In silico log p prediction for a large data set with support vector machines, radial basis neural networks and multiple linear regression

Chemical Biology and Drug Design

Volumn 74, Issue 2, 2009, Pages 142-147

  Chen, Hai Feng ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Log P prediction; Multiple linear regression; Radial basis function neural networks; Support vector machines

Indexed keywords

ARTICLE; COMPUTER MODEL; COST BENEFIT ANALYSIS; IN VITRO STUDY; IN VIVO STUDY; MULTIPLE LINEAR REGRESSION ANALYSIS; PHYSICOCHEMICAL MODEL; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

ARTIFICIAL INTELLIGENCE; DRUG DISCOVERY; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PHARMACEUTICAL PREPARATIONS; REGRESSION ANALYSIS; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 67651249916     PISSN: 17470277     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1747-0285.2009.00840.x     Document Type: Article

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