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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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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

A fast hierarchical clustering algorithm for functional modules discovery in protein interaction networks.

Jianxin Wang1, Min Li, Jianer Chen

  • 1Department of Computer Science, School of Information Science and Engineering, Central South University, Changsha 410083, China. jxwang@mail.csu.edu.cn

IEEE/ACM Transactions on Computational Biology and Bioinformatics
|August 25, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces HC-PIN, a fast clustering algorithm for identifying protein interaction modules. HC-PIN effectively handles noisy data and reveals functional organization, outperforming existing methods in speed and accuracy.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Protein interaction networks are crucial for understanding cellular functions.
  • High-throughput experiments generate large datasets with inherent false positives, complicating module identification.
  • Accurate identification of functional modules is essential for deciphering cellular organization.

Purpose of the Study:

  • To develop a fast and robust algorithm for identifying functional modules in protein interaction networks.
  • To address the challenge of false positives in experimental protein interaction data.
  • To uncover the hierarchical organization of functional modules.

Main Methods:

  • A fast hierarchical clustering algorithm, HC-PIN, was developed.
  • HC-PIN utilizes a local metric of edge clustering value.
  • The algorithm is applicable to both unweighted and weighted protein interaction networks.

Main Results:

  • HC-PIN demonstrated robustness against false positives in protein interaction data.
  • The algorithm successfully identified functional modules, including those with low density.
  • Identified modules showed statistical significance across Biological Process, Molecular Function, and Cellular Component Gene Ontology (GO) terms.
  • HC-PIN revealed a hierarchical organization of functional modules, correlating with GO annotation structure.

Conclusions:

  • HC-PIN is an efficient and accurate algorithm for functional module discovery in protein interaction networks.
  • The algorithm's ability to handle noisy data and uncover hierarchical structures offers significant advantages.
  • HC-PIN provides a valuable tool for systems biology research and understanding cellular organization.