Classification of blood-brain barrier permeation by Kohonen's self-organizing neural network (KohNN) and support vector machine (SVM)

QSAR and Combinatorial Science

Volumn 28, Issue 9, 2009, Pages 989-994

  Wang, Zhi ^a   Yan, Aixia ^a   Yuan, Qipeng ^a  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Blood brain barrier (BBB); Drug design; Kohonen's self organizing neural network (KohNN); Medicinal chemistry; Support vector machine (SVM)

Indexed keywords

BLOOD; NEURAL NETWORKS;

BLOOD-BRAIN BARRIER; DRUG DESIGN; KOHONEN SELF-ORGANIZING NEURAL NETWORK; KOHONEN'S SELF-ORGANIZING NEURAL NETWORKS; MEDICINAL CHEMISTRY; NEURAL NETWORK AND SUPPORT VECTOR MACHINES; NEURAL NETWORK METHOD; SUPPORT VECTOR MACHINE; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD BRAIN BARRIER; CHEMICAL STRUCTURE; CONTROLLED STUDY; CORRELATION COEFFICIENT; HYDROGEN BOND; KOHONEN SELF ORGANIZING NEURAL NETWORK; LEARNING THEORY; MEMBRANE PERMEABILITY; MOLECULAR BIOLOGY; MOLECULAR WEIGHT; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

EID: 70449389960     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200960008     Document Type: Article

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