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

Michael M. Mysinger, Michael Carchia, John J. Irwin, Brian K. Shoichet

2012Journal of Medicinal Chemistry2,419 citationsDOIOpen Access PDF

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.

Topics & Concepts

BenchmarkingDocking (animal)DOCKChemical spacechEMBLVirtual screeningComputer scienceChemistryData miningDrug discoveryComputational biologyArtificial intelligenceMachine learningBiologyBiochemistryBusinessMarketingNursingMedicineComputational Drug Discovery MethodsProtein Structure and DynamicsMachine Learning in Materials Science
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