Prediction of ligand binding using an approach designed to accommodate diversity in protein-ligand interactions

PLoS ONE

Volumn 6, Issue 8, 2011, Pages

  Marsh, Lorraine ^a  

^a LONG ISLAND UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BINDING AFFINITY; BINDING SITE; CLASSIFICATION; COMPLEX FORMATION; CONFORMATIONAL TRANSITION; CONTROLLED STUDY; DRUG SCREENING; INTERNAL CONSENSUS SCORING; LIGAND BINDING; MOLECULAR DOCKING; PREDICTION; PROTEIN INTERACTION; PROTEIN LIGAND INTERACTION; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL ANALYSIS; VIRTUAL REALITY; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER INTERFACE; HUMAN; METABOLISM; METHODOLOGY; PROTEIN BINDING; PROTEIN CONFORMATION;

LIGAND; PROTEIN;

BINDING SITES; COMPUTATIONAL BIOLOGY; DRUG EVALUATION, PRECLINICAL; HUMANS; LIGANDS; MODELS, MOLECULAR; NEURAL NETWORKS (COMPUTER); PROTEIN BINDING; PROTEIN CONFORMATION; PROTEINS; USER-COMPUTER INTERFACE;

EID: 80051530659     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0023215     Document Type: Article

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