Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models.

ABSTRACT:

Background

Genome-wide reconstructions of metabolism opened the way to thorough investigations of cell metabolism for health care and industrial purposes. However, the predictions offered by Flux Balance Analysis (FBA) can be strongly affected by the choice of flux boundaries, with particular regard to the flux of reactions that sink nutrients into the system. To mitigate possible errors introduced by a poor selection of such boundaries, a rational approach suggests to focus the modeling efforts on the pivotal ones.

Methods

In this work, we present a methodology for the automatic identification of the key fluxes in genome-wide constraint-based models, by means of variance-based sensitivity analysis. The goal is to identify the parameters for which a small perturbation entail

SUBMITTER: Nobile MS 

PROVIDER: S-EPMC8074438 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature