Computational drug target and toxicity analysis among hypothetical proteins of mycobacterium tuberculosis H37RV strain

Mycobacterium tuberculosis is a non-motile, rod-shaped, obligate aerobe belonging to the family of Mycobacteriaceae causes tuberculosis which affects the lungs. With the hypothetical proteins of the strains and limited understanding of virulence and pathogenicity of the organism, we need to expand our knowledge more on protein structures of the H37Rv strain. In this study fifty randomly selected hypothetical proteins of Mycobacterium tuberculosis, H37Rv were downloaded from the Uniprot database and drug target was identified using subtractive genomics approach. From the computational annotation, four drug targets were identified out of fifty randomly selected hypothetical proteins. From functional prediction four-drug targets, first drug target has Cyclic nucleotide-binding domain [P9WM61], second predicted target belong to family of haloacid dehalogenase-like [HAD] hydrolases [P9WMV3], third predicted containing GHMP kinases [O53637] domain and fourth predicted target belong to family tetracycline [O53641]. This study will be useful to design new potential drugs against this infectious disease