This effort describes the development of k-ecoli457 (k stands for kinetic, 457 is the total of reactions accounted for) a near genome-scale kinetic model of Escherichia coli (E. coli) metabolism. Model k-ecoli457 was parameterized using metabolic flux data for both wild-type E. coli and 25 mutant strains. These data managed to train the model to predict metabolic changes in response to genetic interventions. k-ecoli457 provides guidelines for developing predictive kinetic models at a genome-scale that can recapitulate the effect of multiple genetic interventions or growth mode changes. The approach described here provides a roadmap for developing a single model to predict with fidelity genetic and environmentally perturbed phenotypes. This could eventually be transformative in our ability to reliably design novel overproducing microbial strains.
Khodayari A., Maranas C.D. (2016), "A genome-scale Escherichia coli kinetic metabolic model k-ecoli457 satisfying flux data for multiple mutant strains.", Nature Communications, 7, 13806. doi: 10.1038/ncomms13806. PMID: 27996047
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