A computational approach to botanical drug design by modeling quantitative composition-activity relationship

Chemical Biology and Drug Design

Volumn 68, Issue 3, 2006, Pages 166-172

  Wang, Yi ^a   Wang, Xuewei ^a   Cheng, Yiyu ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Natural product; Neural network; Quantitative composition activity relationship; Rational drug design; Support vector regression

Indexed keywords

CARTHAMUS TINCTORIUS EXTRACT; CHINESE DRUG; CHOLESTEROL; LIGUSTICUM CHUANXIONG EXTRACT; QI XUE BING ZHI FANG; RADICES PAEONIAE EXTRACT; UNCLASSIFIED DRUG;

ANIMAL EXPERIMENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHINESE MEDICINE; CONTROLLED STUDY; DRUG ACTIVITY; DRUG DESIGN; HERBAL MEDICINE; MALE; MATHEMATICAL COMPUTING; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RAT;

ALGORITHMS; ANTICHOLESTEREMIC AGENTS; DRUG DESIGN; DRUGS, CHINESE HERBAL; MEDICINE, HERBAL; PLANT PREPARATIONS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 33750363375     PISSN: 17470277     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1747-0285.2006.00431.x     Document Type: Article

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