Predicting maximum bioactivity by effective inversion of neural networks using genetic algorithms

Chemometrics and Intelligent Laboratory Systems

Volumn 38, Issue 2, 1997, Pages 127-137

  Burden, Frank R ^a   Rosewarne, Brendan S ^a   Winkler, David A ^b  

^a MONASH UNIVERSITY   (Australia)

^b CSIRO   (Australia)

Author keywords

Activity prediction; DHFR inhibition; Drug design; Genetic algorithm; Neural network; QSAR

Indexed keywords

DIHYDROFOLATE REDUCTASE INHIBITOR;

ALGORITHM; ANIMAL CELL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; DRUG DESIGN; ENZYME INHIBITION; GENETIC ANALYSIS; LEUKEMIA L 1210; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS;

EID: 0030776024     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(97)00052-X     Document Type: Article

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