Datasets:
condition_id large_stringlengths 41 46 | limitation large_stringclasses 2
values | strain large_stringclasses 4
values | effector large_stringclasses 2
values | effector_concentration_uM float64 0 400 | flux_growth_rate_h_inv float64 0.23 0.95 | metabolite_growth_rate_h_inv float64 0.2 0.91 | split large_stringclasses 2
values |
|---|---|---|---|---|---|---|---|
kochanowski-2021|catabolic|NCM3722|3-MBA|0uM | catabolic | NCM3722 | 3-MBA | 0 | 0.953877 | 0.9 | heldout |
kochanowski-2021|catabolic|NCM3722|3-MBA|400uM | catabolic | NCM3722 | 3-MBA | 400 | 0.92828 | 0.9 | heldout |
kochanowski-2021|catabolic|NQ1243|3-MBA|400uM | catabolic | NQ1243 | 3-MBA | 400 | 0.901291 | 0.85 | train |
kochanowski-2021|catabolic|NQ1243|3-MBA|100uM | catabolic | NQ1243 | 3-MBA | 100 | 0.748423 | 0.7 | train |
kochanowski-2021|catabolic|NQ1243|3-MBA|0uM | catabolic | NQ1243 | 3-MBA | 0 | 0.638561 | 0.57 | train |
kochanowski-2021|catabolic|NQ1390|3-MBA|400uM | catabolic | NQ1390 | 3-MBA | 400 | 0.531431 | 0.47 | train |
kochanowski-2021|catabolic|NQ1390|3-MBA|100uM | catabolic | NQ1390 | 3-MBA | 100 | 0.449203 | 0.39 | train |
kochanowski-2021|catabolic|NQ1390|3-MBA|40uM | catabolic | NQ1390 | 3-MBA | 40 | 0.420268 | 0.36 | heldout |
kochanowski-2021|anabolic|NCM3722|IPTG|0uM | anabolic | NCM3722 | IPTG | 0 | 0.933913 | 0.91 | heldout |
kochanowski-2021|anabolic|NCM3722|IPTG|100uM | anabolic | NCM3722 | IPTG | 100 | 0.899274 | 0.85 | train |
kochanowski-2021|anabolic|NQ393|IPTG|100uM | anabolic | NQ393 | IPTG | 100 | 0.893128 | 0.85 | train |
kochanowski-2021|anabolic|NQ393|IPTG|50uM | anabolic | NQ393 | IPTG | 50 | 0.604729 | 0.74 | train |
kochanowski-2021|anabolic|NQ393|IPTG|40uM | anabolic | NQ393 | IPTG | 40 | 0.503617 | 0.5 | train |
kochanowski-2021|anabolic|NQ393|IPTG|30uM | anabolic | NQ393 | IPTG | 30 | 0.444305 | 0.45 | train |
kochanowski-2021|anabolic|NQ393|IPTG|20uM | anabolic | NQ393 | IPTG | 20 | 0.323059 | 0.31 | train |
kochanowski-2021|anabolic|NQ393|IPTG|10uM | anabolic | NQ393 | IPTG | 10 | 0.231475 | 0.2 | train |
GEM-Integration
This dataset is the redistribution-approved data package for the GEM-Atlas research platform. It contains harmonized tables derived from Kochanowski et al. (2021), explicit condition splits, schemas, checksums, and metadata-only source manifests.
Included values
- 16 EV3/EV4 strain-effector conditions.
- Source-derived 13C-MFA flux estimates from EV3.
- Absolute intracellular metabolite measurements from EV4.
- The separate EV2 protein series. It is not joined to EV3/EV4 because the source does not identify strain and effector for those columns.
Kochanowski source data are attributed to:
Kochanowski K, et al. Global coordination of metabolic pathways in Escherichia coli by active and passive regulation. Molecular Systems Biology 17:e10064 (2021). https://doi.org/10.15252/msb.202010064
These derived tables retain the source CC BY 4.0 license and accession metadata.
Deliberately excluded
- HeCaToS experimental values. Its BioStudies accessions are represented only by metadata, checksums, and deterministic retrieval recipes.
- Ecoli-GEM and Human-GEM model bytes. The manifests point to official pinned revisions instead.
- Atlas embedding or model tensors. They remain in their separately pinned Hub repository.
- Credentials and local cache paths.
The observation_mask column distinguishes experimentally observed values from
inferred 13C-MFA values. Missing measurements remain null and are never encoded
as observed zeroes.
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