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Protein Networks

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 Networks

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 Interfaces

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 Parts

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 Parts

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: Jun 23, 2026

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

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

Published on: August 2, 2015

A hybrid graph-theoretic method for mining overlapping functional modules in large sparse protein interaction

Shihua Zhang¹, Hong-Wei Liu, Xue-Mei Ning

¹Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China. zsh@amss.ac.cn

International Journal of Data Mining and Bioinformatics

|May 13, 2009

Summary

This study introduces a novel network module detection method using Line Graph Transformation and clique percolation. The approach effectively identifies overlapping modules in protein-protein interaction networks, revealing significant biological functions.

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Area of Science:

Systems Biology
Bioinformatics
Network Science

Background:

Modular architecture is fundamental to protein-protein interaction (PPI) networks, representing elementary biological functional units.
Detecting these modules, especially overlapping ones in large, sparse networks, is crucial for understanding cellular organization.

Purpose of the Study:

To develop and present a novel computational method for detecting overlapping network modules in protein-protein interaction networks.
To evaluate the method's performance and biological relevance across different species' PPI data.

Main Methods:

Integration of Line Graph Transformation (LGT) with a clique percolation-clustering algorithm.
Application of the combined method to large, sparse protein-protein interaction networks from yeast, fly, and worm.

Main Results:

The proposed method successfully detected overlapping modules with high coverage in yeast, fly, and worm PPI networks.
Analysis of yeast PPI network modules indicated significant biological relevance, including protein localization, function annotation, and protein complex associations.

Conclusions:

The LGT and clique percolation-based method is effective for identifying biologically meaningful, potentially overlapping modules in PPI networks.
This approach enhances the understanding of modular organization and functional units within complex biological systems.