Integrated Modeling of Gene Regulatory and Metabolic Networks in Mycobacterium tuberculosis.

ABSTRACT: Mycobacterium tuberculosis (MTB) is the causative bacterium of tuberculosis, a disease responsible for over a million deaths worldwide annually with a growing number of strains resistant to antibiotics. The development of better therapeutics would greatly benefit from improved understanding of the mechanisms associated with MTB responses to different genetic and environmental perturbations. Therefore, we expanded a genome-scale regulatory-metabolic model for MTB using the Probabilistic Regulation of Metabolism (PROM) framework. Our model, MTBPROM2.0, represents a substantial knowledge base update and extension of simulation capability. We incorporated a recent ChIP-seq based binding network of 2555 interactions linking to 104 transcription factors (TFs) (representing a 3.5-fold expansion o

SUBMITTER: Ma S 

PROVIDER: S-EPMC4664399 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature