Minimizing false positives in kinase virtual screens
- 17 May 2006
- journal article
- research article
- Published by Wiley in Proteins-Structure Function and Bioinformatics
- Vol. 64 (2), 422-435
- https://doi.org/10.1002/prot.21002
Abstract
In spite of recent improvements in docking and scoring methods, high false‐positive rates remain a common issue in structure‐based virtual screening. In this study, the distinctive features of false positives in kinase virtual screens were investigated. A series of retrospective virtual screens on kinase targets was performed on specifically designed test sets, each combining true ligands and experimentally confirmed inactive compounds. A systematic analysis of the docking poses generated for the top‐ranking compounds highlighted key aspects differentiating true hits from false positives. The most recurring feature in the poses of false positives was the absence of certain key interactions known to be required for kinase binding. A systematic analysis of 444 crystal structures of ligand‐bound kinases showed that at least two hydrogen bonds between the ligand and the backbone protein atoms in the kinase hinge region are present in 90% of the complexes, with very little variability across targets. Closer inspection showed that when the two hydrogen bonds are present, one of three preferred hinge‐binding motifs is involved in 96.5% of the cases. Less than 10% of the false positives satisfied these two criteria in the minimized docking poses generated by our standard protocol. Ligand conformational artifacts were also shown to contribute to the occurrence of false positives in a number of cases. Application of this knowledge in the form of docking constraints and post‐processing filters provided consistent improvements in virtual screening performance on all systems. The false‐positive rates were significantly reduced and the enrichment factors increased by an average of twofold. On the basis of these results, a generalized two‐step protocol for virtual screening on kinase targets is suggested. Proteins 2006.This publication has 55 references indexed in Scilit:
- Virtual screening of chemical librariesNature, 2004
- Identification of Novel Parasitic Cysteine Protease Inhibitors Using Virtual Screening. 1. The ChemBridge DatabaseJournal of Medicinal Chemistry, 2004
- Comparative evaluation of eight docking tools for docking and virtual screening accuracyProteins-Structure Function and Bioinformatics, 2004
- HierVLS Hierarchical Docking Protocol for Virtual Ligand Screening of Large-Molecule DatabasesJournal of Medicinal Chemistry, 2003
- Discovery of a Novel Family of CDK Inhibitors with the Program LIDAEUSStructure, 2003
- Discovery of Small-Molecule Inhibitors of Bcl-2 through Structure-Based Computer ScreeningJournal of Medicinal Chemistry, 2001
- Merck molecular force field. III. Molecular geometries and vibrational frequencies for MMFF94Journal of Computational Chemistry, 1996
- Merck molecular force field. II. MMFF94 van der Waals and electrostatic parameters for intermolecular interactionsJournal of Computational Chemistry, 1996
- Merck molecular force field. I. Basis, form, scope, parameterization, and performance of MMFF94Journal of Computational Chemistry, 1996
- Automatic generation of 3D-atomic coordinates for organic moleculesTetrahedron Computer Methodology, 1990