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DockTrina: docking triangular protein trimers.

Petr Popov1, David W Ritchie, Sergei Grudinin

  • 1NANO-D, INRIA Grenoble-Rhone-Alpes, 38334 Saint Ismier Cedex, Montbonnot, France; Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France.

Proteins
|June 19, 2013
PubMed
Summary
This summary is machine-generated.

Computational modeling of protein-protein interactions is challenging. DockTrina efficiently models nonsymmetrical triangular protein trimers, simplifying complex structural characterization.

Keywords:
algorithmscombinatorial searchcomputational dockingprotein domainsprotein structure predictionprotein-protein interactionssoftware development

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Area of Science:

  • Structural biology
  • Computational biology
  • Biophysics

Background:

  • Characterizing protein-protein interactions, especially heteromeric complexes, remains a significant challenge in structural biology.
  • Computational modeling offers a promising avenue for determining complex structures, but large-scale assembly is computationally intensive.
  • Triangular trimers are common quaternary structural motifs, presenting a tractable sub-problem for computational modeling.

Purpose of the Study:

  • To present DockTrina, a novel computational method for modeling the three-dimensional (3D) structures of nonsymmetrical triangular protein trimers.
  • To provide an efficient and accurate tool for predicting protein complex structures.

Main Methods:

  • DockTrina utilizes predicted pairwise protein contacts as input.
  • It employs a rapid root mean square deviation (RMSD) test to score monomer combinations.
  • A scoring function combining pairwise contacts and a geometric clash penalty ranks the final predictions.

Main Results:

  • The DockTrina method successfully models nonsymmetrical triangular trimers.
  • The computational approach is highly efficient, completing analysis in under 2 minutes per complex on a standard desktop.
  • Validation using a benchmark set of 220 bound and 7 unbound trimer structures demonstrates the method's efficacy.

Conclusions:

  • DockTrina offers an efficient computational solution for modeling triangular protein trimers.
  • The method simplifies the complex problem of heteromeric protein assembly.
  • DockTrina is a valuable tool for structural biologists and computational modelers.