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Related Concept Videos

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 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 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 4, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Increasing the reliability of protein interactomes.

Hon Nian Chua1, Limsoon Wong

  • 1Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore.

Drug Discovery Today
|July 4, 2008
PubMed
Summary

High-throughput protein interaction studies generate noisy data. This review covers computational methods to assess and enhance the reliability of protein-protein interaction networks, crucial for understanding cellular processes and disease.

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Last Updated: Jul 4, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

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

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
12:53

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics

Published on: July 6, 2014

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Protein interactions are fundamental to cellular functions.
  • Understanding protein interaction networks offers insights into cell structure, function, and disease mechanisms.
  • High-throughput experimental techniques have increased protein-protein interaction data but are prone to noise.

Purpose of the Study:

  • To review computational techniques for evaluating the reliability of protein-protein interaction data.
  • To discuss methods for improving the accuracy of protein interaction networks derived from high-throughput experiments.

Main Methods:

  • Review of existing literature on computational approaches for protein interaction data validation.
  • Analysis of methods designed to filter or score protein-protein interactions based on reliability.

Main Results:

  • Computational methods are essential for managing noise in high-throughput protein interaction data.
  • Various computational strategies exist to assess and improve the reliability of protein-protein interactions.
  • Reliable protein interaction networks are critical for biological research and disease study.

Conclusions:

  • Computational techniques are indispensable for refining protein-protein interaction data.
  • Improving the reliability of protein interaction networks enhances their utility in biological and medical research.
  • Accurate protein interaction networks are key to understanding cellular processes and disease pathogenesis.