Application of ab initio theory to QSAR study of 1,4-dihydropyridine-based calcium channel blockers using GA-MLR and PC-GA-ANN procedures

Journal of Computational Chemistry

Volumn 25, Issue 12, 2004, Pages 1495-1503

  Hemmateenejad, Bahram ^a   Safarpour, Mohammad A ^b   Miri, Ramin ^a   Taghavi, Fariba ^b  

^a SHIRAZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b PERSIAN GULF UNIVERSITY   (Iran)

Author keywords

Ab initio; Artificial neural network; Calcium channel; Dihydropyridine; Genetic algorithm; PC GA ANN; QSAR

Indexed keywords

ALGORITHMS; DERIVATIVES; ELECTRONIC PROPERTIES; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

AB INITIO; CALCIUM CHANNEL; DIHYDROPYRIDINE; PC-GA-ANN; QSAR;

QUANTUM THEORY;

1,4 DIHYDROPYRIDINE; 1,4-DIHYDROPYRIDINE; CALCIUM CHANNEL BLOCKING AGENT; DIHYDROPYRIDINE DERIVATIVE;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGY; CHEMISTRY; METHODOLOGY; PREDICTION AND FORECASTING; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL MODEL;

ALGORITHMS; CALCIUM CHANNEL BLOCKERS; COMPUTATIONAL BIOLOGY; DIHYDROPYRIDINES; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 4043078536     PISSN: 01928651     EISSN: None     Source Type: Journal    
DOI: 10.1002/jcc.20066     Document Type: Article

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