High-throughput ligand screening via preclustering and evolved neural networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 4, Issue 3, 2007, Pages 476-484

  Hecht, David ^a   Fogel, Gary B ^b  

^a Southwestern College   (United States)

^b NATURAL SELECTION INC   (United States)

Author keywords

Artificial neural networks; Computational intelligence; Evolutionary computation; Medicine and science

Indexed keywords

COST EFFECTIVENESS; EVOLUTIONARY ALGORITHMS; LEAD COMPOUNDS; LIGANDS; MATHEMATICAL MODELS; OPTIMIZATION;

PRECLUSTERING; SEARCH EFFICIENCY; SEARCH SPACE;

NEURAL NETWORKS;

HUMAN IMMUNODEFICIENCY VIRUS;

ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT; LIGAND;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CHEMICAL MODEL; CHEMISTRY; CLASSIFICATION; CLUSTER ANALYSIS; COMBINATORIAL CHEMISTRY; COMPUTER SIMULATION; DRUG DESIGN; METHODOLOGY; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

ANTI-HIV AGENTS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMBINATORIAL CHEMISTRY TECHNIQUES; COMPUTER SIMULATION; DRUG DESIGN; LIGANDS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 34547963127     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2007.1038     Document Type: Article

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