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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: Jun 6, 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

Improving evolutionary models of protein interaction networks.

Todd A Gibson1, Debra S Goldberg

  • 1Department of Computer Science, University of Colorado, 430 UCB, Boulder, CO 80309, USA.

Bioinformatics (Oxford, England)
|November 12, 2010
PubMed
Summary

This study introduces a new method to parameterize gene duplication and divergence models using empirical data, improving evolutionary inference for biological networks. The enhanced model, incorporating heritable interaction sites, better explains protein interaction network evolution.

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Area of Science:

  • Evolutionary biology
  • Systems biology
  • Bioinformatics

Background:

  • Theoretical models are crucial for understanding biological network evolution.
  • Gene duplication and divergence models offer plausible evolutionary mechanics.
  • Current parameterization methods for these models may lack biological validity.

Purpose of the Study:

  • To develop a robust methodology for parameterizing gene duplication and divergence models using empirical data.
  • To address limitations in existing models that do not account for subsequent duplications.
  • To enhance models of protein interaction network evolution by incorporating empirical data.

Main Methods:

  • Developed a novel methodology to derive evolutionary rates directly from empirical data.
  • Parameterized duplication and divergence models using these empirically derived rates.
  • Introduced a model enhancement considering heritable interaction sites on protein surfaces.

Main Results:

  • Found that existing duplication and divergence models are insufficient for accurately modeling protein interaction networks.
  • The enhanced model, incorporating heritable interaction sites, demonstrated a closer fit to the high clustering observed in empirical networks.
  • Empirically derived parameters revealed critical insights into the evolutionary dynamics of protein interactions.

Conclusions:

  • Parameterizing evolutionary models with empirical data is essential for valid biological inferences.
  • A new model incorporating heritable interaction sites provides a more accurate representation of protein interaction network evolution.
  • Further research into duplication and divergence mechanics, informed by empirical data, is warranted.