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Computation of 3D queries for ROCS based virtual screens

  • Gregory J. Tawa
  • J. Christian Baber
  • Christine Humblet
Article

Abstract

Rapid overlay of chemical structures (ROCS) is a method that aligns molecules based on shape and/or chemical similarity. It is often used in 3D ligand-based virtual screening. Given a query consisting of a single conformation of an active molecule ROCS can generate highly enriched hit lists. Typically the chosen query conformation is a minimum energy structure. Can better enrichment be obtained using conformations other than the minimum energy structure? To answer this question a methodology has been developed called CORAL (COnformational analysis, Rocs ALignment). For a given set of molecule conformations it computes optimized conformations for ROCS screening. It does so by clustering all conformations of a chosen molecule set using pairwise ROCS combo scores. The best representative conformation is that which has the highest average overlap with the rest of the conformations in the cluster. It is these best representative conformations that are then used for virtual screening. CORAL was tested by performing virtual screening experiments with the 40 DUD (Directory of Useful Decoys) data sets. Both CORAL and minimum energy queries were used. The recognition capability of each query was quantified as the area under the ROC curve (AUC). Results show that the CORAL AUC values are on average larger than the minimum energy AUC values. This demonstrates that one can indeed obtain better ROCS enrichments with conformations other than the minimum energy structure. As a result, CORAL analysis can be a valuable first step in virtual screening workflows using ROCS.

Keywords

Ligand-based virtual screening ROCS Optimized query conformation ROC curve analysis Statistical significance Virtual screening workflow 

Notes

Acknowledgments

The authors would like to thank Will Somers and Tarek Mansour of Wyeth Chemical Sciences for their support, Dave Diller for manuscript suggestions, Ramaswamy Nilikantan for help with the diversity analysis and Youping Huang for help in performing the statistical analysis.

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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Gregory J. Tawa
    • 1
  • J. Christian Baber
    • 2
  • Christine Humblet
    • 1
  1. 1.Chemical SciencesWyeth ResearchPrincetonUSA
  2. 2.Chemical SciencesWyeth ResearchCambridgeUSA

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