Protein-chemical interaction prediction via kernelized sparse learning SVM

Pacific Symposium on Biocomputing

Volumn , Issue , 2013, Pages 41-52

  Shi, Yi ^a   Zhang, Xinhua ^a   Liao, Xiaoping ^a   Lin, Guohui ^a   Schuurmans, Dale ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Drug target interaction; Kernelization; Sparse learning; SVM

Indexed keywords

FORECASTING; PROTEINS; SUPPORT VECTOR MACHINES;

DRUG-PROTEIN INTERACTIONS; DRUG-TARGET INTERACTIONS; EXPERIMENTAL DETERMINATION; EXPERIMENTAL VERIFICATION; KERNELIZATION; SPARSE LEARNING; SUPPORT VECTOR MACHINE (SVMS); SUPPORT VECTOR MACHINE CLASSIFIERS;

DRUG INTERACTIONS;

LIGAND; PROTEIN; PROTEIN BINDING;

BINDING SITE; BIOLOGY; CHEMISTRY; COMPUTER SIMULATION; DRUG DATABASE; DRUG DEVELOPMENT; DRUG EFFECTS; HUMAN; METABOLISM; PROCEDURES; PROTEIN CONFORMATION; PROTEIN DATABASE; STATISTICS AND NUMERICAL DATA; SUPPORT VECTOR MACHINE; ARTICLE; DRUG EFFECT; METHODOLOGY; PROTEIN BINDING; STATISTICS;

BINDING SITES; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, PHARMACEUTICAL; DATABASES, PROTEIN; DRUG DISCOVERY; HUMANS; LIGANDS; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEINS; SUPPORT VECTOR MACHINES;

EID: 84891401823     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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