Metabolic adaptation of two in silico mutants of Mycobacterium tuberculosis during infection.

ABSTRACT:

Background

Up to date, Mycobacterium tuberculosis (Mtb) remains as the worst intracellular killer pathogen. To establish infection, inside the granuloma, Mtb reprograms its metabolism to support both growth and survival, keeping a balance between catabolism, anabolism and energy supply. Mtb knockouts with the faculty of being essential on a wide range of nutritional conditions are deemed as target candidates for tuberculosis (TB) treatment. Constraint-based genome-scale modeling is considered as a promising tool for evaluating genetic and nutritional perturbations on Mtb metabolic reprogramming. Nonetheless, few in silico assessments of the effect of nutritional conditions on Mtb's vulnerability and metabolic adaptation have been carried out.

Results

A genome-scale model (GE

SUBMITTER: Lopez-Agudelo VA 

PROVIDER: S-EPMC5697012 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature