Genome-level transcription data of Yersinia pestis analyzed with a new metabolic constraint-based approach.

ABSTRACT:

Background

Constraint-based computational approaches, such as flux balance analysis (FBA), have proven successful in modeling genome-level metabolic behavior for conditions where a set of simple cellular objectives can be clearly articulated. Recently, the necessity to expand the current range of constraint-based methods to incorporate high-throughput experimental data has been acknowledged by the proposal of several methods. However, these methods have rarely been used to address cellular metabolic responses to some relevant perturbations such as antimicrobial or temperature-induced stress. Here, we present a new method for combining gene-expression data with FBA (GX-FBA) that allows modeling of genome-level metabolic response to a broad range of environmental perturbations within

SUBMITTER: Navid A 

PROVIDER: S-EPMC3572438 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature