title: Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM).
authors.affiliation: Department of Bioscience and Bioinformatics, Kyushu Institute of Technology (KIT), 680-4 Kawazu, Iizuka, 820-8502, Japan. michael_llamosa@yahoo.com
authors.forename: Michael
authors.initials: M
authors.lastname: Fernandez
authors.forename: Julio
authors.initials: J
authors.lastname: Caballero
authors.forename: Leyden
authors.initials: L
authors.lastname: Fernandez
authors.forename: Akinori
authors.initials: A
authors.lastname: Sarai
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D015195:Drug Design; D005823:Genetics; D006801:Humans; D016571:Neural Networks, Computer; D021281:Quantitative Structure-Activity Relationship