Using kinetic modelling to infer adaptations in saccharomyces cerevisiae carbohydrate storage metabolism to dynamic substrate conditions

HIGHLIGHTS

  • who: David Lao-Martil and colleagues from the Department of Biomedical Engineering, Eindhoven University of Technology, Groene Loper, AE Eindhoven, The Netherlands have published the research: Using Kinetic Modelling to Infer Adaptations in Saccharomyces cerevisiae Carbohydrate Storage Metabolism to Dynamic Substrate Conditions, in the Journal: Metabolites 2023, 13, 88. of /2023/
  • what: The authors aimed at validating the model by implementing individual mass balances for each labelled metabolite (carbon structures) in the network.
  • how: The following modifications were made to represent the complexity of carbon storage metabolism seen in the data and adapt . . .

     

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