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Related Concept Videos

Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
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 Complex Assembly02:41

Protein Complex Assembly

Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
Protein Complex Assembly02:41

Protein Complex Assembly

Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
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.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Efficient comprehensive scoring of docked protein complexes using probabilistic support vector machines.

Oliver Martin1, Dietmar Schomburg

  • 1CUBIC-Cologne University BioInformatics Center, University of Cologne, D-50674 Cologne, Germany.

Proteins
|September 27, 2007
PubMed
Summary

Predicting protein complexes computationally is challenging. This study developed new scoring functions using machine learning and diverse properties to accurately rank near-native protein-protein docking structures, outperforming existing methods.

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Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Biochemistry

Background:

  • Biological systems depend on molecular interactions, particularly protein-protein associations.
  • Protein-protein docking methods computationally predict complex structures from individual proteins.
  • Current docking algorithms generate many solutions, making it difficult to identify native-like structures (the scoring problem).

Purpose of the Study:

  • To develop improved scoring functions for ranking protein-protein docking predictions.
  • To enhance the identification of near-native complex conformations from large decoy sets.

Main Methods:

  • Utilized a comprehensive set of properties including energy functions, evolutionary data, residue interface propensities, gap volume, buried surface area, and fit tightness.
  • Developed scoring functions using probabilistic Support Vector Machines.
  • Tested performance on the largest available protein-protein docking benchmark.

Main Results:

  • The developed scoring functions effectively classify and rank docked protein-protein complexes.
  • Classifiers demonstrated specificity for certain complex types and high sensitivity in detecting near-native conformations.
  • Classification probabilities significantly improved the ranking of near-native structures, enriching them in top results.
  • Outperformed five previously published scoring functions.

Conclusions:

  • The novel scoring functions provide a significant advancement in protein-protein docking accuracy.
  • This approach enhances the ability to computationally predict biologically relevant protein complex structures.
  • The method offers a more efficient way to extract high-quality predictions from docking simulations.