2D Autocorrelation modeling of the negative inotropic activity of calcium entry blockers using Bayesian-regularized genetic neural networks

Bioorganic and Medicinal Chemistry

Volumn 14, Issue 10, 2006, Pages 3330-3340

  Caballero, Julio ^a   Garriga, Miguel ^a   Fernández, Michael ^a  

^a Faculty of Agronomy   (Cuba)

Author keywords

Artificial neural networks; Bayesian regularization; Genetic algorithm; Myocardial activity; QSAR

Indexed keywords

CALCIUM CHANNEL BLOCKING AGENT; DILTIAZEM DERIVATIVE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; GENETIC ALGORITHM; INOTROPISM; MULTIPLE REGRESSION; SENSITIVITY ANALYSIS;

BAYES THEOREM; CALCIUM CHANNEL BLOCKERS; COMPUTER SIMULATION; DILTIAZEM; DRUG DESIGN; MODELS, BIOLOGICAL; MYOCARDIAL CONTRACTION; NEURAL NETWORKS (COMPUTER); QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 33646488015     PISSN: 09680896     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bmc.2005.12.048     Document Type: Article

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