Skip to content

Enzyme constrained B. subtilis model (based on iYO844)

Notifications You must be signed in to change notification settings

computer-aided-biotech/ec_iYO844

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 

Repository files navigation

ec_iYO844

Enzyme-constrained B. subtilis model (based on iYO844)

  • Brief Repository Description:
    This repository contains the current enzyme-constrained metabolic model of Bacillus subtilis (<ec_iYO844.mat>).

  • Model KeyWords:
    GEM Category: Species; Utilisation: predictive simulation, in silico strain design; Field: metabolic-network reconstruction; Type of Model: curated, reconstruction; Model Source: iYO844; Taxonomy: Bacillus subtilis; Metabolic System: General Metabolism; Condition: aerobic, glucose minimal medium.

  • Last update: 2018-10-10

  • The model contains:

Taxonomy Template Model Reaction Metabolites Genes
Bacillus subtilis iYO844 1250 990 844
  • This repository is administered by Ilaria Massaiu, @IMassaiu, BMS Lab, University of Pavia, via Ferrata 5 (Italy), Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby (Denmark).

Installation

Recommended Software:

  • A functional Matlab installation (MATLAB 2010a or higher).
  • COBRA Toolbox for MATLAB.
  • Gurobi Optimizer for MATLAB.

Complementary Scripts

  • <analysis.m>: Example in which the model is analysed by pFBA, FVA and MOMA.

Complementary Data

  • <EnzymaticData.xls>: The abbreviation name, locus name, protein, kcat [h-1] value, 95% confidence interval of protein abundance value [mmol/gdw] and molecular weights [kDa] are reported for each enzyme-constrained reaction.
  • <Dataset.xls>: The experimental [Chubukov et al. 2013, Fischer and Sauer 2005 and Kobayashi K et al. 2003] and predicted (with iYO844 and ec_iYO844) data of B. subtilis wild-type and single-gene deletion strains are reported.

Contributors

  • Ilaria Massaiu, @IMassaiu, BMS Lab, University of Pavia, via Ferrata 5 (Italy).
  • Markus J. Herrgård, The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby (Denmark).
  • Nikolaus Sonnenschein, @phantomas1234, The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark.

About

Enzyme constrained B. subtilis model (based on iYO844)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • MATLAB 100.0%