A novel quantitative structure-activity relationship method to predict the affinities of MT3 melatonin binding site

European Journal of Medicinal Chemistry

Volumn 43, Issue 12, 2008, Pages 2861-2869

  Du, Hongying ^a   Wang, Jie ^a,b   Zhang, Xiaoyun ^a   Hu, Zhide ^a  

^a LANZHOU UNIVERSITY   (China)

^b Yale University   (United States)

Author keywords

Genetic algorithm; Grid search support vector machine; Melatonin; Projection pursuit regression; Quantitative structure activity relationship

Indexed keywords

BENZOFURAN DERIVATIVE; INDOLE; MELATONIN; MELATONIN 3 RECEPTOR; MELATONIN RECEPTOR; NAPHTHALENE; REDUCED NICOTINAMIDE ADENINE DINUCLEOTIDE (PHOSPHATE) DEHYDROGENASE (QUINONE); UNCLASSIFIED DRUG;

ACCURACY; ARTICLE; BINDING AFFINITY; BINDING SITE; GENETIC ALGORITHM; LINEAR REGRESSION ANALYSIS; NONLINEAR REGRESSION ANALYSIS; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

ALGORITHMS; BENZOFURANS; BINDING SITES; INDOLES; LIGANDS; LINEAR MODELS; MELATONIN; MODELS, CHEMICAL; MOLECULAR STRUCTURE; NAD(P)H DEHYDROGENASE (QUINONE); NAPHTHALENES; PREDICTIVE VALUE OF TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RECEPTORS, MELATONIN;

EID: 53749099859     PISSN: 02235234     EISSN: 17683254     Source Type: Journal    
DOI: 10.1016/j.ejmech.2008.02.012     Document Type: Article

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