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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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Related Experiment Video

Updated: Jul 9, 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

Inferring protein-protein interaction networks from protein complex data.

Shawn Martin1, Zisu Mao, Linda S Chan

  • 1Department of Computational Biology, Sandia National Laboratories, Albuquerque, NM 87185-1316, USA. smartin@sandia.gov

International Journal of Bioinformatics Research and Applications
|December 1, 2007
PubMed
Summary

This study introduces a novel computational method to predict protein-protein interactions using protein complex data, achieving 96% accuracy in cat melanoma cells. This approach enhances understanding of protein networks and can be applied to the entire cat proteome.

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Last Updated: Jul 9, 2026

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08:38

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Current methods for determining protein-protein interaction networks often rely on hybrid experimental measurements.
  • An alternative approach using protein complex data can provide valuable insights into these networks.

Purpose of the Study:

  • To develop and evaluate a computational method for predicting protein-protein interactions using protein complex data.
  • To assess the accuracy of this method in a specific biological context, such as cat melanoma cells.

Main Methods:

  • A computational method was developed to infer protein-protein interactions from protein complex data.
  • The method was applied to a dataset from a cat melanoma cell line.

Main Results:

  • The proposed method achieved approximately 96% accuracy in predicting protein pairs within a complex.
  • The method successfully extrapolated experimentally identified interaction pairs to the entire cat proteome.

Conclusions:

  • Protein complex data can be effectively utilized to predict protein-protein interactions computationally.
  • This method offers a promising approach for expanding the knowledge of protein interaction networks, with potential applications across different proteomes.