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

被引:23
作者
Gupta, Reena [1 ]
Pradhan, Dibyabhaba [2 ]
Jain, Arun Kumar [2 ]
Rai, Chandra Shekhar [1 ]
机构
[1] Guru Gobind Singh Indraprastha Univ, Univ Sch Informat & Commun Technol, New Delhi 110078, India
[2] Indian Council Med Res, Natl Inst Pathol, Biomed Informat Ctr, New Delhi 110029, India
关键词
TiD; Essential genes; Subtractive genomic analysis; Automated target identification; COMPARATIVE GENOMICS; METABOLIC PATHWAYS; IDENTIFICATION; DATABASE; STRATEGIES; DISCOVERY; GENES; FOOD; KEGG; DEG;
D O I
10.1016/j.ygeno.2016.11.005
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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 <2 h to scan putative targets from a bacterial proteome with similar to 5000 proteins; hence, we propose it as a useful tool for rational drug design. TiD is available at http://bmicnip.in/TiD/. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:51 / 57
页数:7
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