Metabolic modeling predicts metabolite changes in Mycobacterium tuberculosis.

ABSTRACT:

Background

Mycobacterium tuberculosis (MTB) is the causal agent of the disease tuberculosis (TB). Metabolic adaptations are thought to be critical to the survival of MTB during pathogenesis. Computational tools that can be used to study MTB metabolism in silico and prioritize resource-intensive experimental work could significantly accelerate research.

Results

We have developed E-Flux-MFC, an enhancement of our original E-Flux method that enables the prediction of changes in the production of external and internal metabolites corresponding to gene expression measurements. We have used this method to simulate the changes in the metabolic state of Mycobacterium tuberculosis (MTB). We have validated the accuracy of E-Flux-MFC for predicting changes in lipids and metabolites dur

SUBMITTER: Garay CD 

PROVIDER: S-EPMC4574064 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature