Interplay between constraints, objectives, and optimality for genome-scale stoichiometric models.

ABSTRACT: High-throughput data generation and genome-scale stoichiometric models have greatly facilitated the comprehensive study of metabolic networks. The computation of all feasible metabolic routes with these models, given stoichiometric, thermodynamic, and steady-state constraints, provides important insights into the metabolic capacities of a cell. How the feasible metabolic routes emerge from the interplay between flux constraints, optimality objectives, and the entire metabolic network of a cell is, however, only partially understood. We show how optimal metabolic routes, resulting from flux balance analysis computations, arise out of elementary flux modes, constraints, and optimization objectives. We illustrate our findings with a genome-scale stoichiometric model of Escherichia coli metabo

SUBMITTER: Maarleveld TR 

PROVIDER: S-EPMC4388735 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature