Genetic algorithm applied to the selection of factors in principal component-artificial neural networks: Application to QSAR study of calcium channel antagonist activity of 1,4-dihydropyridines (nifedipine analogous)

Journal of Chemical Information and Computer Sciences

Volumn 43, Issue 4, 2003, Pages 1328-1334

  Hemmateenejad, Bahram ^a   Akhond, Morteza ^a   Miri, Ramin ^b   Shamsipur, Mojtaba ^c  

^a SHIRAZ UNIVERSITY   (Iran)

^b SHIRAZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c RAZI UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CALCIUM; ERROR ANALYSIS; GENETIC ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS;

NONLINEAR RELATIONSHIPS;

FEEDFORWARD NEURAL NETWORKS;

CALCIUM CHANNEL BLOCKING AGENT; DRUG DERIVATIVE; NIFEDIPINE;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; COMPARATIVE STUDY; FACTUAL DATABASE; GUINEA PIG; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANIMALS; CALCIUM CHANNEL BLOCKERS; DATABASES, FACTUAL; GUINEA PIGS; NEURAL NETWORKS (COMPUTER); NIFEDIPINE; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SENSITIVITY AND SPECIFICITY;

EID: 0042700229     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci025661p     Document Type: Article

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