Dissecting kinase profiling data to predict activity and understand cross-reactivity of kinase inhibitors

Journal of Chemical Information and Modeling

Volumn 52, Issue 4, 2012, Pages 901-912

  Niijima, Satoshi ^a   Shiraishi, Akira ^a   Okuno, Yasushi ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DISSECTION; DRUG INTERACTIONS;

ACTIVITY PREDICTIONS; CHEMOGENOMICS; CROSS REACTIVITY; DATA SET; DECONVOLUTION APPROACH; KINASE INHIBITORS; TOXIC SIDE EFFECTS;

ENZYME INHIBITION;

LIGAND; MOLECULAR LIBRARY; PROTEIN BINDING; PROTEIN KINASE; PROTEIN KINASE INHIBITOR;

ALGORITHM; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; BINDING SITE; CHEMICAL DATABASE; CHEMISTRY; CLUSTER ANALYSIS; HUMAN; MOLECULAR GENETICS; MOLECULAR LIBRARY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STRUCTURE ACTIVITY RELATION; ARTICLE; PROTEIN BINDING;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; BINDING SITES; CLUSTER ANALYSIS; DATABASES, CHEMICAL; HUMANS; LIGANDS; LIKELIHOOD FUNCTIONS; MOLECULAR SEQUENCE DATA; PROTEIN BINDING; PROTEIN KINASE INHIBITORS; PROTEIN KINASES; SENSITIVITY AND SPECIFICITY; SMALL MOLECULE LIBRARIES; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84862018569     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci200607f     Document Type: Article

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