Robust Analysis of Fluxes in Genome-Scale Metabolic Pathways.

ABSTRACT: Constraint-based optimization, such as flux balance analysis (FBA), has become a standard systems-biology computational method to study cellular metabolisms that are assumed to be in a steady state of optimal growth. The methods are based on optimization while assuming (i) equilibrium of a linear system of ordinary differential equations, and (ii) deterministic data. However, the steady-state assumption is biologically imperfect, and several key stoichiometric coefficients are experimentally inferred from situations of inherent variation. We propose an approach that explicitly acknowledges heterogeneity and conducts a robust analysis of metabolic pathways (RAMP). The basic assumption of steady state is relaxed, and we model the innate heterogeneity of cells probabilistically. Our mathemati

SUBMITTER: MacGillivray M 

PROVIDER: S-EPMC5427939 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature