iNR-Drug: Predicting the interaction of drugs with nuclear receptors in cellular networking

International Journal of Molecular Sciences

Volumn 15, Issue 3, 2014, Pages 4915-4937

  Fan, Yue Nong ^a   Xiao, Xuan ^a,b,d   Min, Jian Liang ^a   Chou, Kuo Chen ^c,d  

^a JINGDEZHEN CERAMIC INSTITUTE   (China)

^b ZHEJIANG TEXTILE AND FASHION COLLEGE   (China)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^d GORDON LIFE SCIENCE INSTITUTE   (United States)

Author keywords

Molecular fingerprints; Nuclear receptors (NRs); Pseudo amino acid composition; Support vector machines (SVMs)

Indexed keywords

CELL NUCLEUS RECEPTOR; DRUG RECEPTOR; CELL RECEPTOR; DRUG;

ALGORITHM; AMINO ACID COMPOSITION; ARTICLE; DRUG RECEPTOR BINDING; GENE SEQUENCE; HUMAN; INDEPENDENT DATASET TEST; JACKKNIFE TEST; PREDICTION; PREDICTION QUALITY MEASURE; QUALITY CONTROL; SEQUENCE ALIGNMENT; SUPPORT VECTOR MACHINE; ANTAGONISTS AND INHIBITORS; BINDING COMPETITION; BIOLOGY; CHEMISTRY; COMPUTER AIDED DESIGN; DRUG DESIGN; DRUG EFFECTS; METABOLISM; PROCEDURES; REPRODUCIBILITY; SIGNAL TRANSDUCTION;

ALGORITHMS; BINDING, COMPETITIVE; COMPUTATIONAL BIOLOGY; COMPUTER-AIDED DESIGN; DRUG DESIGN; HUMANS; PHARMACEUTICAL PREPARATIONS; RECEPTORS, CYTOPLASMIC AND NUCLEAR; REPRODUCIBILITY OF RESULTS; SIGNAL TRANSDUCTION; SUPPORT VECTOR MACHINES;

EID: 84896470341     PISSN: 16616596     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms15034915     Document Type: Article

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