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Related Concept Videos

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,...
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,...
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...
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...

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Related Experiment Video

Updated: May 27, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Multifunctional proteins revealed by overlapping clustering in protein interaction network.

Emmanuelle Becker1, Benoît Robisson, Charles E Chapple

  • 1INSERM, U928, TAGC, France.

Bioinformatics (Oxford, England)
|November 15, 2011
PubMed
Summary

A new method, Overlapping Cluster Generator (OCG), accurately assigns multifunctional proteins by creating overlapping clusters. This approach improves network analysis and protein interaction studies.

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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Network Analysis

Background:

  • Multifunctional proteins perform diverse roles, interacting with multiple partners.
  • Existing clustering methods assign proteins to single clusters, inaccurately representing multifunctional proteins.
  • Realistic protein interaction network analysis requires methods that handle protein multifunctionality.

Purpose of the Study:

  • To introduce a novel clustering method, Overlapping Cluster Generator (OCG).
  • To enable accurate assignment of multifunctional proteins within biological networks.
  • To improve the analysis of protein-protein interaction (PPI) networks.

Main Methods:

  • OCG decomposes networks into overlapping clusters.
  • It iteratively fuses initial overlapping clusters using an extended modularity function.
  • The method was applied to a human protein-protein interaction network.

Main Results:

  • OCG successfully identifies multifunctional proteins at cluster intersections.
  • The method demonstrates superior performance compared to existing approaches on simulated and real PPI networks.
  • OCG provides a more realistic representation of biological networks.

Conclusions:

  • OCG is a powerful tool for analyzing complex biological networks.
  • The method advances the study of protein function and interactions.
  • OCG offers a significant improvement over traditional clustering techniques for network biology.