Drug design by machine learning: Support vector machines for pharmaceutical data analysis

Computers and Chemistry

Volumn 26, Issue 1, 2001, Pages 5-14

  Burbidge, R ^a   Trotter, M ^a   Buxton, B ^a   Holden, S ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Cheminformatics; Machine learning; Model selection; Structure activity relationship analysis; Support vector machines

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; CLINICAL PHARMACOLOGY; DRUG DESIGN; FACTUAL DATABASE; HUMAN; INFORMATION PROCESSING; METHODOLOGY; REVIEW; STRUCTURE ACTIVITY RELATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATIC DATA PROCESSING; DATABASES, FACTUAL; DRUG DESIGN; HUMAN; PHARMACOLOGY, CLINICAL; STRUCTURE-ACTIVITY RELATIONSHIP; SUPPORT, NON-U.S. GOV'T;

ALGORITHMS; DATA REDUCTION; DECISION THEORY; LEARNING SYSTEMS; RADIAL BASIS FUNCTION NETWORKS;

SUPPORT VECTOR MACHINES (SVM);

DRUG PRODUCTS;

EID: 0034740222     PISSN: 00978485     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0097-8485(01)00094-8     Document Type: Article

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