2023
DOI: 10.1093/bib/bbad047
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Dockey: a modern integrated tool for large-scale molecular docking and virtual screening

Abstract: Molecular docking is a structure-based and computer-aided drug design approach that plays a pivotal role in drug discovery and pharmaceutical research. AutoDock is the most widely used molecular docking tool for study of protein–ligand interactions and virtual screening. Although many tools have been developed to streamline and automate the AutoDock docking pipeline, some of them still use outdated graphical user interfaces and have not been updated for a long time. Meanwhile, some of them lack cross-platform … Show more

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Cited by 16 publications
(6 citation statements)
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“…Subsequently, we evaluated the structural disparities among the LasR mutant models to pinpoint unique features associated with each variant. Following model generation, we conducted molecular docking experiments with Dockey v0.8.2 (Du et al, 2023 ). Twenty docking runs were performed for each LasR mutant with self-inducing ligands to evaluate differences in binding free energies and interaction sites.…”
Section: Methodsmentioning
confidence: 99%
“…Subsequently, we evaluated the structural disparities among the LasR mutant models to pinpoint unique features associated with each variant. Following model generation, we conducted molecular docking experiments with Dockey v0.8.2 (Du et al, 2023 ). Twenty docking runs were performed for each LasR mutant with self-inducing ligands to evaluate differences in binding free energies and interaction sites.…”
Section: Methodsmentioning
confidence: 99%
“…Molecular docking was performed by using AutoDock 4 and Dockey, following standard protocols (Du et al 2023 ). The crystal structure of LasR (PDB ID: 3IX3) and PqsR (PDB ID:6B8A) was downloaded from the RCSB PDB ( https://www.rcsb.org/ ).…”
Section: Methodsmentioning
confidence: 99%
“…Available tools are Auto Dock, Dockey, Openeye, Mosoft, etc. ( 94 ). Gromacs and VMD are also used in molecular dynamics simulation ( 95 ).…”
Section: Development Of Computational Biology For Sars-cov-2 Inhibito...mentioning
confidence: 99%