Modeling of acetylcholinesterase inhibition by tacrine analogues using Bayesian-regularized Genetic Neural Networks and ensemble averaging

Journal of Enzyme Inhibition and Medicinal Chemistry

Volumn 21, Issue 6, 2006, Pages 647-661

  Fernández, Michael ^a   Carreiras, M Carmo ^b   Marco, José L ^c   Caballero, Julio ^a  

^a UNIVERSITY OF MATANZAS   (Cuba)

^b RESEARCH INSTITUTE FOR MEDICINES IMED ULISBOA   (Portugal)

^c INSTITUTO DE QUÍMICA ORGÁNICA GENERAL   (Spain)

Author keywords

Acetylcholinesterase inhibitors; Bayesian regularized Genetic Neural Networks; Neural network ensemble; QSAR; Self organizing maps

Indexed keywords

ACETYLCHOLINESTERASE; CHOLINESTERASE INHIBITOR; TACRINE DERIVATIVE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AVERAGING; BAYES THEOREM; CHOLINESTERASE INHIBITION; CONTROLLED STUDY; DRUG STRUCTURE; GENETIC ALGORITHM; HUMAN; IC 50; MATHEMATICAL MODEL; NONHUMAN; PREDICTION; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RELIABILITY;

ACETYLCHOLINESTERASE; ALGORITHMS; BAYES THEOREM; CHOLINESTERASE INHIBITORS; COMPUTER SIMULATION; LINEAR MODELS; MODELS, CHEMICAL; MODELS, GENETIC; NEURAL NETWORKS (COMPUTER); TACRINE;

EID: 33845769362     PISSN: 14756366     EISSN: 14756374     Source Type: Journal    
DOI: 10.1080/14756360600862366     Document Type: Article

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