Computation of condition-dependent proteome allocation reveals variability in the macro and micro nutrient requirements for growth.

ABSTRACT: Sustaining a robust metabolic network requires a balanced and fully functioning proteome. In addition to amino acids, many enzymes require cofactors (coenzymes and engrafted prosthetic groups) to function properly. Extensively validated resource allocation models, such as genome-scale models of metabolism and gene expression (ME-models), have the ability to compute an optimal proteome composition underlying a metabolic phenotype, including the provision of all required cofactors. Here we apply the ME-model for Escherichia coli K-12 MG1655 to computationally examine how environmental conditions change the proteome and its accompanying cofactor usage. We found that: (1) The cofactor requirements computed by the ME-model mostly agree with the standard biomass objective function used in models

SUBMITTER: Lloyd CJ 

PROVIDER: S-EPMC8259983 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature