Published February 4, 2021 | Version v1
Dataset Open

Models and main dataset - Constraint-based metabolic control analysis for rational strain engineering

  • 1. EPFL
  • 2. EPFL, University of Basel00

Description

Models and dataset needed to reproduce the case studies for the manuscript Constraint-based metabolic control analysis for rational strain engineering by S. Tsouka et al.

The code and software requirements to run simulations explained and available at: https://github.com/EPFL-LCSB/NRA and https://gitlab.com/realLCSB/nra

Models:

  • Consistently reduced stoichiometric model of E. coli metabolism in the SBML format (from Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations by Hameri et al. - https://doi.org/10.1016/j.ymben.2018.10.005): reducedD1Model_FBA.xml
  • Thermodynamically curated model of E.coli metabolism in MATLAB's mat format (from Kinetic models of metabolism that consider alternative steady-state solutions of intracellular fluxes and concentrations by Hameri et al. - https://doi.org/10.1016/j.ymben.2018.10.005): D1_FDP1.mat

Datasets:

  • Files containing various data and options used in the generation of control coefficients (dataInfo.mat, metSampDataD1_FDP1.mat)
  • Files containing statistics for the previously generated population of 50'000 sets of flux and concentration control coefficients (raw data provided below as Supplementary datasets): CpaggDATA.mat (flux CCs), and CxaggDATA.mat (concentration CCs)
  • Files containing the reference and 18 extreme sets of flux and concentration CCs used in the present study: CCforNRA_RXN_GLCptspp.mat (chosen through Principal Component Analysis (PCA) based on the GLCptspp parameter) and CCforNRA_RXN_PYRtex.mat (chosen through PCA based on the PYRtex parameter)
  • Supplementary datasets 1-5, 50 files each containing 1000 sets of flux and concentration CCs, named as DataD1_FDP1xx.mat where xx ranges from 1-50. The files are available as:
    • Supplementary dataset 1: http://doi.org/10.5281/zenodo.4500807
    • Supplementary dataset 2: http://doi.org/10.5281/zenodo.4500874
    • Supplementary dataset 3: http://doi.org/10.5281/zenodo.4500971
    • Supplementary dataset 4: http://doi.org/10.5281/zenodo.4501050
    • Supplementary dataset 5: http://doi.org/10.5281/zenodo.4501147

 

Notes

S.T. and T.H. were supported by the Swiss National Science Foundation grant [315230_163423]. M.A. was supported by the RTD grant MicroscapesX within SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and RobustYeast within ERA net project via SystemsX.ch. L.M. and V.H. were supported by the Ecole Polytechnique Fédérale de Lausanne (EPFL).

Files

reducedD1Model_FBA.xml

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Additional details

Funding

Swiss National Science Foundation
Computational Methods for modeling and analysis of large-scale metabolic networks 315230_163423