GSMN-TB: a web-based genome-scale network model of Mycobacterium tuberculosis metabolism.

ABSTRACT:

Background

An impediment to the rational development of novel drugs against tuberculosis (TB) is a general paucity of knowledge concerning the metabolism of Mycobacterium tuberculosis, particularly during infection. Constraint-based modeling provides a novel approach to investigating microbial metabolism but has not yet been applied to genome-scale modeling of M. tuberculosis.

Results

GSMN-TB, a genome-scale metabolic model of M. tuberculosis, was constructed, consisting of 849 unique reactions and 739 metabolites, and involving 726 genes. The model was calibrated by growing Mycobacterium bovis bacille Calmette Guérin in continuous culture and steady-state growth parameters were measured. Flux balance analysis was used to calculate substrate consumption rates, which were sho

SUBMITTER: Beste DJ 

PROVIDER: S-EPMC1929162 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature