GECKO v1.2.0
- Implemented automatic kcat flexibilization for over-constrained models:
- Based on a maximum growth rate specified by the user, the algorithm iteratively identifies the top growth-limiting kcat value and changes it for the highest one in BRENDA (same EC number)
- Once that the model is growing close to the set value, the average enzyme saturation factor is refitted
- For non-feasible/zero-growth models, sensitivity analysis is performed on a reaction and enzyme basis rather than on individual kcat values
- The outputs of this step are stored in
topUsedEnzymes.txt
andkcatModification.txt
and can be used for further manual curation
- All databases updated (BRENDA, swissprot, KEGG, PaxDB)
- More generic gene/protein matching for compatibility with other models
- Re-organization of all output files in a single folder
- New badges + styling of website
NOTE: Also not available in pypi (issue #14 still unresolved)