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Benchmarking of different molecular docking methods for protein-peptide docking.

Piyush Agrawal1,2, Harinder Singh2, Hemant Kumar Srivastava2

  • 1Center for Computation Biology, Indraprastha Institute of Information Technology, Okhla Phase III, New Delhi, 110020, India.

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|February 6, 2019
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Summary

This study benchmarks 6 molecular docking methods for protein-peptide interactions, finding FRODOCK excels in blind docking and ZDOCK in re-docking. A new web service, PPDbench, is introduced to aid researchers in calculating complex parameters.

Keywords:
ATTRACTBenchmarkCAPRIFRODOCKHexPatchDockProtein-peptide dockingZDOCKpepATTRACT

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Molecular Modeling

Background:

  • Protein-peptide interactions are crucial but challenging to model due to peptide flexibility.
  • Existing docking method validation is limited for protein-peptide complexes.
  • This study addresses the need for rigorous benchmarking of peptide docking approaches.

Purpose of the Study:

  • To benchmark and evaluate the performance of six different molecular docking methods for protein-peptide complexes.
  • To assess docking accuracy using established criteria like FNAT, I-RMSD, and L-RMSD.
  • To identify the most effective docking strategies for modeling protein-peptide interactions.

Main Methods:

  • Benchmarking of 6 docking methods on 133 protein-peptide complexes (9-15 residues).
  • Evaluation using blind docking and re-docking strategies.
  • Performance assessment based on CAPRI parameters (FNAT, I-RMSD, L-RMSD).

Main Results:

  • FRODOCK showed superior performance in blind docking (avg. L-RMSD 3.72 Å).
  • ZDOCK achieved the best results in re-docking (avg. L-RMSD 2.88 Å for best pose).
  • AutoDock Vina performed well in re-docking on a smaller dataset (avg. L-RMSD 2.09 Å).

Conclusions:

  • FRODOCK is recommended for blind docking and ZDOCK for re-docking protein-peptide complexes.
  • Current pose ranking schemes require improvement for better accuracy.
  • A web-based service, PPDbench, was developed to assist the scientific community in analyzing docking results.