Using compound similarity and functional domain composition for prediction of drug-target interaction networks

Medicinal Chemistry

Volumn 6, Issue 6, 2010, Pages 388-395

  Chen, Lei ^a   He, Zhi Song ^b   Huang, Tao ^b,d   Cai, Yu Dong ^c  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b Chinese Academy of Sciences   (China)

^c SHANGHAI UNIVERSITY   (China)

^d SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

Author keywords

Compound similarity; Drug target interaction network; Functional domain composition; Jackknife cross validation test; Matthew's correlation coefficient; Nearest neighbor algorithm.

Indexed keywords

ENZYME; G PROTEIN COUPLED RECEPTOR; ION CHANNEL; NUCLEAR RECEPTOR COACTIVATOR 2;

ALGORITHM; ARTICLE; CONTROLLED STUDY; DATA MINING; DRUG PROTEIN BINDING; DRUG TARGETING; JACKKNIFE TEST; MACHINE LEARNING; MOLECULAR MODEL; PREDICTION; PREDICTIVE VALIDITY; PRIORITY JOURNAL;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATA MINING; DRUG DISCOVERY; ENZYMES AND COENZYMES; ION CHANNELS; RECEPTORS, CYTOPLASMIC AND NUCLEAR; RECEPTORS, OPIOID;

EID: 78650184476     PISSN: 15734064     EISSN: None     Source Type: Journal    
DOI: 10.2174/157340610793563983     Document Type: Article

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