Application of Predictive QSAR Models to Database Mining: Identification and Experimental Validation of Novel Anticonvulsant Compounds

Journal of Medicinal Chemistry

Volumn 47, Issue 9, 2004, Pages 2356-2364

  Shen, Min ^a   Béguin, Cécile ^b   Golbraikh, Alexander ^a   Stables, James P ^c   Kohn, Harold ^a   Tropsha, Alexander ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b University of Houston   (United States)

^c NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; ANTICONVULSIVE AGENT;

ARTICLE; CHEMICAL MODEL; CHEMICAL MODIFICATION; DATA BASE; DRUG ACTIVITY; EPILEPSY; MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; VALIDATION PROCESS;

AMIDES; ANIMALS; ANTICONVULSANTS; DATABASES, FACTUAL; MICE; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; STEREOISOMERISM;

EID: 11144354205     PISSN: 00222623     EISSN: None     Source Type: Journal    
DOI: 10.1021/jm030584q     Document Type: Article

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