A mathematical framework for yield (vs. rate) optimization in constraint-based modeling and applications in metabolic engineering.

ABSTRACT:

Background

The optimization of metabolic rates (as linear objective functions) represents the methodical core of flux-balance analysis techniques which have become a standard tool for the study of genome-scale metabolic models. Besides (growth and synthesis) rates, metabolic yields are key parameters for the characterization of biochemical transformation processes, especially in the context of biotechnological applications. However, yields are ratios of rates, and hence the optimization of yields (as nonlinear objective functions) under arbitrary linear constraints is not possible with current flux-balance analysis techniques. Despite the fundamental importance of yields in constraint-based modeling, a comprehensive mathematical framework for yield optimization is still missing.

SUBMITTER: Klamt S 

PROVIDER: S-EPMC5992331 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature