Drug Targets Prediction of Mycobacterium tuberculosis H37Rv Using In Silico Genome Analysis
Abhilash Abhilash, Rajendra Prasad Mahapatra
Abstract
Mycobacterium tuberculosis, the causal agent of tuberculosis, is a major global health concern. The most widely studied strain for understanding the mechanism of drug resistance is H37Rv. To identify possible therapeutic targets, in silico analyses of Mycobacterium tuberculosis H37Rv genome were carried out. The genome sequence was downloaded from the website of NCBI (National Center for Biotechnology Information). To identify essential genes, the DEG (Database of Essential Genes) was consulted. Additionally, homology searches with the human genome were conducted using BLASTX. Out of a total of 3924 genes, 594 were determined to be essential for Mycobacterium tuberculosis, of which 366 had no sequence similarity to the human genome. Out of 366 genes, 242 potential drug targets have been found after being screened for fictitious and unidentified genes.
MeSH terms
- In silico
- Mycobacterium tuberculosis
- Drug
- Computational biology
- Genome
- Tuberculosis
- Biology