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. 2017 Jan;109(1):51-57.
doi: 10.1016/j.ygeno.2016.11.005. Epub 2016 Nov 14.

TiD: Standalone software for mining putative drug targets from bacterial proteome

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Free article

TiD: Standalone software for mining putative drug targets from bacterial proteome

Reena Gupta et al. Genomics. 2017 Jan.
Free article

Abstract

TiD is a standalone application, which relies on basic assumption that a protein must be essential for pathogens survival and non-homologous with host to qualify as putative target. With an input bacterial proteome, TiD removes paralogous proteins, picks essential ones, and excludes proteins homologous with host organisms. The targets illustrate non-homology with at least 40 out of 84 gut microbes, considered safe for human. TiD classifies proposed targets as known, novel and virulent. Users can perform pathway analysis, choke point analysis, interactome analysis, subcellular localization and functional annotations through web servers cross-referenced with the application. Drug targets identified by TiD for Listeria monocytogenes, Bacillus anthracis and Pseudomonas aeruginosa have revealed significant overlaps with previous studies. TiD takes <2h to scan putative targets from a bacterial proteome with ~5000 proteins; hence, we propose it as a useful tool for rational drug design. TiD is available at http://bmicnip.in/TiD/.

Keywords: Automated target identification; Essential genes; Subtractive genomic analysis; TiD.

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