article Open AccessTop 1% cited
AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
Journal of Computational Chemistry · 2009 · Vol. 31(2) · pp. 455–461
Oleg Trott(Scripps Research Institute)Arthur J. Olson✉(Scripps Research Institute)
Abstract
AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. Further speed-up is achieved from parallelism, by using multithreading on multicore machines. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user.
Computational Drug Discovery MethodsProtein Structure and DynamicsMachine Learning in Materials ScienceAutoDockMultithreadingComputer scienceParallel computingGridSoftwareDocking (animal)Operating systemMathematicsChemistry
MeSH terms
AlgorithmsAutomationBinding SitesHydrogen BondingLigandsSensitivity and SpecificitySoftwareSolventsThermodynamicsTime FactorsComputational BiologyMolecular Dynamics SimulationHydrophobic and Hydrophilic Interactions
Funding
- National Institutes of Health
Citations
35,688
FWCI
225.79
field-weighted impact
References
24
Percentile
100%
vs. same field & year
Citations per year
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