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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
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Re-docking scheme for generating near-native protein complexes by assembling residue interaction fingerprints.

Nobuyuki Uchikoga1, Yuri Matsuzaki, Masahito Ohue

  • 1Department of Physics, Chuo University, Bunkyo-ku, Tokyo, Japan. uchikoga@phys.chuo-u.ac.jp

Plos One
|July 23, 2013
PubMed
Summary

A new re-docking method using interaction fingerprints successfully generates near-native poses for protein complexes. This approach refines initial docking results, ensuring identification of biologically relevant protein-protein interactions.

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Biophysics

Background:

  • Rigid-body docking is crucial for predicting protein complex structures.
  • Interaction profiles help classify docking poses but may miss near-native solutions.
  • Existing methods struggle to identify near-native poses in all cases, even with bound-state structures.

Purpose of the Study:

  • To develop an improved method for generating near-native protein complex poses.
  • To enhance the accuracy of rigid-body docking through a novel re-docking strategy.

Main Methods:

  • A re-docking process was introduced to refine initial docking poses.
  • Interaction fingerprints were calculated by assembling protein complexes around determined core structures.
  • A dataset of 44 bound-state protein complexes from ZDOCK benchmark 2.0 was utilized.

Main Results:

  • The re-docking process, guided by interaction fingerprints, successfully generated near-native poses for all tested bound-state protein complexes.
  • Near-native poses were obtained even for protein pairs that failed to yield such poses in the initial docking.
  • The method improved the number of native interactions in the predicted poses.

Conclusions:

  • Utilizing interaction fingerprints within a re-docking process is an effective strategy for obtaining near-native protein complex structures.
  • This approach enhances the reliability of rigid-body docking, particularly when initial poses have limited native interactions.
  • The developed method offers a significant improvement for structure-based drug design and biological interaction studies.