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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-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...
Conserved Binding Sites01:49

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Protein Organization01:13

Protein Organization

Overview
Protein Organization01:13

Protein Organization

Overview

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

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Published on: July 25, 2013

Protein-protein docking by shape-complementarity and property matching.

Tim Geppert1, Ewgenij Proschak, Gisbert Schneider

  • 1Department of Biochemistry, Chemistry and Pharmacy, Institute of Organic Chemistry and Chemical Biology, LiFF/ZAFES, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany.

Journal of Computational Chemistry
|January 21, 2010
PubMed
Summary
This summary is machine-generated.

ProBinder is a new computational method for protein-protein docking that uses local surface shape features. This approach accurately predicts protein complex structures, achieving high rankings for 64% of bound and 82% of unbound cases.

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Area of Science:

  • Computational Biology
  • Structural Biology
  • Bioinformatics

Background:

  • Protein-protein interactions are crucial for biological processes.
  • Accurate prediction of protein complex structures is essential for understanding function.
  • Existing computational docking methods face challenges in accuracy and efficiency.

Purpose of the Study:

  • To develop and evaluate ProBinder, a novel computational approach for protein-protein docking.
  • To improve the accuracy of predicting protein complex structures using surface shape complementarity.
  • To assess the performance of ProBinder on diverse bound and unbound protein complexes.

Main Methods:

  • Implemented a novel surface decomposition method to identify local shape features (knobs, holes, flats) and point normals.
  • Utilized geometric hashing for rapid, translation- and rotation-free comparison of surface point coordinates.
  • Scored candidate docking solutions using knowledge-based potentials (electrostatics, desolvation, amino acid preferences, van-der-Waals) and steric criteria.

Main Results:

  • ProBinder achieved high-ranking predictions for a diverse test set of 68 bound and 30 unbound protein complexes from the Dockground database.
  • For bound complexes, 64% were ranked within the top 10 predictions with a root mean square deviation (RMSD) < 5 Å.
  • For unbound complexes, 82% were ranked within the top 10 solutions with an RMSD < 10 Å.

Conclusions:

  • ProBinder demonstrates a robust and accurate computational approach for protein-protein docking.
  • The method's reliance on local surface shape features and efficient geometric hashing contributes to its performance.
  • ProBinder shows significant potential for advancing structural biology and drug discovery through accurate complex structure prediction.