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  • Poster presentation
  • Open Access

High throughput in-silico screening against flexible protein receptors

  • 1,
  • 1,
  • 2,
  • 1 and
  • 1
Journal of Cheminformatics20102 (Suppl 1) :P23

https://doi.org/10.1186/1758-2946-2-S1-P23

  • Published:

Keywords

  • Dihedral Angle
  • Dock
  • Thymidine Kinase
  • Tunneling Method
  • Docking Flexibility

Based on the stochastic tunneling method (STUN) [1] we have developed FlexScreen [2], a novel strategy for high-throughput in-silico screening of large ligand databases. Each ligand of the database is docked against the receptor using an all-atom representation of both ligand and receptor. The ligands with the best evaluated affinity are selected as lead candidates for drug development. Using the thymidine kinase inhibitors as a prototypical example we documented [3] the shortcomings of rigid receptor screens in a realistic system. We demonstrate a gain in both overall binding energy and overall rank of the known substrates when two screens with a rigid and flexible (up to 15 sidechain dihedral angles) receptor are compared. We note that the STUN suffers only a comparatively small loss of efficiency when an increasing number of receptor degrees of freedom is considered. FlexScreen thus offers a viable compromise [4] between docking flexibility and computational efficiency to perform fully automated database screens on hundreds of thousands of ligands. We also investigate enrichment rates [5] of rigid, soft and flexible receptor models [6] for 12 diverse receptors using libraries containing up to 13000 molecules. A flexible sidechain model with flexible dihedral angles for up to 12 aminoacids increased both binding propensity and enrichment rates: EF_1 values increased by 35% on average with respect to rigid-docking (3-8 flexible sidechains). This methodology will be soon available for the Cell processor and Pipeline Pilot.

Authors’ Affiliations

(1)
Institut für Nanotechnologie, Forschungszentrum Karlsruhe, Postfach 3640, 76021 Karlsruhe, Germany
(2)
Wuppertal, Germany

References

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  2. Merlitz H, Burghardt B, Wenzel W: Application of the stochastic tunneling method to high throughput database screening. Chemical Physics Letters. 2003, 370 (1-2): 68-73. 10.1016/S0009-2614(02)02012-2.View ArticleGoogle Scholar
  3. Merlitz H, Burghardt B, Wenzel W: Impact of receptor conformation on in silico screening performance. Chemical Physics Letters. 2004, 390 (4-6): 500-505. 10.1016/j.cplett.2004.04.074.View ArticleGoogle Scholar
  4. Fischer B, et al: Accuracy of binding mode prediction with a cascadic stochastic tunneling method. Proteins-Structure Function and Bioinformatics. 2007, 68 (1): 195-204. 10.1002/prot.21382.View ArticleGoogle Scholar
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  6. Fischer B, Fukuzawa K, Wenzel W: Receptor-specific scoring functions derived from quantum chemical models improve affinity estimates for in-silico drug discovery. Proteins-Structure Function and Bioinformatics. 2008, 70 (4): 1264-1273. 10.1002/prot.21607.View ArticleGoogle Scholar

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