Application of genetic algorithm-kernel partial least square as a novel nonlinear feature selection method: Activity of carbonic anhydrase II inhibitors

European Journal of Medicinal Chemistry

Volumn 42, Issue 5, 2007, Pages 649-659

  Jalali Heravi, Mehdi ^a   Kyani, Anahita ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural networks; Carbonic anhydrase II inhibitors; Genetic algorithm kernel partial least square; QSAR

Indexed keywords

AROMATIC COMPOUND; CARBONATE DEHYDRATASE II; CARBONATE DEHYDRATASE INHIBITOR; SULFONAMIDE;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL ACTIVITY; DRUG ACTIVITY; DRUG STRUCTURE; ENZYME INHIBITION; HYDROGEN BOND; KERNEL METHOD; LIPOPHILICITY; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; REGRESSION ANALYSIS; SOLUBILITY; STATISTICAL ANALYSIS; SUBSTITUTION REACTION; TECHNIQUE;

ALGORITHMS; CARBONIC ANHYDRASE II; CARBONIC ANHYDRASE INHIBITORS; HYDROGEN BONDING; LEAST-SQUARES ANALYSIS; NEURAL NETWORKS (COMPUTER); QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SOLUBILITY;

EID: 34248167086     PISSN: 02235234     EISSN: 17683254     Source Type: Journal    
DOI: 10.1016/j.ejmech.2006.12.020     Document Type: Article

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