Prediction of biological targets for compounds using multiple-category bayesian models trained on chemogenomics databases

Journal of Chemical Information and Modeling

Volumn 46, Issue 3, 2006, Pages 1124-1133

  Nidhi, ^a   Glick, Meir ^b   Davies, John W ^b   Jenkins, Jeremy L ^b  

^a INDIANA UNIVERSITY   (United States)

^b NOVARTIS INSTITUTES FOR BIOMEDICAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ANALYSIS; DATABASE SYSTEMS; GENETIC ENGINEERING; LAPLACE TRANSFORMS; MATHEMATICAL MODELS; STRUCTURE (COMPOSITION);

CHEMOGENOMICS; EXTENDED-CONNECTIVITY FINGERPRINTS; POTENTIAL TARGETS; TARGET IDENTIFICATION;

IDENTIFICATION (CONTROL SYSTEMS);

ARTICLE; BAYES THEOREM; DATA BASE; DRUG DESIGN; GENOMICS;

BAYES THEOREM; DATABASE MANAGEMENT SYSTEMS; DRUG DESIGN; GENOMICS;

EID: 33745391215     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci060003g     Document Type: Article

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