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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...

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NetworkBLAST: comparative analysis of protein networks.

Maxim Kalaev1, Mike Smoot, Trey Ideker

  • 1School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel. kalaevma@post.tau.ac.il

Bioinformatics (Oxford, England)
|January 5, 2008
PubMed
Summary

NetworkBLAST identifies protein complexes in protein-protein interaction networks. It uses cross-species analysis to find evolutionarily conserved complexes, improving data interpretation.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Systems biology

Background:

  • Protein complex identification is crucial for understanding protein-protein interaction (PPI) data.
  • High noise levels in PPI data present a significant challenge.
  • Cross-species analysis offers a robust approach to mitigate noise and improve accuracy.

Purpose of the Study:

  • To present NetworkBLAST, a web-server for identifying protein complexes.
  • To enable analysis of single or cross-species protein-protein interaction networks.
  • To identify evolutionarily conserved protein complexes.

Main Methods:

  • NetworkBLAST analyzes protein-protein interaction networks.
  • It supports the analysis of individual networks.
  • It facilitates comparative analysis of networks from different species.

Main Results:

  • NetworkBLAST identifies protein complexes within networks.
  • The tool outputs putative protein complexes conserved across species when analyzing two networks.
  • This aids in the interpretation of noisy PPI data.

Conclusions:

  • NetworkBLAST provides a valuable platform for protein complex identification.
  • Cross-species analysis enhances the reliability of identified complexes.
  • The web-server aids in deciphering complex biological functions from interaction data.