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• W2786495531 abstract "Predicting the geometry of protein–ligand binding complexes is of primary importance for structure-based drug discovery. Molecular dynamics (MD) is emerging as a reliable computational tool for use in conjunction with, or an alternative to, docking methods. However, simulating the protein–ligand binding process often requires very expensive simulations. This drastically limits the practical application of MD-based approaches. Here, we propose a general framework to accelerate the generation of putative protein–ligand binding modes using potential-scaled MD simulations. The proposed dynamical protocol has been applied to two pharmaceutically relevant systems (GSK-3β and the N-terminal domain of HSP90α). Our approach is fully independent of any predefined reaction coordinate (or collective variable). It identified the correct binding mode of several ligands and can thus save valuable computational time in dynamic docking simulations." @default.
• W2786495531 created "2018-02-23" @default.
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• W2786495531 date "2018-02-09" @default.
• W2786495531 modified "2023-10-06" @default.
• W2786495531 title "Fully Flexible Docking via Reaction-Coordinate-Independent Molecular Dynamics Simulations" @default.
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• W2786495531 doi "https://doi.org/10.1021/acs.jcim.7b00674" @default.
• W2786495531 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29378136" @default.
• W2786495531 hasPublicationYear "2018" @default.
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