Chemoinformatics-based classification of prohibited substances employed for doping in sport

Journal of Chemical Information and Modeling

Volumn 46, Issue 6, 2006, Pages 2369-2380

  Cannon, Edward O ^a   Bender, Andreas ^a,b   Palmer, David S ^a   Mitchell, John B O ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b NOVARTIS INSTITUTES FOR BIOMEDICAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CORRELATION METHODS; DATABASE SYSTEMS; DOPING (ADDITIVES); MOLECULAR STRUCTURE; RANDOM PROCESSES;

CHEMOINFORMATICS; FINGERPRINTS; K-NEAREST NEIGHBORS (KNN); RANDOM FOREST CLASSIFICATION;

INFORMATION ANALYSIS;

PEPTIDE; STEROID;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CHEMICAL MODEL; CHEMISTRY; COMPUTER LANGUAGE; COMPUTER PROGRAM; DOPING; FACTUAL DATABASE; HUMAN; INFORMATION SCIENCE; METHODOLOGY; PHARMACEUTICS; SUBSTANCE ABUSE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CHEMISTRY, PHARMACEUTICAL; DATABASES, FACTUAL; DOPING IN SPORTS; HUMANS; INFORMATICS; MODELS, CHEMICAL; PEPTIDES; PROGRAMMING LANGUAGES; SOFTWARE; STEROIDS; SUBSTANCE ABUSE DETECTION; TECHNOLOGY, PHARMACEUTICAL;

EID: 33845782504     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci0601160     Document Type: Article

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