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Methods for using the GECKO model with cobrapy

Project description

Please refer to http://geckotoolbox.readthedocs.io

History

1.3.4 (2018-12-04)

  • Features:
    • Generalization of measureAbundance.m to receive any PaxDB file, a relative proteomics dataset, or even nothing at all (PR #58).
    • New utility: Comparative FVA between a model and its enzyme-constrained version (PR #57).
  • Fixes:
    • Consistent definition of what data is in uniprot.tab (PR #48).
    • Proper use of measureAbundance.m from within constrainEnzymes.m (PR #56).
  • Refactoring:
    • Switch all functions that add/change rxns/genes from COBRA to RAVEN (PR #48).
    • Avoid any functions from Simulink (PR #48).

1.3.3 (2018-11-02)

  • Fixes:
    • Fixes #15: Binary results from the model (ecModel.mat, ecModel_batch.mat & enzData.mat) are no longer stored in repo (PR #52).
    • Misc. fixes in the biomass composition + GAM calculations (PR #53).
  • Refactoring:
    • Speed improvement in misc. functions (PR #49).
    • Added sumProtein.m for easier use when creating new ecModels (PR #53).
  • Documentation:
    • Documented better which scripts/data should be changed and which are optional when adapting geckomat to produce a new ecModel (PR #53).

1.3.2 (2018-10-12)

  • Features:
    • Name & version of the model are now read/stored from/as model fields (PR #42).
    • Pipeline now works for any objective function (PR #47).
  • Fixes:
    • Fixed bug from #39 that saved the .mat file with the wrong name (PR #42).
    • Adapted pipeline to deal with multiple gene IDs for 1 protein / multiple protein IDs for 1 gene, for dealing with human-based GEMs (PR #43).
    • changeMedia_batch.m modified to reflect the Y6 minimal media composition (PR #47).
  • Refactoring:
    • Performance improvements to getConstrainedModel.m and sigmaFitter.m (PR #47).
    • fitGAM.m is now only called from inside scaleBioMass.m (PR #47).

1.3.1 (2018-08-28)

  • Features:
    • Adapted the pipeline to work with yeast-GEM, including loading, processing and saving the model. Current model is constructed from yeast v8.1.3 (PR #39).
    • When constructing ecModel_batch, lipid fraction is now scaled together with protein and carbohydrate fractions (PR #39).
  • Fixes:
    • geckopy tests flexibilized to comply with yeast-GEM (PR #39).
  • Refactoring:
    • Reorganized the repo, making a division between geckomat (Matlab part for generation + simulation of ecModels) and geckopy (Python part for simulations of ecYeastGEM) (PR #40).
    • Parameters f (mass fraction of enzymes in model), Pbase, Cbase, Lbase (biomass composition) and GAM (growth-associated ATP maintenance) are now automatically computed (PR #39).
    • Added RAVEN as a dependency for geckomat (PR #38).
    • Changed most COBRA functions in pipeline to RAVEN functions (PR #39).

1.3.0 (2018-08-01)

  • Features:
    • Protein flexibilization: When proteomic measurements are provided, individual protein levels will now be iteratively flexibilized by the pipeline if the model results to be overconstrained, based on a provided growth rate. After this, flexibilized protein exchange pseudoreaction upper bounds will be set to the their flux values from a parsimonious FBA simulation (PR #34).
    • Utilities: Included a folder with useful functions (PR #34).
  • Fixes:
    • Fixes #14: CI is no longer failing, as model location, model naming and metabolite ID naming were corrected. test_adjust_pool_bounds was simplified to test with only 1 essential protein (PR #28).

1.2.1 (2018-05-30)

  • Features:
    • All genes from the original yeast model now included in the .xml file. Genes connected to enzyme constraints are now stored in model.enzGenes in the .mat structure.
    • Docs badge in README.
  • Fixes:
    • Fields grRules and rules fixed in a consistent way:
      • grRules for the backwards reactions are the same as for the forward ones.
      • For reactions catalyzed by just 1 enzyme (or complex), grRules of the original reactions are assigned to them.
      • For reactions catalyzed by more than 1 enzyme (or more than 1 complex), grRules of the original reactions are assigned to the arm reactions, and the corresponding sub-rules are assigned to the isozyme-controlled reactions.
      • For enzyme exchange reactions, grRules are assigned as thecorresponding gene ID.
      • The rules field is set equal to grRules for providing consistency with different toolboxes.
    • Inter-OS compatibility: * Numbers in scientific notation are stored in the .xml files with format Xe-0N, not Xe-00N, or with format Xe-1N, not Xe-01N, regardless of the OS used for generating them. * Numbers in all files are shown with up to 6 significant figures.
  • Refactoring:
    • Updated to new COBRA standards for addReaction usage.
  • NOTE: Not available in pypi (issue #14 unresolved)

1.2.0 (2018-04-12)

  • 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 and kcatModification.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: Not available in pypi (issue #14 unresolved)

1.1.2 (2018-03-20)

  • Improved kcat matching to BRENDA with:
    1. Specific activity
    2. Phylogenetic distance, when data for organism of choice is not available
  • Switched to readthedocs for documentation: http://geckotoolbox.readthedocs.io
  • Added a Gitter room for discussion: https://gitter.im/SysBioChalmers/GECKO
  • Switched to a simplified GitFlow structure (master + devel + feature branches)
  • Python 3.4 environment dropped in CI (no longer supported by pandas)
  • NOTE: Not available in pypi (issue #14 unresolved)

1.1.1 (2017-12-08)

  • Model and data are now also deployed.
  • Changes in license and readme.

1.1.0 (2017-09-07)

  • First release on PyPI.

1.0.0 (2017-09-07)

  • First release of GECKO in Github.

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