TarPred: a web application for predicting therapeutic and side effect targets of chemical compounds | Zendy

Xian Liu | Zendy; Yuan Gao | Zendy; Jianlong Peng | Zendy; Yuan Xu | Zendy; Yulan Wang | Zendy; Nannan Zhou | Zendy; Jing Xing | Zendy; Xiaomin Luo | Zendy; Hualiang Jiang | Zendy; Mingyue Zheng | Zendy

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TarPred: a web application for predicting therapeutic and side effect targets of chemical compounds

Author(s) -

Xian Liu,

Yuan Gao,

Jianlong Peng,

Yuan Xu,

Yulan Wang,

Nannan Zhou,

Jing Xing,

Xiaomin Luo,

Hualiang Jiang,

Mingyue Zheng

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv099

Subject(s) - computer science , side effect (computer science) , computational biology , chemistry , biology , programming language

Discovering the relevant therapeutic targets for drug-like molecules, or their unintended 'off-targets' that predict adverse drug reactions, is a daunting task by experimental approaches alone. There is thus a high demand to develop computational methods capable of detecting these potential interacting targets efficiently.

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