TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR models

Journal of Computer-Aided Molecular Design

Volumn 30, Issue 5, 2016, Pages 413-424

  Yao, Zhi Jiang ^a   Dong, Jie ^a   Che, Yu Jing ^a   Zhu, Min Feng ^a   Wen, Ming ^a   Wang, Ning Ning ^a   Wang, Shan ^a   Lu, Ai Ping ^b   Cao, Dong Sheng ^a,b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

Drug target interaction; Multi target SAR; Na ve Bayes; SAR models; Web server

Indexed keywords

BAYESIAN NETWORKS; DRUG INTERACTIONS; FORECASTING; PROTEINS; TENSORS; WEB SERVICES;

DRUG MODE OF ACTIONS; DRUG-DRUG INTERACTIONS; DRUG-TARGET INTERACTIONS; HUMAN PROTEINS; MULTI-TARGET SAR; MULTI-TARGETS; NAIVE BAYES; POTENTIAL DRUG TARGETS; SAR MODEL; WEB SERVERS;

MOLECULES;

AREA UNDER THE CURVE; ARTICLE; BAYESIAN LEARNING; CHEMICAL STRUCTURE; COMPUTER MODEL; DRUG TARGETING; HUMAN; MACHINE LEARNING; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; STRUCTURE ACTIVITY RELATION; WEB BROWSER; ADVERSE DRUG REACTION; ALGORITHM; BAYES THEOREM; CHEMISTRY; DRUG DEVELOPMENT; DRUG INTERACTION; INTERNET; METABOLISM; SOFTWARE; THEORETICAL MODEL;

DRUG; PROTEIN; PROTEIN BINDING;

ALGORITHMS; BAYES THEOREM; DRUG DISCOVERY; DRUG INTERACTIONS; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; HUMANS; INTERNET; MODELS, THEORETICAL; PHARMACEUTICAL PREPARATIONS; PROTEIN BINDING; PROTEINS; SOFTWARE;

EID: 84966715280     PISSN: 0920654X     EISSN: 15734951     Source Type: Journal    
DOI: 10.1007/s10822-016-9915-2     Document Type: Article

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