Multiple-docking and affinity fingerprint methods for protein classification and inhibitors selection

Journal of Chemical Information and Modeling

Volumn 49, Issue 7, 2009, Pages 1725-1733

  Li, Bo ^c   Liu, Zhenming ^a,b   Zhang, Liangren ^a   Zhang, Lihe ^a  

^a PEKING UNIVERSITY   (China)

^b PEKING UNIVERSITY HEALTH SCIENCE CENTER   (China)

^c PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

LIGANDS; MATRIX ALGEBRA; PLANTS (BOTANY);

BINDING CHARACTERISTICS; CLUSTER ALGORITHMS; FUNCTIONAL RELATIONSHIP; MULTI-DIMENSIONAL SCALING; PROTEIN CLASSIFICATION; PROTEIN-LIGAND INTERACTIONS; SELECTIVE INHIBITORS; STRUCTURE-BASED DESIGNS;

PROTEINS;

LIGAND; PHOSPHOLIPASE A2;

ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; CHEMICAL STRUCTURE; CHEMISTRY; CLUSTER ANALYSIS; DRUG ANTAGONISM; ENZYME SPECIFICITY; HUMAN; METABOLISM; PRINCIPAL COMPONENT ANALYSIS; PROTEIN BINDING; X RAY CRYSTALLOGRAPHY;

ANIMALS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; CRYSTALLOGRAPHY, X-RAY; HUMANS; LIGANDS; MODELS, MOLECULAR; PHOSPHOLIPASES A2; PRINCIPAL COMPONENT ANALYSIS; PROTEIN BINDING; SUBSTRATE SPECIFICITY;

EID: 68149156019     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci900044j     Document Type: Article

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