Classification of Src kinase inhibitors based on support vector machine

QSAR and Combinatorial Science

Volumn 28, Issue 6-7, 2009, Pages 719-727

  Zhu, Jinxiu ^a   Lu, Wencong ^a   Liu, Liang ^a   Gu, Tianhong ^a   Niu, Bing ^a  

^a SHANGHAI UNIVERSITY   (China)

Author keywords

Feature selection; Maximum relevance minimum redundancy method (mRMR); Medicinal chemistry; PM3; Sequential backward selection (SBS); Sequential forward selection (SFS); Src kinase inhibitors; Structure activity relationship; Support vector classification (SVC); Support vector machine (SVM)

Indexed keywords

CORROSION INHIBITORS; REDUNDANCY; STATISTICAL METHODS; SUPPORT VECTOR MACHINES; VECTORS;

FEATURES SELECTION; KINASE INHIBITORS; MAXIMUM RELEVANCE MINIMUM REDUNDANCIES; MAXIMUM RELEVANCE MINIMUM REDUNDANCY METHOD; MEDICINAL CHEMISTRY; PM3; SEQUENTIAL BACKWARD SELECTION; SEQUENTIAL FORWARD SELECTION; SRC KINASE INHIBITOR; SRC-KINASE; STRUCTURE-ACTIVITY RELATIONSHIPS; SUPPORT VECTOR CLASSIFICATION; SUPPORT VECTOR MACHINE; SUPPORT VECTORS MACHINE;

FEATURE SELECTION;

PROTEIN TYROSINE KINASE INHIBITOR;

ACCURACY; ARTICLE; DRUG CLASSIFICATION; DRUG STRUCTURE; ENZYME INHIBITION; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REDUNDANCY ANALYSIS; RELIABILITY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

EID: 67949091195     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200860105     Document Type: Article

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