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Toward prediction of functional protein pockets using blind docking and pocket search algorithms
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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EADock: Docking of small molecules into protein active sites with a multiobjective evolutionary optimization
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Improving accuracy and efficiency of blind protein‐ligand docking by focusing on predicted binding sites
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Blind docking of drug‐sized compounds to proteins with up to a thousand residues
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High-throughput crystallography for structural genomics☆
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LIGSITE: automatic and efficient detection of potential small molecule-binding sites in proteins
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Structural and Thermodynamic Characteristics of the Exosite Binding Pocket on the Human BACE1: A Molecular Modeling Approach
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Fast prediction and visualization of protein binding pockets with PASS
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Q-fit: A probabilistic method for docking molecular fragments by sampling low energy conformational space
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High-throughput crystallography for lead discovery in drug design
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A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation
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Potentiation of α7 nicotinic acetylcholine receptors via an allosteric transmembrane site
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SITEHOUND-web: a server for ligand binding site identification in protein structures
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The Role of Medical Structural Genomics in Discovering New Drugs for Infectious Diseases
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