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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-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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Related Experiment Video

Updated: May 29, 2026

Protein Complex Affinity Capture from Cryomilled Mammalian Cells
10:37

Protein Complex Affinity Capture from Cryomilled Mammalian Cells

Published on: December 9, 2016

Assessing coverage of protein interaction data using capture-recapture models.

W P Kelly1, M P H Stumpf

  • 1Centre for Bioinformatics, Imperial College London, London, UK. william.kelly04@imperial.ac.uk

Bulletin of Mathematical Biology
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

Researchers used statistical models to estimate the size and accuracy of protein interaction networks. This analysis suggests over half of yeast

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Related Experiment Videos

Last Updated: May 29, 2026

Protein Complex Affinity Capture from Cryomilled Mammalian Cells
10:37

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Published on: December 9, 2016

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

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

Area of Science:

  • Proteomics
  • Systems Biology
  • Bioinformatics

Background:

  • Protein interaction networks are crucial for understanding cellular processes.
  • The exact size and reliability of these networks remain uncertain.
  • Existing data quality is frequently questioned.

Purpose of the Study:

  • To assess the false discovery rate and size of protein interaction networks.
  • To evaluate the efficacy of experimental systems in mapping the interactome.
  • To develop a method for estimating network properties without a reference dataset.

Main Methods:

  • Application of statistical models, specifically capture-recapture methods.
  • Analysis of experimental sampling processes in protein interaction studies.
  • Estimation of network size and false discovery rate based on repeated interactions.

Main Results:

  • The study provides estimates for the size and false discovery rate of protein interaction networks.
  • The developed model can gauge the ability of different experimental systems to identify true interactions.
  • Over half of the true physical interactome in yeast is estimated to have been sampled.

Conclusions:

  • Statistical modeling, particularly capture-recapture methods, offers a robust approach to assess protein interaction network properties.
  • The findings suggest significant progress in mapping the yeast interactome.
  • The methodology provides insights for reducing noise and improving data quality in interactome studies.