccms_c + M_nad_c => 2 M_h_c + M_hmccm_c + M_nadh_c,R05353,R05353,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HMSH2,M_h2o_c + M_hmccms_c => M_2hchd_c + M_for_c + M_h_c,R05865,R05865,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HOPNTAL,M_4h2opntn_c => M_acald_c + M_pyr_c,R00750,R00750,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HOPNTAL2,M_4hoxoh_c => M_ppal_c + M_pyr_c,R05298,R05298,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HPYRI,M_hpyr_c <=> M_2h3oppan_c,R01394,R01394,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HPYRRx,M_h_c + M_hpyr_c + M_nadh_c <=> M_glyc__R_c + M_nad_c,R01388,R01388,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HPYRRy,M_h_c + M_hpyr_c + M_nadph_c => M_glyc__R_c + M_nadp_c,R01392,R01392,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HSDy,M_hom__L_c + M_nadp_c <=> M_aspsa_c + M_h_c + M_nadph_c,R01775,R01775,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HSERTA,M_accoa_c + M_hom__L_c <=> M_achms_c + M_coa_c,R01776,R01776,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HSK,M_atp_c + M_hom__L_c => M_adp_c + M_h_c + M_phom_c,R01771,R01771,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HSTPT,M_glu__L_c + M_imacp_c => M_akg_c + M_hisp_c,R03243,R03243,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HXAND,M_h2o_c + M_hxan_c + M_nad_c => M_h_c + M_nadh_c + M_xan_c,R01768,R01768,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_HXPRT,M_hxan_c + M_prpp_c => M_imp_c + M_ppi_c,R01132,R01132,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ICDHyr,M_icit_c + M_nadp_c <=> M_akg_c + M_co2_c + M_nadph_c,R00267,R00267,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ICL,M_icit_c => M_glx_c + M_succ_c,R00479,R00479,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IG3PS,M_gln__L_c + M_prlp_c => M_aicar_c + M_eig3p_c + M_glu__L_c + M_h_c,R04558,R04558,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IGPDH,M_eig3p_c => M_h2o_c + M_imacp_c,R03457,R03457,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IGPS,M_2cpr5p_c + M_h_c => M_3ig3p_c + M_co2_c + M_h2o_c,R03508,R03508,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ILETA,M_akg_c + M_ile__L_c <=> M_3mop_c + M_glu__L_c,R02199,R02199,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ILETRS,M_atp_c + M_ile__L_c + M_trnaile_c => M_amp_c + M_iletrna_c + M_ppi_c,R03656,R03656,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IMPC,M_h2o_c + M_imp_c <=> M_fprica_c,R01127,R01127,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IMPD,M_h2o_c + M_imp_c + M_nad_c => M_h_c + M_nadh_c + M_xmp_c,R01130,R01130,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_INSH,M_h2o_c + M_ins_c => M_hxan_c + M_rib__D_c,R01770,R01770,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IPDDI,M_ipdp_c <=> M_dmpp_c,R01123,R01123,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IPMD,M_3c2hmp_c + M_nad_c => M_3c4mop_c + M_h_c + M_nadh_c,R04426,R04426,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IPPMIa,M_3c2hmp_c <=> M_2ippm_c + M_h2o_c,R04001,R04001,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IPPMIb,M_2ippm_c + M_h2o_c <=> M_3c3hmp_c,R03968,R03968,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IPPS,M_3mob_c + M_accoa_c + M_h2o_c => M_3c3hmp_c + M_coa_c + M_h_c,R01213,R01213,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_IZPN,M_4izp_c + M_h2o_c => M_forglu_c + M_h_c,R02288,R02288,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_KARA1,M_23dhmb_c + M_nadp_c <=> M_alac__S_c + M_h_c + M_nadph_c,R04439,R04439,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_KAS14,M_acACP_c + M_h_c + M_malACP_c => M_ACP_c + M_actACP_c + M_co2_c,R04355,R04355,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_KAS15,M_accoa_c + M_h_c + M_malACP_c => M_actACP_c + M_co2_c + M_coa_c,R10707,R10707,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_KAT1,M_aacoa_c + M_coa_c => 2 M_accoa_c,R00238,R00238,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_KDOPS,M_ara5p_c + M_h2o_c + M_pep_c => M_kdo8p_c + M_pi_c,R03254,R03254,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LCADi,M_h2o_c + M_lald__L_c + M_nad_c => 2 M_h_c + M_lac__L_c + M_nadh_c,R01446,R01446,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LDH_D,M_lac__D_c + M_nad_c <=> M_h_c + M_nadh_c + M_pyr_c,R00704,R00704,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LEUTA,M_akg_c + M_leu__L_c <=> M_4mop_c + M_glu__L_c,R01090,R01090,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LEUTRS,M_atp_c + M_leu__L_c + M_trnaleu_c => M_amp_c + M_leutrna_c + M_ppi_c,R03657,R03657,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LGTHL,M_gthrd_c + M_mthgxl_c => M_lgt__S_c,R02530,R02530,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LLEUDr,M_h2o_c + M_leu__L_c + M_nad_c <=> M_4mop_c + M_h_c + M_nadh_c + M_nh4_c,R01088,R01088,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LPCOXc,M_Lpipecol_c + M_o2_c => M_h2o2_c + M_h_c + M_thp2c_c,R02204,R02204,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LSERDHr,M_nadp_c + M_ser__L_c <=> M_2amsa_c + M_h_c + M_nadph_c,R06126,R06126,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LTDCL,M_h_c + M_trp__L_c => M_co2_c + M_trypta_c,R00685,R00685,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LYSDC,M_h_c + M_lys__L_c => M_15dap_c + M_co2_c,R00462,R00462,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LYSMO,M_lys__L_c + M_o2_c => M_5apentam_c + M_co2_c + M_h2o_c + M_h_c,R00449,R00449,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LYSRC,M_lys__L_c <=> M_lys__D_c,R00460,R00460,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_LYSTRS,M_atp_c + M_lys__L_c + M_trnalys_c => M_amp_c + M_lystrna_c + M_ppi_c,R03658,R03658,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MACACI,M_4mlacac_c => M_4fumacac_c,R03181,R03181,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MACCOAT,M_2maacoa_c + M_coa_c => M_accoa_c + M_ppcoa_c,R00927,R00927,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MACPD,M_h_c + M_malACP_c => M_acACP_c + M_co2_c,R09482,R09482,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MALEI,M_male_c <=> M_fum_c,R01087,R01087,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MALS,M_accoa_c + M_glx_c + M_h2o_c => M_coa_c + M_h_c + M_mal__L_c,R00472,R00472,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MAN1PT,M_gtp_c + M_h_c + M_man1p_c => M_gdpmann_c + M_ppi_c,R00885,R00885,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MAN1PT2,M_gdp_c + M_h_c + M_man1p_c => M_gdpmann_c + M_pi_c,R00883,R00883,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MAN6PI,M_man6p_c <=> M_f6p_c,R01819,R01819,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MBCOAi,M_fad_c + M_ivcoa_c => M_3mb2coa_c + M_fadh2_c,R04095,R04095,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MCCC,M_3mb2coa_c + M_atp_c + M_hco3_c => M_3mgcoa_c + M_adp_c + M_h_c + M_pi_c,R04138,R04138,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MCITD,M_2mcit_c => M_2mcacn_c + M_h2o_c,R04424,R04424,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MCITL2,M_micit_c <=> M_pyr_c + M_succ_c,R00409,R00409,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MCITS,M_h2o_c + M_oaa_c + M_ppcoa_c => M_2mcit_c + M_coa_c + M_h_c,R00931,R00931,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MCOATA,M_ACP_c + M_malcoa_c <=> M_coa_c + M_malACP_c,R01626,R01626,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MCSNAH,M_5mcsn_c + M_h2o_c + M_h_c => M_nh4_c + M_thym_c,R01411,R01411,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MDH,M_mal__L_c + M_nad_c <=> M_h_c + M_nadh_c + M_oaa_c,R00342,R00342,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ME2,M_mal__L_c + M_nadp_c => M_co2_c + M_nadph_c + M_pyr_c,R00216,R00216,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MECDPS_copy1,M_2p4c2me_c => M_2mecdp_c + M_cmp_c,R05637,R05637,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MECDPS_copy2,M_2p4c2me_c => M_2mecdp_c + M_cmp_c,R05637,R05637,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MEPCT,M_2me4p_c + M_ctp_c + M_h_c => M_4c2me_c + M_ppi_c,R05633,R05633,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_METAT,M_atp_c + M_h2o_c + M_met__L_c => M_amet_c + M_pi_c + M_ppi_c,R00177,R00177,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_METGL,M_h2o_c + M_met__L_c => M_2obut_c + M_ch4s_c + M_nh4_c,R00654,R00654,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_METS,M_5mthf_c + M_hcys__L_c => M_h_c + M_met__L_c + M_thf_c,R00946,R00946,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_METSOXR1,M_metsox_S__L_c + M_trdrd_c => M_h2o_c + M_met__L_c + M_trdox_c,R02025,R02025,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_METSOXR2,M_metsox_R__L_c + M_trdrd_c => M_h2o_c + M_met__L_c + M_trdox_c,R07608,R07608,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_METTRS,M_atp_c + M_met__L_c + M_trnamet_c => M_amp_c + M_mettrna_c + M_ppi_c,R03659,R03659,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MI1PP,M_h2o_c + M_mi1p__D_c => M_inost_c + M_pi_c,R01185,R01185,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MICITDr,M_2mcacn_c + M_h2o_c <=> M_micit_c,R04425,R04425,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MMSAD3,M_coa_c + M_msa_c + M_nad_c => M_accoa_c + M_co2_c + M_nadh_c,R00705,R00705,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MMTSAO,M_coa_c + M_mmtsa_c + M_nad_c => M_co2_c + M_nadh_c + M_ppcoa_c,R00935,R00935,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MOHMT,M_3mob_c + M_h2o_c + M_mlthf_c => M_2dhp_c + M_thf_c,R01226,R01226,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MPTAT,M_atp_c + M_h_c + M_mpt_c => M_mptamp_c + M_ppi_c,R09726,R09726,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MTHFC,M_h2o_c + M_methf_c <=> M_10fthf_c + M_h_c,R01655,R01655,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MTHFD,M_mlthf_c + M_nadp_c <=> M_methf_c + M_nadph_c,R01220,R01220,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MTHFR2,2 M_h_c + M_mlthf_c + M_nadh_c => M_5mthf_c + M_nad_c,R07168,R07168,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MTI,M_tre_c <=> M_malt_c,R01557;R06218,R01557,2,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MTOLDOX,M_h_c + M_m_tol_c + M_nadh_c + M_o2_c => M_dh3mchc_c + M_nad_c,R05665,R05665,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MTRI,M_5mdr1p_c <=> M_5mdru1p_c,R04420,R04420,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MUCCYCI,M_ccmuac_c + M_h_c <=> M_mucl_c,R03959,R03959,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MUCCY_kt,M_CCbuttc_c + M_h_c => M_4cml_c,R03307,R03307,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MUCLI,M_mucl_c <=> M_5odhf2a_c,R04260,R04260,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_MXMO,M_h_c + M_m_xyl_c + M_nadh_c + M_o2_c => M_3mbzalc_c + M_h2o_c + M_nad_c,R05443,R05443,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NADDP,M_h2o_c + M_nad_c => M_amp_c + 2 M_h_c + M_nmn_c,R00103,R00103,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NADHPO,M_h2o2_c + M_h_c + M_nadh_c => 2 M_h2o_c + M_nad_c,R00090,R00090,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NADK,M_atp_c + M_nad_c => M_adp_c + M_h_c + M_nadp_c,R00104,R00104,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NADN,M_h2o_c + M_nad_c => M_adprib_c + M_h_c + M_ncam_c,R00102,R00102,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NADS1,M_atp_c + M_dnad_c + M_nh4_c => M_amp_c + M_h_c + M_nad_c + M_ppi_c,R00189,R00189,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NADTRHD,M_nad_c + M_nadph_c => M_nadh_c + M_nadp_c,R00112,R00112,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NAMNPP,M_atp_c + M_h2o_c + M_nac_c + M_prpp_c => M_adp_c + M_nicrnt_c + M_pi_c + M_ppi_c,R01724,R01724,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NDPK1,M_atp_c + M_gdp_c <=> M_adp_c + M_gtp_c,R00330,R00330,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NDPK2,M_atp_c + M_udp_c <=> M_adp_c + M_utp_c,R00156,R00156,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NDPK3,M_atp_c + M_cdp_c <=> M_adp_c + M_ctp_c,R00570,R00570,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NDPK4,M_atp_c + M_dtdp_c <=> M_adp_c + M_dttp_c,R02093,R02093,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NDPK5,M_atp_c + M_dgdp_c <=> M_adp_c + M_dgtp_c,R01857,R01857,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NDPK6,M_atp_c + M_dudp_c <=> M_adp_c + M_dutp_c,R02331,R02331,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NDPK7,M_atp_c + M_dcdp_c <=> M_adp_c + M_dctp_c,R02326,R02326,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NDPK8,M_atp_c + M_dadp_c <=> M_adp_c + M_datp_c,R01137,R01137,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NFMLDF,M_h2o_c + M_nfmalm_c => M_for_c + M_h_c + M_malm_c,R09126,R09126,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NITR,M_h_c + M_nadh_c + M_no3_c => M_h2o_c + M_nad_c + M_no2_c,R00794,R00794,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NMNAT,M_atp_c + M_h_c + M_nmn_c => M_nad_c + M_ppi_c,R00137,R00137,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NMNDA,M_h2o_c + M_nmn_c => M_nh4_c + M_nicrnt_c,R02322,R02322,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NNATr,M_atp_c + M_h_c + M_nicrnt_c <=> M_dnad_c + M_ppi_c,R03005,R03005,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NNDMBRT,M_dmbzid_c + M_nicrnt_c => M_5prdmbz_c + M_h_c + M_nac_c,R04148,R04148,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NNDPR,2 M_h_c + M_prpp_c + M_quln_c => M_co2_c + M_nicrnt_c + M_ppi_c,R03348,R03348,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NODOx,M_nadh_c + 2 M_no_c + 2 M_o2_c => M_h_c + M_nad_c + 2 M_no3_c,R05724,R05724,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NODOy,M_nadph_c + 2 M_no_c + 2 M_o2_c => M_h_c + M_nadp_c + 2 M_no3_c,R05725,R05725,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD1,M_dump_c + M_h2o_c => M_duri_c + M_pi_c,R02102,R02102,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD10,M_h2o_c + M_xmp_c => M_pi_c + M_xtsn_c,R02719,R02719,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD10pp,M_h2o_p + M_xmp_p => M_pi_p + M_xtsn_p,R02719,R02719,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD11,M_h2o_c + M_imp_c => M_ins_c + M_pi_c,R01126,R01126,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD11pp,M_h2o_p + M_imp_p => M_ins_p + M_pi_p,R01126,R01126,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD1pp,M_dump_p + M_h2o_p => M_duri_p + M_pi_p,R02102,R02102,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD2,M_h2o_c + M_ump_c => M_pi_c + M_uri_c,R00963,R00963,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD2pp,M_h2o_p + M_ump_p => M_pi_p + M_uri_p,R00963,R00963,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD3,M_dcmp_c + M_h2o_c => M_dcyt_c + M_pi_c,R01664,R01664,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD3pp,M_dcmp_p + M_h2o_p => M_dcyt_p + M_pi_p,R01664,R01664,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD4,M_cmp_c + M_h2o_c => M_cytd_c + M_pi_c,R00511,R00511,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD4pp,M_cmp_p + M_h2o_p => M_cytd_p + M_pi_p,R00511,R00511,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD5,M_dtmp_c + M_h2o_c => M_pi_c + M_thymd_c,R01569,R01569,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD5pp,M_dtmp_p + M_h2o_p => M_pi_p + M_thymd_p,R01569,R01569,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD6,M_damp_c + M_h2o_c => M_dad_2_c + M_pi_c,R02088,R02088,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD6pp,M_damp_p + M_h2o_p => M_dad_2_p + M_pi_p,R02088,R02088,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD7,M_amp_c + M_h2o_c => M_adn_c + M_pi_c,R00183,R00183,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD7pp,M_amp_p + M_h2o_p => M_adn_p + M_pi_p,R00183,R00183,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD8,M_dgmp_c + M_h2o_c => M_dgsn_c + M_pi_c,R01968,R01968,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD8pp,M_dgmp_p + M_h2o_p => M_dgsn_p + M_pi_p,R01968,R01968,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD9,M_gmp_c + M_h2o_c => M_gsn_c + M_pi_c,R01227,R01227,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTD9pp,M_gmp_p + M_h2o_p => M_gsn_p + M_pi_p,R01227,R01227,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTP1,M_atp_c + M_h2o_c => M_adp_c + M_h_c + M_pi_c,R00086,R00086,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTP10,M_h2o_c + M_itp_c => M_h_c + M_idp_c + M_pi_c,R00719,R00719,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTP3,M_gtp_c + M_h2o_c => M_gdp_c + M_h_c + M_pi_c,R00335,R00335,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTP5,M_ctp_c + M_h2o_c => M_cdp_c + M_h_c + M_pi_c,R00569,R00569,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP1,M_dgtp_c + M_h2o_c => M_dgmp_c + M_h_c + M_ppi_c,R01855,R01855,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP10,M_ditp_c + M_h2o_c => M_dimp_c + M_h_c + M_ppi_c,R03531,R03531,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP11,M_h2o_c + M_xtp_c => M_h_c + M_ppi_c + M_xmp_c,R02720,R02720,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP2,M_gtp_c + M_h2o_c => M_gmp_c + M_h_c + M_ppi_c,R00426,R00426,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP3,M_dctp_c + M_h2o_c => M_dcmp_c + M_h_c + M_ppi_c,R01668,R01668,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP4,M_ctp_c + M_h2o_c => M_cmp_c + M_h_c + M_ppi_c,R00515,R00515,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP6,M_atp_c + M_h2o_c => M_amp_c + M_h_c + M_ppi_c,R00087,R00087,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP7,M_dttp_c + M_h2o_c => M_dtmp_c + M_h_c + M_ppi_c,R11323,R11323,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP8,M_h2o_c + M_utp_c => M_h_c + M_ppi_c + M_ump_c,R00662,R00662,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPP9,M_h2o_c + M_itp_c => M_h_c + M_imp_c + M_ppi_c,R00720,R00720,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTPTP1,M_dgtp_c + M_h2o_c => M_dgsn_c + M_pppi_c,R01856,R01856,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_NTRIR2x,5 M_h_c + 3 M_nadh_c + M_no2_c => 2 M_h2o_c + 3 M_nad_c + M_nh4_c,R00787,R00787,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OAADC,M_h_c + M_oaa_c => M_co2_c + M_pyr_c,R00217,R00217,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OARGDC,M_5g2oxpt_c + M_h_c => M_co2_c + M_gdbtal_c,R03178,R03178,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OCBT,M_cbp_c + M_orn_c => M_citr__L_c + M_h_c + M_pi_c,R01398,R01398,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OCOAT1,M_acac_c + M_succoa_c => M_aacoa_c + M_succ_c,R00410,R00410,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OCTDPS,M_frdp_c + 5 M_ipdp_c => M_octdp_c + 5 M_ppi_c,R09248,R09248,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OGMEACPD,M_hgmeACP_c => M_egmeACP_c + M_h2o_c,R10117,R10117,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OHPBAT,M_glu__L_c + M_ohpb_c <=> M_akg_c + M_phthr_c,R05085,R05085,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OHPHM,M_2ohph_c + M_amet_c => M_2omph_c + M_ahcys_c + M_h_c,R04988,R04988,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OIVD1r,M_4mop_c + M_coa_c + M_nad_c <=> M_co2_c + M_ivcoa_c + M_nadh_c,R01651,R01651,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OIVD2,M_3mob_c + M_coa_c + M_nad_c => M_co2_c + M_ibcoa_c + M_nadh_c,R01210,R01210,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OMCDC,M_3c4mop_c + M_h_c => M_4mop_c + M_co2_c,R01652,R01652,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OMPDC,M_h_c + M_orot5p_c => M_co2_c + M_ump_c,R00965,R00965,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OP4ENH2,M_2hchd_c + M_h2o_c => M_4hoxoh_c,R05864,R05864,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OPAH,M_5oxpro_c + M_atp_c + 2 M_h2o_c => M_adp_c + M_glu__L_c + M_h_c + M_pi_c,R00251,R00251,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OPHBDC,M_3ophb_c + M_h_c => M_2oph_c + M_co2_c,R04986,R04986,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OPMEACPD,M_hpmeACP_c => M_epmeACP_c + M_h2o_c,R10121,R10121,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ORNCD,M_orn_c => M_nh4_c + M_pro__L_c,R00671,R00671,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ORNDC,M_h_c + M_orn_c => M_co2_c + M_ptrc_c,R00670,R00670,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_ORPT,M_orot5p_c + M_ppi_c <=> M_orot_c + M_prpp_c,R01870,R01870,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OXOAEL,M_5odhf2a_c + M_h2o_c => M_3oxoadp_c + M_h_c,R02991,R02991,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_OXPTNDH,M_h2o_c + M_nad_c + M_oxptn_c <=> M_glutar_c + 2 M_h_c + M_nadh_c,R02401,R02401,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_P5CD,M_1pyr5c_c + 2 M_h2o_c + M_nad_c => M_glu__L_c + M_h_c + M_nadh_c,R00707,R00707,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_P5CR,M_1pyr5c_c + 2 M_h_c + M_nadph_c => M_nadp_c + M_pro__L_c,R01251,R01251,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PACCOAL,M_atp_c + M_coa_c + M_pac_c => M_amp_c + M_phaccoa_c + M_ppi_c,R02539,R02539,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PANTS,M_ala_B_c + M_atp_c + M_pant__R_c => M_amp_c + M_h_c + M_pnto__R_c + M_ppi_c,R02473,R02473,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PAPSR,M_paps_c + M_trdrd_c => 2 M_h_c + M_pap_c + M_so3_c + M_trdox_c,R02021,R02021,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PC,M_atp_c + M_hco3_c + M_pyr_c => M_adp_c + M_h_c + M_oaa_c + M_pi_c,R00344,R00344,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PC11M,M_amet_c + M_pre4_c => M_ahcys_c + M_h_c + M_pre5_c,R05181,R05181,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PC17M,M_amet_c + M_pre3b_c => M_ahcys_c + 3 M_h_c + M_pre4_c,R05180,R05180,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PC20M,M_amet_c + M_dscl_c => M_ahcys_c + M_h_c + M_pre3a_c,R03948,R03948,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PC6AR,M_h_c + M_nadph_c + M_pre6a_c => M_nadp_c + M_pre6b_c,R05150,R05150,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PC6YM,2 M_amet_c + M_pre6b_c => 2 M_ahcys_c + M_co2_c + 2 M_h_c + M_pre8_c,R05149,R05149,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PC8XM,M_h_c + M_pre8_c => M_hgbyr_c,R05177,R05177,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PCADYOX,M_34dhbz_c + M_o2_c => M_CCbuttc_c + 2 M_h_c,R01631,R01631,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PDE1,M_camp_c + M_h2o_c => M_amp_c + M_h_c,R00191,R00191,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PDE4,M_35cgmp_c + M_h2o_c => M_gmp_c + M_h_c,R01234,R01234,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PDH,M_coa_c + M_nad_c + M_pyr_c => M_accoa_c + M_co2_c + M_nadh_c,R00209,R00209,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PDHcr,M_dhlam_c + M_nad_c <=> M_h_c + M_lpam_c + M_nadh_c,R01698,R01698,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PDX5POi,M_o2_c + M_pdx5p_c => M_h2o2_c + M_pydx5p_c,R00278,R00278,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PERD,M_4per_c + M_nad_c <=> M_h_c + M_nadh_c + M_ohpb_c,R04210,R04210,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PGAMT,M_gam1p_c <=> M_gam6p_c,R02060,R02060,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PGCD,M_3pg_c + M_nad_c => M_3php_c + M_h_c + M_nadh_c,R01513,R01513,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PGK,M_3pg_c + M_atp_c <=> M_13dpg_c + M_adp_c,R01512,R01512,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PGL,M_6pgl_c + M_h2o_c => M_6pgc_c + M_h_c,R02035,R02035,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PGLCNDH,M_6p2dhglcn_c + M_nadph_c <=> M_6pgc_c + 2 M_h_c + M_nadp_c,R02034,R02034,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PGLYCP,M_2pglyc_c + M_h2o_c => M_glyclt_c + M_pi_c,R01334,R01334,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PGM,M_2pg_c <=> M_3pg_c,R01518,R01518,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PGMT,M_g1p_c <=> M_g6p_c,R08639,R08639,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PHETA1,M_akg_c + M_phe__L_c <=> M_glu__L_c + M_phpyr_c,R00694,R00694,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PHETRS,M_atp_c + M_phe__L_c + M_trnaphe_c => M_amp_c + M_phetrna_c + M_ppi_c,R03660,R03660,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PMANM,M_man1p_c <=> M_man6p_c,R01818,R01818,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PMDPHT,M_5aprbu_c + M_h2o_c => M_4r5au_c + M_pi_c,R07280,R07280,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PMEACPE,M_h2o_c + M_pmeACP_c => M_meoh_c + M_pimACP_c,R09725,R09725,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PNTK,M_atp_c + M_pnto__R_c => M_4ppan_c + M_adp_c + M_h_c,R03018,R03018,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPA,M_h2o_c + M_ppi_c => M_h_c + 2 M_pi_c,R00004,R00004,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPA2,M_h2o_c + M_pppi_c => M_h_c + M_pi_c + M_ppi_c,R00138,R00138,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPBNGS,2 M_5aop_c => 2 M_h2o_c + M_h_c + M_ppbng_c,R00036,R00036,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPC,M_co2_c + M_h2o_c + M_pep_c => M_h_c + M_oaa_c + M_pi_c,R00345,R00345,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPCDC,M_4ppcys_c + M_h_c => M_co2_c + M_pan4p_c,R03269,R03269,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPCK,M_atp_c + M_oaa_c => M_adp_c + M_co2_c + M_pep_c,R00341,R00341,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPGPPDP,M_h2o_c + M_ppgpp_c => M_gdp_c + M_ppi_c,R00336,R00336,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPNCL2,M_4ppan_c + M_ctp_c + M_cys__L_c => M_4ppcys_c + M_cmp_c + M_h_c + M_ppi_c,R04231,R04231,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPND,M_nad_c + M_pphn_c => M_34hpp_c + M_co2_c + M_nadh_c,R01728,R01728,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPNDH,M_h_c + M_pphn_c => M_co2_c + M_h2o_c + M_phpyr_c,R01373,R01373,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPRGL,M_atp_c + M_gly_c + M_pram_c => M_adp_c + M_gar_c + 2 M_h_c + M_pi_c,R04144,R04144,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPS,M_atp_c + M_h2o_c + M_pyr_c => M_amp_c + 2 M_h_c + M_pep_c + M_pi_c,R00199,R00199,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PPYRDC,M_h_c + M_phpyr_c => M_co2_c + M_pacald_c,R01377,R01377,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRAIi_copy1,M_pran_c => M_2cpr5p_c,R03509,R03509,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRAIi_copy2,M_pran_c => M_2cpr5p_c,R03509,R03509,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRAMPC_copy1,M_h2o_c + M_prbamp_c => M_prfp_c,R04037,R04037,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRAMPC_copy2,M_h2o_c + M_prbamp_c => M_prfp_c,R04037,R04037,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRASCSi_copy1,M_5aizc_c + M_asp__L_c + M_atp_c => M_25aics_c + M_adp_c + M_h_c + M_pi_c,R04591,R04591,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRASCSi_copy2,M_5aizc_c + M_asp__L_c + M_atp_c => M_25aics_c + M_adp_c + M_h_c + M_pi_c,R04591,R04591,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRATPP,M_h2o_c + M_prbatp_c => M_h_c + M_ppi_c + M_prbamp_c,R04035,R04035,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRMICI_copy1,M_prfp_c <=> M_prlp_c,R04640,R04640,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PRMICI_copy2,M_prfp_c => M_prlp_c,R04640,R04640,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PROD2,M_fad_c + M_pro__L_c => M_1pyr5c_c + M_fadh2_c + M_h_c,R10507,R10507,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PROTRS,M_atp_c + M_pro__L_c + M_trnapro_c => M_amp_c + M_ppi_c + M_protrna_c,R03661,R03661,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PSCVT_copy1,M_pep_c + M_skm5p_c <=> M_3psme_c + M_pi_c,R03460,R03460,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PSCVT_copy2,M_pep_c + M_skm5p_c => M_3psme_c + M_pi_c,R03460,R03460,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PSERT,M_3php_c + M_glu__L_c => M_akg_c + M_pser__L_c,R04173,R04173,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PSP_L,M_h2o_c + M_pser__L_c => M_pi_c + M_ser__L_c,R00582,R00582,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PTA2,M_pi_c + M_ppcoa_c => M_coa_c + M_ppap_c,R00921,R00921,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PTAr,M_accoa_c + M_pi_c <=> M_actp_c + M_coa_c,R00230,R00230,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PTOLDOX,M_h_c + M_nadh_c + M_o2_c + M_p_tol_c => M_dh4mchc_c + M_nad_c,R05290,R05290,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PTPATi,M_atp_c + M_h_c + M_pan4p_c => M_dpcoa_c + M_ppi_c,R03035,R03035,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PTRCTA,M_akg_c + M_ptrc_c => M_4abutn_c + M_glu__L_c,R01155,R01155,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PUTA3,M_glu5sa_c + M_h2o_c + M_nad_c => M_glu__L_c + 2 M_h_c + M_nadh_c,R00245,R00245,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PXMO,M_h_c + M_nadh_c + M_o2_c + M_p_xyl_c => M_4mbzalc_c + M_h2o_c + M_nad_c,R05288,R05288,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PYAM5PO,M_h2o_c + M_o2_c + M_pyam5p_c => M_h2o2_c + M_nh4_c + M_pydx5p_c,R00277,R00277,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PYDAMK,M_atp_c + M_pydam_c => M_adp_c + M_h_c + M_pyam5p_c,R02493,R02493,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PYDXK,M_atp_c + M_pydx_c => M_adp_c + M_h_c + M_pydx5p_c,R00174,R00174,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PYDXNK,M_atp_c + M_pydxn_c => M_adp_c + M_h_c + M_pdx5p_c,R01909,R01909,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PYK,M_adp_c + M_h_c + M_pep_c => M_atp_c + M_pyr_c,R00200,R00200,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PYNP2r,M_pi_c + M_uri_c <=> M_r1p_c + M_ura_c,R01876,R01876,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PYRDOX,M_dhpyr_c + M_o2_c => M_h_c + M_nfmalm_c,R09125,R09125,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_PYRZAM,M_h2o_c + M_malm_c => M_male_c + M_nh4_c,R03540,R03540,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_QUIDH,M_pqq_c + M_quin_c => M_3dhq_c + M_pqqh2_c,R01873,R01873,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_QULNS,M_dhap_c + M_iasp_c => 2 M_h2o_c + M_pi_c + M_quln_c,R04292,R04292,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_R05219,M_amet_c + M_h2o_c + M_pre5_c => M_ac_c + M_ahcys_c + M_h_c + M_pre6a_c,R05219,R05219,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_R15BPK,M_atp_c + M_r15bp_c => M_adp_c + M_prpp_c,R06836,R06836,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RBFK,M_atp_c + M_ribflv_c => M_adp_c + M_fmn_c + M_h_c,R00549,R00549,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RBFSa,M_4r5au_c + M_db4p_c => M_dmlz_c + 2 M_h2o_c + M_pi_c,R04457,R04457,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RBFSb,2 M_dmlz_c => M_4r5au_c + M_ribflv_c,R00066,R00066,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RNDR1,M_adp_c + M_trdrd_c => M_dadp_c + M_h2o_c + M_trdox_c,R02017,R02017,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RNDR2,M_gdp_c + M_trdrd_c => M_dgdp_c + M_h2o_c + M_trdox_c,R02019,R02019,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RNDR3,M_cdp_c + M_trdrd_c => M_dcdp_c + M_h2o_c + M_trdox_c,R02024,R02024,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RNDR4,M_trdrd_c + M_udp_c => M_dudp_c + M_h2o_c + M_trdox_c,R02018,R02018,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RPE,M_ru5p__D_c <=> M_xu5p__D_c,R01529,R01529,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_RZ5PP,M_5prdmbz_c + M_h2o_c => M_pi_c + M_rdmbzi_c,R04594,R04594,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_S7PI,M_s7p_c => M_gmhep7p_c,R05645;R09768,R05645,2,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SADH,2 M_h2o_c + 2 M_h_c + M_sucarg_c => M_co2_c + 2 M_nh4_c + M_sucorn_c,R04189,R04189,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SADT,M_atp_c + M_h_c + M_so4_c => M_aps_c + M_ppi_c,R00529,R00529,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SARCOX,M_h2o_c + M_o2_c + M_sarcs_c => M_fald_c + M_gly_c + M_h2o2_c,R00610,R00610,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SDPDS,M_h2o_c + M_sl26da_c => M_26dap_LL_c + M_succ_c,R02734,R02734,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SDPTA,M_akg_c + M_sl26da_c <=> M_glu__L_c + M_sl2a6o_c,R04475,R04475,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SELCYSS,M_selnp_c + M_sertrna_sec_c => M_h_c + M_pi_c + M_sectrna_c,R08219,R08219,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SELGTHR,4 M_gthrd_c + 2 M_h_c + M_slnt_c => M_dgslnt_c + M_gthox_c + 3 M_h2o_c,R09367,R09367,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SELMETAT,M_atp_c + M_h2o_c + M_selmeth_c => M_pi_c + M_ppi_c + M_seasmet_c,R04771,R04771,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SELNPS,M_atp_c + M_h2o_c + M_seln_c => M_amp_c + M_pi_c + M_selnp_c,R03595,R03595,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SERAT_copy1,M_accoa_c + M_ser__L_c <=> M_acser_c + M_coa_c,R00586,R00586,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SERAT_copy2,M_accoa_c + M_ser__L_c => M_acser_c + M_coa_c,R00586,R00586,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SERD_L,M_ser__L_c => M_nh4_c + M_pyr_c,R00220;R00223,R00220,2,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SERTRS,M_atp_c + M_ser__L_c + M_trnaser_c => M_amp_c + M_ppi_c + M_sertrna_c,R03662,R03662,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SFGTHi,M_Sfglutth_c + M_h2o_c => M_for_c + M_gthrd_c + M_h_c,R00527,R00527,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SGDS,M_h2o_c + M_sucglu_c => M_glu__L_c + M_succ_c,R00411,R00411,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SGSAD,M_h2o_c + M_nad_c + M_sucgsa_c => 2 M_h_c + M_nadh_c + M_sucglu_c,R05049,R05049,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SHCHD2,M_dscl_c + M_nad_c => M_h_c + M_nadh_c + M_scl_c,R03947,R03947,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SHCHF,M_fe2_c + M_scl_c => 3 M_h_c + M_sheme_c,R02864,R02864,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SHK3Dr,M_3dhsk_c + M_h_c + M_nadph_c <=> M_nadp_c + M_skm_c,R02413,R02413,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SHKK,M_atp_c + M_skm_c => M_adp_c + M_h_c + M_skm5p_c,R02412,R02412,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SHSL1,M_cys__L_c + M_suchms_c => M_cyst__L_c + M_h_c + M_succ_c,R03260,R03260,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SHSL2r,M_h2s_c + M_suchms_c => M_h_c + M_hcys__L_c + M_succ_c,R01288,R01288,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SLCYSS,M_acser_c + M_tsul_c => M_ac_c + M_scys__L_c,R03132,R03132,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SOTA,M_akg_c + M_sucorn_c => M_glu__L_c + M_sucgsa_c,R04217,R04217,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SPODM,2 M_h_c + 2 M_o2s_c => M_h2o2_c + M_o2_c,R00275,R00275,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SSALx,M_h2o_c + M_nad_c + M_sucsal_c => 2 M_h_c + M_nadh_c + M_succ_c,R00713,R00713,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SSALy,M_h2o_c + M_nadp_c + M_sucsal_c => 2 M_h_c + M_nadph_c + M_succ_c,R00714,R00714,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SUCOAS,M_atp_c + M_coa_c + M_succ_c <=> M_adp_c + M_pi_c + M_succoa_c,R00405,R00405,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_SULR,5 M_h_c + 3 M_nadph_c + M_so3_c => 3 M_h2o_c + M_h2s_c + 3 M_nadp_c,R00858,R00858,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TALA,M_g3p_c + M_s7p_c <=> M_e4p_c + M_f6p_c,R01827,R01827,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TAUDO,M_akg_c + M_o2_c + M_taur_c => M_aacald_c + M_co2_c + M_h_c + M_so3_c + M_succ_c,R05320,R05320,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TDP,M_h2o_c + M_thmpp_c => M_h_c + M_pi_c + M_thmmp_c,R00615,R00615,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TDPDRE,M_dtdp4d6dg_c => M_dtdp4d6dm_c,R06514,R06514,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TDPDRR,M_dtdp4d6dm_c + M_h_c + M_nadph_c => M_dtdprmn_c + M_nadp_c,R02777,R02777,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TDPGDH,M_dtdpglu_c => M_dtdp4d6dg_c + M_h2o_c,R06513,R06513,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_THDPS,M_h2o_c + M_succoa_c + M_thdp_c => M_coa_c + M_sl2a6o_c,R04365,R04365,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_THFAT,M_h2o_c + M_methf_c => M_5fthf_c + M_h_c,R02300,R02300,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_THRA,M_thr__L_c <=> M_acald_c + M_gly_c,R00751,R00751,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_THRD_L,M_thr__L_c => M_2obut_c + M_nh4_c,R00996,R00996,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_THRS,M_h2o_c + M_phom_c => M_pi_c + M_thr__L_c,R01466,R01466,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_THRTRS,M_atp_c + M_thr__L_c + M_trnathr_c => M_amp_c + M_ppi_c + M_thrtrna_c,R03663,R03663,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TKT2,M_e4p_c + M_xu5p__D_c <=> M_f6p_c + M_g3p_c,R01830,R01830,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TMDS,M_dump_c + M_mlthf_c => M_dhf_c + M_dtmp_c,R02101,R02101,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TMPK,M_atp_c + M_thmmp_c => M_adp_c + M_thmpp_c,R00617,R00617,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TMPPP,M_2mahmp_c + M_4mpetz_c + M_h_c => M_ppi_c + M_thmmp_c,R03223,R03223,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TPI,M_dhap_c <=> M_g3p_c,R01015,R01015,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TRDR,M_h_c + M_nadph_c + M_trdox_c => M_nadp_c + M_trdrd_c,R02016,R02016,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TRPS1_copy1,M_3ig3p_c + M_ser__L_c => M_g3p_c + M_h2o_c + M_trp__L_c,R02722,R02722,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TRPS1_copy2,M_3ig3p_c + M_ser__L_c => M_g3p_c + M_h2o_c + M_trp__L_c,R02722,R02722,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TRPS2,M_indole_c + M_ser__L_c => M_h2o_c + M_trp__L_c,R00674,R00674,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TRPS3,M_3ig3p_c => M_g3p_c + M_indole_c,R02340,R02340,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TRPTRS,M_atp_c + M_trnatrp_c + M_trp__L_c => M_amp_c + M_ppi_c + M_trptrna_c,R03664,R03664,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TRSARr,M_2h3oppan_c + M_h_c + M_nadh_c <=> M_glyc__R_c + M_nad_c,R01745,R01745,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TRYPTAOX,M_h2o_c + M_o2_c + M_trypta_c => M_h2o2_c + M_id3acald_c + M_nh4_c,R02173,R02173,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TYRTA,M_akg_c + M_tyr__L_c <=> M_34hpp_c + M_glu__L_c,R00734,R00734,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_TYRTRS,M_atp_c + M_trnatyr_c + M_tyr__L_c => M_amp_c + M_ppi_c + M_tyrtrna_c,R02918,R02918,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UAG2E,M_uacgam_c <=> M_uacmam_c,R00420,R00420,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UAGCVT,M_pep_c + M_uacgam_c => M_pi_c + M_uaccg_c,R00660,R00660,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UAGPT3,M_uacgam_c + M_uagmda_c => M_h_c + M_uaagmda_c + M_udp_c,R05032;R06174,R05032,2,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UAMAGS,M_atp_c + M_glu__D_c + M_uama_c => M_adp_c + M_h_c + M_pi_c + M_uamag_c,R02783,R02783,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UAMAS,M_ala__L_c + M_atp_c + M_uamr_c => M_adp_c + M_h_c + M_pi_c + M_uama_c,R03193,R03193,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UAPGR,M_h_c + M_nadph_c + M_uaccg_c => M_nadp_c + M_uamr_c,R03192,R03192,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UDPG4E,M_udpg_c <=> M_udpgal_c,R00291,R00291,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UGLYCH,M_h2o_c + 2 M_h_c + M_urdglyc_c => M_co2_c + M_glx_c + 2 M_nh4_c,R00469,R00469,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UMPK,M_atp_c + M_ump_c <=> M_adp_c + M_udp_c,R00158,R00158,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UNK3,M_2kmb_c + M_glu__L_c => M_akg_c + M_met__L_c,R07396,R07396,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UPP3MT,2 M_amet_c + M_uppg3_c => 2 M_ahcys_c + M_dscl_c + M_h_c,R03194,R03194,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UPP3S,M_hmbil_c => M_h2o_c + M_uppg3_c,R03165,R03165,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UPPDC1,4 M_h_c + M_uppg3_c => 4 M_co2_c + M_cpppg3_c,R03197,R03197,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UPPN,M_cala_c + M_h2o_c + 2 M_h_c => M_ala_B_c + M_co2_c + M_nh4_c,R00905,R00905,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UPPRT,M_prpp_c + M_ura_c => M_ppi_c + M_ump_c,R00966,R00966,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_URCN,M_h2o_c + M_urcan_c => M_4izp_c,R02914,R02914,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_UREA,M_h2o_c + 2 M_h_c + M_urea_c => M_co2_c + 2 M_nh4_c,R00131,R00131,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_URIDK2r,M_atp_c + M_dump_c <=> M_adp_c + M_dudp_c,R02098,R02098,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_URIH,M_h2o_c + M_uri_c => M_rib__D_c + M_ura_c,R01080,R01080,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_VALDHr,M_h2o_c + M_nad_c + M_val__L_c <=> M_3mob_c + M_h_c + M_nadh_c + M_nh4_c,R01434,R01434,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_VALTA,M_akg_c + M_val__L_c <=> M_3mob_c + M_glu__L_c,R01214,R01214,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_VALTRS_copy1,M_atp_c + M_trnaval_c + M_val__L_c => M_amp_c + M_ppi_c + M_valtrna_c,R03665,R03665,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_VALTRS_copy2,M_atp_c + M_trnaval_c + M_val__L_c => M_amp_c + M_ppi_c + M_valtrna_c,R03665,R03665,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_VNDH,M_h2o_c + M_nad_c + M_vanln_c => 2 M_h_c + M_nadh_c + M_vanlt_c,R05699,R05699,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_VNDH_2,M_4hbald_c + M_h2o_c + M_nad_c => M_4hbz_c + 2 M_h_c + M_nadh_c,R01293,R01293,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_VNTDM,M_h_c + M_nadh_c + M_o2_c + M_vanlt_c => M_34dhbz_c + M_fald_c + M_h2o_c + M_nad_c,R05274,R05274,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_XAND,M_h2o_c + M_nad_c + M_xan_c => M_h_c + M_nadh_c + M_urate_c,R02103,R02103,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_XPPT,M_prpp_c + M_xan_c => M_ppi_c + M_xmp_c,R02142,R02142,1,,chebi,8636,False,True,,0, +BIOMD0000001093,R_XTSNH,M_h2o_c + M_xtsn_c => M_rib__D_c + M_xan_c,R02143,R02143,1,,chebi,8636,False,True,,0, diff --git a/benchmark/data/species_annotations.csv b/benchmark/data/species_annotations.csv new file mode 100644 index 0000000..1134a5c --- /dev/null +++ b/benchmark/data/species_annotations.csv @@ -0,0 +1,31976 @@ +model_id,species_id,annotation,source +BIOMD0000000013,ADP_ch,CHEBI:16761,chebi +BIOMD0000000013,ATP_ch,CHEBI:15422,chebi 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Such models are reported in ``pipeline_failures.csv`` +and must be resolved or explicitly justified; they are never silently folded +into the benchmark's exclusion statistics. + +*Scientific exclusions* are properties of the data itself and are recorded in +``exclusions.csv``: + +- model level: the model genuinely carries no KEGG reaction ground truth +- reaction level: exchange/source-sink (SSX) stoichiometry, or a malformed + ground-truth identifier + +*SSX exclusions reduce reaction counts, not model counts.* A model whose +reactions are all SSX stays in the benchmark and contributes zero evaluable +reactions; that situation is reported explicitly rather than hidden. + +*Parser problems are surfaced, not absorbed.* For every model we compare the +number of reactions whose raw annotation mentions ``kegg.reaction`` against the +number from which we actually extracted an identifier. Any shortfall indicates +a URI-form or parser defect and is flagged in ``parser_diagnostics.csv``. + +Outputs (under ``benchmark/data/``) +----------------------------------- + +``reactions.csv`` one row per (model, reaction) carrying ground truth +``model_context.csv`` model title and notes (join on ``model_id``) +``model_summary.csv`` per-model status, counts, and cluster assignment +``exclusions.csv`` scientific exclusions only +``pipeline_failures.csv`` tooling/provenance failures +``duplicate_groups.csv`` multi-member near-duplicate clusters +``model_clusters.csv`` every included model's stable cluster ID +``species_annotations.csv`` species-level annotation inventory +``parser_diagnostics.csv`` raw-vs-extracted KEGG mention comparison +``benchmark_summary.json`` observed counts and reconciliation +``invariants.json`` dataset invariant checks +``VERSION.json`` frozen version with artifact hashes + +Run from the repo root:: + + python benchmark/scripts/build_benchmark.py + python benchmark/scripts/build_benchmark.py --with-candidates +""" + +from __future__ import annotations + +import argparse +import hashlib +import json +import logging +import re +import sys +from collections import defaultdict +from pathlib import Path +from typing import Dict, List, Optional, Sequence, Set, Tuple + +import libsbml +import pandas as pd + +REPO_ROOT = Path(__file__).resolve().parents[2] +if str(REPO_ROOT) not in sys.path: + sys.path.insert(0, str(REPO_ROOT)) + +from core.model_info import ( # noqa: E402 + exchange_constraint_skipped_reaction_ids, + find_reactions_with_kegg_annotations, + find_species_with_annotations_and_qualifiers, + find_species_with_chebi_annotations, +) +from utils.constants import DatabaseID # noqa: E402 + +DEFAULT_MANIFEST = REPO_ROOT / "benchmark" / "manifest" / "models.txt" +DEFAULT_MODELS_DIR = REPO_ROOT / "benchmark" / "models" +DEFAULT_REGISTRY = REPO_ROOT / "benchmark" / "manifest" / "model_registry.json" +DEFAULT_OUTPUT_DIR = REPO_ROOT / "benchmark" / "data" + +BENCHMARK_VERSION = "phase1-v1" + +# KEGG reaction accessions are 'R' followed by exactly five digits. +VALID_KEGG_REACTION_RE = re.compile(r"^R\d{5}$") +RAW_KEGG_MENTION_RE = re.compile(r"kegg\.reaction", re.IGNORECASE) + +# Overlap thresholds for treating two models as near-duplicate variants. +DEFAULT_DUPLICATE_THRESHOLD = 0.9 +DEFAULT_CONTAINMENT_THRESHOLD = 0.9 +# Containment alone is unsafe: a 2-reaction model is trivially contained in a +# genome-scale model, which would chain unrelated models into one giant cluster. +# Containment linkage therefore also requires comparable set sizes. +DEFAULT_MIN_SIZE_RATIO = 0.5 +# Containment linkage also needs a meaningful absolute overlap: with one or two +# shared identifiers, "containment" is coincidence rather than shared lineage. +# Genuine duplicates of tiny models are still caught by the Jaccard rule. +DEFAULT_MIN_CONTAINMENT_OVERLAP = 5 + +logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") +logger = logging.getLogger("build_benchmark") + + +# --------------------------------------------------------------------------- +# Manifest and provenance +# --------------------------------------------------------------------------- + +def load_model_ids(manifest_path: Path) -> List[str]: + ids: List[str] = [] + with manifest_path.open(encoding="utf-8") as fh: + for raw in fh: + line = raw.strip() + if not line or line.startswith("#"): + continue + ids.append(line) + return ids + + +def _rel(path: Path) -> str: + """Repo-relative POSIX path when possible, else the absolute path. + + Synthetic test fixtures live outside the repository, so this must not raise. + """ + try: + return str(path.relative_to(REPO_ROOT)).replace("\\", "/") + except ValueError: + return str(path) + + +def load_registry(registry_path: Path) -> Dict[str, Dict[str, object]]: + """Map accession -> provenance entry from the download registry.""" + if not registry_path.exists(): + logger.warning("No download registry at %s; provenance cannot be verified", registry_path) + return {} + payload = json.loads(registry_path.read_text(encoding="utf-8")) + return {str(e.get("model_id")): e for e in payload.get("models", [])} + + +# --------------------------------------------------------------------------- +# SBML reading helpers (libSBML only, for determinism and speed) +# --------------------------------------------------------------------------- + +def _strip_tags(text: str) -> str: + out = re.sub(r"<[^>]*>", " ", text or "") + out = re.sub(r"\s+", " ", out) + return out.strip() + + +def read_sbml(model_file: Path) -> Tuple[Optional[libsbml.Model], str]: + """Return ``(model, error)``; ``model`` is None when parsing fails.""" + reader = libsbml.SBMLReader() + document = reader.readSBML(str(model_file)) + if document is None: + return None, "libsbml returned no document" + n_err = document.getNumErrors() + fatal = [] + for i in range(n_err): + err = document.getError(i) + if err.getSeverity() >= libsbml.LIBSBML_SEV_ERROR: + fatal.append(f"{err.getErrorId()}: {err.getShortMessage()}") + model = document.getModel() + if model is None: + detail = "; ".join(fatal[:5]) or "no model element" + return None, detail + return model, "" + + +def format_equation(reaction: libsbml.Reaction) -> str: + """Deterministic ``A + 2 B => C`` rendering from libSBML stoichiometry.""" + + def side(refs: Sequence[libsbml.SpeciesReference]) -> str: + terms = [] + for ref in refs: + sid = ref.getSpecies() + stoich = ref.getStoichiometry() if ref.isSetStoichiometry() else 1.0 + if stoich is None: + stoich = 1.0 + if abs(stoich - 1.0) < 1e-9: + terms.append(str(sid)) + elif abs(stoich - round(stoich)) < 1e-9: + terms.append(f"{int(round(stoich))} {sid}") + else: + terms.append(f"{stoich:g} {sid}") + return " + ".join(terms) + + reactants = [reaction.getReactant(i) for i in range(reaction.getNumReactants())] + products = [reaction.getProduct(i) for i in range(reaction.getNumProducts())] + arrow = "<=>" if reaction.getReversible() else "=>" + return f"{side(reactants)} {arrow} {side(products)}".strip() + + +def libsbml_ssx_reaction_ids(model: libsbml.Model) -> Set[str]: + """Reactions with no reactants or no products (source/sink/exchange style).""" + out: Set[str] = set() + for i in range(model.getNumReactions()): + rxn = model.getReaction(i) + if rxn.getNumReactants() == 0 or rxn.getNumProducts() == 0: + out.add(str(rxn.getId())) + return out + + +def raw_kegg_reaction_mentions(model: libsbml.Model) -> Tuple[int, List[str]]: + """Count reactions whose raw annotation mentions ``kegg.reaction``. + + Returns the count plus a few example annotation snippets, so a URI-form + mismatch can be diagnosed without re-reading the file by hand. + """ + count = 0 + examples: List[str] = [] + for i in range(model.getNumReactions()): + rxn = model.getReaction(i) + if not rxn.isSetAnnotation(): + continue + ann = rxn.getAnnotation().toXMLString() + if RAW_KEGG_MENTION_RE.search(ann): + count += 1 + if len(examples) < 3: + for line in ann.splitlines(): + if RAW_KEGG_MENTION_RE.search(line): + examples.append(line.strip()[:200]) + break + return count, examples + + +def misplaced_kegg_reaction_mentions(model: libsbml.Model) -> int: + """Count *species* carrying a ``kegg.reaction`` annotation. + + Reaction identifiers on a species are a curation error in the source model. + They matter here because the manifest was assembled by grepping raw file + bytes for ``kegg.reaction``, so such models were selected as + "KEGG-annotated" despite having no reaction-level ground truth at all. + """ + count = 0 + for i in range(model.getNumSpecies()): + sp = model.getSpecies(i) + if sp.isSetAnnotation() and RAW_KEGG_MENTION_RE.search(sp.getAnnotation().toXMLString()): + count += 1 + return count + + +# --------------------------------------------------------------------------- +# Species annotations +# --------------------------------------------------------------------------- + +def extract_species_annotations(model_file: Path) -> Tuple[pd.DataFrame, str]: + """Species annotation rows plus source label (chebi/kegg_compound/mixed/none).""" + chebi = find_species_with_chebi_annotations(str(model_file)) + kegg, _ = find_species_with_annotations_and_qualifiers( + str(model_file), DatabaseID.KEGG.value + ) + + rows: List[Dict[str, object]] = [] + all_ids = sorted(set(chebi.keys()) | set(kegg.keys())) + for sid in all_ids: + sid_str = str(sid) + ch_list = chebi.get(sid) if chebi else None + if ch_list: + for cid in sorted({str(c).strip() for c in ch_list if str(c).strip()}): + rows.append( + { + "species_id": sid_str, + "annotation": f"CHEBI:{cid.split(':', 1)[-1]}", + "source": "chebi", + } + ) + continue + kg_list = kegg.get(sid) if kegg else None + if kg_list: + for kid in sorted({str(k).strip() for k in kg_list if str(k).strip()}): + rows.append( + {"species_id": sid_str, "annotation": kid, "source": "kegg_compound"} + ) + + if not rows: + return pd.DataFrame(columns=["species_id", "annotation", "source"]), "none" + + has_chebi = any(r["source"] == "chebi" for r in rows) + has_kegg = any(r["source"] == "kegg_compound" for r in rows) + source = "mixed" if (has_chebi and has_kegg) else ("chebi" if has_chebi else "kegg_compound") + return pd.DataFrame(rows), source + + +# --------------------------------------------------------------------------- +# Candidate generation (optional) +# --------------------------------------------------------------------------- + +def run_candidates(model_file: Path, species_df: pd.DataFrame, work_dir: Path) -> pd.DataFrame: + from core import annotate_model # heavy import; only when requested + + if species_df.empty: + return pd.DataFrame() + + rec = species_df.rename(columns={"species_id": "id"}).assign(match_score=1.0)[ + ["id", "annotation", "match_score"] + ] + work_dir.mkdir(parents=True, exist_ok=True) + species_csv = work_dir / f"{model_file.stem}__species.csv" + rec.to_csv(species_csv, index=False) + reloaded = pd.read_csv(species_csv, encoding="utf-8-sig") + + import os + + cwd = Path.cwd() + try: + os.chdir(work_dir) + df, _ = annotate_model( + model_file=str(model_file), + method="rulebased", + entity_type="reaction", + database="kegg", + species_recommendations_df=reloaded, + evaluate_candidates=False, + include_exchange_reactions=False, + ) + finally: + os.chdir(cwd) + return df if df is not None else pd.DataFrame() + + +# --------------------------------------------------------------------------- +# Per-model processing +# --------------------------------------------------------------------------- + +class ModelResult: + def __init__(self, model_id: str): + self.model_id = model_id + self.status = "included" + self.reaction_rows: List[Dict] = [] + self.species_rows: List[Dict] = [] + self.exclusions: List[Dict] = [] + self.pipeline_failures: List[Dict] = [] + self.context: Optional[Dict] = None + self.diagnostics: Optional[Dict] = None + self.summary: Dict = {} + self.gt_id_set: Set[str] = set() + + +def process_model( + model_id: str, + model_file: Path, + provenance: Dict[str, object], + *, + with_candidates: bool, + work_dir: Path, + registry_available: bool = False, +) -> ModelResult: + res = ModelResult(model_id) + + # --- pipeline gate: the file must exist ----------------------------- + prov_status = str(provenance.get("status", "")) if provenance else "" + + if not model_file.exists(): + res.status = "pipeline_failure" + res.pipeline_failures.append( + { + "model_id": model_id, + "failure_type": "file_missing", + "detail": f"Expected SBML at {_rel(model_file)}; " + f"download status={prov_status or 'unknown'}", + "actionable": "Re-run download_biomodels.py; investigate API response.", + } + ) + res.summary = {"model_id": model_id, "status": res.status} + return res + + # --- parse ---------------------------------------------------------- + model, parse_error = read_sbml(model_file) + if model is None: + res.status = "pipeline_failure" + res.pipeline_failures.append( + { + "model_id": model_id, + "failure_type": "parse_error", + "detail": parse_error, + "actionable": "Inspect the SBML individually; may need libSBML upgrade or upstream fix.", + } + ) + res.summary = {"model_id": model_id, "status": res.status} + return res + + # --- provenance checks (after the file itself is known to be readable) --- + if registry_available: + if not provenance: + res.pipeline_failures.append( + { + "model_id": model_id, + "failure_type": "provenance_missing", + "detail": "No entry in model_registry.json for this accession.", + "actionable": "Re-run download_biomodels.py to regenerate the registry.", + } + ) + elif not provenance.get("checksum_verified"): + res.pipeline_failures.append( + { + "model_id": model_id, + "failure_type": "checksum_unverified", + "detail": f"download status={prov_status}; " + f"upstream={provenance.get('upstream_sha256')} " + f"local={provenance.get('local_sha256')}", + "actionable": "Re-download with --force; confirm upstream file identity.", + } + ) + + num_reactions_total = model.getNumReactions() + raw_mentions, raw_examples = raw_kegg_reaction_mentions(model) + misplaced_mentions = misplaced_kegg_reaction_mentions(model) + + try: + gt_map_raw, _ = find_reactions_with_kegg_annotations(str(model_file)) + except Exception as exc: + res.status = "pipeline_failure" + res.pipeline_failures.append( + { + "model_id": model_id, + "failure_type": "annotation_extraction_error", + "detail": str(exc), + "actionable": "Inspect annotation extraction for this model.", + } + ) + res.summary = {"model_id": model_id, "status": res.status} + return res + + # Preserve every ground-truth ID, deduplicated and ordered deterministically. + gt_map: Dict[str, List[str]] = {} + for rxn_id, kegg_ids in gt_map_raw.items(): + ids = sorted({str(k).strip() for k in kegg_ids if str(k).strip()}) + if ids: + gt_map[str(rxn_id)] = ids + + res.diagnostics = { + "model_id": model_id, + "num_reactions_total": num_reactions_total, + "reactions_with_raw_kegg_mention": raw_mentions, + "reactions_with_extracted_kegg": len(gt_map), + "unextracted_mentions": max(0, raw_mentions - len(gt_map)), + "parser_discrepancy": raw_mentions > len(gt_map), + "species_with_kegg_reaction_annotation": misplaced_mentions, + "misplaced_annotations_only": raw_mentions == 0 and misplaced_mentions > 0, + "example_annotation_lines": " || ".join(raw_examples), + } + + # --- model-level scientific exclusion ------------------------------- + if not gt_map: + res.status = "excluded_no_ground_truth" + res.exclusions.append( + { + "model_id": model_id, + "reaction_id": "", + "exclusion_level": "model", + "reason": "no_kegg_reaction_annotations", + "detail": f"{num_reactions_total} reactions parsed; " + f"{raw_mentions} reaction-level kegg.reaction mentions; " + f"{misplaced_mentions} species carry a kegg.reaction annotation " + f"(manifest selected this model by raw file grep)", + } + ) + res.summary = { + "model_id": model_id, + "status": res.status, + "num_reactions_total": num_reactions_total, + "num_ground_truth_reactions": 0, + "num_eval_reactions": 0, + } + return res + + # --- context -------------------------------------------------------- + model_title = model.getName() if model.isSetName() else (model.getId() or "") + model_notes = _strip_tags(model.getNotesString()) if model.isSetNotes() else "" + res.context = { + "model_id": model_id, + "model_title": model_title, + "model_notes": model_notes, + "sbml_level": model.getLevel(), + "sbml_version": model.getVersion(), + "num_species": model.getNumSpecies(), + "num_reactions_total": num_reactions_total, + } + + # --- equations and SSX --------------------------------------------- + equations: Dict[str, str] = {} + for i in range(num_reactions_total): + rxn = model.getReaction(i) + equations[str(rxn.getId())] = format_equation(rxn) + + ssx_libsbml = libsbml_ssx_reaction_ids(model) + ssx_pipeline: Set[str] = set() + ssx_method = "libsbml" + try: + ssx_pipeline = exchange_constraint_skipped_reaction_ids(str(model_file)) + ssx_method = "antimony_pipeline" + except Exception as exc: + logger.warning("%s: antimony SSX detection failed (%s); using libSBML", model_id, exc) + + ssx_authoritative = ssx_pipeline if ssx_method == "antimony_pipeline" else ssx_libsbml + ssx_disagreement = sorted(ssx_libsbml.symmetric_difference(ssx_pipeline)) if ssx_pipeline else [] + res.diagnostics["ssx_detection_method"] = ssx_method + res.diagnostics["ssx_count_libsbml"] = len(ssx_libsbml) + res.diagnostics["ssx_count_pipeline"] = len(ssx_pipeline) + res.diagnostics["ssx_disagreement_ids"] = ";".join(ssx_disagreement[:20]) + + # --- species -------------------------------------------------------- + species_df, species_source = extract_species_annotations(model_file) + for _, row in species_df.iterrows(): + res.species_rows.append({"model_id": model_id, **row.to_dict()}) + + # --- optional candidates ------------------------------------------- + cand_by_rxn: Dict[str, List[Dict]] = defaultdict(list) + if with_candidates and species_source != "none": + try: + cdf = run_candidates(model_file, species_df, work_dir) + if not cdf.empty and {"id", "annotation"}.issubset(cdf.columns): + score_col = "match_score" if "match_score" in cdf.columns else None + relax_col = "relax_level" if "relax_level" in cdf.columns else None + for rxn_id, group in cdf.groupby("id", sort=False): + for rank, (_, crow) in enumerate(group.iterrows(), start=1): + item = { + "candidate_kegg": str(crow.get("annotation", "")), + "candidate_rank": rank, + } + if score_col: + item["heuristic_score"] = crow.get(score_col) + if relax_col: + item["relax_level"] = crow.get(relax_col) + cand_by_rxn[str(rxn_id)].append(item) + except Exception as exc: + logger.warning("%s: candidate generation failed: %s", model_id, exc) + + # --- reaction rows -------------------------------------------------- + n_eval = 0 + n_ssx = 0 + n_invalid = 0 + for rxn_id in sorted(gt_map): + gt_all = gt_map[rxn_id] + gt_valid = [g for g in gt_all if VALID_KEGG_REACTION_RE.match(g)] + gt_invalid = [g for g in gt_all if not VALID_KEGG_REACTION_RE.match(g)] + is_ssx = rxn_id in ssx_authoritative + + if not gt_valid: + reason = "invalid_ground_truth_id" + n_invalid += 1 + res.exclusions.append( + { + "model_id": model_id, + "reaction_id": rxn_id, + "exclusion_level": "reaction", + "reason": reason, + "detail": f"ground truth IDs failed R##### validation: {';'.join(gt_all)}", + } + ) + elif is_ssx: + reason = "exchange_ssx" + n_ssx += 1 + res.exclusions.append( + { + "model_id": model_id, + "reaction_id": rxn_id, + "exclusion_level": "reaction", + "reason": reason, + "detail": "Empty reactant or product side; rule-based matcher skips it " + "when include_exchange_reactions=False.", + } + ) + else: + reason = "" + n_eval += 1 + + cands = cand_by_rxn.get(rxn_id, []) + res.gt_id_set.update(gt_valid) + res.reaction_rows.append( + { + "model_id": model_id, + "reaction_id": rxn_id, + "reaction_equation": equations.get(rxn_id, ""), + "ground_truth_kegg_all": ";".join(gt_valid), + "ground_truth_kegg_primary": gt_valid[0] if gt_valid else "", + "num_ground_truth_ids": len(gt_valid), + "invalid_ground_truth_ids": ";".join(gt_invalid), + "species_source": species_source, + "num_species_annotations": len(species_df), + "is_exchange_ssx": is_ssx, + "included_in_eval": reason == "", + "exclusion_reason": reason, + "num_candidates": len(cands), + "candidates_json": json.dumps(cands, sort_keys=True) if cands else "", + } + ) + + res.summary = { + "model_id": model_id, + "status": res.status, + "num_reactions_total": num_reactions_total, + "num_ground_truth_reactions": len(gt_map), + "num_eval_reactions": n_eval, + "num_ssx_excluded": n_ssx, + "num_invalid_gt_excluded": n_invalid, + "species_source": species_source, + "num_species_annotations": len(species_df), + "zero_eval_reactions": n_eval == 0, + } + return res + + +# --------------------------------------------------------------------------- +# Duplicate clustering +# --------------------------------------------------------------------------- + +def cluster_models( + gt_sets: Dict[str, Set[str]], + threshold: float, + containment_threshold: float = DEFAULT_CONTAINMENT_THRESHOLD, + min_size_ratio: float = DEFAULT_MIN_SIZE_RATIO, + min_containment_overlap: int = DEFAULT_MIN_CONTAINMENT_OVERLAP, +) -> Tuple[Dict[str, str], pd.DataFrame]: + """Union-find clustering on overlap of ground-truth KEGG ID sets. + + Two linkage rules are applied, because model variants relate in two ways: + + - **Jaccard** ``|A∩B| / |A∪B|`` catches variants of near-identical scope, + such as a knockout of an otherwise unchanged model. + - **Containment** ``|A∩B| / min(|A|,|B|)`` catches variants where one model + extends another. Jaccard penalises the size difference and would split + them: the Smallbone2013 yeast variants share 189 reactions, yet score + only 0.86 by Jaccard because one model adds 23 further reactions. + Containment is gated on ``min_size_ratio`` because a two-reaction model is + trivially contained in a genome-scale one; without that guard, unrelated + models chain together into a single cluster through the large models. + + Cluster IDs are ``CLU_`` so they stay + stable across rebuilds as long as cluster membership is unchanged. Every + model receives a cluster ID (singletons included) so train/test splitting + can partition on ``cluster_id`` and keep related variants together. + """ + model_ids = sorted(gt_sets) + parent = {m: m for m in model_ids} + + def find(x: str) -> str: + while parent[x] != x: + parent[x] = parent[parent[x]] + x = parent[x] + return x + + def union(a: str, b: str) -> None: + ra, rb = find(a), find(b) + if ra != rb: + if ra < rb: + parent[rb] = ra + else: + parent[ra] = rb + + pair_rows: List[Dict[str, object]] = [] + for i, a in enumerate(model_ids): + sa = gt_sets[a] + if not sa: + continue + for b in model_ids[i + 1 :]: + sb = gt_sets[b] + if not sb: + continue + inter = len(sa & sb) + if inter == 0: + continue + jaccard = inter / len(sa | sb) + containment = inter / min(len(sa), len(sb)) + size_ratio = min(len(sa), len(sb)) / max(len(sa), len(sb)) + rules = [] + if jaccard >= threshold: + rules.append("jaccard") + if ( + containment >= containment_threshold + and size_ratio >= min_size_ratio + and inter >= min_containment_overlap + ): + rules.append("containment") + if rules: + union(a, b) + pair_rows.append( + { + "model_a": a, + "model_b": b, + "jaccard": round(jaccard, 4), + "containment": round(containment, 4), + "size_ratio": round(size_ratio, 4), + "shared_ids": inter, + "linkage_rule": "+".join(rules), + } + ) + + members: Dict[str, List[str]] = defaultdict(list) + for m in model_ids: + members[find(m)].append(m) + + cluster_of: Dict[str, str] = {} + group_rows: List[Dict[str, object]] = [] + for root in sorted(members): + group = sorted(members[root]) + cluster_id = f"CLU_{group[0]}" + for m in group: + cluster_of[m] = cluster_id + if len(group) > 1: + union_ids: Set[str] = set() + inter_ids: Optional[Set[str]] = None + for m in group: + union_ids |= gt_sets[m] + inter_ids = gt_sets[m] if inter_ids is None else (inter_ids & gt_sets[m]) + group_rows.append( + { + "cluster_id": cluster_id, + "group_size": len(group), + "model_ids": ";".join(group), + "union_ground_truth_ids": len(union_ids), + "shared_ground_truth_ids": len(inter_ids or set()), + "min_pairwise_jaccard": min( + ( + r["jaccard"] + for r in pair_rows + if r["model_a"] in group and r["model_b"] in group + ), + default=None, + ), + "linkage_rules": "+".join( + sorted( + { + rule + for r in pair_rows + if r["model_a"] in group and r["model_b"] in group + for rule in str(r["linkage_rule"]).split("+") + } + ) + ), + } + ) + + return cluster_of, pd.DataFrame(group_rows) + + +# --------------------------------------------------------------------------- +# Invariants +# --------------------------------------------------------------------------- + +def check_invariants( + *, + manifest_ids: List[str], + registry: Dict[str, Dict[str, object]], + results: List[ModelResult], + reactions_df: pd.DataFrame, + exclusions_df: pd.DataFrame, + cluster_of: Dict[str, str], +) -> Dict[str, object]: + checks: List[Dict[str, object]] = [] + + def add(name: str, passed: bool, detail: str) -> None: + checks.append({"check": name, "passed": bool(passed), "detail": detail}) + + unique_ids = set(manifest_ids) + add( + "manifest_has_75_unique_accessions", + len(manifest_ids) == 75 and len(unique_ids) == 75, + f"{len(manifest_ids)} entries, {len(unique_ids)} unique", + ) + + downloaded = [m for m in manifest_ids if (m in registry)] + with_prov = [ + m + for m in downloaded + if registry[m].get("local_sha256") and registry[m].get("download_url") + ] + verified = [m for m in downloaded if registry[m].get("checksum_verified")] + add( + "every_registry_entry_has_provenance_and_sha256", + len(with_prov) == len(downloaded) and len(downloaded) > 0, + f"{len(with_prov)}/{len(downloaded)} registry entries carry URL + local SHA-256", + ) + add( + "every_downloaded_file_checksum_verified", + len(verified) == len(downloaded) and len(downloaded) > 0, + f"{len(verified)}/{len(downloaded)} match upstream SHA-256", + ) + + parse_failures = [ + r.model_id + for r in results + if any(f["failure_type"] == "parse_error" for f in r.pipeline_failures) + ] + included_models = [r.model_id for r in results if r.status == "included"] + add( + "every_included_model_parses", + not (set(parse_failures) & set(included_models)), + f"{len(parse_failures)} parse failures, none among {len(included_models)} included models", + ) + + if reactions_df.empty: + add("every_included_reaction_has_valid_ground_truth", False, "no reaction rows") + else: + inc = reactions_df[reactions_df["included_in_eval"]] + bad = inc[(inc["num_ground_truth_ids"] < 1) | (inc["ground_truth_kegg_primary"] == "")] + add( + "every_included_reaction_has_valid_ground_truth", + len(bad) == 0, + f"{len(bad)} of {len(inc)} evaluable reactions lack a valid KEGG ID", + ) + + malformed = inc[ + ~inc["ground_truth_kegg_all"].fillna("").apply( + lambda s: all(VALID_KEGG_REACTION_RE.match(x) for x in s.split(";") if x) + ) + ] + add( + "all_included_ground_truth_ids_wellformed", + len(malformed) == 0, + f"{len(malformed)} evaluable reactions carry a malformed ID", + ) + + # Reconciliation: total ground-truth reactions == evaluable + reaction-level exclusions + total_gt = len(reactions_df) + n_eval = int(reactions_df["included_in_eval"].sum()) if not reactions_df.empty else 0 + rxn_excl = ( + exclusions_df[exclusions_df["exclusion_level"] == "reaction"] + if not exclusions_df.empty + else pd.DataFrame() + ) + add( + "reaction_records_reconcile", + total_gt == n_eval + len(rxn_excl), + f"{total_gt} ground-truth reactions = {n_eval} evaluable + {len(rxn_excl)} excluded", + ) + + model_excl = ( + exclusions_df[exclusions_df["exclusion_level"] == "model"] + if not exclusions_df.empty + else pd.DataFrame() + ) + n_pipeline = len({r.model_id for r in results if r.status == "pipeline_failure"}) + accounted = len(included_models) + len(model_excl) + n_pipeline + add( + "model_records_reconcile", + accounted == len(manifest_ids), + f"{len(manifest_ids)} manifest = {len(included_models)} included " + f"+ {len(model_excl)} scientifically excluded + {n_pipeline} pipeline failures", + ) + + add( + "every_included_model_has_cluster_id", + all(m in cluster_of for m in included_models), + f"{sum(1 for m in included_models if m in cluster_of)}/{len(included_models)} assigned", + ) + + if not reactions_df.empty: + dup_keys = reactions_df.duplicated(subset=["model_id", "reaction_id"]).sum() + add( + "reaction_keys_unique", + dup_keys == 0, + f"{dup_keys} duplicate (model_id, reaction_id) keys", + ) + + return { + "all_passed": all(c["passed"] for c in checks), + "num_passed": sum(1 for c in checks if c["passed"]), + "num_checks": len(checks), + "checks": checks, + } + + +# --------------------------------------------------------------------------- +# Driver +# --------------------------------------------------------------------------- + +def sha256_of(path: Path) -> str: + h = hashlib.sha256() + with path.open("rb") as fh: + for chunk in iter(lambda: fh.read(1 << 20), b""): + h.update(chunk) + return h.hexdigest() + + +def write_csv(df: pd.DataFrame, path: Path, sort_by: Optional[List[str]] = None) -> None: + """Deterministic CSV: stable sort, fixed line terminator, no index.""" + if sort_by and not df.empty: + present = [c for c in sort_by if c in df.columns] + if present: + df = df.sort_values(present, kind="mergesort").reset_index(drop=True) + df.to_csv(path, index=False, lineterminator="\n") + + +def main() -> int: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--manifest", type=Path, default=DEFAULT_MANIFEST) + parser.add_argument("--models-dir", type=Path, default=DEFAULT_MODELS_DIR) + parser.add_argument("--registry", type=Path, default=DEFAULT_REGISTRY) + parser.add_argument("--output-dir", type=Path, default=DEFAULT_OUTPUT_DIR) + parser.add_argument("--work-dir", type=Path, default=None) + parser.add_argument("--with-candidates", action="store_true") + parser.add_argument("--duplicate-threshold", type=float, default=DEFAULT_DUPLICATE_THRESHOLD) + parser.add_argument( + "--containment-threshold", type=float, default=DEFAULT_CONTAINMENT_THRESHOLD + ) + parser.add_argument("--limit", type=int, default=None) + args = parser.parse_args() + + manifest_ids = load_model_ids(args.manifest) + registry = load_registry(args.registry) + model_ids = manifest_ids[: args.limit] if args.limit is not None else manifest_ids + work_dir = args.work_dir or (args.output_dir / "_work") + args.output_dir.mkdir(parents=True, exist_ok=True) + + results: List[ModelResult] = [] + for i, model_id in enumerate(model_ids, start=1): + logger.info("[%d/%d] %s", i, len(model_ids), model_id) + results.append( + process_model( + model_id, + args.models_dir / f"{model_id}.xml", + registry.get(model_id, {}), + with_candidates=args.with_candidates, + work_dir=work_dir, + registry_available=bool(registry), + ) + ) + + reactions_df = pd.DataFrame([r for res in results for r in res.reaction_rows]) + species_df = pd.DataFrame([r for res in results for r in res.species_rows]) + exclusions_df = pd.DataFrame([e for res in results for e in res.exclusions]) + failure_rows = [f for res in results for f in res.pipeline_failures] + if not registry: + # One global row rather than a per-model failure for every accession. + failure_rows.append( + { + "model_id": "", + "failure_type": "registry_missing", + "detail": f"No download registry at {_rel(args.registry)}; " + "provenance and checksums are unverified for this build.", + "actionable": "Run download_biomodels.py before building the benchmark.", + } + ) + failures_df = pd.DataFrame(failure_rows) + context_df = pd.DataFrame([res.context for res in results if res.context]) + diagnostics_df = pd.DataFrame([res.diagnostics for res in results if res.diagnostics]) + + gt_sets = {res.model_id: res.gt_id_set for res in results if res.status == "included"} + cluster_of, duplicates_df = cluster_models( + gt_sets, args.duplicate_threshold, args.containment_threshold + ) + + summary_rows = [] + for res in results: + row = dict(res.summary) + row["cluster_id"] = cluster_of.get(res.model_id, "") + row["has_pipeline_failure"] = bool(res.pipeline_failures) + summary_rows.append(row) + models_df = pd.DataFrame(summary_rows) + + clusters_df = pd.DataFrame( + [{"model_id": m, "cluster_id": c} for m, c in sorted(cluster_of.items())] + ) + + write_csv(reactions_df, args.output_dir / "reactions.csv", ["model_id", "reaction_id"]) + write_csv(species_df, args.output_dir / "species_annotations.csv", ["model_id", "species_id", "annotation"]) + write_csv(exclusions_df, args.output_dir / "exclusions.csv", ["exclusion_level", "model_id", "reaction_id"]) + write_csv(failures_df, args.output_dir / "pipeline_failures.csv", ["failure_type", "model_id"]) + write_csv(models_df, args.output_dir / "model_summary.csv", ["model_id"]) + write_csv(context_df, args.output_dir / "model_context.csv", ["model_id"]) + write_csv(diagnostics_df, args.output_dir / "parser_diagnostics.csv", ["model_id"]) + write_csv(duplicates_df, args.output_dir / "duplicate_groups.csv", ["cluster_id"]) + write_csv(clusters_df, args.output_dir / "model_clusters.csv", ["cluster_id", "model_id"]) + + included = [r for r in results if r.status == "included"] + excluded_models = [r for r in results if r.status == "excluded_no_ground_truth"] + pipeline_failed = [r for r in results if r.status == "pipeline_failure"] + n_eval = int(reactions_df["included_in_eval"].sum()) if not reactions_df.empty else 0 + + summary = { + "benchmark_version": BENCHMARK_VERSION, + "with_candidates": args.with_candidates, + "duplicate_threshold": args.duplicate_threshold, + "containment_threshold": args.containment_threshold, + "manifest_models": len(manifest_ids), + "manifest_unique_accessions": len(set(manifest_ids)), + "models_processed": len(model_ids), + "models_included": len(included), + "models_excluded_no_ground_truth": len(excluded_models), + "models_pipeline_failure": len(pipeline_failed), + "models_with_zero_eval_reactions": sum( + 1 for r in included if r.summary.get("zero_eval_reactions") + ), + "total_ground_truth_reactions": len(reactions_df), + "evaluable_reactions": n_eval, + "reactions_excluded_ssx": sum(int(r.summary.get("num_ssx_excluded", 0)) for r in included), + "reactions_excluded_invalid_gt": sum( + int(r.summary.get("num_invalid_gt_excluded", 0)) for r in included + ), + "reactions_with_multiple_ground_truth_ids": ( + int((reactions_df["num_ground_truth_ids"] > 1).sum()) if not reactions_df.empty else 0 + ), + "duplicate_clusters_multi_member": len(duplicates_df), + "models_in_multi_member_clusters": ( + int(duplicates_df["group_size"].sum()) if not duplicates_df.empty else 0 + ), + "distinct_clusters": len(set(cluster_of.values())), + "models_with_parser_discrepancy": ( + int(diagnostics_df["parser_discrepancy"].sum()) if not diagnostics_df.empty else 0 + ), + "models_with_misplaced_annotations_only": ( + int(diagnostics_df["misplaced_annotations_only"].sum()) + if not diagnostics_df.empty + else 0 + ), + "historical_reference": { + "models": 68, + "reactions": 4379, + "note": "Clue only, not an acceptance criterion. Differences are documented " + "in benchmark/data/RECONCILIATION.md rather than engineered away.", + }, + } + (args.output_dir / "benchmark_summary.json").write_text( + json.dumps(summary, indent=2) + "\n", encoding="utf-8" + ) + + invariants = check_invariants( + manifest_ids=manifest_ids, + registry=registry, + results=results, + reactions_df=reactions_df, + exclusions_df=exclusions_df, + cluster_of=cluster_of, + ) + (args.output_dir / "invariants.json").write_text( + json.dumps(invariants, indent=2) + "\n", encoding="utf-8" + ) + + artifacts = [ + "reactions.csv", + "model_summary.csv", + "model_context.csv", + "model_clusters.csv", + "exclusions.csv", + "pipeline_failures.csv", + "duplicate_groups.csv", + "species_annotations.csv", + "parser_diagnostics.csv", + "benchmark_summary.json", + "invariants.json", + ] + version = { + "benchmark_version": BENCHMARK_VERSION, + "manifest_sha256": sha256_of(args.manifest), + "registry_sha256": sha256_of(args.registry) if args.registry.exists() else None, + "artifact_sha256": { + name: sha256_of(args.output_dir / name) + for name in artifacts + if (args.output_dir / name).exists() + }, + "counts": { + "models_included": summary["models_included"], + "total_ground_truth_reactions": summary["total_ground_truth_reactions"], + "evaluable_reactions": summary["evaluable_reactions"], + }, + "invariants_all_passed": invariants["all_passed"], + } + (args.output_dir / "VERSION.json").write_text( + json.dumps(version, indent=2) + "\n", encoding="utf-8" + ) + + logger.info("Summary: %s", json.dumps({k: v for k, v in summary.items() if k != "historical_reference"})) + logger.info( + "Invariants: %d/%d passed", invariants["num_passed"], invariants["num_checks"] + ) + for check in invariants["checks"]: + if not check["passed"]: + logger.warning("INVARIANT FAILED %s: %s", check["check"], check["detail"]) + logger.info("reactions.csv sha256=%s", version["artifact_sha256"].get("reactions.csv")) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/benchmark/scripts/download_biomodels.py b/benchmark/scripts/download_biomodels.py new file mode 100644 index 0000000..ce322c8 --- /dev/null +++ b/benchmark/scripts/download_biomodels.py @@ -0,0 +1,285 @@ +#!/usr/bin/env python3 +"""Download and pin BioModels SBML files for the reaction-annotation benchmark. + +Reads accession IDs from ``benchmark/manifest/models.txt``, resolves each +model's *main* SBML file via the BioModels files API, downloads it, verifies the +bytes against the upstream SHA-256, and writes a provenance registry to +``benchmark/manifest/model_registry.json``. + +Provenance recorded per model: accession, upstream filename, download URL, +upstream SHA-256/MD5/size, locally computed SHA-256/size, checksum agreement, +SBML format version, curation status, submission ID, publication ID, and the +latest upstream revision. + +The main filename is *not* predictable from the accession (e.g. +``BIOMD0000000013_url.xml`` vs ``iJN1463.xml``), so it must be resolved from the +API rather than guessed. + +Run from the repo root:: + + python benchmark/scripts/download_biomodels.py + python benchmark/scripts/download_biomodels.py --limit 3 # smoke test + python benchmark/scripts/download_biomodels.py --force # ignore cache +""" + +from __future__ import annotations + +import argparse +import hashlib +import json +import logging +import time +from datetime import datetime, timezone +from pathlib import Path +from typing import Dict, List, Optional + +import requests + +REPO_ROOT = Path(__file__).resolve().parents[2] +DEFAULT_MANIFEST = REPO_ROOT / "benchmark" / "manifest" / "models.txt" +DEFAULT_MODELS_DIR = REPO_ROOT / "benchmark" / "models" +DEFAULT_REGISTRY = REPO_ROOT / "benchmark" / "manifest" / "model_registry.json" + +API_BASE = "https://www.ebi.ac.uk/biomodels" +FILES_URL = API_BASE + "/model/files/{model_id}?format=json" +METADATA_URL = API_BASE + "/{model_id}?format=json" +DOWNLOAD_URL = API_BASE + "/model/download/{model_id}?filename={filename}" + +logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") +logger = logging.getLogger("download_biomodels") + + +def load_model_ids(manifest_path: Path) -> List[str]: + ids: List[str] = [] + with manifest_path.open(encoding="utf-8") as fh: + for raw in fh: + line = raw.strip() + if not line or line.startswith("#"): + continue + ids.append(line) + return ids + + +def sha256_bytes(data: bytes) -> str: + return hashlib.sha256(data).hexdigest() + + +def sha256_file(path: Path) -> str: + h = hashlib.sha256() + with path.open("rb") as fh: + for chunk in iter(lambda: fh.read(1 << 20), b""): + h.update(chunk) + return h.hexdigest() + + +def pick_main_sbml(main_files: List[Dict[str, object]], model_id: str) -> Optional[Dict[str, object]]: + """Choose the primary SBML file from the API's ``main`` file list. + + Prefers the conventional ``_url.xml``, then any XML file. Models + imported from external reconstructions use their original filename. + """ + if not main_files: + return None + preferred = f"{model_id}_url.xml" + for entry in main_files: + if str(entry.get("name", "")) == preferred: + return entry + xml_files = [ + e + for e in main_files + if str(e.get("name", "")).lower().endswith(".xml") + or str(e.get("mimeType", "")) == "application/xml" + ] + if xml_files: + # Largest XML is the model itself when auxiliary XML files are present. + return max(xml_files, key=lambda e: int(str(e.get("fileSize", "0")) or 0)) + return None + + +def fetch_metadata(model_id: str, session: requests.Session) -> Dict[str, object]: + url = METADATA_URL.format(model_id=model_id) + out: Dict[str, object] = {"metadata_url": url} + try: + resp = session.get(url, timeout=90) + if resp.status_code != 200: + out["metadata_error"] = f"HTTP {resp.status_code}" + return out + data = resp.json() + fmt = data.get("format", {}) if isinstance(data, dict) else {} + out["model_name"] = data.get("name") + out["sbml_format"] = fmt.get("identifier") + out["sbml_format_version"] = fmt.get("version") + out["curation_status"] = data.get("curationStatus") + out["submission_id"] = data.get("submissionId") + out["publication_id"] = data.get("publicationId") + out["first_published"] = data.get("firstPublished") + revisions = ((data.get("history") or {}).get("revisions") or []) + if revisions: + latest = revisions[-1] + out["latest_revision"] = latest.get("version") + out["latest_revision_submitted"] = latest.get("submitted") + out["num_revisions"] = len(revisions) + except Exception as exc: + out["metadata_error"] = str(exc) + return out + + +def download_model( + model_id: str, + models_dir: Path, + session: requests.Session, + *, + force: bool = False, +) -> Dict[str, object]: + entry: Dict[str, object] = { + "model_id": model_id, + "resolved_at": datetime.now(timezone.utc).isoformat(), + } + + files_url = FILES_URL.format(model_id=model_id) + entry["files_url"] = files_url + try: + resp = session.get(files_url, timeout=90) + resp.raise_for_status() + files_payload = resp.json() + except Exception as exc: + entry["status"] = "failed" + entry["error"] = f"files API: {exc}" + logger.error("%s: files API failed: %s", model_id, exc) + return entry + + main_files = files_payload.get("main") or [] + entry["main_files_available"] = [str(f.get("name", "")) for f in main_files] + chosen = pick_main_sbml(main_files, model_id) + if chosen is None: + entry["status"] = "failed" + entry["error"] = "no SBML file in 'main' file list" + logger.error("%s: no main SBML file", model_id) + return entry + + upstream_name = str(chosen.get("name", "")) + entry["upstream_filename"] = upstream_name + entry["upstream_sha256"] = chosen.get("sha256sum") + entry["upstream_md5"] = chosen.get("md5sum") + entry["upstream_bytes"] = int(str(chosen.get("fileSize", "0")) or 0) + entry["upstream_description"] = chosen.get("description") + + download_url = DOWNLOAD_URL.format(model_id=model_id, filename=upstream_name) + entry["download_url"] = download_url + + dest = models_dir / f"{model_id}.xml" + entry["local_path"] = str(dest.relative_to(REPO_ROOT)).replace("\\", "/") + + entry.update(fetch_metadata(model_id, session)) + + if dest.exists() and not force: + local_hash = sha256_file(dest) + if local_hash == entry.get("upstream_sha256"): + entry["local_sha256"] = local_hash + entry["local_bytes"] = dest.stat().st_size + entry["checksum_verified"] = True + entry["status"] = "cached" + entry["downloaded_at"] = None + logger.info("%s cached and checksum-verified", model_id) + return entry + logger.warning( + "%s cached file does not match upstream checksum; re-downloading", model_id + ) + + try: + resp = session.get(download_url, timeout=300) + resp.raise_for_status() + data = resp.content + local_hash = sha256_bytes(data) + dest.parent.mkdir(parents=True, exist_ok=True) + dest.write_bytes(data) + entry["local_sha256"] = local_hash + entry["local_bytes"] = len(data) + entry["downloaded_at"] = datetime.now(timezone.utc).isoformat() + entry["final_url"] = resp.url + upstream_hash = entry.get("upstream_sha256") + entry["checksum_verified"] = bool(upstream_hash) and local_hash == upstream_hash + entry["status"] = "downloaded" if entry["checksum_verified"] else "checksum_mismatch" + if entry["checksum_verified"]: + logger.info("%s downloaded (%d bytes, verified)", model_id, len(data)) + else: + logger.error( + "%s checksum mismatch: upstream=%s local=%s", + model_id, + upstream_hash, + local_hash, + ) + except Exception as exc: + entry["status"] = "failed" + entry["error"] = str(exc) + logger.error("%s download failed: %s", model_id, exc) + return entry + + +def main() -> int: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--manifest", type=Path, default=DEFAULT_MANIFEST) + parser.add_argument("--models-dir", type=Path, default=DEFAULT_MODELS_DIR) + parser.add_argument("--registry", type=Path, default=DEFAULT_REGISTRY) + parser.add_argument("--limit", type=int, default=None, help="Only first N models.") + parser.add_argument("--force", action="store_true", help="Re-download even if cached.") + parser.add_argument("--sleep", type=float, default=0.3, help="Seconds between models.") + args = parser.parse_args() + + model_ids = load_model_ids(args.manifest) + duplicates = sorted({m for m in model_ids if model_ids.count(m) > 1}) + unique_ids = sorted(set(model_ids)) + if duplicates: + logger.error("Manifest contains duplicate accessions: %s", duplicates) + + if args.limit is not None: + model_ids = model_ids[: args.limit] + logger.info("Processing %d models (%d unique in manifest)", len(model_ids), len(unique_ids)) + + session = requests.Session() + session.headers["User-Agent"] = "AAAIM-benchmark/1.0 (research reproducibility)" + + args.models_dir.mkdir(parents=True, exist_ok=True) + + entries: List[Dict[str, object]] = [] + for i, model_id in enumerate(model_ids, start=1): + logger.info("[%d/%d] %s", i, len(model_ids), model_id) + entries.append(download_model(model_id, args.models_dir, session, force=args.force)) + if i < len(model_ids) and args.sleep > 0: + time.sleep(args.sleep) + + n_ok = sum(1 for e in entries if e.get("status") in ("downloaded", "cached")) + n_mismatch = sum(1 for e in entries if e.get("status") == "checksum_mismatch") + n_failed = sum(1 for e in entries if e.get("status") == "failed") + + registry = { + "created_at": datetime.now(timezone.utc).isoformat(), + "api_base": API_BASE, + "manifest": str(args.manifest.relative_to(REPO_ROOT)).replace("\\", "/"), + "models_dir": str(args.models_dir.relative_to(REPO_ROOT)).replace("\\", "/"), + "manifest_entries": len(load_model_ids(args.manifest)), + "manifest_unique_accessions": len(unique_ids), + "manifest_duplicate_accessions": duplicates, + "summary": { + "processed": len(entries), + "ok": n_ok, + "checksum_mismatch": n_mismatch, + "failed": n_failed, + }, + "models": entries, + } + + args.registry.parent.mkdir(parents=True, exist_ok=True) + args.registry.write_text(json.dumps(registry, indent=2) + "\n", encoding="utf-8") + logger.info( + "Registry written to %s (ok=%d, mismatch=%d, failed=%d)", + args.registry, + n_ok, + n_mismatch, + n_failed, + ) + return 1 if (n_failed or n_mismatch) else 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/core/annotation_workflow.py b/core/annotation_workflow.py index 0d90bfd..0e6e350 100644 --- a/core/annotation_workflow.py +++ b/core/annotation_workflow.py @@ -598,6 +598,10 @@ def annotate_single_model( verbose: bool = False, em_max_iterations: int = 5, message: str = "", + evaluate_candidates: bool = False, + include_exchange_reactions: bool = False, + cofactor_config=None, + disable_ontology_relaxation: bool = False, ) -> Tuple[pd.DataFrame, Dict[str, Any]]: """ Annotate a single model that has no or limited existing annotations. @@ -812,6 +816,10 @@ def annotate_single_model( species_recommendations_df, existing_annotations=existing_annotations, convergence_config=ConvergenceConfig(max_iterations=em_max_iterations), + evaluate_candidates=bool(evaluate_candidates), + include_exchange_reactions=bool(include_exchange_reactions), + cofactor_config=cofactor_config, + disable_ontology_relaxation=bool(disable_ontology_relaxation), ) search_time = time.time() - search_start logger.info(f"Rule-based search completed in {search_time:.2f}s") diff --git a/core/curation_workflow.py b/core/curation_workflow.py index 6bf20a0..0e33441 100644 --- a/core/curation_workflow.py +++ b/core/curation_workflow.py @@ -14,18 +14,15 @@ import warnings from utils.constants import DatabaseID, EntityType -from core.model_info import find_species_with_chebi_annotations, find_species_with_annotations_and_qualifiers, find_species_with_ncbigene_annotations, find_species_with_uniprot_annotations, extract_model_info, format_prompt -from core.llm_interface import get_system_prompt, query_llm_message, parse_llm_response +from core.model_info import ( + find_species_with_annotations_and_qualifiers, + find_reactions_with_kegg_annotations, + extract_model_info, + format_prompt, +) +from core.llm_interface import get_system_prompt, query_llm, parse_llm_response from core.data_types import Recommendation from core.database_search import get_species_recommendations_direct, get_species_recommendations_rag, load_uniprot_label_dict, load_ncbigene_label_dict, load_chebi_label_dict -from core.annotation_workflow import ( - _apply_reason_comments, - _notes_plus_message, - _print_run_summary, - _silence_internal_logs, - _vprint, - rank_species_annotations_with_llm, -) logger = logging.getLogger(__name__) @@ -33,34 +30,32 @@ warnings.filterwarnings("ignore", category=FutureWarning) def curate_single_model(model_file: str, - llm_model: str = "gpt-4o-mini", + llm_model: str = "Llama-3.3-70B-Instruct", method: str = "direct", top_k: int = 3, - n_return: int = 3, max_entities: int = None, entity_type: str | EntityType = EntityType.CHEMICAL, database: str | DatabaseID = DatabaseID.CHEBI, tax_id: str = None, chunk_size: int = 50, - verbose: bool = False, - message: str = "") -> Tuple[pd.DataFrame, Dict[str, Any]]: + *, + evaluate_candidates: bool = False, + include_exchange_reactions: bool = False, + ) -> Tuple[pd.DataFrame, Dict[str, Any]]: """ This is the main function users will call to get curation recommendations for a model that already has existing annotations. Args: model_file: Path to SBML model file - llm_model: LLM model to use ("gpt-4o-mini" or an OpenRouter "meta-llama/..." model) + llm_model: LLM model to use ("gpt-4o-mini", "Llama-3.3-70B-Instruct") method: Method to use for database search ("direct", "rag") - top_k: Number of database candidates to retrieve per species - n_return: Number of IDs the final LLM ranking keeps per species. Default 3. + top_k: Number of top candidates to return per species max_entities: Maximum number of entities to annotate (None for all) entity_type: Type of entities to annotate ("chemical", "gene", "protein", "auto") database: Target database ("chebi", "ncbigene", "uniprot") tax_id: For gene/protein annotations, the organism's tax_id for species-specific lookup chunk_size: Size of chunks to split large models into (default: 50, None for no chunking) - verbose: If True, print a short progress summary. Default False. - message: Optional user note included in LLM prompts. Returns: Tuple of (recommendations_df, metrics_dict) @@ -68,7 +63,6 @@ def curate_single_model(model_file: str, - metrics_dict: Dictionary with evaluation metrics and timing information """ start_time = time.time() - _silence_internal_logs() logger.info(f"Starting curation for model: {model_file}") logger.info(f"Using LLM model: {llm_model}") @@ -100,6 +94,9 @@ def curate_single_model(model_file: str, elif entity_type == EntityType.PROTEIN and database == DatabaseID.UNIPROT: existing_annotations, qualifier_annotations = find_species_with_annotations_and_qualifiers(model_file, DatabaseID.UNIPROT.value) logger.info(f"Found {len(existing_annotations)} entities with existing annotations") + elif entity_type == EntityType.REACTION and database == DatabaseID.KEGG: + existing_annotations, qualifier_annotations = find_reactions_with_kegg_annotations(model_file) + logger.info(f"Found {len(existing_annotations)} reactions with existing annotations") else: # Future: support other entity types and databases logger.warning(f"Entity type {entity_type.value} with database {database.value} not yet supported") @@ -117,6 +114,27 @@ def curate_single_model(model_file: str, else: specs_to_evaluate = list(existing_annotations.keys()) logger.info(f"Curation all {len(specs_to_evaluate)} entities") + + # Special-case: curate reaction->KEGG using the rulebased workflow. + # This path is LLM-free; it uses existing species annotations (ChEBI, or + # KEGG-compound as a fallback) as the metabolite evidence for KEGG + # reaction matching. See :func:`curate_reactions_kegg_rulebased` for the + # full logic. + if entity_type == EntityType.REACTION and database == DatabaseID.KEGG: + from core.reaction.annotation_workflow import curate_reactions_kegg_rulebased + + return curate_reactions_kegg_rulebased( + model_file, + existing_annotations, + qualifier_annotations, + specs_to_evaluate, + evaluate_candidates=bool(evaluate_candidates), + include_exchange_reactions=bool(include_exchange_reactions), + llm_model=llm_model, + top_k=top_k, + tax_id=tax_id, + start_time=start_time, + ) # Extract model context logger.info(">>>Step 2: Extracting model context...<<<") @@ -134,7 +152,6 @@ def curate_single_model(model_file: str, # Track conversation context for potential feedback rounds all_prompts = [] all_responses = [] - assistant_messages = [] system_prompt = get_system_prompt(entity_type) if chunk_size and len(specs_to_evaluate) > chunk_size: @@ -148,14 +165,14 @@ def curate_single_model(model_file: str, # Process each chunk and accumulate results all_synonyms_dict = {} - reason_by_id: Dict[str, str] = {} + all_reasons = [] total_llm_time = 0 for chunk_idx, chunk in enumerate(species_chunks): logger.info(f"Processing chunk {chunk_idx + 1}/{len(species_chunks)} ({len(chunk)} entities)") # Format prompt for this chunk - prompt = format_prompt(model_file, chunk, entity_type, message=message) + prompt = format_prompt(model_file, chunk, entity_type, top_k) if not prompt: logger.error(f"Failed to format prompt for chunk {chunk_idx + 1}") @@ -165,13 +182,7 @@ def curate_single_model(model_file: str, llm_start = time.time() try: - assistant_message = query_llm_message( - prompt, - system_prompt, - model=llm_model, - entity_type=entity_type, - ) - result = assistant_message.get("content") if assistant_message else "" + result = query_llm(prompt, system_prompt, model=llm_model, entity_type=entity_type) chunk_llm_time = time.time() - llm_start total_llm_time += chunk_llm_time @@ -180,7 +191,6 @@ def curate_single_model(model_file: str, continue all_responses.append(result) - assistant_messages.append(assistant_message) logger.info(f"Chunk {chunk_idx + 1} LLM response received in {chunk_llm_time:.2f}s") except Exception as e: @@ -193,11 +203,15 @@ def curate_single_model(model_file: str, # Accumulate synonyms all_synonyms_dict.update(chunk_synonyms_dict) - if chunk_reason and chunk: - prefix = f"Chunk {chunk_idx + 1}: " if len(species_chunks) > 1 else "" - reason_by_id[chunk[0]] = f"{prefix}{chunk_reason}" - - reason = reason_by_id + # Accumulate reasons + if chunk_reason: + all_reasons.append(f"Chunk {chunk_idx + 1}: {chunk_reason}") + + # Combine all reasons + if all_reasons: + reason = ' '.join(all_reasons) + else: + reason = "" # Use accumulated synonyms synonyms_dict = all_synonyms_dict @@ -205,7 +219,7 @@ def curate_single_model(model_file: str, else: # Single prompt for all entities - prompt = format_prompt(model_file, specs_to_evaluate, entity_type, message=message) + prompt = format_prompt(model_file, specs_to_evaluate, entity_type, top_k) if not prompt: logger.error("Failed to format prompt") @@ -215,13 +229,7 @@ def curate_single_model(model_file: str, llm_start = time.time() try: - assistant_message = query_llm_message( - prompt, - system_prompt, - model=llm_model, - entity_type=entity_type, - ) - result = assistant_message.get("content") if assistant_message else "" + result = query_llm(prompt, system_prompt, model=llm_model, entity_type=entity_type) llm_time = time.time() - llm_start if not result: @@ -229,7 +237,6 @@ def curate_single_model(model_file: str, return pd.DataFrame(), {"error": "No response from LLM"} all_responses.append(result) - assistant_messages.append(assistant_message) logger.info(f"LLM response received in {llm_time:.2f}s") except Exception as e: @@ -245,6 +252,9 @@ def curate_single_model(model_file: str, logger.info(f"Parsed synonyms for {len(synonyms_dict)} entities") + if reason: + print(f"LLM Reason: {reason}") + # Search database logger.info(f">>>Step 4: Searching {database.value} database...<<<") search_start = time.time() @@ -253,7 +263,7 @@ def curate_single_model(model_file: str, if method == "direct": recommendations = get_species_recommendations_direct(specs_to_evaluate, synonyms_dict, database=DatabaseID.CHEBI.value, top_k=top_k) elif method == "rag": - recommendations = get_species_recommendations_rag(specs_to_evaluate, synonyms_dict, database=DatabaseID.CHEBI.value, top_k=top_k) + recommendations = get_species_recommendations_rag(specs_to_evaluate, synonyms_dict, database=DatabaseID.CHEBI.value) else: logger.error(f"Invalid method: {method}") return pd.DataFrame(), {"error": f"Invalid method: {method}"} @@ -261,7 +271,7 @@ def curate_single_model(model_file: str, if method == "direct": recommendations = get_species_recommendations_direct(specs_to_evaluate, synonyms_dict, database=DatabaseID.NCBIGENE.value, tax_id=tax_id, top_k=top_k) elif method == "rag": - recommendations = get_species_recommendations_rag(specs_to_evaluate, synonyms_dict, database=DatabaseID.NCBIGENE.value, tax_id=tax_id, top_k=top_k) + recommendations = get_species_recommendations_rag(specs_to_evaluate, synonyms_dict, database=DatabaseID.NCBIGENE.value, tax_id=tax_id) else: logger.error(f"Invalid method: {method}") return pd.DataFrame(), {"error": f"Invalid method: {method}"} @@ -269,7 +279,7 @@ def curate_single_model(model_file: str, if method == "direct": recommendations = get_species_recommendations_direct(specs_to_evaluate, synonyms_dict, database=DatabaseID.UNIPROT.value, tax_id=tax_id, top_k=top_k) elif method == "rag": - recommendations = get_species_recommendations_rag(specs_to_evaluate, synonyms_dict, database=DatabaseID.UNIPROT.value, tax_id=tax_id, top_k=top_k) + recommendations = get_species_recommendations_rag(specs_to_evaluate, synonyms_dict, database=DatabaseID.UNIPROT.value, tax_id=tax_id) else: logger.error(f"Invalid method: {method}") return pd.DataFrame(), {"error": f"Invalid method: {method}"} @@ -287,21 +297,6 @@ def curate_single_model(model_file: str, model_file, recommendations, existing_annotations, model_info, entity_type.value, database.value, qualifier_annotations, synonyms_dict=synonyms_dict, reason=reason ) - - if top_k > n_return: - rank_start = time.time() - ranked_df = rank_species_annotations_with_llm( - model_file, - recommendations_df, - llm_model=llm_model, - n_return=n_return, - model_notes=_notes_plus_message( - (model_info or {}).get("model_notes", ""), message - ), - ) - llm_time += time.time() - rank_start - if not ranked_df.empty: - recommendations_df = ranked_df # Step 9: Calculate metrics total_time = time.time() - start_time @@ -310,35 +305,24 @@ def curate_single_model(model_file: str, ) csv_path = f"{Path(model_file).name}_recommendations.csv" - if not recommendations_df.empty and "id" in recommendations_df.columns: - recommendations_df = recommendations_df[recommendations_df["id"] != "Reason:"].reset_index(drop=True) recommendations_df.to_csv(csv_path, index=False) - print(f"Saved {len(recommendations_df)} recommendations to {csv_path}") - _print_run_summary(recommendations_df, entity_word="species", reason=reason) - _vprint(verbose, f"Finished in {total_time:.1f}s") - # logger.info(f"Curation completed in {total_time:.2f}s – {len(recommendations_df)} recommendations") + print(f"Recommendations saved to {csv_path}") + logger.info(f"Curation completed in {total_time:.2f}s – {len(recommendations_df)} recommendations") from core.feedback import AnnotationResult, build_initial_conversation combined_prompt = "\n\n".join(all_prompts) combined_response = "\n\n".join(all_responses) - combined_assistant_message = assistant_messages[0] if len(assistant_messages) == 1 else None return AnnotationResult( recommendations_df, metrics, model_file=model_file, - conversation_history=build_initial_conversation( - system_prompt, - combined_prompt, - combined_response, - assistant_message=combined_assistant_message, - ), + conversation_history=build_initial_conversation(system_prompt, combined_prompt, combined_response), entities_to_evaluate=specs_to_evaluate, entity_type=entity_type, database=database, method=method, llm_model=llm_model, top_k=top_k, - n_return=n_return, tax_id=tax_id, existing_annotations=existing_annotations, qualifier_annotations=qualifier_annotations, @@ -354,7 +338,7 @@ def _generate_recommendation_table(model_file: str, database: str = DatabaseID.CHEBI.value, qualifier_annotations: Dict[str, List[str]] = None, synonyms_dict: Dict[str, List[str]] = None, - reason: str | Dict[str, str] = "") -> pd.DataFrame: + reason: str = "") -> pd.DataFrame: """ Generate AMAS-compatible recommendation table. @@ -367,7 +351,7 @@ def _generate_recommendation_table(model_file: str, database: Database being used for search qualifier_annotations: Dictionary of qualifier annotations synonyms_dict: Dictionary mapping species IDs to LLM-suggested synonyms - reason: LLM reasoning text, or per-entity map for chunked runs + reason: LLM reasoning text Returns: DataFrame in AMAS format @@ -381,7 +365,7 @@ def _generate_recommendation_table(model_file: str, seen_pairs = set() for rec in recommendations: - curated_name = ", ".join(synonyms_dict.get(rec.id) or []) + curated_name = synonyms_dict.get(rec.id, [""])[0] if not rec.candidates: if qualifier_annotations and rec.id in qualifier_annotations and qualifier_annotations[rec.id]: @@ -452,7 +436,7 @@ def _generate_recommendation_table(model_file: str, for ann in ann_list: if (species_id, ann) not in seen_pairs: candidate_display = f"{database.upper()}:{ann}" - curated_name = ", ".join(synonyms_dict.get(species_id) or []) + curated_name = synonyms_dict.get(species_id, [""])[0] if qualifier_annotations: specific_qualifier = qualifier_annotations.get(species_id, {}).get(ann, 'is') @@ -483,7 +467,21 @@ def _generate_recommendation_table(model_file: str, df = df.sort_values(by=['id', '_status_order']).reset_index(drop=True) df = df.drop(columns=['_status_order']) - return _apply_reason_comments(df, reason) + if reason: + reason_row = pd.DataFrame([{ + 'file': filename, 'type': '', 'id': 'Reason:', + 'display_name': reason, 'curated_name': '', + 'annotation': '', 'annotation_label': '', + 'match_score': None, 'status': '', + 'update_annotation': '', 'qualifier': '' + }]) + if df.empty: + df = reason_row + else: + reason_row = reason_row.reindex(columns=df.columns) + df = pd.concat([reason_row, df], ignore_index=True) + + return df def _calculate_metrics(recommendations_df: pd.DataFrame, existing_annotations: Dict[str, List[str]], @@ -593,9 +591,8 @@ def curate_model(model_file: str, **kwargs) -> Tuple[pd.DataFrame, Dict[str, Any Args: model_file: Path to SBML model file **kwargs: Additional arguments passed to curate_single_model - (``top_k`` for retrieval, ``n_return`` for the final LLM ranking) Returns: Tuple of (recommendations_df, metrics_dict) """ - return curate_single_model(model_file, **kwargs) + return curate_single_model(model_file, **kwargs) \ No newline at end of file diff --git a/core/database_search.py b/core/database_search.py index 2c4a961..9888e69 100644 --- a/core/database_search.py +++ b/core/database_search.py @@ -5,23 +5,42 @@ Currently supports ChEBI, extensible to other databases. """ +from pathlib import Path +import sys + +# Make repo root importable when this module is executed directly (e.g. via debugger) +# or when the working directory is not the repository root. +_REPO_ROOT = Path(__file__).resolve().parents[1] +if str(_REPO_ROOT) not in sys.path: + sys.path.insert(0, str(_REPO_ROOT)) + + import os import re import lzma import pickle from typing import Any, Dict, List, Mapping, Optional, Set, Tuple -from pathlib import Path from dataclasses import dataclass import logging from collections import Counter, defaultdict from itertools import product -import sys import chromadb from chromadb.utils import embedding_functions -from utils.constants import REF_CHEBI2LABEL, REF_NAMES2CHEBI, REF_NCBIGENE2LABEL, REF_NAMES2NCBIGENE, REF_UNIPROT2LABEL, REF_NAMES2UNIPROT -from utils.constants import REF_CHEBI2KEGG_COMPOUND, REF_KEGG_REACTION2NAME, REF_KEGG2EC, REF_KEGG_REACTION_FEATURES, REF_KEGG_PARSED_REACTIONS -# from utils.constants import SYNONYM_WORDS_TO_REMOVE +from utils.constants import ( + REF_CHEBI2LABEL, + REF_NAMES2CHEBI, + REF_NCBIGENE2LABEL, + REF_NAMES2NCBIGENE, + REF_UNIPROT2LABEL, + REF_NAMES2UNIPROT, + REF_CHEBI2KEGG_COMPOUND, + REF_KEGG_REACTION2NAME, + REF_KEGG2EC, + REF_KEGG_REACTION_FEATURES, + REF_KEGG_PARSED_REACTIONS + ) # from utils.constants import SYNONYM_WORDS_TO_REMOVE from core.data_types import Recommendation, ReactionRecommendation +from core.model_info import reaction_stoichiometry_lhs_rhs_species from core.reaction.hierarchy_relaxation import ( expand_chebi_with_metadata, iter_chebi_for_species, @@ -29,7 +48,8 @@ merge_chebi_to_kegg_mapping, ) from core.reaction.scoring import unified_reaction_objective -from core.reaction.classification import classify_reaction +# Reaction classification (mappable/non_mappable) was used historically to gate scoring/coverage. +# The current pipeline generates candidates for all reactions without dropping any. from core.reaction.kegg_definition import extract_classifications @@ -766,6 +786,8 @@ def _get_kegg_recommendations_rulebased( top_k: int = None, spectators: bool = False, *, + evaluate_candidates: bool = False, + include_exchange_reactions: bool = False, relaxation_levels_by_entity: Optional[Mapping[str, int]] = None, penalty_lam: float = 0.0, max_relax_level: int = 1, @@ -785,6 +807,12 @@ def _get_kegg_recommendations_rulebased( species_ids: List of reaction IDs to evaluate cofactors_to_ignore: Set of KEGG IDs of cofactors to ignore top_k: Number of top candidates to return per reaction + evaluate_candidates: If True, compute similarity scores / objective ranking. + If False (default), run only candidate generation/filtering and return + ``match_score=[]``. + include_exchange_reactions: If True, attempt candidate generation for + exchange reactions (empty LHS or RHS). If False (default), exchange + reactions are retained but returned with no candidates. Returns: List of Recommendation objects with candidates and match scores @@ -936,35 +964,6 @@ def _build_relaxed_block( } return out - def _species_ids_from_equation_side(side_str: str) -> set: - out = set() - side = str(side_str or "").strip() - if not side: - return out - for term in side.split("+"): - parts = term.strip().split() - if not parts: - continue - if len(parts) == 1: - met = parts[0] - else: - try: - float(parts[0]) - except ValueError: - met = term.strip() - else: - met = parts[-1] - met = met.lstrip("$").strip() - if met: - out.add(met) - return out - - def _reaction_species_ids(reaction_equation: str) -> Tuple[set, set]: - if "=>" in reaction_equation or "->" in reaction_equation: - lhs, rhs = re.split(r"=>|->", reaction_equation, maxsplit=1) - return _species_ids_from_equation_side(lhs), _species_ids_from_equation_side(rhs) - return set(), set() - def _expand_one_species(chebi_id: str, depth: int) -> List[Dict[str, Any]]: if not chebi_id or parent_map is None or chebi_to_kegg is None: return [] @@ -1025,9 +1024,12 @@ def _recover_species_kegg_candidates( try: logger.info(f"Loading KEGG reaction data...") # Load KEGG reaction data - kegg_parsed_reactions_dict = load_kegg_parsed_reactions_dict() + kegg_parsed_reactions_dict = None + if evaluate_candidates: + kegg_parsed_reactions_dict = load_kegg_parsed_reactions_dict() kegg_reaction_features_dict = load_kegg_reaction_features_dict() - logger.info(f"Loaded {len(kegg_parsed_reactions_dict)} parsed KEGG reactions") + if evaluate_candidates and kegg_parsed_reactions_dict is not None: + logger.info(f"Loaded {len(kegg_parsed_reactions_dict)} parsed KEGG reactions") logger.info(f"Loaded {len(kegg_reaction_features_dict)} KEGG reaction features") recommendations = [] @@ -1075,7 +1077,28 @@ def _recover_species_kegg_candidates( # --- Stage 1A: species-level relaxation (independent trigger) --- # Trigger: species has no KEGG candidates (including dropped/unmapped species). - lhs_species, rhs_species = _reaction_species_ids(reaction_str) + lhs_species, rhs_species = reaction_stoichiometry_lhs_rhs_species(reaction_str) + + reaction_class = "exchange" if (not lhs_species or not rhs_species) else "internal" + if reaction_class == "exchange" and not include_exchange_reactions: + # Keep one record so the reaction remains visible downstream, but skip + # candidate generation/scoring for exchange reactions unless requested. + recommendation = ReactionRecommendation( + id=reaction_label, + synonyms=[], + equation=reaction_str, + substrates=dict(model_subs), + products=dict(model_prods), + candidates=[], + candidate_names=[], + match_score=[], + metadata={ + "reaction_class": reaction_class, + "exchange_skipped": True, + }, + ) + recommendations.append(recommendation) + continue if species_to_chebi is not None and parent_map is not None and chebi_to_kegg is not None: _recover_species_kegg_candidates( @@ -1143,16 +1166,43 @@ def _recover_species_kegg_candidates( # not penalized for hierarchy hops (multiple relaxed candidates may coexist). reaction_penalty = 0.0 - # Keep selected mapping (strict or relaxed) on recommendation payload. - model_subs = active_subs - model_prods = active_prods - reaction_type = classify_reaction( - reaction_str, - filtered_species=filtered_species, - candidates=filtered_reaction_list, - ) matches = [] + # Optional short-circuit: return generated candidates only (no scoring / ranking). + if not evaluate_candidates: + candidate_ids = sorted(filtered_reaction_list) if filtered_reaction_list else [] + if top_k: + candidate_ids = candidate_ids[:top_k] + + candidate_names = [] + for kegg_id in candidate_ids: + orthology = kegg_reaction_features_dict.get(kegg_id, kegg_id).get("ORTHOLOGY", "") + candidate_names.append(extract_classifications(orthology, 'orthology')) + + recommendation = ReactionRecommendation( + id=reaction_label, + synonyms=[], + equation=reaction_str, + substrates=active_subs, + products=active_prods, + candidates=candidate_ids, + candidate_names=candidate_names, + match_score=[], + metadata={ + "reaction_class": reaction_class, + "filtered_species_count": int(len(filtered_species)), + "candidate_count": int(len(filtered_reaction_list)), + "participant_relaxation": sorted( + participant_relaxation.values(), + key=lambda x: (x.get("species_id", ""), x.get("kegg_id", "")), + ), + "reaction_penalty": reaction_penalty, + "scoring_skipped": True, + }, + ) + recommendations.append(recommendation) + continue + # Create a (substrates, products) pair in Counter form for similarity scoring cartesian_products = [(sub_counter, prod_counter)] # Compare with each KEGG reaction @@ -1210,13 +1260,13 @@ def _recover_species_kegg_candidates( id=reaction_label, synonyms=[], equation=reaction_str, - substrates=model_subs, - products=model_prods, + substrates=active_subs, + products=active_prods, candidates=candidates, candidate_names=candidate_names, match_score=match_scores, metadata={ - "reaction_type": reaction_type, + "reaction_class": reaction_class, "filtered_species_count": int(len(filtered_species)), "candidate_count": int(len(filtered_reaction_list)), "participant_relaxation": sorted( @@ -1224,16 +1274,10 @@ def _recover_species_kegg_candidates( key=lambda x: (x.get("species_id", ""), x.get("kegg_id", "")), ), "reaction_penalty": reaction_penalty, - "failed_default_score": 0.0, }, ) - if reaction_type == "failed_mapping": - # Keep one record so downstream aggregation can score failed-but-eligible reactions. - recommendation.match_score = [0.0] - recommendations.append(recommendation) - elif reaction_type == "non_mappable": - # Keep one record for coverage tracking; excluded by aggregator from scoring. - recommendation.match_score = [] + if not candidates: + # Keep one record so the reaction remains visible downstream. recommendations.append(recommendation) else: recommendations.extend(split_recommendation(recommendation)) diff --git a/core/model_info.py b/core/model_info.py index e2c322f..35cdba8 100644 --- a/core/model_info.py +++ b/core/model_info.py @@ -18,6 +18,7 @@ ModelType, CHEBI_URI_PATTERNS, KEGG_REACTION_URI_PATTERNS, + KEGG_COMPOUND_URI_PATTERNS, NCBIGENE_URI_PATTERNS, UNIPROT_URI_PATTERNS, ) @@ -299,7 +300,8 @@ def find_species_with_annotations_and_qualifiers(model_file: str, database: str, Args: model_file: Path to the SBML model file - database: Database to search ("chebi", "ncbigene", "uniprot") + database: Database to search ("chebi", "ncbigene", "uniprot", "kegg"). + For species, "kegg" means KEGG compound IDs (C#####). bqbiol_qualifiers: List of bqbiol qualifiers to extract (e.g. ['is', 'isVersionOf', 'hasPart']) Returns: @@ -328,6 +330,8 @@ def find_species_with_annotations_and_qualifiers(model_file: str, database: str, uri_patterns = NCBIGENE_URI_PATTERNS elif database == DatabaseID.UNIPROT.value: uri_patterns = UNIPROT_URI_PATTERNS + elif database == DatabaseID.KEGG.value: + uri_patterns = KEGG_COMPOUND_URI_PATTERNS else: logger.warning(f"Database {database} not supported") return {}, {} @@ -791,6 +795,53 @@ def build_antimony_reaction_index(model_file: str) -> List[Tuple[str, str, Set[s return index +def _species_ids_from_stoichiometry_side(side_str: str) -> Set[str]: + """Metabolite/species tokens on one side of a reaction equation.""" + out: Set[str] = set() + side = str(side_str or "").strip() + if not side: + return out + for term in side.split("+"): + parts = term.strip().split() + if not parts: + continue + if len(parts) == 1: + met = parts[0] + else: + try: + float(parts[0]) + except ValueError: + met = term.strip() + else: + met = parts[-1] + met = met.lstrip("$").strip() + if met: + out.add(met) + return out + + +def reaction_stoichiometry_lhs_rhs_species(reaction_str: str) -> Tuple[Set[str], Set[str]]: + """Return ``(lhs_species_ids, rhs_species_ids)`` parsed from a reaction string.""" + s = str(reaction_str or "") + if "=>" in s or "->" in s: + lhs, rhs = re.split(r"=>|->", s, maxsplit=1) + return ( + _species_ids_from_stoichiometry_side(lhs), + _species_ids_from_stoichiometry_side(rhs), + ) + return set(), set() + + +def exchange_constraint_skipped_reaction_ids(model_file: str) -> Set[str]: + """SBML reaction ids with an empty LHS or RHS (source/sink/exchange-style).""" + out: Set[str] = set() + for reaction_id, reaction_str, _ in build_antimony_reaction_index(model_file): + lhs, rhs = reaction_stoichiometry_lhs_rhs_species(reaction_str) + if not lhs or not rhs: + out.add(str(reaction_id)) + return out + + def filter_reactions_from_antimony_index( antimony_index: List[Tuple[str, str, Set[str]]], species_ids: List[str], diff --git a/core/reaction/amendment.py b/core/reaction/amendment.py index a41caa8..dd5222c 100644 --- a/core/reaction/amendment.py +++ b/core/reaction/amendment.py @@ -217,8 +217,8 @@ def compute_reaction_likelihoods( DEPRECATED: This method is kept for backward compatibility. Use compute_rscores() for EM-style algorithm. """ - # logger.warning("compute_reaction_likelihoods is deprecated. Use compute_rscores() instead.") - # logger.info(f"Computing likelihoods for {len(kegg_recommendations_df)} reactions") + logger.warning("compute_reaction_likelihoods is deprecated. Use compute_rscores() instead.") + logger.info(f"Computing likelihoods for {len(kegg_recommendations_df)} reactions") logger.debug(f"Reactions in init_probs: {len(init_probs)}") result_df = kegg_recommendations_df.copy() @@ -897,13 +897,8 @@ def update_participant_likelihoods( top_k=None, ) - allowed_reaction_types = {"mappable", "ambiguous_mapping"} - match_results = [ - rec - for rec in match_results - if str((getattr(rec, "metadata", None) or {}).get("reaction_type", "mappable")) - in allowed_reaction_types - ] + # Keep all reactions (including those with zero candidates) so the workflow + # can attempt candidate generation everywhere. logger.info(f"Iteration {iteration}: Generating recommendation table") updated_kegg_recommendations_df = _generate_recommendation_table( diff --git a/core/reaction/annotation_workflow.py b/core/reaction/annotation_workflow.py index b3f7aa3..968f442 100644 --- a/core/reaction/annotation_workflow.py +++ b/core/reaction/annotation_workflow.py @@ -1,28 +1,37 @@ import logging +import time from collections import Counter from pathlib import Path -from typing import Dict, List, NamedTuple, Optional +from typing import Any, Dict, FrozenSet, List, NamedTuple, Optional, Tuple, Union import pandas as pd from core.annotation_workflow import _generate_recommendation_table +from core.database_search import _get_kegg_recommendations_rulebased from core.llm_interface import query_llm from core.model_info import ( extract_model_info, extract_reactions_from_sbml, + find_species_with_annotations_and_qualifiers, + find_species_with_chebi_annotations, get_all_reaction_ids, map_reaction_ids_to_stoichiometry_strings, ) from .amendment import LikelihoodCalculator, update_participant_likelihoods +from .matching import map_reactions_to_kegg from .scoring import SimilarityCalculator from .amendment_config import CofactorConfig, ConvergenceConfig, MatchingConfig from .kegg_features import KEGGReactionFeatures, REF_KEGG_REACTION_FEATURES from .relaxation_workflow import map_reactions_to_kegg_with_relaxation from .species_probability import init_species_probs_from_dict from .utils import check_environment, extract_reaction_participants, map_chebi_to_kegg -from utils.constants import EntityType +from utils.constants import DatabaseID, EntityType +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", +) logger = logging.getLogger(__name__) @@ -46,9 +55,17 @@ def run_kegg_annotation_workflow_rulebased( cofactor_config: Optional[CofactorConfig] = None, convergence_config: Optional[ConvergenceConfig] = None, matching_config: Optional[MatchingConfig] = None, + evaluate_candidates: bool = False, + include_exchange_reactions: bool = False, + disable_ontology_relaxation: bool = False, ) -> Optional[KeggAnnotationWorkflowResult]: """Run the complete KEGG annotation workflow. + Args: + disable_ontology_relaxation: If True, skips ChEBI ontology relaxation + entirely (equivalent to ``max_relax_level=0``). Species are only + matched at their exact ChEBI level; no ancestor traversal is attempted. + Returns: KeggAnnotationWorkflowResult with four DataFrames, or ``None`` if the environment check fails (see :func:`~core.reaction.utils.check_environment`). @@ -66,43 +83,54 @@ def run_kegg_annotation_workflow_rulebased( logger.error("Environment check failed. Please fix the issues and try again.") return None - # logger.info("Analyzing model: %s", model_file) + logger.info("Analyzing model: %s", model_file) reaction_ids = get_all_reaction_ids(model_file) model_info = extract_model_info(model_file, reaction_ids, entity_type) - # logger.info("Step 2: Map ChEBI IDs to KEGG Compound IDs") + logger.info("Step 2: Map ChEBI IDs to KEGG Compound IDs") _, high_score_recommendations = map_chebi_to_kegg(recommendations_df) - # logger.info("\nSample of ChEBI to KEGG mapping:") - # if not high_score_recommendations.empty: - # logger.info( - # high_score_recommendations[ - # ["id", "display_name", "annotation", "KEGG_ID", "match_score"] - # ].head() - # ) + logger.info("\nSample of ChEBI to KEGG mapping:") + if not high_score_recommendations.empty: + sample_cols = ["id", "display_name", "annotation", "KEGG_ID", "match_score"] + sample_cols = [c for c in sample_cols if c in high_score_recommendations.columns] + logger.info( + high_score_recommendations[ + sample_cols + ].head() + ) - # logger.info("Step 3: Begin rule-based matching to identify reactions") - reactions, _ = extract_reactions_from_sbml( - model_file, - list(high_score_recommendations["id"].unique()), - ) - _, match_results, _species_relax_levels = map_reactions_to_kegg_with_relaxation( - reactions, - reaction_ids, - high_score_recommendations, - spectators=False, - cofactors_to_ignore=cofactor_config.kegg_ids, - top_k=None, - ) + logger.info("Step 3: Begin rule-based matching to identify reactions") + # ``map_chebi_to_kegg`` returns an empty DataFrame with no columns when every + # species ChEBI term fails ChEBI→KEGG mapping; avoid ``df["id"]`` on schema-less + # frames. + if high_score_recommendations.empty or "id" not in high_score_recommendations.columns: + mapped_species_ids: List[str] = [] + logger.warning( + "No high-score ChEBI→KEGG compound mappings (species evidence); " + "skipping relaxation-based reaction matching." + ) + else: + mapped_species_ids = list(high_score_recommendations["id"].astype(str).unique()) - # Only keep reaction candidates that are eligible for updating. - allowed_reaction_types = {"mappable", "ambiguous_mapping"} - match_results = [ - rec - for rec in match_results - if str((getattr(rec, "metadata", None) or {}).get("reaction_type", "mappable")) in allowed_reaction_types - ] + reactions, _ = extract_reactions_from_sbml(model_file, mapped_species_ids) + + if high_score_recommendations.empty or "id" not in high_score_recommendations.columns: + match_results: List[Any] = [] + _species_relax_levels: Dict[str, int] = {} + else: + _, match_results, _species_relax_levels = map_reactions_to_kegg_with_relaxation( + reactions, + reaction_ids, + high_score_recommendations, + spectators=False, + cofactors_to_ignore=cofactor_config.kegg_ids, + top_k=None, + evaluate_candidates=bool(evaluate_candidates), + include_exchange_reactions=bool(include_exchange_reactions), + max_relax_level=0 if disable_ontology_relaxation else 2, + ) kegg_recommendations_df = _generate_recommendation_table( model_file, @@ -114,14 +142,13 @@ def run_kegg_annotation_workflow_rulebased( {}, ) - if kegg_recommendations_df.empty or "match_score" not in kegg_recommendations_df.columns: - logger.warning("No KEGG reaction candidates generated.") - empty = pd.DataFrame() + if not evaluate_candidates: + logger.info("Generation-only mode: skipping scoring/participant update steps.") return KeggAnnotationWorkflowResult( high_score_recommendations=high_score_recommendations, - kegg_recommendations=empty, - scored_reactions=empty, - updated_participants=empty, + kegg_recommendations=kegg_recommendations_df, + scored_reactions=pd.DataFrame(), + updated_participants=pd.DataFrame(), ) kegg_recommendations_df["match_score_norm"] = ( @@ -153,37 +180,30 @@ def run_kegg_annotation_workflow_rulebased( likelihood_calc = LikelihoodCalculator(cofactor_config, matching_config, convergence_config) scored_df = likelihood_calc.compute_reaction_likelihoods(init_probs, kegg_recommendations_df) - if convergence_config.max_iterations <= 0: - updated_participants_df = high_score_recommendations.copy() - if "participant_likelihood" not in updated_participants_df.columns: - updated_participants_df["participant_likelihood"] = updated_participants_df.get( - "match_score", 0.0 - ) - else: - updated_participants_df, _ = update_participant_likelihoods( - high_score_recommendations, - scored_df, - model_file, - model_info=model_info, - kegg_features=kegg_features, - reactions=reactions, - reaction_ids=reaction_ids, - entity_type=entity_type, - database=database, - cofactor_config=cofactor_config, - convergence_config=convergence_config, - ) + updated_participants_df, _ = update_participant_likelihoods( + high_score_recommendations, + scored_df, + model_file, + model_info=model_info, + kegg_features=kegg_features, + reactions=reactions, + reaction_ids=reaction_ids, + entity_type=entity_type, + database=database, + cofactor_config=cofactor_config, + convergence_config=convergence_config, + ) - # logger.info("\nSample of participants with updated likelihoods after convergence:") - # if not updated_participants_df.empty: - # logger.info( - # updated_participants_df[["id", "display_name", "KEGG_ID", "participant_likelihood"]].head() - # ) + logger.info("\nSample of participants with updated likelihoods after convergence:") + if not updated_participants_df.empty: + logger.info( + updated_participants_df[["id", "display_name", "KEGG_ID", "participant_likelihood"]].head() + ) updated_participants_df.sort_values(by="participant_likelihood", ascending=False, inplace=True) scored_df.sort_values(by="likelihood", ascending=False, inplace=True) - # logger.info("KEGG annotation workflow completed successfully.") + logger.info("KEGG annotation workflow completed successfully.") return KeggAnnotationWorkflowResult( high_score_recommendations=high_score_recommendations, kegg_recommendations=kegg_recommendations_df, @@ -208,14 +228,24 @@ def _strip_kegg_prefix(raw) -> str: return s -def _build_reaction_annotation_choices(sub_df: pd.DataFrame) -> str: - """Build a newline-separated string of ``R#####: `` for an LLM prompt.""" +def _build_reaction_annotation_choices( + sub_df: pd.DataFrame, + allowed_kegg_ids: Optional[set] = None, +) -> str: + """Build a newline-separated string of ``R#####: `` for an LLM prompt. + + If *allowed_kegg_ids* is given, only candidates whose KEGG id is in that + set are emitted (used to restrict the prompt to the IUBMB-leaf + representatives selected by :func:`_group_candidates_by_iubmb`). + """ lines: list[str] = [] seen: set[tuple[str, str]] = set() for _, row in sub_df.iterrows(): rid = _strip_kegg_prefix(row.get("annotation", "")) if not rid: continue + if allowed_kegg_ids is not None and rid not in allowed_kegg_ids: + continue definition = row.get("reaction_definition", "") if definition is None or (isinstance(definition, float) and definition != definition): definition = "" @@ -229,21 +259,160 @@ def _build_reaction_annotation_choices(sub_df: pd.DataFrame) -> str: return "\n".join(lines) +def _group_candidates_by_iubmb( + ordered_kegg_ids: List[str], + kegg_features: "KEGGReactionFeatures", +) -> Tuple[Dict[str, List[str]], Dict[str, str], List[str]]: + """Cluster KEGG reaction candidates by their IUBMB BRITE hierarchy. + + Uses the per-reaction IUBMB hierarchy block (``[BR:br08202]``) to figure + out which candidates collapse together. Two candidates land in the same + group when their (ancestors ∪ {self}) sets overlap — a transitive closure + that connects e.g. ``R00299`` and ``R01786`` because both list ``R02848`` + as their IUBMB parent under EC 2.7.1.1. + + For each group we report: + * ``brite_group_members`` — every candidate that ended up in the group, + in input order. Members are the only candidates that share an IUBMB + subtree; reactions that lack a ``br08202`` block (e.g. ``R10049``) + stay in their own singleton group and are never collapsed with + biochemically distinct neighbors. + * ``brite_iubmb_parent`` — the topmost element of the group's + ancestor closure. This is whichever R-number sits above every other + chain element when we read each candidate's IUBMB subblock as a + root-to-self chain. The parent may itself be a candidate + (e.g. ``R01068`` for the aldolase pair) or a non-candidate + (e.g. ``R02848`` for the hexokinase pair when only ``R00299`` + and ``R01786`` are in the input). + * Leaves — candidates that no other candidate has as an ancestor. + These are the "most specific" entries in the candidate set and are + the ones we hand to the LLM. + + Args: + ordered_kegg_ids: Bare KEGG reaction ids (e.g. ``["R00299", "R01600"]``) + in display order. Order matters for stable output ordering only. + kegg_features: Loaded :class:`KEGGReactionFeatures` instance. + + Returns: + ``(kid_to_members, kid_to_iubmb_parent, leaves_in_order)``: + * ``kid_to_members[kid]`` — ordered member list of *kid*'s group. + * ``kid_to_iubmb_parent[kid]`` — IUBMB parent R-number for *kid*'s + group (empty string if neither *kid* nor any group-mate has a + ``br08202`` block). + * ``leaves_in_order`` — group leaves across all groups, in input + order. These are the candidates the LLM should rank. + """ + if not ordered_kegg_ids: + return {}, {}, [] + + cand_to_chains: Dict[str, Tuple[Tuple[str, ...], ...]] = { + kid: kegg_features.get_iubmb_chains(f"KEGG:{kid}") + for kid in ordered_kegg_ids + } + cand_to_ancestors: Dict[str, FrozenSet[str]] = { + kid: kegg_features.get_iubmb_ancestors(f"KEGG:{kid}") + for kid in ordered_kegg_ids + } + cand_to_chain_set: Dict[str, set] = { + kid: set(cand_to_ancestors[kid]) | {kid} for kid in ordered_kegg_ids + } + + parent: Dict[str, str] = {c: c for c in ordered_kegg_ids} + + def _find(x: str) -> str: + while parent[x] != x: + parent[x] = parent[parent[x]] + x = parent[x] + return x + + def _union(a: str, b: str) -> None: + ra, rb = _find(a), _find(b) + if ra != rb: + parent[rb] = ra + + elem_to_candidates: Dict[str, List[str]] = {} + for kid in ordered_kegg_ids: + for elem in cand_to_chain_set[kid]: + elem_to_candidates.setdefault(elem, []).append(kid) + for cands_sharing in elem_to_candidates.values(): + first = cands_sharing[0] + for other in cands_sharing[1:]: + _union(first, other) + + group_to_members: Dict[str, List[str]] = {} + for c in ordered_kegg_ids: + root = _find(c) + group_to_members.setdefault(root, []).append(c) + + kid_to_members: Dict[str, List[str]] = {} + kid_to_iubmb_parent: Dict[str, str] = {} + is_leaf: Dict[str, bool] = {c: True for c in ordered_kegg_ids} + + first_idx = {kid: i for i, kid in enumerate(ordered_kegg_ids)} + + for members in group_to_members.values(): + # Build the closure of every chain element seen across this group's + # candidates and an `ancestor_of` relation (a, b) meaning "a appears + # before b in some candidate's IUBMB chain". + closure: set = set() + ancestor_of: set = set() + elem_first_seen: Dict[str, int] = {} + for m in members: + for chain_idx, chain in enumerate(cand_to_chains[m]): + for pos, node in enumerate(chain): + if node not in elem_first_seen: + elem_first_seen[node] = ( + first_idx[m] * 10000 + chain_idx * 100 + pos + ) + closure.add(node) + for descendant in chain[pos + 1 :]: + ancestor_of.add((node, descendant)) + closure.add(m) + + # IUBMB parent: a closure element with no element above it in the + # closure. Tie-break by earliest appearance across all chains. + topmost = [ + e for e in closure + if not any((other, e) in ancestor_of for other in closure if other != e) + ] + if topmost: + iubmb_parent = min(topmost, key=lambda e: elem_first_seen.get(e, 10**9)) + else: + iubmb_parent = "" + + # Leaves: candidates that no other candidate has as an ancestor. + ancestor_union: set = set() + for m in members: + ancestor_union |= cand_to_ancestors[m] + for m in members: + if m in ancestor_union: + is_leaf[m] = False + kid_to_members[m] = members + kid_to_iubmb_parent[m] = iubmb_parent + + leaves_in_order = [c for c in ordered_kegg_ids if is_leaf.get(c, True)] + return kid_to_members, kid_to_iubmb_parent, leaves_in_order + + def rank_kegg_annotations_with_llm( model_file: str, recommendations_df: pd.DataFrame, - llm_model: str = "gpt-4o-mini", + llm_model: str = "Llama-3.3-70B-Instruct", kegg_features_file: str = REF_KEGG_REACTION_FEATURES, - n_return: int = 3, + top_k: int = 10, csv_path: Optional[str] = None, - model_notes: str = "", + only_rank_meaningful = True, ) -> pd.DataFrame: """Re-rank KEGG reaction candidates using an LLM and return a filtered DataFrame. For each reaction in *model_file* that has candidate annotations in - *recommendations_df*, build a ranking prompt with the KEGG DEFINITION text - and ask the LLM to select the best-matching KEGG ids. The returned - DataFrame contains only the LLM-selected rows, in order of appearance. + *recommendations_df*, candidates are first collapsed by their IUBMB + BRITE hierarchy: variants like ``R00299`` (D-Glucose hexokinase) and + ``R01786`` (alpha-D-Glucose hexokinase) — both children of IUBMB parent + ``R02848`` — are grouped together and only the leaves of each group + (the most-specific entries in the candidate set) are sent to the LLM. + The LLM is asked to select the best-matching KEGG ids, and the returned + DataFrame contains the LLM-selected rows in ranked order. Args: model_file: Path to the SBML model file. @@ -251,71 +420,196 @@ def rank_kegg_annotations_with_llm( ``annotate_model`` or loaded from its CSV output). llm_model: LLM model identifier forwarded to :func:`query_llm`. kegg_features_file: Path to the KEGG reaction features lzma file. - n_return: Maximum number of KEGG ids to keep per reaction from the LLM - response. Reactions with this many or fewer candidates skip the LLM. - csv_path: If given, the enriched recommendations table (with the - ``reaction_definition`` column) is saved to this path before - ranking begins. - model_notes: Optional SBML model notes included in the ranking prompt. + top_k: Maximum number of KEGG ids to keep per reaction from the LLM + response. + csv_path: If given, the enriched recommendations table — augmented + with ``reaction_definition``, ``brite_group_members`` (every + candidate folded into the same IUBMB group, semicolon-joined) + and ``brite_iubmb_parent`` (the topmost IUBMB ancestor of the + group) — is saved to this path before ranking begins. Returns: A DataFrame filtered to the LLM-selected KEGG ids, in ranked order. - A copy is saved to ``_llm_ranked.csv`` only when the LLM - ranking step actually ran. + Carries the ``reaction_definition``, ``brite_group_members`` and + ``brite_iubmb_parent`` columns. A copy is also saved to + ``_llm_ranked.csv`` next to *csv_path* (or next to + *model_file* if *csv_path* is not provided). """ from utils.constants import REACTION_ANNOTATION_RANKING_PROMPT - from core.annotation_workflow import _parse_ranked_id_lines result_df = recommendations_df.copy() kegg_features = KEGGReactionFeatures.load_from_file(kegg_features_file) + # Some models may yield zero candidates (or an unexpected recommendations_df shape). + # In that case, return an empty ranked dataframe instead of failing. + if result_df.empty or "annotation" not in result_df.columns or "id" not in result_df.columns: + if "reaction_definition" not in result_df.columns: + result_df["reaction_definition"] = pd.Series(dtype="object") + + base = Path(csv_path) if csv_path else Path(f"{Path(model_file).name}_recommendations") + ranked_out_path = base.with_name(base.stem + "_llm_ranked.csv") + result_df.iloc[0:0].copy().to_csv(ranked_out_path, index=False) + logger.info("LLM-ranked recommendations saved to %s", ranked_out_path) + return result_df.iloc[0:0].copy() + result_df["reaction_definition"] = result_df["annotation"].map(kegg_features.get_definition) + # Cluster candidates by their IUBMB BRITE hierarchy (``[BR:br08202]``), + # per reaction. Each row gets: + # * ``brite_group_members`` — semicolon-joined list of every candidate + # in the IUBMB group (so the user can see which KEGG entries we + # collapsed away before LLM ranking). + # * ``brite_iubmb_parent`` — the topmost IUBMB ancestor of the group + # (e.g. ``R02848`` for hexokinase variants, ``R01068`` for the + # aldolase pair). Empty if no group member has a ``br08202`` block. + # Only the leaves of each IUBMB group — the most-specific entries the + # rule-based pipeline produced — are forwarded to the LLM. + brite_kid_to_members: Dict[str, Dict[str, List[str]]] = {} + brite_kid_to_parent: Dict[str, Dict[str, str]] = {} + brite_leaves: Dict[str, List[str]] = {} + for reaction_id, sub in result_df.groupby("id", sort=False): + ordered: List[str] = [] + seen_kids: set = set() + for ann in sub["annotation"].tolist(): + kid = _strip_kegg_prefix(ann) + if kid and kid not in seen_kids: + ordered.append(kid) + seen_kids.add(kid) + kid_to_members, kid_to_parent, leaves = _group_candidates_by_iubmb( + ordered, kegg_features + ) + brite_kid_to_members[str(reaction_id)] = kid_to_members + brite_kid_to_parent[str(reaction_id)] = kid_to_parent + brite_leaves[str(reaction_id)] = leaves + + def _members_for_row(row: pd.Series) -> str: + rxn_id = str(row.get("id", "")) + kid = _strip_kegg_prefix(row.get("annotation", "")) + if not kid: + return "" + members = brite_kid_to_members.get(rxn_id, {}).get(kid, [kid]) + return ";".join(members) + + def _parent_for_row(row: pd.Series) -> str: + rxn_id = str(row.get("id", "")) + kid = _strip_kegg_prefix(row.get("annotation", "")) + if not kid: + return "" + return brite_kid_to_parent.get(rxn_id, {}).get(kid, "") + + result_df["brite_group_members"] = result_df.apply(_members_for_row, axis=1) + result_df["brite_iubmb_parent"] = result_df.apply(_parent_for_row, axis=1) + if csv_path is not None: result_df.to_csv(csv_path, index=False) + logger.info( + "%s updated with KEGG DEFINITIONs and BRITE IUBMB hierarchy columns", + csv_path, + ) reaction_ids = get_all_reaction_ids(model_file) id_to_equation = map_reaction_ids_to_stoichiometry_strings(model_file) - notes = (model_notes or "").strip() - notes_block = f"Model notes:\n{notes}\n\n" if notes else "" + model_context = "\n".join(id_to_equation.get(rid, str(rid)) for rid in reaction_ids) + + if only_rank_meaningful: + prompt = f""" + You are evaluating whether a biochemical reaction network uses biologically meaningful reaction and species names. + +Criteria for YES: + +* At least some species names correspond to recognizable biochemical entities, metabolites, macromolecules, or chemical abbreviations (e.g. ATP, ADP, IMP, DNA, PRPP, glucose). +* Reactions resemble plausible biochemical transformations or transport/degradation processes. +* The model appears interpretable by a human familiar with biochemistry. + +Criteria for NO: + +* Species and reactions are anonymous placeholders or opaque IDs (e.g. s1, c03493, x103, R13842, etc.) with no biochemical meaning. +* Reactions cannot be interpreted biologically from the names alone. +* The network appears synthetically generated or unlabeled. - kept_rows: list[pd.DataFrame] = [] - to_rank: list[tuple[str, pd.DataFrame, str, str]] = [] +Return ONLY: +TRUE +or +FALSE + +Model: +{model_context} + + """ + response_text = query_llm(prompt, model=llm_model, entity_type=EntityType.REACTION) + logger.info("LLM meaningful evaluation: %s", response_text) + meaningful = response_text.strip().lower() == "true" + else: + meaningful = False + + ranked_reaction_ids: list[str] = [] + ranked_responses: list[list[str]] = [] + ranked_llm_notes: list[str] = [] for reaction_id in reaction_ids: model_reaction = id_to_equation.get(reaction_id, reaction_id) + logger.info("Ranking candidates for %s", model_reaction) + sub = result_df[result_df["id"] == reaction_id] - choices = _build_reaction_annotation_choices(sub) - if not choices.strip(): - continue - if choices.count("\n") + 1 <= n_return: - kept_rows.append(sub) + # Show the LLM only the IUBMB-leaf candidates — the most-specific + # entries within each BRITE group. Non-leaf members (e.g. R00299 when + # R01786 is also a candidate) are still recorded per row in + # `brite_group_members` for the final output. + leaf_ids = set(brite_leaves.get(str(reaction_id), [])) + reaction_annotation_choices = _build_reaction_annotation_choices( + sub, allowed_kegg_ids=leaf_ids if leaf_ids else None + ) + if not reaction_annotation_choices.strip(): continue - to_rank.append((reaction_id, sub, choices, model_reaction)) - if not to_rank: - return result_df + if meaningful: + prompt = REACTION_ANNOTATION_RANKING_PROMPT.format( + model_context=model_context, + model_reaction=model_reaction, + reaction_annotation_choices=reaction_annotation_choices, + ) + else: + prompt = REACTION_ANNOTATION_RANKING_PROMPT.format( + model_context="", + model_reaction=model_reaction, + reaction_annotation_choices=reaction_annotation_choices, + ) - entities = "\n\n".join( - f"{rid}: {equation}\n{choices}" - for rid, _sub, choices, equation in to_rank - ) - prompt = REACTION_ANNOTATION_RANKING_PROMPT.format( - n_return=n_return, - model_notes=notes_block, - entities=entities, - ) - parsed = _parse_ranked_id_lines( - query_llm(prompt, model=llm_model, entity_type=EntityType.REACTION) - ) - ranked_rows = list(kept_rows) - for reaction_id, sub, _choices, _equation in to_rank: - selected = parsed.get(reaction_id) - if selected is None: - ranked_rows.append(sub) + # If there's only one candidate, still ask the LLM; if it rejects (UNK), + # keep the single candidate anyway with a note. + choice_lines = [ + ln.strip() for ln in reaction_annotation_choices.splitlines() if ln.strip() + ] + single_candidate_kegg: str = "" + if len(choice_lines) == 1: + single_candidate_kegg = choice_lines[0].split(":", 1)[0].strip() + + response_text = query_llm(prompt, model=llm_model, entity_type=EntityType.REACTION) + response_lines = [ + ln.strip() for ln in (response_text or "").splitlines() if ln.strip() + ] + + logger.info("%s -> %s", reaction_id, response_lines) + + if len(response_lines) == 1 and response_lines[0] == "UNK": + if single_candidate_kegg and single_candidate_kegg.upper() != "UNK": + ranked_reaction_ids.append(reaction_id) + ranked_responses.append([single_candidate_kegg][:top_k]) + ranked_llm_notes.append("LLM does not approve of this annotation") continue - for kegg_id in selected[:n_return]: + + ranked_reaction_ids.append(reaction_id) + ranked_responses.append(response_lines[:top_k]) + ranked_llm_notes.append("") + + logger.info("Collected LLM rankings for %d reactions", len(ranked_responses)) + + ranked_rows: list[pd.DataFrame] = [] + for reaction_id, kegg_ids, llm_note in zip( + ranked_reaction_ids, ranked_responses, ranked_llm_notes + ): + for kegg_id in kegg_ids: if not kegg_id: continue mask = ( @@ -323,13 +617,187 @@ def rank_kegg_annotations_with_llm( & (result_df["annotation"].astype(str).str.upper() == f"KEGG:{kegg_id}".upper()) ) rows = result_df[mask] - if not rows.empty: - ranked_rows.append(rows.iloc[[0]]) + if rows.empty: + continue + one = rows.iloc[[0]].copy() + one["llm_ranking_note"] = llm_note + ranked_rows.append(one) ranked_df = pd.concat(ranked_rows, ignore_index=True) if ranked_rows else result_df.iloc[0:0].copy() + if "llm_ranking_note" not in ranked_df.columns: + ranked_df["llm_ranking_note"] = "" base = Path(csv_path) if csv_path else Path(f"{Path(model_file).name}_recommendations") ranked_out_path = base.with_name(base.stem + "_llm_ranked.csv") ranked_df.to_csv(ranked_out_path, index=False) + logger.info("LLM-ranked recommendations saved to %s", ranked_out_path) return ranked_df + + +# --------------------------------------------------------------------------- +# Reaction-KEGG curation entry point (no LLM) +# --------------------------------------------------------------------------- + +def curate_reactions_kegg_rulebased( + model_file: str, + existing_annotations: Dict[str, List[str]], + qualifier_annotations: Dict[str, Dict[str, str]], + specs_to_evaluate: List[str], + *, + evaluate_candidates: bool = False, + include_exchange_reactions: bool = False, + llm_model: str = "", + top_k: Optional[int] = None, + tax_id: Optional[str] = None, + start_time: Optional[float] = None, +) -> Union["AnnotationResult", Tuple[pd.DataFrame, Dict[str, Any]]]: + """Curate KEGG reaction annotations using the rule-based pipeline. + + Tries species ChEBI annotations first (full ChEBI->KEGG mapping + ontology + relaxation via :func:`run_kegg_annotation_workflow_rulebased`). If no ChEBI + species annotations are present, falls back to species annotated directly + with KEGG compound IDs (no ontology relaxation), feeding the species->KEGG + table straight into :func:`_get_kegg_recommendations_rulebased`. + + The result is filtered to ``specs_to_evaluate`` (the curation target set), + saved as ``_recommendations.csv``, and wrapped in an + :class:`AnnotationResult` with an empty LLM conversation (this path is + LLM-free). + + Returns an :class:`AnnotationResult` on success, or an + ``(empty_df, {"error": ...})`` tuple on early-exit error cases (to match + the error-return convention of :func:`curate_single_model`). + """ + from core.feedback import AnnotationResult, build_initial_conversation + + if start_time is None: + start_time = time.time() + + species_chebi = find_species_with_chebi_annotations(model_file) + kegg_recommendations_df: Optional[pd.DataFrame] = None + + if species_chebi: + # Preferred path: ChEBI species annotations drive the full ChEBI->KEGG + # mapping + ontology relaxation pipeline. + rows = [ + {"id": str(sid), "annotation": str(chebi), "match_score": 1.0} + for sid, chebis in species_chebi.items() + for chebi in chebis + if chebi + ] + species_recommendations_df = pd.DataFrame(rows) + if species_recommendations_df.empty: + return pd.DataFrame(), {"error": "Empty species ChEBI table"} + + result = run_kegg_annotation_workflow_rulebased( + model_file=model_file, + recommendations_df=species_recommendations_df, + existing_annotations=existing_annotations, + evaluate_candidates=bool(evaluate_candidates), + include_exchange_reactions=bool(include_exchange_reactions), + ) + if result is None: + return pd.DataFrame(), {"error": "Rulebased KEGG reaction curation failed"} + kegg_recommendations_df = result.kegg_recommendations + else: + # Fallback: species annotated with KEGG compound IDs directly. + # ChEBI-hierarchy relaxation isn't applicable, so we bypass + # ``map_reactions_to_kegg_with_relaxation`` and feed a direct + # species->KEGG mapping into the rule-based candidate generator. + species_kegg, _ = find_species_with_annotations_and_qualifiers( + model_file, DatabaseID.KEGG.value + ) + if not species_kegg: + logger.warning( + "No existing ChEBI or KEGG-compound species annotations found; " + "cannot run rulebased KEGG reaction curation." + ) + return pd.DataFrame(), { + "error": "No existing ChEBI or KEGG-compound species annotations found" + } + + logger.info( + "No ChEBI species annotations found; falling back to existing KEGG " + "compound species annotations (%d species).", + len(species_kegg), + ) + + id_rows = [ + {"id": str(sid), "KEGG_ID": str(kegg_id)} + for sid, kegg_ids in species_kegg.items() + for kegg_id in kegg_ids + if kegg_id + ] + id_df = pd.DataFrame(id_rows) + if id_df.empty: + return pd.DataFrame(), {"error": "Empty species KEGG compound table"} + + reaction_ids = get_all_reaction_ids(model_file) + rxn_list, _ = extract_reactions_from_sbml(model_file, list(id_df["id"].unique())) + + normalized_reactions = map_reactions_to_kegg( + rxn_list, reaction_ids, id_df, spectators=False + ) + + cofactor_config = CofactorConfig() + match_results = _get_kegg_recommendations_rulebased( + normalized_reactions, + cofactors_to_ignore=cofactor_config.kegg_ids, + top_k=None, + spectators=False, + evaluate_candidates=bool(evaluate_candidates), + include_exchange_reactions=bool(include_exchange_reactions), + ) + + rxn_model_info = extract_model_info(model_file, reaction_ids, EntityType.REACTION) + kegg_recommendations_df = _generate_recommendation_table( + model_file, + match_results, + existing_annotations, + rxn_model_info, + EntityType.REACTION.value, + DatabaseID.KEGG.value, + {}, + ) + + # Filter output down to reactions that had existing KEGG annotations (curation target set). + kegg_recommendations_df = kegg_recommendations_df[ + kegg_recommendations_df["id"].astype(str).isin(set(map(str, specs_to_evaluate))) + ].copy() + + total_time = time.time() - start_time + has_prediction = kegg_recommendations_df["annotation"].astype(str).str.strip() != "" + metrics = { + "total_time": total_time, + "total_entities": len(specs_to_evaluate), + "entities_with_predictions": int(has_prediction.sum()), + "annotation_rate": float(has_prediction.mean() if len(kegg_recommendations_df) else 0.0), + } + + csv_path = f"{Path(model_file).name}_recommendations.csv" + kegg_recommendations_df.to_csv(csv_path, index=False) + print(f"Recommendations saved to {csv_path}") + logger.info( + "Curation completed in %.2fs – %d recommendations", + total_time, + len(kegg_recommendations_df), + ) + + return AnnotationResult( + kegg_recommendations_df, + metrics, + model_file=model_file, + conversation_history=build_initial_conversation("", "", ""), + entities_to_evaluate=specs_to_evaluate, + entity_type=EntityType.REACTION, + database=DatabaseID.KEGG, + method="rulebased", + llm_model=llm_model, + top_k=top_k, + tax_id=tax_id, + existing_annotations=existing_annotations, + qualifier_annotations=qualifier_annotations, + model_info=extract_model_info(model_file, specs_to_evaluate, EntityType.REACTION), + csv_path=csv_path, + ) diff --git a/core/reaction/hierarchy_relaxation.py b/core/reaction/hierarchy_relaxation.py index c2acbf1..8472888 100644 --- a/core/reaction/hierarchy_relaxation.py +++ b/core/reaction/hierarchy_relaxation.py @@ -49,6 +49,8 @@ import pandas as pd +from .kegg_compound_ids import parse_kegg_compound_id + # Baseline vs leave-one-ChEBI-out scores for ``detect_problematic_metabolites``. # Call with ``exclude_chebi=None`` for full reaction; with a ChEBI id to drop # that term's contribution on both sides of the fingerprint. @@ -316,6 +318,11 @@ def chebi_best_kegg_meta_with_ontology_fallback( if not seed: return {} + # Species annotated with bare KEGG compound ids (instead of ChEBI): identity map. + kc = parse_kegg_compound_id(seed) + if kc: + return {kc: {"direction": "exact", "distance": 0}} + # Strict mapping first (no ontology walk). direct_keggs = kegg_ids_for_chebi_term(seed, chebi_to_kegg) if direct_keggs: @@ -414,6 +421,10 @@ def normalize_chebi( for whole reactions). For multi-metabolite ChEBI lists use ``normalize_reaction``. """ + kc_id = parse_kegg_compound_id(chebi_id) + if kc_id: + return {kc_id} + if level <= 0: return kegg_ids_for_chebi_term(chebi_id, chebi_to_kegg) diff --git a/core/reaction/kegg_compound_ids.py b/core/reaction/kegg_compound_ids.py new file mode 100644 index 0000000..0c64234 --- /dev/null +++ b/core/reaction/kegg_compound_ids.py @@ -0,0 +1,31 @@ +"""Helpers for bare KEGG compound identifiers (``C#####``) in species annotations. + +Some curated models annotate species with KEGG compound IDs instead of ChEBI. +Downstream code historically assumed ``annotation`` was always ChEBI; these +helpers detect when a string is already a KEGG compound id so it can be passed +through without ChEBI→KEGG table lookup or ontology walking. +""" + +from __future__ import annotations + +import re +from typing import Optional + +# KEGG compound ids are conventionally ``C`` + five digits (e.g. ``C00002``). +_KEGG_COMPOUND_ID_RE = re.compile(r"^C\d{5}$", re.IGNORECASE) + + +def parse_kegg_compound_id(annotation: object) -> Optional[str]: + """Return canonical ``C#####`` if ``annotation`` is a plain KEGG compound id. + + Accepts strings like ``c00002`` or ``C00002``. Returns ``None`` for ChEBI + terms, free text, or empty values. + """ + if annotation is None: + return None + s = str(annotation).strip() + if not s: + return None + if _KEGG_COMPOUND_ID_RE.fullmatch(s): + return s.upper() + return None diff --git a/core/reaction/kegg_features.py b/core/reaction/kegg_features.py index df994bf..d9cfe15 100644 --- a/core/reaction/kegg_features.py +++ b/core/reaction/kegg_features.py @@ -7,7 +7,7 @@ import pickle import re from pathlib import Path -from typing import Dict +from typing import Dict, FrozenSet, List, Tuple from utils.constants import REF_KEGG_REACTION_FEATURES @@ -15,6 +15,18 @@ logger = logging.getLogger(__name__) +# A KEGG reaction id like ``R01600``. +_R_NUMBER_RE = re.compile(r"\bR\d{5}\b") + +# BRITE section header marker. Examples we've seen in the data: +# ``Enzymatic reactions [BR:br08201]`` +# ``IUBMB reaction hierarchy [BR:br08202]`` +# ``Overall reaction [br08210.html]`` +_BRITE_SECTION_RE = re.compile(r"\[(?:BR:)?br\d+(?:\.html)?\]", re.IGNORECASE) + +# IUBMB-block tag we care about for hierarchical grouping. +_IUBMB_TAG = "br08202" + def _normalize_kegg_reaction_id(annotation) -> str: """Resolve KEGG reaction id (R#####) from table/URI values like ``KEGG:R01600``.""" @@ -85,6 +97,99 @@ def get_definition(self, annotation: str) -> str: self._cache[key] = result return result + def get_iubmb_chains(self, annotation: str) -> Tuple[Tuple[str, ...], ...]: + """Per-EC ancestor chains for a reaction from its IUBMB BRITE hierarchy. + + Parses the ``IUBMB reaction hierarchy [BR:br08202]`` block of the + reaction's BRITE field. Within that block KEGG groups R-numbers by EC + sub-section (e.g. ``2.7.1.1`` followed by an ordered list of R-numbers + that walks the IUBMB tree from root to self). + + Returns a tuple of chains; each chain is an ordered tuple of bare + KEGG reaction ids. The same reaction may appear in multiple chains + (one per EC under which it's classified). Reactions without a + ``br08202`` block return an empty tuple. + + Examples (against KEGG snapshot bundled in ``data/kegg/``):: + + R02848 -> ((R02848,),) + R00299 -> ((R02848, R00299), (R00299,)) + R01786 -> ((R02848, R01786), (R00299, R01786)) + R01068 -> ((R01068,),) + R01070 -> ((R01068, R01070),) + R10049 -> () + """ + key = ("iubmb_chains", annotation) + cached = self._cache.get(key) + if cached is not None: + return cached + + kegg_id = _normalize_kegg_reaction_id(annotation) + if not kegg_id: + self._cache[key] = () + return () + + brite = (self._features.get(kegg_id, {}) or {}).get("BRITE", "") or "" + if not brite: + self._cache[key] = () + return () + + in_iubmb = False + chains: List[Tuple[str, ...]] = [] + current: List[str] = [] + + def _flush() -> None: + if current: + chains.append(tuple(current)) + current.clear() + + for raw_line in str(brite).splitlines(): + line = raw_line.strip() + if _BRITE_SECTION_RE.search(raw_line): + # Entering a new section ends the current chain regardless of + # whether we're leaving or staying inside br08202. + _flush() + in_iubmb = _IUBMB_TAG in raw_line.lower() + continue + if not in_iubmb or not line: + continue + # EC / hierarchy headers like "4.1.2.13" or "2. Transferase reactions" + # delimit chains within the IUBMB block. + if line[0].isdigit(): + _flush() + continue + r_ids = _R_NUMBER_RE.findall(raw_line) + if r_ids: + # Each KEGG line lists at most one R-number; take the first. + current.append(r_ids[0]) + + _flush() + result: Tuple[Tuple[str, ...], ...] = tuple(chains) + self._cache[key] = result + return result + + def get_iubmb_ancestors(self, annotation: str) -> FrozenSet[str]: + """Set of R-numbers above this reaction in its IUBMB BRITE hierarchy. + + Equal to the union of every chain returned by + :meth:`get_iubmb_chains` minus the reaction's own id. + """ + key = ("iubmb_ancestors", annotation) + cached = self._cache.get(key) + if cached is not None: + return cached + kegg_id = _normalize_kegg_reaction_id(annotation) + if not kegg_id: + self._cache[key] = frozenset() + return frozenset() + ancestors: set = set() + for chain in self.get_iubmb_chains(annotation): + ancestors.update(chain) + ancestors.discard(kegg_id) + result = frozenset(ancestors) + self._cache[key] = result + return result + @classmethod def load_from_file(cls, data_path: str) -> "KEGGReactionFeatures": # Allow callers to pass a bare filename (historical default). If the file diff --git a/core/reaction/matching.py b/core/reaction/matching.py index cc77294..ba4e054 100644 --- a/core/reaction/matching.py +++ b/core/reaction/matching.py @@ -221,8 +221,15 @@ def map_metabolites_to_kegg( 'candidates': choices } except (KeyError, IndexError): + # Keep unmapped metabolites so downstream logic can: + # - preserve stoichiometry (coeff) + # - perform ChEBI-based recovery/relaxation to find candidates later logger.debug(f"No KEGG mapping found for metabolite: {met}") - continue + id_choices[met] = { + "species_id": met, + "coeff": coeff, + "candidates": [], + } if not id_choices: return [] diff --git a/core/reaction/relaxation_workflow.py b/core/reaction/relaxation_workflow.py index 8026e2e..49df594 100644 --- a/core/reaction/relaxation_workflow.py +++ b/core/reaction/relaxation_workflow.py @@ -49,7 +49,6 @@ def _per_reaction_best_scores(match_results: List[Any]) -> Dict[str, Optional[fl best_by_rxn: Dict[str, float] = {} classification_by_rxn: Dict[str, str] = {} ambiguous_default_by_rxn: Dict[str, float] = {} - failed_default_by_rxn: Dict[str, float] = {} for rec in match_results: rid = rec.id meta = getattr(rec, "metadata", None) or {} @@ -57,8 +56,6 @@ def _per_reaction_best_scores(match_results: List[Any]) -> Dict[str, Optional[fl classification_by_rxn[rid] = rtype if rtype == "ambiguous_mapping": ambiguous_default_by_rxn[rid] = float(meta.get("ambiguous_default_score", 0.0)) - if rtype == "failed_mapping": - failed_default_by_rxn[rid] = float(meta.get("failed_default_score", 0.0)) if rtype != "mappable": continue if not rec.match_score: @@ -76,9 +73,6 @@ def _per_reaction_best_scores(match_results: List[Any]) -> Dict[str, Optional[fl if rtype == "ambiguous_mapping": out[rid] = float(ambiguous_default_by_rxn.get(rid, 0.0)) continue - if rtype == "failed_mapping": - out[rid] = float(failed_default_by_rxn.get(rid, 0.0)) - continue if rid in best_by_rxn: out[rid] = float(best_by_rxn[rid]) return out @@ -386,6 +380,8 @@ def map_reactions_to_kegg_with_relaxation( top_k: Optional[int] = None, penalty_lam: float = 0.1, run_matching: bool = True, + evaluate_candidates: bool = True, + include_exchange_reactions: bool = False, ) -> Tuple[List[Dict[str, Any]], List[Any], Dict[str, int]]: """ Single iterative loop: normalize -> penalized KEGG matching -> relax targets -> converge. @@ -422,6 +418,13 @@ def map_reactions_to_kegg_with_relaxation( score per reaction changes by less than this vs the previous iteration. run_matching: If False, performs a single mapping pass and returns an empty match list (no refinement). + evaluate_candidates: If False, run only candidate generation/filtering in + ``_get_kegg_recommendations_rulebased`` (no similarity scoring / objective + ranking). This disables relaxation iterations; the function returns after + one normalized mapping pass. + include_exchange_reactions: If True, attempt candidate generation for exchange + reactions (empty LHS or RHS). If False, exchange reactions are retained but + returned with no candidates. Returns: (normalized_reactions, kegg_match_results, species_relax_level_by_id) @@ -491,6 +494,8 @@ def compute_global_score(levels: Mapping[str, int]) -> float: cofactors_to_ignore=cofactors, top_k=top_k, spectators=spectators, + evaluate_candidates=True, + include_exchange_reactions=include_exchange_reactions, relaxation_levels_by_entity=levels, penalty_lam=penalty_lam, max_relax_level=max_relax_level, @@ -567,12 +572,14 @@ def compute_global_score(levels: Mapping[str, int]) -> float: match_results = [] break - # --- Step 2: KEGG matching (raw similarity inside matcher; ranking = penalized only) --- + # --- Step 2: KEGG matching --- match_results = _get_kegg_recommendations_rulebased( normalized_reactions, cofactors_to_ignore=cofactors, top_k=top_k, spectators=spectators, + evaluate_candidates=evaluate_candidates, + include_exchange_reactions=include_exchange_reactions, relaxation_levels_by_entity=relax_level, penalty_lam=penalty_lam, max_relax_level=max_relax_level, @@ -583,6 +590,9 @@ def compute_global_score(levels: Mapping[str, int]) -> float: max_ancestor_depth=max_ancestor_depth, max_descendant_depth=down_depth, ) + if not evaluate_candidates: + # Generation-only mode: do not score, do not relax, return after first pass. + break score = _aggregate_best_penalized_scores(match_results) coverage = _reaction_coverage_stats(match_results) logger.info(f"Reaction coverage: {coverage}") diff --git a/core/reaction/utils.py b/core/reaction/utils.py index e0f736b..e27c187 100644 --- a/core/reaction/utils.py +++ b/core/reaction/utils.py @@ -13,6 +13,7 @@ chebi_best_kegg_ids_with_ontology_fallback, load_chebi_parent_map, ) +from .kegg_compound_ids import parse_kegg_compound_id from .kegg_definition import extract_classifications logger = logging.getLogger(__name__) @@ -21,7 +22,7 @@ def check_environment(model_file: str) -> bool: """Check if the environment is properly configured.""" available_dbs = get_available_databases() - # logger.info(f"Available databases: {available_dbs}") + logger.info(f"Available databases: {available_dbs}") all_ok = True @@ -55,10 +56,11 @@ def map_chebi_to_kegg( max_descendant_depth: int = 1, ) -> Tuple[pd.DataFrame, pd.DataFrame]: """ - Map ChEBI IDs in recommendation rows to KEGG compound IDs via - ``load_chebi2kegg_dict`` with an ontology walk fallback when no direct - KEGG mapping exists for a given ChEBI term. - + Map species ``annotation`` values to KEGG compound IDs via + ``load_chebi2kegg_dict`` when those values are ChEBI terms, or treat bare + KEGG compound ids (``C#####``) as identity mappings when species were + annotated with KEGG compounds instead of ChEBI. + Duplicate rows are emitted when one ChEBI maps to multiple KEGG compounds. For reaction matching with optional upward relaxation along ChEBI ``is_a``, use ``hierarchy_relaxation.normalize_chebi`` / ``normalize_reaction`` instead. @@ -111,6 +113,14 @@ def _kegg_ids_for_chebi(seed_chebi_id: str) -> List[str]: if not recommendations_df.empty and 'annotation' in recommendations_df.columns: for _, row in recommendations_df.iterrows(): chebi_id = row['annotation'] + + direct_kegg = parse_kegg_compound_id(chebi_id) + if direct_kegg: + row_copy = row.copy() + row_copy["KEGG_ID"] = direct_kegg + expanded_rows.append(row_copy) + continue + kegg_ids = _kegg_ids_for_chebi(chebi_id) if not kegg_ids: @@ -133,14 +143,16 @@ def _kegg_ids_for_chebi(seed_chebi_id: str) -> List[str]: if expanded_df.empty: recommendations_df['KEGG_ID'] = "" - return recommendations_df, pd.DataFrame() + empty_cols = list(recommendations_df.columns) + return recommendations_df, pd.DataFrame(columns=empty_cols) combined_df = pd.concat([recommendations_df, expanded_df]).drop_duplicates( subset=dedup_cols ) else: recommendations_df['KEGG_ID'] = "" - return recommendations_df, pd.DataFrame() + empty_cols = list(recommendations_df.columns) + return recommendations_df, pd.DataFrame(columns=empty_cols) filtered_df = combined_df[ combined_df['KEGG_ID'].notna() & @@ -152,7 +164,7 @@ def _kegg_ids_for_chebi(seed_chebi_id: str) -> List[str]: filtered_df['match_score'] == filtered_df.groupby('id')['match_score'].transform('max') ].reset_index(drop=True) else: - high_score_recommendations = pd.DataFrame() + high_score_recommendations = pd.DataFrame(columns=list(combined_df.columns)) logger.info(f"Expanded {len(recommendations_df)} ChEBI entries to {len(expanded_df)} KEGG mappings") logger.info(f"Found {len(filtered_df)} valid KEGG mappings") diff --git a/tests/analyze_reaction_complexity_from_eval.py b/tests/analyze_reaction_complexity_from_eval.py new file mode 100644 index 0000000..1d942a3 --- /dev/null +++ b/tests/analyze_reaction_complexity_from_eval.py @@ -0,0 +1,309 @@ +#!/usr/bin/env python3 +"""Join evaluation CSV rows with SBML reaction complexity (substrate/product counts). + +Reads ``per_reaction_results.csv`` from a reaction-evaluation run (e.g. +``tests/reaction_evaluation_results/curated_species/``), loads each +``model_id`` SBML from ``tests/BioModels_251106`` (or ``--models-dir``), and +adds per-reaction counts from libSBML: + +- ``n_reactant_species``: distinct species on the left (reactants) +- ``n_product_species``: distinct species on the right (products) +- ``n_unique_metabolites``: distinct species across both sides + +Also writes ``complexity_impact_summary.csv`` with aggregate ``found`` / +``top1`` / ``top3`` / ``top5`` rates per complexity bin (unique metabolite +counts: ``1``, ``2``, ``3``, ``4``, ``5+``). + +**CLI** + +:: + + python tests/analyze_reaction_complexity_from_eval.py \\ + --per-reaction-csv tests/reaction_evaluation_results/curated_species/Llama-3.3-70B-Instruct-20260430_120414/per_reaction_results.csv + +**Notebook** + +:: + + from tests.analyze_reaction_complexity_from_eval import run_complexity_analysis + + result = run_complexity_analysis("path/to/per_reaction_results.csv") + display(result.per_reaction) + display(result.summary) +""" + +from __future__ import annotations + +import argparse +import sys +from pathlib import Path +from typing import Dict, NamedTuple, Optional, Tuple + +import pandas as pd + +REPO_ROOT = Path(__file__).resolve().parent.parent +if str(REPO_ROOT) not in sys.path: + sys.path.insert(0, str(REPO_ROOT)) + +import libsbml # noqa: E402 + +__all__ = [ + "COMPLEXITY_BIN_1", + "COMPLEXITY_BIN_2", + "COMPLEXITY_BIN_3", + "COMPLEXITY_BIN_4", + "COMPLEXITY_BIN_5_PLUS", + "COMPLEXITY_BIN_ORDER", + "ComplexityAnalysisResult", + "complexity_bin_label", + "reaction_complexity", + "run_complexity_analysis", +] + +# Bins for ``n_unique_metabolites`` (distinct species across reactants and products). +COMPLEXITY_BIN_1 = "1" +COMPLEXITY_BIN_2 = "2" +COMPLEXITY_BIN_3 = "3" +COMPLEXITY_BIN_4 = "4" +COMPLEXITY_BIN_5_PLUS = "5+" +COMPLEXITY_BIN_ORDER = ( + COMPLEXITY_BIN_1, + COMPLEXITY_BIN_2, + COMPLEXITY_BIN_3, + COMPLEXITY_BIN_4, + COMPLEXITY_BIN_5_PLUS, +) + + +def complexity_bin_label(n_unique: int) -> str: + if n_unique <= 1: + return COMPLEXITY_BIN_1 + if n_unique == 2: + return COMPLEXITY_BIN_2 + if n_unique == 3: + return COMPLEXITY_BIN_3 + if n_unique == 4: + return COMPLEXITY_BIN_4 + return COMPLEXITY_BIN_5_PLUS + + +def reaction_complexity( + model_path: Path, reaction_id: str +) -> Tuple[Optional[int], Optional[int], Optional[int]]: + """Return (n_reactants, n_products, n_unique) or (None, None, None) if unavailable.""" + reader = libsbml.SBMLReader() + doc = reader.readSBML(str(model_path)) + model = doc.getModel() + if model is None: + return None, None, None + rxn = model.getReaction(reaction_id) + if rxn is None: + return None, None, None + lhs: set[str] = set() + for i in range(rxn.getNumReactants()): + sp = rxn.getReactant(i).getSpecies() + if sp: + lhs.add(sp) + rhs: set[str] = set() + for i in range(rxn.getNumProducts()): + sp = rxn.getProduct(i).getSpecies() + if sp: + rhs.add(sp) + uniq = lhs | rhs + return len(lhs), len(rhs), len(uniq) + + +def _resolve_path(p: Path | str, *, default_relative_to: Path) -> Path: + path = Path(p) + if not path.is_absolute(): + path = default_relative_to / path + return path + + +class ComplexityAnalysisResult(NamedTuple): + """Return value of :func:`run_complexity_analysis`.""" + + per_reaction: pd.DataFrame + summary: Optional[pd.DataFrame] + merged_csv_path: Optional[Path] + summary_csv_path: Optional[Path] + missing_models: tuple[str, ...] + + +def run_complexity_analysis( + per_reaction_csv: Path | str, + *, + models_dir: Path | str | None = None, + output_dir: Path | str | None = None, + write_csv: bool = True, + quiet: bool = False, +) -> ComplexityAnalysisResult: + """Load eval CSV, attach SBML complexity columns, optionally aggregate and write CSVs. + + Parameters + ---------- + per_reaction_csv + Path to ``per_reaction_results.csv`` (relative paths are under ``REPO_ROOT``). + models_dir + Directory of ``.xml``. Default: ``tests/BioModels_251106`` under repo root. + output_dir + Where to write outputs. Default: directory of ``per_reaction_csv``. + write_csv + If True, writes ``per_reaction_with_complexity.csv`` and + ``complexity_impact_summary.csv`` when applicable. + quiet + If False, print paths and summary table (CLI-style). + + Returns + ------- + ComplexityAnalysisResult + DataFrames always populated for ``per_reaction``; ``summary`` is None if no + rows had parsable complexity. ``*_csv_path`` fields are set only when + ``write_csv`` is True and that file was written. + """ + per_path = _resolve_path(per_reaction_csv, default_relative_to=REPO_ROOT) + if not per_path.exists(): + raise FileNotFoundError(f"Missing per-reaction CSV: {per_path}") + + mdir = models_dir if models_dir is not None else REPO_ROOT / "tests" / "BioModels_251106" + models_path = _resolve_path(mdir, default_relative_to=REPO_ROOT) + + out: Path + if output_dir is None: + out = per_path.parent + else: + out = _resolve_path(output_dir, default_relative_to=REPO_ROOT) + out.mkdir(parents=True, exist_ok=True) + + df = pd.read_csv(per_path, encoding="utf-8-sig") + required = {"model_id", "reaction_id"} + if not required.issubset(df.columns): + raise ValueError(f"CSV must contain columns {required}, got {list(df.columns)}") + + model_cache: Dict[str, Optional[Path]] = {} + complexity_cache: Dict[Tuple[str, str], Tuple[Optional[int], Optional[int], Optional[int]]] = {} + + def _model_path(mid: str) -> Optional[Path]: + if mid not in model_cache: + p = models_path / f"{mid}.xml" + model_cache[mid] = p if p.exists() else None + return model_cache[mid] + + def _cached_counts(mid: str, rid: str) -> Tuple[Optional[int], Optional[int], Optional[int]]: + key = (mid, rid) + if key not in complexity_cache: + mp = _model_path(mid) + if mp is None: + complexity_cache[key] = (None, None, None) + else: + complexity_cache[key] = reaction_complexity(mp, rid) + return complexity_cache[key] + + n_lhs: list[Optional[int]] = [] + n_rhs: list[Optional[int]] = [] + n_uni: list[Optional[int]] = [] + for _, row in df.iterrows(): + a, b, u = _cached_counts(str(row["model_id"]), str(row["reaction_id"])) + n_lhs.append(a) + n_rhs.append(b) + n_uni.append(u) + + merged = df.copy() + merged["n_reactant_species"] = n_lhs + merged["n_product_species"] = n_rhs + merged["n_unique_metabolites"] = n_uni + + merged_csv_path: Optional[Path] = None + if write_csv: + merged_csv_path = out / "per_reaction_with_complexity.csv" + merged.to_csv(merged_csv_path, index=False) + if not quiet: + print(f"Wrote {merged_csv_path}") + + work = merged[merged["n_unique_metabolites"].notna()].copy() + summary_df: Optional[pd.DataFrame] = None + summary_csv_path: Optional[Path] = None + + if not work.empty: + work = work.copy() + work["n_unique_metabolites"] = work["n_unique_metabolites"].astype(int) + work["complexity_bin"] = work["n_unique_metabolites"].map(complexity_bin_label) + summary_df = ( + work.groupby("complexity_bin", dropna=False) + .agg( + n_reactions=("reaction_id", "count"), + coverage=("found", "mean"), + top1=("top1", "mean"), + top3=("top3", "mean"), + top5=("top5", "mean"), + mean_candidates=("num_candidates", "mean"), + ) + .reset_index() + ) + summary_df["complexity_bin"] = pd.Categorical( + summary_df["complexity_bin"], + categories=list(COMPLEXITY_BIN_ORDER), + ordered=True, + ) + summary_df = summary_df.sort_values("complexity_bin").round(3) + if write_csv: + summary_csv_path = out / "complexity_impact_summary.csv" + summary_df.to_csv(summary_csv_path, index=False) + if not quiet: + print(f"Wrote {summary_csv_path}") + print(summary_df.to_string(index=False)) + elif not quiet: + print("No rows with parsable reaction complexity; skipped summary.") + + missing_models = tuple(sorted(m for m, p in model_cache.items() if p is None)) + if missing_models and not quiet: + print(f"Warning: {len(missing_models)} model_id(s) had no {models_path}/.xml") + + return ComplexityAnalysisResult( + per_reaction=merged, + summary=summary_df, + merged_csv_path=merged_csv_path, + summary_csv_path=summary_csv_path, + missing_models=missing_models, + ) + + +def main() -> int: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "--per-reaction-csv", + type=Path, + required=True, + help="Path to per_reaction_results.csv from an evaluation run.", + ) + parser.add_argument( + "--models-dir", + type=Path, + default=REPO_ROOT / "tests" / "BioModels_251106", + help="Directory containing .xml SBML files.", + ) + parser.add_argument( + "--output-dir", + type=Path, + default=None, + help="Directory for outputs (default: same folder as --per-reaction-csv).", + ) + args = parser.parse_args() + + try: + run_complexity_analysis( + args.per_reaction_csv, + models_dir=args.models_dir, + output_dir=args.output_dir, + write_csv=True, + quiet=False, + ) + except (FileNotFoundError, ValueError) as exc: + print(exc, file=sys.stderr) + return 1 + + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/tests/evaluate_reaction_annotation.py b/tests/evaluate_reaction_annotation.py new file mode 100644 index 0000000..62f0e85 --- /dev/null +++ b/tests/evaluate_reaction_annotation.py @@ -0,0 +1,826 @@ +#!/usr/bin/env python3 +"""Evaluate reaction annotation performance on curated BioModels. + +For every model listed in ``tests/kegg_annotated_files.txt`` this script: + +1. Extracts all ground-truth KEGG reaction IDs from the model (reactions + without a KEGG annotation are skipped). +2. Builds a species-annotation table (ChEBI preferred, KEGG-compound as a + fallback) in the ``pd.read_csv``-compatible shape expected by + ``annotate_model``. +3. Runs ``annotate_model(method="rulebased", entity_type="reaction", + database="kegg")`` to produce candidate KEGG reaction IDs per reaction, + then (unless ``--skip-llm-ranking``) calls + ``rank_kegg_annotations_with_llm`` so ``_recommendations_llm_ranked.csv`` + is written alongside the rule-based CSV under the run ``_work/`` folder. +4. Normalizes candidate ranks by KEGG-Orthology (BRITE) group — candidates + that share at least one K-number are collapsed to the best (lowest) rank + in their group. +5. Scores each reaction (found?, rank, top1/3/5) and writes per-reaction + results + aggregate summary under the run directory. +6. Records per-model wall time and ``wall_seconds / num_evaluated_reactions`` in + ``per_model_timing.csv`` (same run folder as ``per_reaction_results.csv``). + +Run: ``python tests/evaluate_reaction_annotation.py`` +(or ``conda run -n aaaim python tests/evaluate_reaction_annotation.py``). + +python tests/evaluate_reaction_annotation.py --skip-cofactor-removal +python tests/evaluate_reaction_annotation.py --skip-brite-normalization + + +""" + +from __future__ import annotations + +import argparse +import logging +import re +import sys +import time +from pathlib import Path +from typing import Dict, List, Optional, Set, Tuple + +from dotenv import load_dotenv +import pandas as pd + +# Make repo root importable when running from tests/. +REPO_ROOT = Path(__file__).resolve().parent.parent +if str(REPO_ROOT) not in sys.path: + sys.path.insert(0, str(REPO_ROOT)) + +# API keys (OPENAI_API_KEY, OPENROUTER_API_KEY, etc.) for LLM ranking. +load_dotenv(REPO_ROOT / ".env") + +from core import annotate_model # noqa: E402 +from core.database_search import load_kegg_reaction_features_dict # noqa: E402 +from core.reaction.amendment_config import CofactorConfig # noqa: E402 +from core.reaction.annotation_workflow import rank_kegg_annotations_with_llm # noqa: E402 +from core.model_info import ( # noqa: E402 + exchange_constraint_skipped_reaction_ids, + find_reactions_with_kegg_annotations, + find_species_with_annotations_and_qualifiers, + find_species_with_chebi_annotations, +) +from utils.constants import DatabaseID # noqa: E402 + + +# --------------------------------------------------------------------------- +# Configuration +# --------------------------------------------------------------------------- + +DEFAULT_MODEL_LIST = REPO_ROOT / "benchmark" / "manifest" / "model_paths.txt" +DEFAULT_RESULTS_DIR = ( + REPO_ROOT / "tests" / "reaction_evaluation_results" / "curated_species" +) + +# Rule-based generation-only is fast; set True for the slower scored/EM pipeline. +EVALUATE_CANDIDATES = False +INCLUDE_EXCHANGE_REACTIONS = False +# LLM_MODEL = "Llama-3.3-70B-Instruct" +# LLM_MODEL = "Llama-4-Maverick-17B-128E-Instruct-FP8" +LLM_MODEL = "gpt-5-mini-2025-08-07" +DEFAULT_LLM_TOP_K = 10 +# Default ``kegg_reaction_features.lzma`` is resolved under ``data/kegg/`` by the loader. +DEFAULT_KEGG_FEATURES_FILE = "kegg_reaction_features.lzma" + +_K_NUMBER_RE = re.compile(r"\bK\d{5,}\b") + +logging.basicConfig( + level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" +) +logger = logging.getLogger("evaluate_reaction_annotation") + + +# --------------------------------------------------------------------------- +# 1. Load model list +# --------------------------------------------------------------------------- + +def load_model_paths(list_file: Path) -> List[Path]: + """Read non-blank, non-comment lines from the model-list file.""" + with list_file.open("r", encoding="utf-8") as fh: + paths: List[Path] = [] + for raw in fh: + line = raw.strip() + if not line or line.startswith("#"): + continue + p = Path(line) + if not p.is_absolute(): + p = REPO_ROOT / p + paths.append(p) + return paths + + +# --------------------------------------------------------------------------- +# 2. Ground-truth reaction annotations +# --------------------------------------------------------------------------- + +def extract_ground_truth_reactions(model_file: Path) -> Dict[str, List[str]]: + """Return ``{reaction_id: [kegg_reaction_ids]}`` (drops reactions w/o KEGG).""" + existing, _ = find_reactions_with_kegg_annotations(str(model_file)) + out: Dict[str, List[str]] = {} + for rxn_id, kegg_ids in existing.items(): + ids = [str(kid).strip() for kid in kegg_ids if str(kid).strip()] + if ids: + out[str(rxn_id)] = ids + return out + + +# --------------------------------------------------------------------------- +# 3. Species annotations -> annotate_model-compatible DataFrame +# --------------------------------------------------------------------------- + +def build_species_recommendations_df(model_file: Path) -> Tuple[Optional[pd.DataFrame], str]: + """Build the species->annotation table expected by the rulebased workflow. + + Per **species**, if ChEBI annotations exist they are used; otherwise KEGG + compound IDs are used for that species. A model may therefore mix rows + where some metabolites came from ChEBI and others from bare KEGG compounds. + + The rule-based pipeline maps ChEBI→KEGG via reference tables and treats bare + KEGG compound ids (``C#####``) as identity mappings (see + :func:`core.reaction.utils.map_chebi_to_kegg` and + :mod:`core.reaction.kegg_compound_ids`). + + Returns ``(df, source)`` where ``source`` is ``"chebi"`` (all rows from + ChEBI), ``"kegg_compound"`` (all from KEGG compounds), ``"mixed"`` + (both conventions appear), or ``"none"``. A ``None`` DataFrame means no + species had usable annotations. + + The returned DataFrame has columns ``id, annotation, match_score`` and + round-trips through ``pd.read_csv`` cleanly. + """ + chebi = find_species_with_chebi_annotations(str(model_file)) + kegg, _ = find_species_with_annotations_and_qualifiers( + str(model_file), DatabaseID.KEGG.value + ) + + rows: List[Dict[str, object]] = [] + + all_ids = sorted(set(chebi.keys()) | set(kegg.keys())) + for sid in all_ids: + sid_str = str(sid) + ch_list = chebi.get(sid) if chebi else None + if ch_list: + for cid in ch_list: + if str(cid).strip(): + rows.append( + { + "id": sid_str, + "annotation": f"CHEBI:{str(cid).split(':', 1)[-1]}", + "match_score": 1.0, + } + ) + continue + + kg_list = kegg.get(sid) if kegg else None + if kg_list: + for kid in kg_list: + ks = str(kid).strip() + if ks: + rows.append( + {"id": sid_str, "annotation": ks, "match_score": 1.0} + ) + + if not rows: + return None, "none" + + species_with_chebi = {s for s in all_ids if chebi and chebi.get(s)} + species_kegg_only = { + s for s in all_ids if (not (chebi and chebi.get(s))) and kegg and kegg.get(s) + } + if species_with_chebi and species_kegg_only: + source = "mixed" + elif species_kegg_only and not species_with_chebi: + source = "kegg_compound" + else: + source = "chebi" + + return pd.DataFrame(rows), source + + +# --------------------------------------------------------------------------- +# 4. Annotation pipeline +# --------------------------------------------------------------------------- + +def run_annotation( + model_file: Path, + species_df: pd.DataFrame, + work_dir: Path, + *, + rank_with_llm: bool = True, + disable_cofactors: bool = False, + disable_ontology_relaxation: bool = False, + llm_model: str = LLM_MODEL, + llm_top_k: int = DEFAULT_LLM_TOP_K, + kegg_features_file: Optional[str] = None, +) -> pd.DataFrame: + """Run ``annotate_model``, optionally LLM-re-rank candidates, return recommendations. + + ``annotate_model`` writes ``_recommendations.csv`` under + ``work_dir`` (cwd is switched there during the call). + + When ``rank_with_llm`` is True, ``rank_kegg_annotations_with_llm`` reads that + CSV (enriched with definitions), queries the LLM per reaction, and writes + ``_llm_ranked.csv`` next to it — evaluation uses the ranked table. + + When ``disable_cofactors`` is True, an empty ``CofactorConfig`` is passed so + H2O, ATP, NAD+, etc. are **not** excluded from reaction matching. + + When ``disable_ontology_relaxation`` is True, ChEBI ancestor traversal is + skipped entirely (``max_relax_level=0``). + """ + species_csv = work_dir / f"{model_file.stem}__species.csv" + species_df.to_csv(species_csv, index=False) + + # Round-trip through read_csv to satisfy the CSV-compatible contract. + # utf-8-sig strips a UTF-8 BOM so the first column stays ``id``, not ``\ufeffid``. + reloaded = pd.read_csv(species_csv, encoding="utf-8-sig") + + recommendations_csv = work_dir / f"{model_file.name}_recommendations.csv" + + cofactor_cfg = CofactorConfig(cofactors_dict={}) if disable_cofactors else None + + cwd = Path.cwd() + try: + import os + + os.chdir(work_dir) + result = annotate_model( + model_file=str(model_file), + llm_model=llm_model, + method="rulebased", + entity_type="reaction", + database="kegg", + species_recommendations_df=reloaded, + evaluate_candidates=EVALUATE_CANDIDATES, + include_exchange_reactions=INCLUDE_EXCHANGE_REACTIONS, + cofactor_config=cofactor_cfg, + disable_ontology_relaxation=disable_ontology_relaxation, + ) + finally: + import os + + os.chdir(cwd) + + # ``result`` supports ``df, metrics = result`` unpacking. + df, _metrics = result + if df is None or df.empty: + return pd.DataFrame(columns=["id", "annotation"]) + + kff = kegg_features_file or DEFAULT_KEGG_FEATURES_FILE + + if rank_with_llm: + try: + df = rank_kegg_annotations_with_llm( + model_file=str(model_file), + recommendations_df=df, + llm_model=llm_model, + kegg_features_file=kff, + top_k=llm_top_k, + csv_path=str(recommendations_csv), + ) + ranked_path = recommendations_csv.with_name( + recommendations_csv.stem + "_llm_ranked.csv" + ) + logger.info("LLM-ranked table: %s", ranked_path) + except Exception as exc: + logger.warning( + "LLM ranking failed (%s); evaluating with rule-based candidate order.", + exc, + ) + + return df + + +# --------------------------------------------------------------------------- +# 5. Rank normalization by BRITE / KEGG-Orthology groups +# --------------------------------------------------------------------------- + +def _strip_kegg_prefix(raw: object) -> str: + """Normalize candidate values like ``"KEGG:R00024"`` -> ``"R00024"``.""" + if raw is None or (isinstance(raw, float) and pd.isna(raw)): + return "" + s = str(raw).strip() + if not s or s.lower() == "nan": + return "" + if s.upper().startswith("KEGG:"): + s = s[5:].strip() + return s + + +def _k_numbers_for(kegg_id: str, features: Dict[str, Dict]) -> Set[str]: + """KEGG Orthology K-numbers for a reaction, parsed from the ORTHOLOGY field.""" + feat = features.get(kegg_id) + if not feat: + return set() + orth = str(feat.get("ORTHOLOGY", "") or "") + return set(_K_NUMBER_RE.findall(orth)) + + +def normalize_ranks_by_brite( + ordered_candidates: List[str], features: Dict[str, Dict] +) -> Dict[str, int]: + """Assign each candidate a rank, then collapse candidates sharing any KEGG + Orthology K-number into one group and give every member the group's best + (lowest) rank. Candidates without any K-numbers keep their own rank. + """ + # Deduplicate while preserving first-seen order (best rank wins). + seen: Dict[str, int] = {} + for idx, cand in enumerate(ordered_candidates, start=1): + if cand and cand not in seen: + seen[cand] = idx + ranks: Dict[str, int] = dict(seen) + if not ranks: + return ranks + + # Union-find over candidates that share any K-number. + parent: Dict[str, str] = {c: c for c in ranks} + + def find(x: str) -> str: + while parent[x] != x: + parent[x] = parent[parent[x]] + x = parent[x] + return x + + def union(a: str, b: str) -> None: + ra, rb = find(a), find(b) + if ra != rb: + # Keep the one with the better (lower) rank as root. + if ranks[ra] <= ranks[rb]: + parent[rb] = ra + else: + parent[ra] = rb + + k_to_candidates: Dict[str, List[str]] = {} + for cand in ranks: + for k in _k_numbers_for(cand, features): + k_to_candidates.setdefault(k, []).append(cand) + for cands in k_to_candidates.values(): + for other in cands[1:]: + union(cands[0], other) + + # Collapse to root rank. + return {c: ranks[find(c)] for c in ranks} + + +def build_normalized_rank_rows( + model_id: str, + reaction_id: str, + ordered_candidates: List[str], + features: Dict[str, Dict], +) -> List[Dict[str, object]]: + """Per-candidate raw vs BRITE-normalized ranks for one reaction.""" + normalized = normalize_ranks_by_brite(ordered_candidates, features) + # normalized only includes first-seen candidates (deduped). + rows: List[Dict[str, object]] = [] + for cand, norm_rank in normalized.items(): + # raw rank is the first-seen rank in ordered_candidates (1-indexed) + raw_rank = None + for i, c in enumerate(ordered_candidates, start=1): + if c == cand: + raw_rank = i + break + k_numbers = sorted(_k_numbers_for(cand, features)) + rows.append( + { + "model_id": model_id, + "reaction_id": reaction_id, + "candidate_kegg": cand, + "raw_rank": int(raw_rank) if raw_rank is not None else None, + "normalized_rank": int(norm_rank), + "k_numbers": ";".join(k_numbers), + } + ) + # Stable output ordering by raw rank then candidate id. + rows.sort(key=lambda r: ((r.get("raw_rank") or 10**9), str(r.get("candidate_kegg") or ""))) + return rows + + +# --------------------------------------------------------------------------- +# 6. Per-reaction scoring +# --------------------------------------------------------------------------- + +def evaluate_model( + model_file: Path, + ground_truth: Dict[str, List[str]], + recommendations_df: pd.DataFrame, + features: Dict[str, Dict], + species_source: str, + ssx_reaction_ids: Optional[Set[str]] = None, + *, + normalize_brite: bool = True, +) -> Tuple[List[Dict], List[Dict]]: + """Produce one evaluation row per ground-truth reaction. + + ``species_source == "none"`` means the model had no usable species + annotations, so every reaction is scored as a mapping failure (no + candidates). Otherwise reactions missing from ``recommendations_df`` are + counted as having zero candidates. + + ``failure_reason`` when ``found`` is False (empty when ``found`` is True): + + - ``no_species_annotations`` — no usable species annotations for the model. + - ``SSX`` — source/sink/exchange-style stoichiometry (empty LHS or RHS) while + ``INCLUDE_EXCHANGE_REACTIONS`` is False; no rule-based candidates and not + sent to the LLM ranker, same as the annotation pipeline. + - ``no_candidates`` — zero candidates for other reasons (e.g. no KEGG match). + - ``""`` — candidates existed but the ground-truth KEGG id was not among them + (aggregate reporting labels these as ``not_in_candidates``). + + When ``normalize_brite`` is False, candidate ranks are used as-is (raw list + order) without collapsing KEGG-Orthology co-members into one group. + """ + model_id = model_file.stem + by_reaction: Dict[str, List[str]] = {} + has_brite_col = ( + not recommendations_df.empty + and "brite_group_members" in recommendations_df.columns + ) + if not recommendations_df.empty and {"id", "annotation"}.issubset(recommendations_df.columns): + for rxn_id, group in recommendations_df.groupby("id", sort=False): + cands: List[str] = [] + for _, row in group.iterrows(): + bare = _strip_kegg_prefix(row.get("annotation", "")) + if bare and bare not in cands: + cands.append(bare) + # Pre-LLM filtering shows the LLM only the BRITE-orthology + # representative; the file lists co-members in + # `brite_group_members`. Expand them here at the same rank slot + # so a ground-truth that is a non-representative member is still + # counted as found (normalize_ranks_by_brite below collapses + # them anyway, but this also handles candidates whose K-numbers + # are absent from the loaded features). + if has_brite_col: + raw = row.get("brite_group_members", "") + if isinstance(raw, str) and raw.strip(): + for m in raw.split(";"): + m = m.strip() + if m and m not in cands: + cands.append(m) + by_reaction[str(rxn_id)] = cands + + ssx_ids = ssx_reaction_ids or set() + + rows: List[Dict] = [] + rank_rows: List[Dict] = [] + for rxn_id, truth_ids in ground_truth.items(): + truth_set = {str(t).strip() for t in truth_ids if str(t).strip()} + primary_truth = next(iter(truth_set), "") + cands = by_reaction.get(rxn_id, []) + num_candidates = len(cands) + + if species_source == "none": + failure_reason = "no_species_annotations" + elif num_candidates == 0 and rxn_id in ssx_ids: + failure_reason = "SSX" + elif num_candidates == 0: + failure_reason = "no_candidates" + else: + failure_reason = "" + + if num_candidates: + rank_rows.extend(build_normalized_rank_rows(model_id, rxn_id, cands, features)) + + matched_truth = next((t for t in truth_set if t in cands), None) + if num_candidates and matched_truth: + if normalize_brite: + normalized = normalize_ranks_by_brite(cands, features) + rank = normalized.get(matched_truth) + else: + rank = cands.index(matched_truth) + 1 + found = True + else: + rank = None + found = False + + rows.append( + { + "model_id": model_id, + "reaction_id": rxn_id, + "ground_truth_kegg": primary_truth, + "ground_truth_kegg_all": ";".join(sorted(truth_set)), + "found": bool(found), + "rank": int(rank) if rank is not None else None, + "top1": bool(found and rank == 1), + "top3": bool(found and rank is not None and rank <= 3), + "top5": bool(found and rank is not None and rank <= 5), + "num_candidates": num_candidates, + "species_source": species_source, + "failure_reason": failure_reason if not found else "", + } + ) + return rows, rank_rows + + +# --------------------------------------------------------------------------- +# 7. Aggregate reporting +# --------------------------------------------------------------------------- + +def summarize(per_reaction: pd.DataFrame) -> pd.DataFrame: + total = len(per_reaction) + if total == 0: + return pd.DataFrame( + [{"total_reactions": 0, "coverage": 0.0, "top1": 0.0, "top3": 0.0, "top5": 0.0}] + ) + return pd.DataFrame( + [ + { + "total_reactions": int(total), + "coverage": float(per_reaction["found"].mean()), + "top1": float(per_reaction["top1"].mean()), + "top3": float(per_reaction["top3"].mean()), + "top5": float(per_reaction["top5"].mean()), + } + ] + ) + + +# --------------------------------------------------------------------------- +# 8. Driver +# --------------------------------------------------------------------------- + +def process_model( + model_file: Path, + features: Dict[str, Dict], + work_dir: Path, + *, + rank_with_llm: bool = True, + disable_cofactors: bool = False, + disable_ontology_relaxation: bool = False, + normalize_brite: bool = True, + llm_top_k: int = DEFAULT_LLM_TOP_K, + kegg_features_file: Optional[str] = None, +) -> List[Dict]: + if not model_file.exists(): + logger.warning("Model not found, skipping: %s", model_file) + return [] + + logger.info("==> %s", model_file) + + ground_truth = extract_ground_truth_reactions(model_file) + if not ground_truth: + logger.info(" no KEGG reaction ground truth; skipping model") + return [] + logger.info(" %d ground-truth reactions", len(ground_truth)) + + ssx_ids: Set[str] = set() + if not INCLUDE_EXCHANGE_REACTIONS: + try: + ssx_ids = exchange_constraint_skipped_reaction_ids(str(model_file)) + except Exception as exc: # pragma: no cover — antimony / SBML edge cases + logger.warning(" could not classify SSX reactions: %s", exc) + + species_df, source = build_species_recommendations_df(model_file) + if species_df is None: + logger.warning(" no species annotations; all reactions -> mapping failure") + rxn_rows, rank_rows = evaluate_model( + model_file, ground_truth, pd.DataFrame(), features, "none", ssx_ids, + normalize_brite=normalize_brite, + ) + process_model._last_rank_rows = rank_rows # type: ignore[attr-defined] + return rxn_rows + logger.info(" species annotations: %d rows (source=%s)", len(species_df), source) + + try: + rec_df = run_annotation( + model_file, + species_df, + work_dir, + rank_with_llm=rank_with_llm, + disable_cofactors=disable_cofactors, + disable_ontology_relaxation=disable_ontology_relaxation, + llm_top_k=llm_top_k, + kegg_features_file=kegg_features_file, + ) + except Exception as exc: # pragma: no cover — pipeline failures surface here + logger.exception(" annotate_model failed: %s", exc) + rec_df = pd.DataFrame(columns=["id", "annotation"]) + + rxn_rows, rank_rows = evaluate_model( + model_file, ground_truth, rec_df, features, source, ssx_ids, + normalize_brite=normalize_brite, + ) + process_model._last_rank_rows = rank_rows # type: ignore[attr-defined] + return rxn_rows + + +def main() -> int: + wall_start = time.time() + parser = argparse.ArgumentParser(description=__doc__.splitlines()[0]) + parser.add_argument( + "--model-list", type=Path, default=DEFAULT_MODEL_LIST, + help="Text file listing model paths (default: tests/kegg_annotated_files.txt).", + ) + parser.add_argument( + "--results-dir", + type=Path, + default=DEFAULT_RESULTS_DIR, + help=( + "Base output directory. Each run writes into a new timestamped " + "subdirectory under this path." + ), + ) + parser.add_argument( + "--limit", type=int, default=None, + help="Process only the first N models (for smoke testing).", + ) + parser.add_argument( + "--run-id", + type=str, + default=None, + help=( + "Optional run identifier (subdirectory name). Defaults to a timestamp, " + "e.g. 20260421_134455." + ), + ) + parser.add_argument( + "--work-dir", + type=Path, + default=None, + help=( + "Optional scratch directory for intermediate CSVs. Defaults to " + "/_work." + ), + ) + parser.add_argument( + "--skip-llm-ranking", + action="store_true", + help=( + "Do not call rank_kegg_annotations_with_llm; evaluate using only the " + "rule-based _recommendations.csv order (faster, no LLM API)." + ), + ) + parser.add_argument( + "--skip-cofactor-removal", + action="store_true", + help=( + "Disable cofactor filtering during reaction matching (H2O, H+, ATP, " + "NAD+, etc. are included as regular participants). By default cofactors " + "are removed before candidate scoring." + ), + ) + parser.add_argument( + "--skip-brite-normalization", + action="store_true", + help=( + "Use raw candidate list order for scoring instead of collapsing " + "KEGG-Orthology co-members (BRITE groups) to their best shared rank." + ), + ) + parser.add_argument( + "--skip-ontology-relaxation", + action="store_true", + help=( + "Disable ChEBI ontology relaxation during reaction matching. Species " + "are matched only at their exact annotated ChEBI level; no ancestor " + "traversal is attempted." + ), + ) + parser.add_argument( + "--llm-top-k", + type=int, + default=DEFAULT_LLM_TOP_K, + help="Max KEGG reaction ids to keep per reaction from the LLM (default: 10).", + ) + parser.add_argument( + "--kegg-features-file", + type=str, + default=None, + help=( + "Path or filename for kegg_reaction_features.lzma (default: " + f"{DEFAULT_KEGG_FEATURES_FILE}, resolved under data/kegg/)." + ), + ) + args = parser.parse_args() + + def _safe_slug(s: str) -> str: + # Windows-safe-ish: avoid characters that break paths. + return ( + str(s) + .strip() + .replace(" ", "_") + .replace("/", "-") + .replace("\\", "-") + .replace(":", "-") + .replace("|", "-") + .replace("*", "-") + .replace("?", "") + .replace("\"", "") + .replace("<", "(") + .replace(">", ")") + ) + + model_paths = load_model_paths(args.model_list) + if args.limit is not None: + model_paths = model_paths[: args.limit] + logger.info("Evaluating %d models", len(model_paths)) + + rank_with_llm = not bool(args.skip_llm_ranking) + disable_cofactors = bool(args.skip_cofactor_removal) + disable_ontology_relaxation = bool(args.skip_ontology_relaxation) + normalize_brite = not bool(args.skip_brite_normalization) + + timestamp = time.strftime("%Y%m%d_%H%M%S") + _run_suffixes = ( + ("-no-cofactors" if disable_cofactors else "") + + ("-no-relaxation" if disable_ontology_relaxation else "") + + ("-no-brite" if not normalize_brite else "") + ) + run_id = args.run_id or f"{_safe_slug(LLM_MODEL)}-{timestamp}{_run_suffixes}" + run_dir = args.results_dir / run_id + run_dir.mkdir(parents=True, exist_ok=True) + + per_reaction_out = run_dir / "per_reaction_results.csv" + summary_out = run_dir / "results_summary.csv" + normalized_ranks_out = run_dir / "normalized_candidate_ranks.csv" + per_model_timing_out = run_dir / "per_model_timing.csv" + + work_dir = args.work_dir or (run_dir / "_work") + work_dir.mkdir(parents=True, exist_ok=True) + + logger.info("Run directory: %s", run_dir) + + logger.info("Loading KEGG reaction features (for BRITE/orthology grouping)...") + features = load_kegg_reaction_features_dict() + if not rank_with_llm: + logger.info("LLM re-ranking disabled (--skip-llm-ranking).") + if disable_cofactors: + logger.info("Cofactor removal disabled (--skip-cofactor-removal).") + if disable_ontology_relaxation: + logger.info("Ontology relaxation disabled (--skip-ontology-relaxation).") + if not normalize_brite: + logger.info("BRITE normalization disabled (--skip-brite-normalization).") + + all_rows: List[Dict] = [] + all_rank_rows: List[Dict] = [] + timing_rows: List[Dict[str, object]] = [] + for i, model_file in enumerate(model_paths, start=1): + t0 = time.time() + try: + rows = process_model( + model_file, + features, + work_dir, + rank_with_llm=rank_with_llm, + disable_cofactors=disable_cofactors, + disable_ontology_relaxation=disable_ontology_relaxation, + normalize_brite=normalize_brite, + llm_top_k=int(args.llm_top_k), + kegg_features_file=args.kegg_features_file, + ) + except Exception as exc: # pragma: no cover + logger.exception(" model %s failed: %s", model_file, exc) + rows = [] + elapsed = time.time() - t0 + n_eval = len(rows) + spd = (elapsed / n_eval) if n_eval else float("nan") + timing_rows.append( + { + "model_id": model_file.stem, + "model_path": str(model_file), + "wall_seconds": round(elapsed, 3), + "num_evaluated_reactions": int(n_eval), + "seconds_per_reaction": spd if n_eval else float("nan"), + } + ) + pd.DataFrame(timing_rows).to_csv(per_model_timing_out, index=False) + all_rows.extend(rows) + # Collected inside process_model via evaluate_model. + all_rank_rows.extend(getattr(process_model, "_last_rank_rows", []) or []) + # Incremental checkpoint so long runs don't lose progress. + pd.DataFrame(all_rows).to_csv(per_reaction_out, index=False) + spd_msg = f"{spd:.3f}s/rxn" if n_eval else "n/a" + logger.info( + " [%d/%d] %s -> %d rows (%.1fs, %s)", + i, len(model_paths), model_file.name, len(rows), elapsed, spd_msg, + ) + + per_reaction_df = pd.DataFrame(all_rows) + per_reaction_df.to_csv(per_reaction_out, index=False) + logger.info("Per-reaction results written to %s (%d rows)", + per_reaction_out, len(per_reaction_df)) + + timing_df = pd.DataFrame(timing_rows) + timing_df.to_csv(per_model_timing_out, index=False) + logger.info("Per-model timing written to %s (%d models)", per_model_timing_out, len(timing_df)) + + rank_df = pd.DataFrame(all_rank_rows) + rank_df.to_csv(normalized_ranks_out, index=False) + logger.info( + "Normalized candidate ranks written to %s (%d rows)", + normalized_ranks_out, + len(rank_df), + ) + + summary_df = summarize(per_reaction_df) + summary_df.to_csv(summary_out, index=False) + logger.info("Summary written to %s", summary_out) + + total_s = time.time() - wall_start + logger.info("Total runtime: %.1fs", total_s) + + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/tests/find_kegg_in_biomodels.py b/tests/find_kegg_in_biomodels.py new file mode 100644 index 0000000..254a050 --- /dev/null +++ b/tests/find_kegg_in_biomodels.py @@ -0,0 +1,64 @@ +from __future__ import annotations + +import argparse +from pathlib import Path + + +SEARCH_TERM = b"kegg.reaction" + + +def file_contains_kegg(path: Path) -> bool: + try: + # Read as bytes to avoid decode issues; search ASCII substring case-insensitively. + data = path.read_bytes() + except OSError: + return False + return SEARCH_TERM in data.lower() + + +def iter_files(root: Path): + for p in root.rglob("*"): + if p.is_file(): + yield p + + +def main() -> int: + parser = argparse.ArgumentParser( + description="Find files containing a search term (case-insensitive) under a directory." + ) + parser.add_argument( + "--root", + default="tests/BioModels_251106", + help="Directory to scan (default: tests/BioModels_251106)", + ) + parser.add_argument( + "--out", + default="kegg_files.txt", + help="Output file listing matches (default: kegg_files.txt)", + ) + args = parser.parse_args() + + root = Path(args.root) + if not root.exists() or not root.is_dir(): + raise SystemExit(f"Root directory not found or not a directory: {root}") + + matches: list[Path] = [] + for p in iter_files(root): + if file_contains_kegg(p): + matches.append(p) + + out_path = Path(args.out) + out_path.write_text( + "\n".join(str(p.as_posix()) for p in sorted(matches)) + ("\n" if matches else ""), + encoding="utf-8", + ) + + print(f"Scanned: {root}") + print(f"Matches: {len(matches)}") + print(f"Wrote: {out_path}") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) + diff --git a/tests/kegg_annotated_files.txt b/tests/kegg_annotated_files.txt new file mode 100644 index 0000000..7990eab --- /dev/null +++ b/tests/kegg_annotated_files.txt @@ -0,0 +1,75 @@ +tests/BioModels_251106/BIOMD0000000013.xml +tests/BioModels_251106/BIOMD0000000015.xml +tests/BioModels_251106/BIOMD0000000017.xml +tests/BioModels_251106/BIOMD0000000018.xml +tests/BioModels_251106/BIOMD0000000023.xml +tests/BioModels_251106/BIOMD0000000038.xml +tests/BioModels_251106/BIOMD0000000042.xml +tests/BioModels_251106/BIOMD0000000046.xml +tests/BioModels_251106/BIOMD0000000051.xml +tests/BioModels_251106/BIOMD0000000061.xml +tests/BioModels_251106/BIOMD0000000063.xml +tests/BioModels_251106/BIOMD0000000064.xml +tests/BioModels_251106/BIOMD0000000066.xml +tests/BioModels_251106/BIOMD0000000067.xml +tests/BioModels_251106/BIOMD0000000068.xml +tests/BioModels_251106/BIOMD0000000070.xml +tests/BioModels_251106/BIOMD0000000071.xml +tests/BioModels_251106/BIOMD0000000076.xml +tests/BioModels_251106/BIOMD0000000081.xml +tests/BioModels_251106/BIOMD0000000088.xml +tests/BioModels_251106/BIOMD0000000093.xml +tests/BioModels_251106/BIOMD0000000094.xml +tests/BioModels_251106/BIOMD0000000108.xml +tests/BioModels_251106/BIOMD0000000122.xml +tests/BioModels_251106/BIOMD0000000123.xml +tests/BioModels_251106/BIOMD0000000137.xml +tests/BioModels_251106/BIOMD0000000143.xml +tests/BioModels_251106/BIOMD0000000171.xml +tests/BioModels_251106/BIOMD0000000172.xml +tests/BioModels_251106/BIOMD0000000176.xml +tests/BioModels_251106/BIOMD0000000177.xml +tests/BioModels_251106/BIOMD0000000190.xml +tests/BioModels_251106/BIOMD0000000191.xml +tests/BioModels_251106/BIOMD0000000206.xml +tests/BioModels_251106/BIOMD0000000211.xml +tests/BioModels_251106/BIOMD0000000212.xml +tests/BioModels_251106/BIOMD0000000213.xml +tests/BioModels_251106/BIOMD0000000218.xml +tests/BioModels_251106/BIOMD0000000219.xml +tests/BioModels_251106/BIOMD0000000221.xml +tests/BioModels_251106/BIOMD0000000222.xml +tests/BioModels_251106/BIOMD0000000225.xml +tests/BioModels_251106/BIOMD0000000231.xml +tests/BioModels_251106/BIOMD0000000232.xml +tests/BioModels_251106/BIOMD0000000236.xml +tests/BioModels_251106/BIOMD0000000244.xml +tests/BioModels_251106/BIOMD0000000245.xml +tests/BioModels_251106/BIOMD0000000247.xml +tests/BioModels_251106/BIOMD0000000248.xml +tests/BioModels_251106/BIOMD0000000253.xml +tests/BioModels_251106/BIOMD0000000268.xml +tests/BioModels_251106/BIOMD0000000281.xml +tests/BioModels_251106/BIOMD0000000292.xml +tests/BioModels_251106/BIOMD0000000450.xml +tests/BioModels_251106/BIOMD0000000471.xml +tests/BioModels_251106/BIOMD0000000472.xml +tests/BioModels_251106/BIOMD0000000473.xml +tests/BioModels_251106/BIOMD0000000503.xml +tests/BioModels_251106/BIOMD0000000579.xml +tests/BioModels_251106/BIOMD0000000590.xml +tests/BioModels_251106/BIOMD0000000602.xml +tests/BioModels_251106/BIOMD0000000627.xml +tests/BioModels_251106/BIOMD0000000633.xml +tests/BioModels_251106/BIOMD0000000674.xml +tests/BioModels_251106/BIOMD0000000689.xml +tests/BioModels_251106/BIOMD0000000690.xml +tests/BioModels_251106/BIOMD0000000691.xml +tests/BioModels_251106/BIOMD0000000725.xml +tests/BioModels_251106/BIOMD0000001061.xml +tests/BioModels_251106/BIOMD0000001062.xml +tests/BioModels_251106/BIOMD0000001063.xml +tests/BioModels_251106/BIOMD0000001090.xml +tests/BioModels_251106/BIOMD0000001091.xml +tests/BioModels_251106/BIOMD0000001092.xml +tests/BioModels_251106/BIOMD0000001093.xml diff --git a/tests/test_benchmark_build.py b/tests/test_benchmark_build.py new file mode 100644 index 0000000..ba6291f --- /dev/null +++ b/tests/test_benchmark_build.py @@ -0,0 +1,593 @@ +"""Regression tests for the Phase-1 reaction-annotation benchmark builder. + +These lock down the behaviours that silently broke the historical evaluation: + +1. KEGG reaction URIs appear in both ``kegg.reaction:R00024`` (colon) and + ``kegg.reaction/R00024`` (slash) forms. Only matching one form yields zero + ground truth from real BioModels files. +2. A reaction may carry several valid KEGG identifiers; all must be preserved, + not just the first encountered. +3. Source/sink/exchange (SSX) reactions must be retained as records and marked + excluded, so reaction counts drop while model counts do not. +4. Repeated builds over unchanged inputs must produce byte-identical tables. + +Run with:: + + python -m pytest tests/test_benchmark_build.py -v +""" + +from __future__ import annotations + +import hashlib +import importlib.util +import json +import sys +from pathlib import Path +from typing import Dict, List, Optional + +import pytest + +REPO_ROOT = Path(__file__).resolve().parent.parent +if str(REPO_ROOT) not in sys.path: + sys.path.insert(0, str(REPO_ROOT)) + +from core.model_info import find_reactions_with_kegg_annotations # noqa: E402 + + +def _load_build_module(): + """Import the builder by path (``benchmark/`` is not a Python package).""" + script = REPO_ROOT / "benchmark" / "scripts" / "build_benchmark.py" + spec = importlib.util.spec_from_file_location("build_benchmark", script) + module = importlib.util.module_from_spec(spec) + assert spec.loader is not None + spec.loader.exec_module(module) + return module + + +build_benchmark = _load_build_module() + + +# --------------------------------------------------------------------------- +# Synthetic SBML construction +# --------------------------------------------------------------------------- + +def _rdf_annotation(meta_id: str, uris: List[str]) -> str: + lis = "\n".join(f'' for u in uris) + return f""" + + + + +{lis} + + + + +""" + + +def _reaction_xml( + rxn_id: str, + reactants: List[str], + products: List[str], + kegg_uris: List[str], +) -> str: + meta = f"meta_{rxn_id}" + ann = _rdf_annotation(meta, kegg_uris) if kegg_uris else "" + r_block = "".join( + f'' for s in reactants + ) + p_block = "".join( + f'' for s in products + ) + reactant_list = f"{r_block}" if reactants else "" + product_list = f"{p_block}" if products else "" + return f""" + {ann} + {reactant_list} + {product_list} + """ + + +def write_model( + path: Path, + reactions: List[Dict[str, object]], + species: Optional[List[str]] = None, + model_name: str = "SyntheticTestModel", +) -> Path: + """Write a minimal but valid SBML L2V4 model with the given reactions.""" + species = species or sorted( + { + s + for r in reactions + for s in list(r.get("reactants", [])) + list(r.get("products", [])) + } + ) + species_xml = "".join( + f'' for s in species + ) + reactions_xml = "\n".join( + _reaction_xml( + str(r["id"]), + list(r.get("reactants", [])), + list(r.get("products", [])), + list(r.get("kegg_uris", [])), + ) + for r in reactions + ) + sbml = f""" + + + + + + {species_xml} + +{reactions_xml} + + + +""" + path.write_text(sbml, encoding="utf-8") + return path + + +# --------------------------------------------------------------------------- +# 1. URI form regression +# --------------------------------------------------------------------------- + +@pytest.mark.parametrize( + "uri,expected", + [ + ("http://identifiers.org/kegg.reaction/R00024", "R00024"), + ("https://identifiers.org/kegg.reaction/R00024", "R00024"), + ("http://identifiers.org/kegg.reaction:R00024", "R00024"), + ("https://identifiers.org/kegg.reaction:R00024", "R00024"), + ("urn:miriam:kegg.reaction:R00024", "R00024"), + ], +) +def test_kegg_uri_forms_are_all_extracted(tmp_path, uri, expected): + """Slash, colon, and URN forms must all yield ground truth. + + BioModels overwhelmingly uses the slash form; a colon-only pattern silently + produced zero ground-truth reactions. + """ + model = write_model( + tmp_path / "m.xml", + [{"id": "R1", "reactants": ["A"], "products": ["B"], "kegg_uris": [uri]}], + ) + ground_truth, _ = find_reactions_with_kegg_annotations(str(model)) + assert "R1" in ground_truth, f"no ground truth extracted from URI form: {uri}" + assert ground_truth["R1"] == [expected] + + +def test_mixed_uri_forms_in_one_model(tmp_path): + model = write_model( + tmp_path / "m.xml", + [ + { + "id": "R_slash", + "reactants": ["A"], + "products": ["B"], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R00024"], + }, + { + "id": "R_colon", + "reactants": ["B"], + "products": ["C"], + "kegg_uris": ["http://identifiers.org/kegg.reaction:R01512"], + }, + ], + ) + ground_truth, _ = find_reactions_with_kegg_annotations(str(model)) + assert ground_truth == {"R_slash": ["R00024"], "R_colon": ["R01512"]} + + +# --------------------------------------------------------------------------- +# 2. Multiple ground-truth IDs +# --------------------------------------------------------------------------- + +def test_multiple_kegg_ids_on_one_reaction_are_all_preserved(tmp_path): + """All valid IDs are kept; the historical code kept only the first.""" + model = write_model( + tmp_path / "m.xml", + [ + { + "id": "R1", + "reactants": ["A"], + "products": ["B"], + "kegg_uris": [ + "http://identifiers.org/kegg.reaction/R00024", + "http://identifiers.org/kegg.reaction/R01512", + "http://identifiers.org/kegg.reaction/R01063", + ], + } + ], + ) + ground_truth, _ = find_reactions_with_kegg_annotations(str(model)) + assert sorted(ground_truth["R1"]) == ["R00024", "R01063", "R01512"] + + res = build_benchmark.process_model( + "SYN0001", model, {}, with_candidates=False, work_dir=tmp_path / "w" + ) + row = res.reaction_rows[0] + assert row["num_ground_truth_ids"] == 3 + assert row["ground_truth_kegg_all"] == "R00024;R01063;R01512" + assert row["ground_truth_kegg_primary"] == "R00024" + assert row["included_in_eval"] is True + + +def test_invalid_kegg_id_is_excluded_at_reaction_level(tmp_path): + """Malformed identifiers are excluded as data problems, with the raw value kept.""" + model = write_model( + tmp_path / "m.xml", + [ + { + "id": "R_bad", + "reactants": ["A"], + "products": ["B"], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R123456789"], + } + ], + ) + res = build_benchmark.process_model( + "SYN0002", model, {}, with_candidates=False, work_dir=tmp_path / "w" + ) + row = res.reaction_rows[0] + assert row["included_in_eval"] is False + assert row["exclusion_reason"] == "invalid_ground_truth_id" + assert "R123456789" in row["invalid_ground_truth_ids"] + + +# --------------------------------------------------------------------------- +# 3. SSX handling +# --------------------------------------------------------------------------- + +def test_ssx_reactions_retained_but_marked_excluded(tmp_path): + """SSX reactions stay as records; they reduce reaction counts, not model counts.""" + model = write_model( + tmp_path / "m.xml", + [ + { + "id": "R_normal", + "reactants": ["A"], + "products": ["B"], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R00024"], + }, + { + "id": "R_sink", + "reactants": ["B"], + "products": [], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R01512"], + }, + { + "id": "R_source", + "reactants": [], + "products": ["A"], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R01063"], + }, + ], + ) + res = build_benchmark.process_model( + "SYN0003", model, {}, with_candidates=False, work_dir=tmp_path / "w" + ) + + # The model itself is still included. + assert res.status == "included" + + by_id = {r["reaction_id"]: r for r in res.reaction_rows} + assert len(by_id) == 3, "SSX reactions must be retained as records, not dropped" + + assert by_id["R_normal"]["included_in_eval"] is True + assert by_id["R_normal"]["is_exchange_ssx"] is False + + for ssx_id in ("R_sink", "R_source"): + assert by_id[ssx_id]["is_exchange_ssx"] is True + assert by_id[ssx_id]["included_in_eval"] is False + assert by_id[ssx_id]["exclusion_reason"] == "exchange_ssx" + + assert res.summary["num_ground_truth_reactions"] == 3 + assert res.summary["num_eval_reactions"] == 1 + assert res.summary["num_ssx_excluded"] == 2 + + reasons = {(e["reaction_id"], e["reason"]) for e in res.exclusions} + assert ("R_sink", "exchange_ssx") in reasons + assert ("R_source", "exchange_ssx") in reasons + + +def test_model_with_only_ssx_reactions_stays_included(tmp_path): + """All-SSX models contribute zero evaluable reactions but are not dropped.""" + model = write_model( + tmp_path / "m.xml", + [ + { + "id": "R_sink", + "reactants": ["A"], + "products": [], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R00024"], + } + ], + ) + res = build_benchmark.process_model( + "SYN0004", model, {}, with_candidates=False, work_dir=tmp_path / "w" + ) + assert res.status == "included" + assert res.summary["num_eval_reactions"] == 0 + assert res.summary["zero_eval_reactions"] is True + + +# --------------------------------------------------------------------------- +# 4. Model-level exclusion vs pipeline failure +# --------------------------------------------------------------------------- + +def test_model_without_kegg_annotations_is_scientific_exclusion(tmp_path): + model = write_model( + tmp_path / "m.xml", + [{"id": "R1", "reactants": ["A"], "products": ["B"], "kegg_uris": []}], + ) + res = build_benchmark.process_model( + "SYN0005", model, {}, with_candidates=False, work_dir=tmp_path / "w" + ) + assert res.status == "excluded_no_ground_truth" + assert res.exclusions[0]["reason"] == "no_kegg_reaction_annotations" + assert not res.pipeline_failures + + +def test_missing_file_is_pipeline_failure_not_exclusion(tmp_path): + res = build_benchmark.process_model( + "SYN0006", + tmp_path / "does_not_exist.xml", + {}, + with_candidates=False, + work_dir=tmp_path / "w", + ) + assert res.status == "pipeline_failure" + assert res.pipeline_failures[0]["failure_type"] == "file_missing" + assert res.exclusions == [], "a missing download is not a scientific exclusion" + + +def test_unparseable_file_is_pipeline_failure(tmp_path): + bad = tmp_path / "bad.xml" + bad.write_text("this is not SBML at all", encoding="utf-8") + res = build_benchmark.process_model( + "SYN0007", bad, {}, with_candidates=False, work_dir=tmp_path / "w" + ) + assert res.status == "pipeline_failure" + assert res.pipeline_failures[0]["failure_type"] == "parse_error" + assert res.exclusions == [] + + +def test_parser_discrepancy_is_flagged(tmp_path): + """A raw kegg.reaction mention we cannot extract must be surfaced, not ignored.""" + model = write_model( + tmp_path / "m.xml", + [ + { + "id": "R1", + "reactants": ["A"], + "products": ["B"], + # Deliberately malformed URI: mentions kegg.reaction, no extractable ID. + "kegg_uris": ["http://identifiers.org/kegg.reaction/NOT_AN_ID"], + } + ], + ) + res = build_benchmark.process_model( + "SYN0008", model, {}, with_candidates=False, work_dir=tmp_path / "w" + ) + assert res.diagnostics is not None + assert res.diagnostics["reactions_with_raw_kegg_mention"] == 1 + assert res.diagnostics["reactions_with_extracted_kegg"] == 0 + assert res.diagnostics["parser_discrepancy"] is True + + +# --------------------------------------------------------------------------- +# 5. Determinism +# --------------------------------------------------------------------------- + +def _run_build(models_dir: Path, out_dir: Path, manifest: Path) -> Dict[str, str]: + argv = [ + "build_benchmark.py", + "--manifest", str(manifest), + "--models-dir", str(models_dir), + "--registry", str(models_dir / "missing_registry.json"), + "--output-dir", str(out_dir), + ] + old = sys.argv + try: + sys.argv = argv + build_benchmark.main() + finally: + sys.argv = old + + hashes = {} + for name in ("reactions.csv", "model_summary.csv", "exclusions.csv", "model_clusters.csv"): + p = out_dir / name + if p.exists(): + hashes[name] = hashlib.sha256(p.read_bytes()).hexdigest() + return hashes + + +def test_repeated_builds_are_byte_identical(tmp_path): + models_dir = tmp_path / "models" + models_dir.mkdir() + + write_model( + models_dir / "SYN0100.xml", + [ + { + "id": "R2", + "reactants": ["B"], + "products": ["C"], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R01512"], + }, + { + "id": "R1", + "reactants": ["A"], + "products": ["B"], + "kegg_uris": [ + "http://identifiers.org/kegg.reaction/R00024", + "http://identifiers.org/kegg.reaction:R01063", + ], + }, + { + "id": "R_sink", + "reactants": ["C"], + "products": [], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R01070"], + }, + ], + ) + write_model( + models_dir / "SYN0101.xml", + [{"id": "R1", "reactants": ["A"], "products": ["B"], "kegg_uris": []}], + ) + + manifest = tmp_path / "manifest.txt" + manifest.write_text("# synthetic\nSYN0100\nSYN0101\nSYN0102\n", encoding="utf-8") + + first = _run_build(models_dir, tmp_path / "out1", manifest) + second = _run_build(models_dir, tmp_path / "out2", manifest) + + assert first, "build produced no artifacts" + assert first == second, f"non-deterministic build:\n{first}\n{second}" + + +def test_build_reconciles_and_separates_failures(tmp_path): + """Included + excluded + pipeline failures must equal the manifest exactly.""" + models_dir = tmp_path / "models" + models_dir.mkdir() + + write_model( + models_dir / "SYN0200.xml", + [ + { + "id": "R1", + "reactants": ["A"], + "products": ["B"], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R00024"], + }, + { + "id": "R_sink", + "reactants": ["B"], + "products": [], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R01512"], + }, + ], + ) + write_model( + models_dir / "SYN0201.xml", + [{"id": "R1", "reactants": ["A"], "products": ["B"], "kegg_uris": []}], + ) + (models_dir / "SYN0202.xml").write_text("not sbml", encoding="utf-8") + + manifest = tmp_path / "manifest.txt" + manifest.write_text("SYN0200\nSYN0201\nSYN0202\nSYN0203\n", encoding="utf-8") + + out = tmp_path / "out" + _run_build(models_dir, out, manifest) + + summary = json.loads((out / "benchmark_summary.json").read_text(encoding="utf-8")) + assert summary["manifest_models"] == 4 + assert summary["models_included"] == 1 + assert summary["models_excluded_no_ground_truth"] == 1 + assert summary["models_pipeline_failure"] == 2 # unparseable + missing + assert summary["total_ground_truth_reactions"] == 2 + assert summary["evaluable_reactions"] == 1 + assert summary["reactions_excluded_ssx"] == 1 + + invariants = json.loads((out / "invariants.json").read_text(encoding="utf-8")) + by_name = {c["check"]: c for c in invariants["checks"]} + assert by_name["model_records_reconcile"]["passed"] is True + assert by_name["reaction_records_reconcile"]["passed"] is True + + version = json.loads((out / "VERSION.json").read_text(encoding="utf-8")) + assert "reactions.csv" in version["artifact_sha256"] + + +def test_cluster_ids_are_stable_and_group_related_models(): + shared = {f"R{i:05d}" for i in range(1, 21)} + gt_sets = { + "BIOMD0000000472": set(shared), + "BIOMD0000000471": set(shared) | {"R99999"}, + "BIOMD0000000013": {"R00100", "R00101"}, + } + cluster_of, groups = build_benchmark.cluster_models(gt_sets, 0.9) + + # The two near-identical variants share a cluster; the unrelated model does not. + assert cluster_of["BIOMD0000000471"] == cluster_of["BIOMD0000000472"] + assert cluster_of["BIOMD0000000013"] != cluster_of["BIOMD0000000471"] + + # Cluster ID derives from the smallest member accession, so it is stable. + assert cluster_of["BIOMD0000000471"] == "CLU_BIOMD0000000471" + + # Every model receives a cluster ID, singletons included. + assert set(cluster_of) == set(gt_sets) + assert len(groups) == 1 + assert groups.iloc[0]["group_size"] == 2 + + # Re-running yields identical assignments. + again, _ = build_benchmark.cluster_models(gt_sets, 0.9) + assert again == cluster_of + + +def test_containment_linkage_catches_extended_variants(): + """A model that extends another must share its cluster. + + Mirrors the real Smallbone2013 yeast variants: 189 shared reactions, but + one model adds 23 more, giving Jaccard 0.86 — under the 0.9 threshold — + while containment is 0.96. Without containment linkage these related + models would land in different train/test partitions. + """ + base = {f"R{i:05d}" for i in range(1, 198)} + extended = set(list(base)[:189]) | {f"R9{i:04d}" for i in range(23)} + gt_sets = {"BIOMD0000000471": base, "BIOMD0000000472": set(base), "BIOMD0000000473": extended} + + shared = len(base & extended) + jaccard = shared / len(base | extended) + containment = shared / min(len(base), len(extended)) + assert jaccard < 0.9, "fixture should reproduce the sub-threshold Jaccard" + assert containment >= 0.9 + + cluster_of, groups = build_benchmark.cluster_models(gt_sets, 0.9, 0.9) + assert ( + cluster_of["BIOMD0000000473"] == cluster_of["BIOMD0000000471"] + ), "extended variant must not be split from its base model" + assert len(groups) == 1 + assert groups.iloc[0]["group_size"] == 3 + assert "containment" in groups.iloc[0]["linkage_rules"] + + +def test_containment_linkage_ignores_trivially_contained_small_models(): + """A tiny model contained in a genome-scale one must not be merged. + + Containment is 1.0 here, but the models are unrelated in scope. Merging on + containment alone chains unrelated models into one cluster through the large + models, which would collapse the partitioning entirely. + """ + big = {f"R{i:05d}" for i in range(1, 501)} + tiny = {"R00001", "R00002"} + cluster_of, groups = build_benchmark.cluster_models( + {"BIOMD0000000001": big, "BIOMD0000000002": tiny}, 0.9, 0.9 + ) + assert cluster_of["BIOMD0000000002"] != cluster_of["BIOMD0000000001"] + assert groups.empty + + +def test_clustering_does_not_collapse_the_corpus(): + """Guard against over-merging: a chain of tiny models must stay separate.""" + gt_sets = {"BIOMD00000000%02d" % i: {f"R1{i:04d}", "R00001"} for i in range(1, 11)} + gt_sets["BIOMD0000009999"] = {f"R{i:05d}" for i in range(1, 2001)} + cluster_of, _ = build_benchmark.cluster_models(gt_sets, 0.9, 0.9) + assert len(set(cluster_of.values())) >= 10, "clustering collapsed unrelated models" + + +def test_containment_needs_meaningful_absolute_overlap(): + """One shared identifier is coincidence, not shared lineage.""" + a = {"R00001"} + b = {"R00001", "R00002"} + cluster_of, groups = build_benchmark.cluster_models( + {"BIOMD0000000001": a, "BIOMD0000000002": b}, 0.9, 0.9 + ) + assert cluster_of["BIOMD0000000001"] != cluster_of["BIOMD0000000002"] + assert groups.empty diff --git a/utils/constants.py b/utils/constants.py index eba6b4c..d8b037e 100644 --- a/utils/constants.py +++ b/utils/constants.py @@ -192,8 +192,9 @@ def get_database_for_entity_type( ] KEGG_REACTION_URI_PATTERNS = [ - r'https?://identifiers\.org/kegg\.reaction:(R\d+)', - r'urn:miriam:kegg\.reaction:(R\d+)' + # identifiers.org supports both `prefix:ID` and `prefix/ID` forms + r'https?://identifiers\.org/kegg\.reaction[:/](R\d+)', + r'urn:miriam:kegg\.reaction:(R\d+)', ] KEGG_COMPOUND_URI_PATTERNS = [ From 0631a0bbe4cfcdb7b667b72cbaaef10b6b93cab4 Mon Sep 17 00:00:00 2001 From: janisshin Date: Tue, 1 Sep 2026 12:26:48 -0700 Subject: [PATCH 2/4] Pin LF line endings for benchmark artifacts so their recorded SHA-256 digests verify after checkout on any platform --- .gitattributes | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 .gitattributes diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..5155664 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,7 @@ +# Frozen benchmark artifacts carry SHA-256 digests in benchmark/data/VERSION.json. +# Those digests are computed over LF-terminated files, so line endings must survive +# checkout unchanged on every platform or the digests will not verify. +benchmark/data/*.csv text eol=lf +benchmark/data/*.json text eol=lf +benchmark/manifest/*.txt text eol=lf +benchmark/manifest/*.json text eol=lf From cded605780e0fc9d7964ed45e8120e74bdad4268 Mon Sep 17 00:00:00 2001 From: janisshin Date: Tue, 1 Sep 2026 12:31:10 -0700 Subject: [PATCH 3/4] Write benchmark JSON artifacts with LF so recorded digests verify on Windows --- benchmark/data/VERSION.json | 6 +- benchmark/manifest/model_registry.json | 157 ++++++++++++------------ benchmark/scripts/build_benchmark.py | 24 ++-- benchmark/scripts/download_biomodels.py | 5 +- tests/test_benchmark_build.py | 34 +++++ 5 files changed, 134 insertions(+), 92 deletions(-) diff --git a/benchmark/data/VERSION.json b/benchmark/data/VERSION.json index fac37d2..2057d00 100644 --- a/benchmark/data/VERSION.json +++ b/benchmark/data/VERSION.json @@ -1,7 +1,7 @@ { "benchmark_version": "phase1-v1", "manifest_sha256": "8e0d65e5e089b8ed34eae69d7d4db542ef9133d86a2b6d0b41b36abe26cbe11e", - "registry_sha256": "276fddf707a2946e3b2b487c7ca35bd11b30f0f754a35920b7b2ce5113816423", + "registry_sha256": "8ba6de7b4171309828a043fa83835dcb1c47d202952152fa945119fa8cb1e367", "artifact_sha256": { "reactions.csv": "f11ebc6f4d0734deb14c054caf277b81695b22668017d70af9c43cd6146004f1", "model_summary.csv": "90210acf3d2e05c1a6b94f38aee25c4c0663b96383d7fdb5fdf32392a7f2f3d8", @@ -12,8 +12,8 @@ "duplicate_groups.csv": "56e62170cee8fffe2a0270a7130cd83db43e188e9bba6b403582286a10e67460", "species_annotations.csv": "99320d1da098215211d0364b70e719a6e59383b82383a30e3436f96d8abafd82", "parser_diagnostics.csv": "889e72069702858817a07c275c68cb1640bf70e2ef362ea202a931a4afe56b06", - "benchmark_summary.json": "8cbf037495f7ed72d02c06fc462ef414878588f83717ae877c520722ebca71ab", - "invariants.json": "fdee658cef1094805735de5fd1e013d05e4f34cc6d8a8bec1ca9ad68aa0701fb" + "benchmark_summary.json": "bcdb4b0ef07d1735e6ba31a221e8cf11a7bd1c04f8f40c0e6f8154c0c903ff5d", + "invariants.json": "135665dbbeb036816e18e910918ca87a664463c4a5b1b12708fad1b3b6e89918" }, "counts": { "models_included": 74, diff --git a/benchmark/manifest/model_registry.json b/benchmark/manifest/model_registry.json index d454313..b8d943f 100644 --- a/benchmark/manifest/model_registry.json +++ b/benchmark/manifest/model_registry.json @@ -1,5 +1,5 @@ { - "created_at": "2026-09-01T19:07:37.679732+00:00", + "created_at": "2026-09-01T19:29:21.862439+00:00", "api_base": "https://www.ebi.ac.uk/biomodels", "manifest": "benchmark/manifest/models.txt", "models_dir": "benchmark/models", @@ -15,7 +15,7 @@ "models": [ { "model_id": "BIOMD0000000013", - "resolved_at": "2026-09-01T19:06:00.569673+00:00", + "resolved_at": "2026-09-01T19:27:58.170075+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000013?format=json", "main_files_available": [ "BIOMD0000000013_url.xml" @@ -40,14 +40,13 @@ "num_revisions": 3, "local_sha256": "e4a9445a74eef88a9783c178f873eebccba72464e8da1fee5cc84e5b4b9192bc", "local_bytes": 96608, - "downloaded_at": "2026-09-01T19:06:06.252659+00:00", - "final_url": "https://www.biomodels.org/model/download/BIOMD0000000013?filename=BIOMD0000000013_url.xml", "checksum_verified": true, - "status": "downloaded" + "status": "cached", + "downloaded_at": null }, { "model_id": "BIOMD0000000015", - "resolved_at": "2026-09-01T19:06:06.554092+00:00", + "resolved_at": "2026-09-01T19:28:02.498642+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000015?format=json", "main_files_available": [ "BIOMD0000000015_url.xml" @@ -78,7 +77,7 @@ }, { "model_id": "BIOMD0000000017", - "resolved_at": "2026-09-01T19:06:07.844891+00:00", + "resolved_at": "2026-09-01T19:28:03.660410+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000017?format=json", "main_files_available": [ "BIOMD0000000017_url.xml" @@ -109,7 +108,7 @@ }, { "model_id": "BIOMD0000000018", - "resolved_at": "2026-09-01T19:06:09.185836+00:00", + "resolved_at": "2026-09-01T19:28:04.835237+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000018?format=json", "main_files_available": [ "BIOMD0000000018_url.xml" @@ -140,7 +139,7 @@ }, { "model_id": "BIOMD0000000023", - "resolved_at": "2026-09-01T19:06:10.325116+00:00", + "resolved_at": "2026-09-01T19:28:05.837940+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000023?format=json", "main_files_available": [ "BIOMD0000000023_url.xml" @@ -171,7 +170,7 @@ }, { "model_id": "BIOMD0000000038", - "resolved_at": "2026-09-01T19:06:11.589139+00:00", + "resolved_at": "2026-09-01T19:28:07.007136+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000038?format=json", "main_files_available": [ "BIOMD0000000038_url.xml" @@ -202,7 +201,7 @@ }, { "model_id": "BIOMD0000000042", - "resolved_at": "2026-09-01T19:06:12.610760+00:00", + "resolved_at": "2026-09-01T19:28:08.063361+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000042?format=json", "main_files_available": [ "BIOMD0000000042_url.xml" @@ -233,7 +232,7 @@ }, { "model_id": "BIOMD0000000046", - "resolved_at": "2026-09-01T19:06:13.569117+00:00", + "resolved_at": "2026-09-01T19:28:08.846382+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000046?format=json", "main_files_available": [ "BIOMD0000000046_url.xml" @@ -264,7 +263,7 @@ }, { "model_id": "BIOMD0000000051", - "resolved_at": "2026-09-01T19:06:14.914698+00:00", + "resolved_at": "2026-09-01T19:28:09.989549+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000051?format=json", "main_files_available": [ "BIOMD0000000051_url.xml" @@ -295,7 +294,7 @@ }, { "model_id": "BIOMD0000000061", - "resolved_at": "2026-09-01T19:06:16.284610+00:00", + "resolved_at": "2026-09-01T19:28:11.065923+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000061?format=json", "main_files_available": [ "BIOMD0000000061_url.xml" @@ -326,7 +325,7 @@ }, { "model_id": "BIOMD0000000063", - "resolved_at": "2026-09-01T19:06:17.435098+00:00", + "resolved_at": "2026-09-01T19:28:12.087685+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000063?format=json", "main_files_available": [ "BIOMD0000000063_url.xml" @@ -357,7 +356,7 @@ }, { "model_id": "BIOMD0000000064", - "resolved_at": "2026-09-01T19:06:18.548218+00:00", + "resolved_at": "2026-09-01T19:28:12.964305+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000064?format=json", "main_files_available": [ "BIOMD0000000064_url.xml" @@ -388,7 +387,7 @@ }, { "model_id": "BIOMD0000000066", - "resolved_at": "2026-09-01T19:06:19.593431+00:00", + "resolved_at": "2026-09-01T19:28:13.967657+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000066?format=json", "main_files_available": [ "BIOMD0000000066_url.xml" @@ -419,7 +418,7 @@ }, { "model_id": "BIOMD0000000067", - "resolved_at": "2026-09-01T19:06:20.702340+00:00", + "resolved_at": "2026-09-01T19:28:15.040029+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000067?format=json", "main_files_available": [ "BIOMD0000000067_url.xml" @@ -450,7 +449,7 @@ }, { "model_id": "BIOMD0000000068", - "resolved_at": "2026-09-01T19:06:21.765184+00:00", + "resolved_at": "2026-09-01T19:28:15.854252+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000068?format=json", "main_files_available": [ "BIOMD0000000068_url.xml" @@ -481,7 +480,7 @@ }, { "model_id": "BIOMD0000000070", - "resolved_at": "2026-09-01T19:06:23.120374+00:00", + "resolved_at": "2026-09-01T19:28:16.920198+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000070?format=json", "main_files_available": [ "BIOMD0000000070_url.xml" @@ -512,7 +511,7 @@ }, { "model_id": "BIOMD0000000071", - "resolved_at": "2026-09-01T19:06:24.401238+00:00", + "resolved_at": "2026-09-01T19:28:17.850853+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000071?format=json", "main_files_available": [ "BIOMD0000000071_url.xml" @@ -543,7 +542,7 @@ }, { "model_id": "BIOMD0000000076", - "resolved_at": "2026-09-01T19:06:26.143248+00:00", + "resolved_at": "2026-09-01T19:28:18.869922+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000076?format=json", "main_files_available": [ "BIOMD0000000076_url.xml" @@ -574,7 +573,7 @@ }, { "model_id": "BIOMD0000000081", - "resolved_at": "2026-09-01T19:06:27.301352+00:00", + "resolved_at": "2026-09-01T19:28:19.940068+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000081?format=json", "main_files_available": [ "BIOMD0000000081_url.xml" @@ -605,7 +604,7 @@ }, { "model_id": "BIOMD0000000088", - "resolved_at": "2026-09-01T19:06:28.479846+00:00", + "resolved_at": "2026-09-01T19:28:21.137531+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000088?format=json", "main_files_available": [ "BIOMD0000000088_url.xml" @@ -636,7 +635,7 @@ }, { "model_id": "BIOMD0000000093", - "resolved_at": "2026-09-01T19:06:29.749921+00:00", + "resolved_at": "2026-09-01T19:28:22.217913+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000093?format=json", "main_files_available": [ "BIOMD0000000093_url.xml" @@ -667,7 +666,7 @@ }, { "model_id": "BIOMD0000000094", - "resolved_at": "2026-09-01T19:06:31.110134+00:00", + "resolved_at": "2026-09-01T19:28:23.150601+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000094?format=json", "main_files_available": [ "BIOMD0000000094_url.xml" @@ -698,7 +697,7 @@ }, { "model_id": "BIOMD0000000108", - "resolved_at": "2026-09-01T19:06:32.384296+00:00", + "resolved_at": "2026-09-01T19:28:24.077170+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000108?format=json", "main_files_available": [ "BIOMD0000000108_url.xml" @@ -729,7 +728,7 @@ }, { "model_id": "BIOMD0000000122", - "resolved_at": "2026-09-01T19:06:33.496140+00:00", + "resolved_at": "2026-09-01T19:28:25.021716+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000122?format=json", "main_files_available": [ "BIOMD0000000122_url.xml" @@ -760,7 +759,7 @@ }, { "model_id": "BIOMD0000000123", - "resolved_at": "2026-09-01T19:06:34.747241+00:00", + "resolved_at": "2026-09-01T19:28:26.048601+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000123?format=json", "main_files_available": [ "BIOMD0000000123_url.xml" @@ -791,7 +790,7 @@ }, { "model_id": "BIOMD0000000137", - "resolved_at": "2026-09-01T19:06:35.866665+00:00", + "resolved_at": "2026-09-01T19:28:27.142495+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000137?format=json", "main_files_available": [ "BIOMD0000000137_url.xml" @@ -822,7 +821,7 @@ }, { "model_id": "BIOMD0000000143", - "resolved_at": "2026-09-01T19:06:37.201874+00:00", + "resolved_at": "2026-09-01T19:28:28.228484+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000143?format=json", "main_files_available": [ "BIOMD0000000143_url.xml" @@ -853,7 +852,7 @@ }, { "model_id": "BIOMD0000000171", - "resolved_at": "2026-09-01T19:06:38.365612+00:00", + "resolved_at": "2026-09-01T19:28:29.189907+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000171?format=json", "main_files_available": [ "BIOMD0000000171_url.xml" @@ -884,7 +883,7 @@ }, { "model_id": "BIOMD0000000172", - "resolved_at": "2026-09-01T19:06:39.278638+00:00", + "resolved_at": "2026-09-01T19:28:30.241054+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000172?format=json", "main_files_available": [ "BIOMD0000000172_url.xml" @@ -915,7 +914,7 @@ }, { "model_id": "BIOMD0000000176", - "resolved_at": "2026-09-01T19:06:40.636906+00:00", + "resolved_at": "2026-09-01T19:28:31.388184+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000176?format=json", "main_files_available": [ "BIOMD0000000176_url.xml" @@ -946,7 +945,7 @@ }, { "model_id": "BIOMD0000000177", - "resolved_at": "2026-09-01T19:06:41.901126+00:00", + "resolved_at": "2026-09-01T19:28:32.315591+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000177?format=json", "main_files_available": [ "BIOMD0000000177_url.xml" @@ -977,7 +976,7 @@ }, { "model_id": "BIOMD0000000190", - "resolved_at": "2026-09-01T19:06:43.184366+00:00", + "resolved_at": "2026-09-01T19:28:33.474583+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000190?format=json", "main_files_available": [ "BIOMD0000000190_url.xml" @@ -1008,7 +1007,7 @@ }, { "model_id": "BIOMD0000000191", - "resolved_at": "2026-09-01T19:06:44.345756+00:00", + "resolved_at": "2026-09-01T19:28:34.400544+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000191?format=json", "main_files_available": [ "BIOMD0000000191_url.xml" @@ -1039,7 +1038,7 @@ }, { "model_id": "BIOMD0000000206", - "resolved_at": "2026-09-01T19:06:45.596974+00:00", + "resolved_at": "2026-09-01T19:28:35.340936+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000206?format=json", "main_files_available": [ "BIOMD0000000206_url.xml" @@ -1070,7 +1069,7 @@ }, { "model_id": "BIOMD0000000211", - "resolved_at": "2026-09-01T19:06:46.714232+00:00", + "resolved_at": "2026-09-01T19:28:36.388557+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000211?format=json", "main_files_available": [ "BIOMD0000000211_url.xml" @@ -1101,7 +1100,7 @@ }, { "model_id": "BIOMD0000000212", - "resolved_at": "2026-09-01T19:06:48.006716+00:00", + "resolved_at": "2026-09-01T19:28:37.314439+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000212?format=json", "main_files_available": [ "BIOMD0000000212_url.xml" @@ -1132,7 +1131,7 @@ }, { "model_id": "BIOMD0000000213", - "resolved_at": "2026-09-01T19:06:49.255400+00:00", + "resolved_at": "2026-09-01T19:28:38.375886+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000213?format=json", "main_files_available": [ "BIOMD0000000213_url.xml" @@ -1163,7 +1162,7 @@ }, { "model_id": "BIOMD0000000218", - "resolved_at": "2026-09-01T19:06:50.473624+00:00", + "resolved_at": "2026-09-01T19:28:39.534314+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000218?format=json", "main_files_available": [ "BIOMD0000000218_url.xml" @@ -1194,7 +1193,7 @@ }, { "model_id": "BIOMD0000000219", - "resolved_at": "2026-09-01T19:06:51.684928+00:00", + "resolved_at": "2026-09-01T19:28:40.901686+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000219?format=json", "main_files_available": [ "BIOMD0000000219_url.xml" @@ -1225,7 +1224,7 @@ }, { "model_id": "BIOMD0000000221", - "resolved_at": "2026-09-01T19:06:52.746728+00:00", + "resolved_at": "2026-09-01T19:28:41.968928+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000221?format=json", "main_files_available": [ "BIOMD0000000221_url.xml" @@ -1256,7 +1255,7 @@ }, { "model_id": "BIOMD0000000222", - "resolved_at": "2026-09-01T19:06:53.766469+00:00", + "resolved_at": "2026-09-01T19:28:43.102727+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000222?format=json", "main_files_available": [ "BIOMD0000000222_url.xml" @@ -1287,7 +1286,7 @@ }, { "model_id": "BIOMD0000000225", - "resolved_at": "2026-09-01T19:06:54.874501+00:00", + "resolved_at": "2026-09-01T19:28:43.903662+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000225?format=json", "main_files_available": [ "BIOMD0000000225_url.xml" @@ -1318,7 +1317,7 @@ }, { "model_id": "BIOMD0000000231", - "resolved_at": "2026-09-01T19:06:56.019454+00:00", + "resolved_at": "2026-09-01T19:28:44.952555+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000231?format=json", "main_files_available": [ "BIOMD0000000231_url.xml" @@ -1349,7 +1348,7 @@ }, { "model_id": "BIOMD0000000232", - "resolved_at": "2026-09-01T19:06:57.178287+00:00", + "resolved_at": "2026-09-01T19:28:45.989124+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000232?format=json", "main_files_available": [ "BIOMD0000000232_url.xml" @@ -1380,7 +1379,7 @@ }, { "model_id": "BIOMD0000000236", - "resolved_at": "2026-09-01T19:06:58.536999+00:00", + "resolved_at": "2026-09-01T19:28:46.957943+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000236?format=json", "main_files_available": [ "BIOMD0000000236_url.xml" @@ -1411,7 +1410,7 @@ }, { "model_id": "BIOMD0000000244", - "resolved_at": "2026-09-01T19:06:59.702854+00:00", + "resolved_at": "2026-09-01T19:28:48.032853+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000244?format=json", "main_files_available": [ "BIOMD0000000244_url.xml" @@ -1442,7 +1441,7 @@ }, { "model_id": "BIOMD0000000245", - "resolved_at": "2026-09-01T19:07:00.967993+00:00", + "resolved_at": "2026-09-01T19:28:49.053470+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000245?format=json", "main_files_available": [ "BIOMD0000000245_url.xml" @@ -1473,7 +1472,7 @@ }, { "model_id": "BIOMD0000000247", - "resolved_at": "2026-09-01T19:07:02.085839+00:00", + "resolved_at": "2026-09-01T19:28:50.068399+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000247?format=json", "main_files_available": [ "BIOMD0000000247_url.xml" @@ -1504,7 +1503,7 @@ }, { "model_id": "BIOMD0000000248", - "resolved_at": "2026-09-01T19:07:03.026464+00:00", + "resolved_at": "2026-09-01T19:28:51.133524+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000248?format=json", "main_files_available": [ "BIOMD0000000248_url.xml" @@ -1535,7 +1534,7 @@ }, { "model_id": "BIOMD0000000253", - "resolved_at": "2026-09-01T19:07:04.378255+00:00", + "resolved_at": "2026-09-01T19:28:52.285581+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000253?format=json", "main_files_available": [ "BIOMD0000000253_url.xml" @@ -1566,7 +1565,7 @@ }, { "model_id": "BIOMD0000000268", - "resolved_at": "2026-09-01T19:07:05.537451+00:00", + "resolved_at": "2026-09-01T19:28:53.418687+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000268?format=json", "main_files_available": [ "BIOMD0000000268_url.xml" @@ -1597,7 +1596,7 @@ }, { "model_id": "BIOMD0000000281", - "resolved_at": "2026-09-01T19:07:06.612053+00:00", + "resolved_at": "2026-09-01T19:28:54.602131+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000281?format=json", "main_files_available": [ "BIOMD0000000281_url.xml" @@ -1628,7 +1627,7 @@ }, { "model_id": "BIOMD0000000292", - "resolved_at": "2026-09-01T19:07:07.986516+00:00", + "resolved_at": "2026-09-01T19:28:55.759941+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000292?format=json", "main_files_available": [ "BIOMD0000000292_url.xml" @@ -1659,7 +1658,7 @@ }, { "model_id": "BIOMD0000000450", - "resolved_at": "2026-09-01T19:07:09.234688+00:00", + "resolved_at": "2026-09-01T19:28:56.480429+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000450?format=json", "main_files_available": [ "BIOMD0000000450_url.xml" @@ -1690,7 +1689,7 @@ }, { "model_id": "BIOMD0000000471", - "resolved_at": "2026-09-01T19:07:10.552531+00:00", + "resolved_at": "2026-09-01T19:28:57.705808+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000471?format=json", "main_files_available": [ "BIOMD0000000471_url.xml" @@ -1721,7 +1720,7 @@ }, { "model_id": "BIOMD0000000472", - "resolved_at": "2026-09-01T19:07:11.974625+00:00", + "resolved_at": "2026-09-01T19:28:58.842585+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000472?format=json", "main_files_available": [ "BIOMD0000000472_url.xml" @@ -1752,7 +1751,7 @@ }, { "model_id": "BIOMD0000000473", - "resolved_at": "2026-09-01T19:07:13.302561+00:00", + "resolved_at": "2026-09-01T19:29:00.031956+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000473?format=json", "main_files_available": [ "BIOMD0000000473_url.xml" @@ -1783,7 +1782,7 @@ }, { "model_id": "BIOMD0000000503", - "resolved_at": "2026-09-01T19:07:14.583284+00:00", + "resolved_at": "2026-09-01T19:29:01.069392+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000503?format=json", "main_files_available": [ "BIOMD0000000503_url.xml" @@ -1814,7 +1813,7 @@ }, { "model_id": "BIOMD0000000579", - "resolved_at": "2026-09-01T19:07:15.731961+00:00", + "resolved_at": "2026-09-01T19:29:02.041448+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000579?format=json", "main_files_available": [ "BIOMD0000000579_url.xml" @@ -1845,7 +1844,7 @@ }, { "model_id": "BIOMD0000000590", - "resolved_at": "2026-09-01T19:07:16.970933+00:00", + "resolved_at": "2026-09-01T19:29:03.365044+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000590?format=json", "main_files_available": [ "BIOMD0000000590_url.xml" @@ -1876,7 +1875,7 @@ }, { "model_id": "BIOMD0000000602", - "resolved_at": "2026-09-01T19:07:18.184617+00:00", + "resolved_at": "2026-09-01T19:29:04.406423+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000602?format=json", "main_files_available": [ "BIOMD0000000602_url.xml" @@ -1907,7 +1906,7 @@ }, { "model_id": "BIOMD0000000627", - "resolved_at": "2026-09-01T19:07:19.600352+00:00", + "resolved_at": "2026-09-01T19:29:05.619661+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000627?format=json", "main_files_available": [ "BIOMD0000000627_url.xml" @@ -1938,7 +1937,7 @@ }, { "model_id": "BIOMD0000000633", - "resolved_at": "2026-09-01T19:07:20.791657+00:00", + "resolved_at": "2026-09-01T19:29:07.282433+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000633?format=json", "main_files_available": [ "BIOMD0000000633_url.xml" @@ -1969,7 +1968,7 @@ }, { "model_id": "BIOMD0000000674", - "resolved_at": "2026-09-01T19:07:22.054823+00:00", + "resolved_at": "2026-09-01T19:29:08.236858+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000674?format=json", "main_files_available": [ "BIOMD0000000674_url.xml" @@ -2000,7 +1999,7 @@ }, { "model_id": "BIOMD0000000689", - "resolved_at": "2026-09-01T19:07:23.265966+00:00", + "resolved_at": "2026-09-01T19:29:09.351098+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000689?format=json", "main_files_available": [ "BIOMD0000000689_url.xml" @@ -2031,7 +2030,7 @@ }, { "model_id": "BIOMD0000000690", - "resolved_at": "2026-09-01T19:07:24.342083+00:00", + "resolved_at": "2026-09-01T19:29:10.524862+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000690?format=json", "main_files_available": [ "BIOMD0000000690_url.xml" @@ -2062,7 +2061,7 @@ }, { "model_id": "BIOMD0000000691", - "resolved_at": "2026-09-01T19:07:25.561876+00:00", + "resolved_at": "2026-09-01T19:29:11.621259+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000691?format=json", "main_files_available": [ "BIOMD0000000691_url.xml" @@ -2093,7 +2092,7 @@ }, { "model_id": "BIOMD0000000725", - "resolved_at": "2026-09-01T19:07:26.728117+00:00", + "resolved_at": "2026-09-01T19:29:12.691953+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000000725?format=json", "main_files_available": [ "Model.xml" @@ -2124,7 +2123,7 @@ }, { "model_id": "BIOMD0000001061", - "resolved_at": "2026-09-01T19:07:28.019935+00:00", + "resolved_at": "2026-09-01T19:29:13.693677+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000001061?format=json", "main_files_available": [ "Canto-Encalada2022-FBA_of_simultaneous_degradation_of_ammonia_and_pollutants.xml" @@ -2155,7 +2154,7 @@ }, { "model_id": "BIOMD0000001062", - "resolved_at": "2026-09-01T19:07:29.425890+00:00", + "resolved_at": "2026-09-01T19:29:14.978623+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000001062?format=json", "main_files_available": [ "iDK1463.xml" @@ -2186,7 +2185,7 @@ }, { "model_id": "BIOMD0000001063", - "resolved_at": "2026-09-01T19:07:30.919216+00:00", + "resolved_at": "2026-09-01T19:29:16.180206+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000001063?format=json", "main_files_available": [ "yeast-GEM.xml" @@ -2217,7 +2216,7 @@ }, { "model_id": "BIOMD0000001090", - "resolved_at": "2026-09-01T19:07:32.498427+00:00", + "resolved_at": "2026-09-01T19:29:17.536051+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000001090?format=json", "main_files_available": [ "Dias2019_iDS372.xml" @@ -2248,7 +2247,7 @@ }, { "model_id": "BIOMD0000001091", - "resolved_at": "2026-09-01T19:07:33.862010+00:00", + "resolved_at": "2026-09-01T19:29:18.524793+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000001091?format=json", "main_files_available": [ "Kulyashov2020_SBMLL3V1fbcV2-GSM_model_Geobacillus_icigianus.xml" @@ -2279,7 +2278,7 @@ }, { "model_id": "BIOMD0000001092", - "resolved_at": "2026-09-01T19:07:35.245752+00:00", + "resolved_at": "2026-09-01T19:29:19.665824+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000001092?format=json", "main_files_available": [ "Gautam2020_RQ7_iJG408.xml" @@ -2310,7 +2309,7 @@ }, { "model_id": "BIOMD0000001093", - "resolved_at": "2026-09-01T19:07:36.632577+00:00", + "resolved_at": "2026-09-01T19:29:20.819767+00:00", "files_url": "https://www.ebi.ac.uk/biomodels/model/files/BIOMD0000001093?format=json", "main_files_available": [ "iJN1463.xml" diff --git a/benchmark/scripts/build_benchmark.py b/benchmark/scripts/build_benchmark.py index 0ff3fc0..d32eedc 100644 --- a/benchmark/scripts/build_benchmark.py +++ b/benchmark/scripts/build_benchmark.py @@ -873,6 +873,18 @@ def sha256_of(path: Path) -> str: return h.hexdigest() +def write_json(path: Path, payload: object) -> None: + """Write JSON with LF endings on every platform. + + ``Path.write_text`` translates ``\\n`` to ``\\r\\n`` on Windows, which would + make the recorded SHA-256 digests platform-dependent and stop them matching + the LF-normalised blobs stored by git. + """ + text = json.dumps(payload, indent=2) + "\n" + with path.open("w", encoding="utf-8", newline="\n") as fh: + fh.write(text) + + def write_csv(df: pd.DataFrame, path: Path, sort_by: Optional[List[str]] = None) -> None: """Deterministic CSV: stable sort, fixed line terminator, no index.""" if sort_by and not df.empty: @@ -1011,9 +1023,7 @@ def main() -> int: "in benchmark/data/RECONCILIATION.md rather than engineered away.", }, } - (args.output_dir / "benchmark_summary.json").write_text( - json.dumps(summary, indent=2) + "\n", encoding="utf-8" - ) + write_json(args.output_dir / "benchmark_summary.json", summary) invariants = check_invariants( manifest_ids=manifest_ids, @@ -1023,9 +1033,7 @@ def main() -> int: exclusions_df=exclusions_df, cluster_of=cluster_of, ) - (args.output_dir / "invariants.json").write_text( - json.dumps(invariants, indent=2) + "\n", encoding="utf-8" - ) + write_json(args.output_dir / "invariants.json", invariants) artifacts = [ "reactions.csv", @@ -1056,9 +1064,7 @@ def main() -> int: }, "invariants_all_passed": invariants["all_passed"], } - (args.output_dir / "VERSION.json").write_text( - json.dumps(version, indent=2) + "\n", encoding="utf-8" - ) + write_json(args.output_dir / "VERSION.json", version) logger.info("Summary: %s", json.dumps({k: v for k, v in summary.items() if k != "historical_reference"})) logger.info( diff --git a/benchmark/scripts/download_biomodels.py b/benchmark/scripts/download_biomodels.py index ce322c8..9d0d000 100644 --- a/benchmark/scripts/download_biomodels.py +++ b/benchmark/scripts/download_biomodels.py @@ -270,7 +270,10 @@ def main() -> int: } args.registry.parent.mkdir(parents=True, exist_ok=True) - args.registry.write_text(json.dumps(registry, indent=2) + "\n", encoding="utf-8") + # newline="\n" so the registry bytes (and thus its digest) are identical on + # every platform and match the LF-normalised blob stored by git. + with args.registry.open("w", encoding="utf-8", newline="\n") as fh: + fh.write(json.dumps(registry, indent=2) + "\n") logger.info( "Registry written to %s (ok=%d, mismatch=%d, failed=%d)", args.registry, diff --git a/tests/test_benchmark_build.py b/tests/test_benchmark_build.py index ba6291f..beaffbf 100644 --- a/tests/test_benchmark_build.py +++ b/tests/test_benchmark_build.py @@ -453,6 +453,40 @@ def test_repeated_builds_are_byte_identical(tmp_path): assert first == second, f"non-deterministic build:\n{first}\n{second}" +def test_artifacts_use_lf_and_digests_match_bytes(tmp_path): + """Artifacts must be LF-terminated and VERSION.json digests must match. + + ``Path.write_text`` silently converts ``\\n`` to ``\\r\\n`` on Windows, which + made the recorded digests platform-dependent and stopped them matching the + LF-normalised blobs git stores. + """ + models_dir = tmp_path / "models" + models_dir.mkdir() + write_model( + models_dir / "SYN0300.xml", + [ + { + "id": "R1", + "reactants": ["A"], + "products": ["B"], + "kegg_uris": ["http://identifiers.org/kegg.reaction/R00024"], + } + ], + ) + manifest = tmp_path / "manifest.txt" + manifest.write_text("SYN0300\n", encoding="utf-8") + + out = tmp_path / "out" + _run_build(models_dir, out, manifest) + + version = json.loads((out / "VERSION.json").read_text(encoding="utf-8")) + for name, expected in version["artifact_sha256"].items(): + raw = (out / name).read_bytes() + assert b"\r\n" not in raw, f"{name} contains CRLF; digests would not survive checkout" + actual = hashlib.sha256(raw).hexdigest() + assert actual == expected, f"{name} digest does not match its bytes" + + def test_build_reconciles_and_separates_failures(tmp_path): """Included + excluded + pipeline failures must equal the manifest exactly.""" models_dir = tmp_path / "models" From 2129bc524ca1a20f6af6ed4bf114e1e471fdad3a Mon Sep 17 00:00:00 2001 From: janisshin Date: Tue, 1 Sep 2026 12:33:26 -0700 Subject: [PATCH 4/4] Normalise manifest line endings to LF so the manifest digest verifies --- benchmark/data/VERSION.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/benchmark/data/VERSION.json b/benchmark/data/VERSION.json index 2057d00..8fa796d 100644 --- a/benchmark/data/VERSION.json +++ b/benchmark/data/VERSION.json @@ -1,6 +1,6 @@ { "benchmark_version": "phase1-v1", - "manifest_sha256": "8e0d65e5e089b8ed34eae69d7d4db542ef9133d86a2b6d0b41b36abe26cbe11e", + "manifest_sha256": "3fd01d100bf544af9217722b5fe4a7204cf82aea9ec391571eae11965e26a861", "registry_sha256": "8ba6de7b4171309828a043fa83835dcb1c47d202952152fa945119fa8cb1e367", "artifact_sha256": { "reactions.csv": "f11ebc6f4d0734deb14c054caf277b81695b22668017d70af9c43cd6146004f1",