From Escherichia coli mutant 13C labeling data to a core kinetic model: A kinetic model parameterization pipeline.

ABSTRACT: Kinetic models of metabolic networks offer the promise of quantitative phenotype prediction. The mechanistic characterization of enzyme catalyzed reactions allows for tracing the effect of perturbations in metabolite concentrations and reaction fluxes in response to genetic and environmental perturbation that are beyond the scope of stoichiometric models. In this study, we develop a two-step computational pipeline for the rapid parameterization of kinetic models of metabolic networks using a curated metabolic model and available 13C-labeling distributions under multiple genetic and environmental perturbations. The first step involves the elucidation of all intracellular fluxes in a core model of E. coli containing 74 reactions and 61 metabolites using 13C-Metabolic Flux Analysis (13C-MFA).

SUBMITTER: Foster CJ 

PROVIDER: S-EPMC6759195 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature