Kernel-based data fusion improves the drug-protein interaction prediction

Computational Biology and Chemistry

Volumn 35, Issue 6, 2011, Pages 353-362

  Wang, Yong Cui ^a   Zhang, Chun Hua ^b   Deng, Nai Yang ^c   Wang, Yong ^d  

^a NORTHWEST INSTITUTE OF PLATEAU BIOLOGY   (China)

^b RENMIN UNIVERSITY OF CHINA   (China)

^c CHINA AGRICULTURAL UNIVERSITY   (China)

^d CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Chemical space; Drug target interaction; Genomic space; Kernel function; Pharmacological space; Support vector machine; Therapeutic space

Indexed keywords

CHEMICAL SPACE; DRUG-TARGET INTERACTION; GENOMIC SPACE; KERNEL FUNCTION; PHARMACOLOGICAL SPACE; THERAPEUTIC SPACE;

DATA FUSION; DATA HANDLING; FORECASTING; GENES; SUPPORT VECTOR MACHINES; TRANSCRIPTION FACTORS;

DRUG INTERACTIONS;

DRUG; PROTEIN;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CHEMISTRY; METHODOLOGY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; PATTERN RECOGNITION, AUTOMATED; PHARMACEUTICAL PREPARATIONS; PROTEINS;

EID: 80155156908     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2011.10.003     Document Type: Article

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