Learning from the data: Mining of large high-throughput screening databases

Journal of Chemical Information and Modeling

Volumn 46, Issue 6, 2006, Pages 2381-2395

  Yan, S Frank ^a   King, Frederick J ^a,b   He, Yun ^a   Caldwell, Jeremy S ^a   Zhou, Yingyao ^a  

^a GENOMICS INSTITUTE OF THE NOVARTIS RESEARCH FOUNDATION   (United States)

^b NOVARTIS INSTITUTES FOR BIOMEDICAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; DATABASE SYSTEMS; DRUG PRODUCTS PLANTS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; THROUGHPUT;

HIGH THROUGHPUT SCREENING (HTS); ONTOLOGY BASED PATTERN IDENTIFICATION (OPI); SCREENING DATABASES; SCREENING TECHNOLOGY;

DATA MINING;

LIGAND;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; CELL PROLIFERATION; CHEMISTRY; COMBINATORIAL CHEMISTRY; DRUG SCREENING; GENOMICS; HUMAN; INSTRUMENTATION; METHODOLOGY; PHARMACEUTICS; PROTEOMICS; REPORTER GENE;

ALGORITHMS; ANIMALS; CELL PROLIFERATION; CHEMISTRY; CHEMISTRY, PHARMACEUTICAL; COMBINATORIAL CHEMISTRY TECHNIQUES; DRUG EVALUATION; DRUG EVALUATION, PRECLINICAL; GENES, REPORTER; GENOMICS; HUMANS; LIGANDS; PATTERN RECOGNITION, AUTOMATED; PROTEOMICS; TECHNOLOGY, PHARMACEUTICAL;

EID: 33845767070     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci060102u     Document Type: Article

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