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Novel Procedure for Modeling Ligand/Receptor Induced Fit Effects

Journal of Medicinal Chemistry · 2005 · Vol. 49(2) · pp. 534–553
Woody ShermanTyler DayMatthew P. JacobsonRichard A. FriesnerRamy Farid

Abstract

We present a novel protein-ligand docking method that accurately accounts for both ligand and receptor flexibility by iteratively combining rigid receptor docking (Glide) with protein structure prediction (Prime) techniques. While traditional rigid-receptor docking methods are useful when the receptor structure does not change substantially upon ligand binding, success is limited when the protein must be "induced" into the correct binding conformation for a given ligand. We provide an in-depth description of our novel methodology and present results for 21 pharmaceutically relevant examples. Traditional rigid-receptor docking for these 21 cases yields an average RMSD of 5.5 A. The average ligand RMSD for docking to a flexible receptor for the 21 pairs is 1.4 A; the RMSD is < or =1.8 A for 18 of the cases. For the three cases with RMSDs greater than 1.8 A, the core of the ligand is properly docked and all key protein/ligand interactions are captured.

Computational Drug Discovery MethodsSynthesis and Biological EvaluationClick Chemistry and ApplicationsDocking (animal)Searching the conformational space for dockingChemistryProtein–ligand dockingLigand (biochemistry)ReceptorStereochemistryMolecular modelComputational biologyProtein structure

MeSH terms

Binding SitesLigandsMathematical ComputingModels, MolecularProtein BindingProtein ConformationProteinsQuantitative Structure-Activity Relationship
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References
Improved protein–ligand docking using GOLD
Proteins Structure Function and Bioinformatics · 2003 · 3,013 citations
Evaluation of the FLEXX incremental construction algorithm for protein-ligand docking
Proteins Structure Function and Bioinformatics · 1999 · 894 citations
Comparative evaluation of eight docking tools for docking and virtual screening accuracy
Proteins Structure Function and Bioinformatics · 2004 · 567 citations
A hierarchical approach to all‐atom protein loop prediction
Proteins Structure Function and Bioinformatics · 2004 · 2,486 citations
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