Prediction of compounds with specific pharmacodynamic, pharmacokinetic or toxicological property by statistical learning methods

Mini-Reviews in Medicinal Chemistry

Volumn 6, Issue 4, 2006, Pages 449-459

  Yap, C W ^a   Xue, Y ^b   Li, H ^a   Li, Z R ^a,b   Ung, C Y ^a   Han, L Y ^a   Zheng, C J ^a   Cao, Z W ^c   Chen, Y Z ^a,c  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SICHUAN UNIVERSITY   (China)

^c SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

Author keywords

Molecular descriptors; Pharmacodynamic; Pharmacokinetic; QSAR; QSPR; Statistical learning methods; Structural diversity; Toxicology

Indexed keywords

ALLOPURINOL; BENZODIAZEPINE RECEPTOR AFFECTING AGENT; CARBIDOPA; CEPHALOSPORIN DERIVATIVE; CHLORPHENIRAMINE; CYCLOOXYGENASE 2 INHIBITOR; CYTOCHROME P450 INHIBITOR; DIHYDROFOLATE REDUCTASE INHIBITOR; INDINAVIR; LIGAND; LOSARTAN; PENICILLIN DERIVATIVE; QUINOLINE DERIVED ANTIINFECTIVE AGENT; RALTITREXED; YOHIMBINE;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DECISION THEORY; DISCRIMINANT ANALYSIS; DRUG CLASSIFICATION; DRUG SAFETY; DRUG STRUCTURE; LEARNING; LINEAR SYSTEM; LOGISTIC REGRESSION ANALYSIS; MACHINE; MATHEMATICAL COMPUTING; PHARMACODYNAMICS; PHYSICAL CHEMISTRY; PREDICTION; PROBABILITY; QUANTITATIVE ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS; REVIEW; STATISTICAL ANALYSIS;

PHARMACOKINETICS; PHARMACOLOGY; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TOXICOLOGY;

EID: 33646546925     PISSN: 13895575     EISSN: None     Source Type: Journal    
DOI: 10.2174/138955706776361501     Document Type: Review

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