Computational modeling and bioinformatic analyses of functional mutations in drug target genes in Mycobacterium tuberculosis.

ABSTRACT: Tuberculosis (TB) continues to be the leading cause of deaths due to its persistent drug resistance and the consequent ineffectiveness of anti-TB treatment. Recent years witnessed huge amount of sequencing data, revealing mutations responsible for drug resistance. However, the lack of an up-to-date repository remains a barrier towards utilization of these data and identifying major mutations-associated with resistance. Amongst all mutations, non-synonymous mutations alter the amino acid sequence of a protein and have a much greater effect on pathogenicity. Hence, this type of gene mutation is of prime interest of the present study. The purpose of this study is to develop an updated database comprising almost all reported substitutions within the Mycobacterium tuberculosis (M.tb</

SUBMITTER: Singh P 

PROVIDER: S-EPMC8113780 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature