ModelEntryID 46
    General information
      Manuscript title: Testing Biochemistry Revisited: How In Vivo Metabolism Can Be Understood from In Vitro Enzyme Kinetics
      PubMed ID: http://www.ncbi.nlm.nih.gov/pubmed/22570597
      Journal: PLoS Computational Biology
      Year: 2012
      Authors: Karen van Eunen, José A. L. Kiewiet, Hans V. Westerhoff, Barbara M. Bakker
      Affiliations: Department of Molecular Cell Physiology, VU University Amsterdam, Amsterdam, The Netherlands
      Keywords: yeast glycolysis, In Vivo and in Vitro Enzyme Kinetics, computational model
      Full text article: https://kimosys.org/rails/active_storage/blobs/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbUlFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b841a9b255fe62c24669598039740e8f230d3521/vanEunen_2012.pdf
      Project name: not specified
      Data used for: Model building and Model validation

    Model information
      Model name: vanEunen2012 - Yeast Glycolysis (glucose upshift)
      Organism: Saccharomyces cerevisiae
      Model type: ordinary differential equations
      Category: Metabolism
      Number of reactions: 17
      Number of species: 13
      Number of regulators: not specified
      Number of parameters: 88
      Number of compartments: 1
      Dilution rate (h⁻¹): andmdash;
      Model file(s) and history: https://kimosys.org/repository/111/associated_models/46/sbmls/66/download; 
      Notes: Original model source: in BioModels database.
      Software: MATLAB (MathWorks)
      Biomodels or JWS Online ID: BIOMD1403250001

    Submission and curation
      Entered by: Administrator KiMoSys
      Created: 2018-07-30 22:00:51 UTC
      Updated: 2018-07-30 22:06:01 UTC
      Version: 0
      Status: (reviewed) 2018-07-30 22:05:01 UTC
      Views: 110
      Downloads: 55