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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...
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 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 23, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells

Published on: March 3, 2015

MOfinder: a novel algorithm for detecting overlapping modules from protein-protein interaction network.

Qi Yu1, Gong-Hua Li, Jing-Fei Huang

  • 1State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.

Journal of Biomedicine & Biotechnology
|April 14, 2012
PubMed
Summary
This summary is machine-generated.

A new method, MOfinder, accurately detects overlapping modules in protein-protein interaction networks. This approach enhances understanding of cellular processes and disease, offering insights for cancer immunotherapy.

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Related Experiment Videos

Last Updated: May 23, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells

Published on: March 3, 2015

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
08:07

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

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

Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Cellular processes and organism development exhibit modular organization.
  • Detecting these modules in biological networks is crucial for understanding function.
  • Existing algorithms for module detection have limitations.

Purpose of the Study:

  • To develop a novel method, MOfinder, for identifying overlapping modules in protein-protein interaction (PPI) networks.
  • To evaluate the accuracy and performance of MOfinder compared to existing methods.
  • To explore the biological significance of overlapping modules in human and yeast PPI networks.

Main Methods:

  • Development of the MOfinder algorithm for overlapping module detection.
  • Comparative analysis of MOfinder against five other module detection methods.
  • Application of MOfinder to yeast and human PPI networks.
  • Construction of a module-module communication network using human PPI data.

Main Results:

  • MOfinder demonstrated superior accuracy compared to five other methods.
  • Analysis of human PPI networks revealed co-localization of immune- and cancer-related proteins within modules.
  • The study identified potential therapeutic targets through module-module communication analysis.

Conclusions:

  • MOfinder provides a more accurate approach to overlapping module detection in PPI networks.
  • Overlapping modules offer new insights into cellular organization and disease mechanisms.
  • Findings suggest potential applications in cancer immunotherapy and disease understanding.