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Modeling complexes of modeled proteins.

Ivan Anishchenko1, Petras J Kundrotas1, Ilya A Vakser1,2

  • 1Center for Computational Biology, The University of Kansas, Lawrence, Kansas, 66047, USA.

Proteins
|October 5, 2016
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Summary
This summary is machine-generated.

Protein structure modeling is crucial but challenging. Template-based docking remains effective even with inaccurate protein models, offering a viable approach for reconstructing protein interactions.

Keywords:
interactomeprotein dockingprotein modelingprotein recognitionstructure prediction

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Area of Science:

  • Structural biology
  • Computational biology
  • Bioinformatics

Background:

  • Experimental protein structures are scarce, especially for complexes.
  • Protein-protein interaction (PPI) modeling often uses less accurate, modeled protein structures.
  • Accurate PPI structural modeling is vital for understanding molecular mechanisms.

Purpose of the Study:

  • To systematically validate template-based and free docking methods.
  • To assess the impact of protein model accuracy on docking performance.
  • To evaluate docking success rates using CAPRI criteria.

Main Methods:

  • Tested 165 protein complexes using template-based and free docking.
  • Utilized protein models with varying structural accuracy (1-6 Å Cα RMSD).
  • Assessed docking predictions against CAPRI criteria.

Main Results:

  • Template-based docking achieved acceptable quality predictions even for inaccurate models (5-6 Å RMSD).
  • Docking success rates decreased significantly for models with >4 Å RMSD.
  • Template-based docking showed greater robustness to protein model inaccuracies than free docking.

Conclusions:

  • Existing protein docking methodologies are applicable to models with diverse accuracy levels.
  • Template-based docking is a reliable strategy for modeling protein-protein interactions, even with imperfect input structures.
  • This study provides insights into the Grand Challenge of modeling the interactome.