In silico co-factor balance estimation using constraint-based modelling informs metabolic engineering in Escherichia coli.

ABSTRACT: In the growing field of metabolic engineering, where cells are treated as 'factories' that synthesize industrial compounds, it is essential to consider the ability of the cells' native metabolism to accommodate the demands of synthetic pathways, as these pathways will alter the homeostasis of cellular energy and electron metabolism. From the breakdown of substrate, microorganisms activate and reduce key co-factors such as ATP and NAD(P)H, which subsequently need to be hydrolysed and oxidized, respectively, in order to restore cellular balance. A balanced supply and consumption of such co-factors, here termed co-factor balance, will influence biotechnological performance. To aid the strain selection and design process, we used stoichiometric modelling (FBA, pFBA, FVA and MOMA) and the Esche

SUBMITTER: de Arroyo Garcia L 

PROVIDER: S-EPMC7440669 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature