Bayesian metabolic flux analysis reveals intracellular flux couplings.

ABSTRACT:

Motivation

Metabolic flux balance analysis (FBA) is a standard tool in analyzing metabolic reaction rates compatible with measurements, steady-state and the metabolic reaction network stoichiometry. Flux analysis methods commonly place model assumptions on fluxes due to the convenience of formulating the problem as a linear programing model, while many methods do not consider the inherent uncertainty in flux estimates.

Results

We introduce a novel paradigm of Bayesian metabolic flux analysis that models the reactions of the whole genome-scale cellular system in probabilistic terms, and can infer the full flux vector distribution of genome-scale metabolic systems based on exchange and intracellular (e.g. 13C) flux measurements, steady-state assumptions, and objective function

SUBMITTER: Heinonen M 

PROVIDER: S-EPMC6612884 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature