Estimating Metabolic Fluxes Using a Maximum Network Flexibility Paradigm.

ABSTRACT:

Motivation

Genome-scale metabolic networks can be modeled in a constraint-based fashion. Reaction stoichiometry combined with flux capacity constraints determine the space of allowable reaction rates. This space is often large and a central challenge in metabolic modeling is finding the biologically most relevant flux distributions. A widely used method is flux balance analysis (FBA), which optimizes a biologically relevant objective such as growth or ATP production. Although FBA has proven to be highly useful for predicting growth and byproduct secretion, it cannot predict the intracellular fluxes under all environmental conditions. Therefore, alternative strategies have been developed to select flux distributions that are in agreement with experimental "omics" data, or by incorpo

SUBMITTER: Megchelenbrink W 

PROVIDER: S-EPMC4601694 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature