| Literature DB >> 26762852 |
Settu Sridhar1, Pallabini Dash2, Kunchur Guruprasad3.
Abstract
Tuberculosis, one of the major infectious diseases affecting human beings is caused by the bacillus Mycobacterium tuberculosis. Increased resistance to known drugs commonly used for the treatment of tuberculosis has created an urgent need to identify new targets for validation and to develop drugs. In this study, we have used various bioinformatics tools, to compare the protein sequences from twenty-three M. tuberculosis genome strains along with the known human protein sequences, in order to identify the 'conserved' M. tuberculosis proteins absent in human. Further, based on the analysis of protein interaction networks, we selected one-hundred and forty proteins that were predicted as potential M. tuberculosis drug targets and prioritized according to the ranking of 'clusters' of interacting proteins. Comparison of the predicted 140 TB targets with literature indicated that 46 of them were previously reported, thereby increasing the confidence in our predictions of the remaining 94 targets too. The analyses of the structures and functions corresponding to the predicted potential TB drug targets indicated a diverse range of proteins that included ten 'druggable' targets with some of the known drugs.Entities:
Keywords: Amino acid sequence; Communicable diseases; Computational biology; Humans; Protein interaction maps; Tuberculosis
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Year: 2016 PMID: 26762852 DOI: 10.1016/j.gene.2015.12.054
Source DB: PubMed Journal: Gene ISSN: 0378-1119 Impact factor: 3.688