Prediction of metabolic flux distribution from gene expression data based on the flux minimization principle.

ABSTRACT: Prediction of possible flux distributions in a metabolic network provides detailed phenotypic information that links metabolism to cellular physiology. To estimate metabolic steady-state fluxes, the most common approach is to solve a set of macroscopic mass balance equations subjected to stoichiometric constraints while attempting to optimize an assumed optimal objective function. This assumption is justifiable in specific cases but may be invalid when tested across different conditions, cell populations, or other organisms. With an aim to providing a more consistent and reliable prediction of flux distributions over a wide range of conditions, in this article we propose a framework that uses the flux minimization principle to predict active metabolic pathways from mRNA expression data. Th

SUBMITTER: Song HS 

PROVIDER: S-EPMC4232356 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature