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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 Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...
Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...

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Related Experiment Video

Updated: Jun 20, 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

Finding local communities in protein networks.

Konstantin Voevodski1, Shang-Hua Teng, Yu Xia

  • 1Department of Computer Science, Boston University, Boston, MA 02215, USA. kvodski@bu.edu

BMC Bioinformatics
|September 22, 2009
PubMed
Summary
This summary is machine-generated.

We developed a Local Protein Community Finder tool that uses novel algorithms to identify functional protein modules within protein-protein interaction networks. This tool helps biologists discover protein communities and their functional roles.

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Last Updated: Jun 20, 2026

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TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

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Area of Science:

  • Computational Biology
  • Network Science
  • Systems Biology

Background:

  • Protein-protein interactions (PPIs) are crucial for cellular functions and understanding them provides insights into cell biology.
  • Identifying communities within PPI networks can reveal functional relationships between proteins.
  • Existing global clustering algorithms partition entire networks, but a local approach is needed for specific protein investigations.

Purpose of the Study:

  • To develop a tool for rapidly identifying local communities in protein-protein interaction networks.
  • To introduce and evaluate novel local clustering algorithms for PPI network analysis.

Main Methods:

  • Developed the Local Protein Community Finder tool.
  • Implemented two new local clustering algorithms: Nibble and PageRank-Nibble.
  • Utilized random walks and conductance to identify communities in PPI networks.

Main Results:

  • The Local Protein Community Finder efficiently identifies communities near a queried protein.
  • Nibble and PageRank-Nibble algorithms produce high-quality, functionally coherent clusters.
  • These local algorithms outperform existing graph partitioning methods in finding relevant protein communities.

Conclusions:

  • The Local Protein Community Finder is a valuable resource for biologists to explore functional modules.
  • The tool provides quick access to high-quality, functionally relevant protein communities.
  • It aids in investigating the functional roles of proteins within their interaction networks.