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Related Concept Videos

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Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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Fully Blind Peptide-Protein Docking with pepATTRACT.

Christina E M Schindler1, Sjoerd J de Vries1, Martin Zacharias1

  • 1Physics Department T38, Technische Universität München, James-Franck-Straße 1, 85748 Garching, Germany.

Structure (London, England : 1993)
|July 7, 2015
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Summary

A new computational method, pepATTRACT, enables flexible peptide-protein docking on a proteome scale. This blind docking protocol accurately predicts near-native models for peptide-protein complexes.

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Area of Science:

  • Computational biology
  • Structural biology
  • Bioinformatics

Background:

  • Peptide-protein interactions are crucial cellular processes and form a significant part of the protein interactome.
  • Current computational docking methods face limitations in scalability for proteome-wide analysis.
  • Experimental characterization of peptide-protein complexes is often complemented by computational approaches.

Purpose of the Study:

  • To develop a novel, fully blind, flexible peptide-protein docking protocol applicable on the proteome scale.
  • To enhance the accuracy and efficiency of predicting peptide-protein complex structures.
  • To provide a web interface for generating docking scripts for the developed protocol.

Main Methods:

  • The pepATTRACT protocol combines a coarse-grained global peptide docking search across the entire protein surface with a two-stage, atomistic flexible refinement.
  • A local version, pepATTRACT-local, restricts the search to the peptide binding region.
  • The protocol was tested on the largest available benchmark of peptide-protein complexes.

Main Results:

  • The global unbound-unbound docking approach yielded near-native models for 70% of the tested peptide-protein docking cases.
  • The performance of the global approach is comparable to state-of-the-art local docking protocols that utilize binding site information.
  • The pepATTRACT-local approach demonstrated superior performance compared to existing methods when the search was confined to the predicted binding region.

Conclusions:

  • The developed pepATTRACT protocol offers a scalable and accurate solution for blind peptide-protein docking.
  • The pepATTRACT-local variant shows high performance for structure prediction when binding site information is available.
  • A web interface is available for users to generate docking scripts, facilitating broader application of the method.