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Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking

Journal of Medicinal Chemistry · 2012 · Vol. 55(14) · pp. 6582–6594
Michael M. MysingerMichael CarchiaJohn J. IrwinBrian K. Shoichet

Abstract

A key metric to assess molecular docking remains ligand enrichment against challenging decoys. Whereas the directory of useful decoys (DUD) has been widely used, clear areas for optimization have emerged. Here we describe an improved benchmarking set that includes more diverse targets such as GPCRs and ion channels, totaling 102 proteins with 22886 clustered ligands drawn from ChEMBL, each with 50 property-matched decoys drawn from ZINC. To ensure chemotype diversity, we cluster each target's ligands by their Bemis-Murcko atomic frameworks. We add net charge to the matched physicochemical properties and include only the most dissimilar decoys, by topology, from the ligands. An online automated tool (http://decoys.docking.org) generates these improved matched decoys for user-supplied ligands. We test this data set by docking all 102 targets, using the results to improve the balance between ligand desolvation and electrostatics in DOCK 3.6. The complete DUD-E benchmarking set is freely available at http://dude.docking.org.

Computational Drug Discovery MethodsProtein Structure and DynamicsMachine Learning in Materials ScienceBenchmarkingDocking (animal)DOCKChemical spacechEMBLVirtual screeningComputer scienceChemistryData miningDrug discovery

MeSH terms

HumansLigandsModels, MolecularProtein BindingProtein ConformationProteinsReference StandardsCluster AnalysisBenchmarkingDrug Discovery

Funding

  • National Institutes of Health
Citations
2,340
FWCI
52.99
field-weighted impact
References
54
Percentile
100%
vs. same field & year
Citations per year
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Journal of Medicinal Chemistry · 2006 · 1,311 citations
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