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Related Concept Videos

Protein Networks02:26

Protein Networks

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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,...
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Protein-protein Interfaces02:04

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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...
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Protein Complexes with Interchangeable Parts01:57

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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...
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LEVELNET to visualize, explore, and compare protein-protein interaction networks.

Yasser Mohseni Behbahani1, Paul Saighi1, Flavia Corsi1

  • 1Sorbonne Université, CNRS, IBPS, Laboratory of Computational and Quantitative Biology (LCQB), UMR 7238, Paris, France.

Proteomics
|July 5, 2023
PubMed
Summary
This summary is machine-generated.

LEVELNET organizes complex protein-protein interaction (PPI) data using multi-layered graphs. This tool aids in comparing and interpreting PPI networks, especially those with available 3D structures.

Keywords:
homologynetworkphysical interactionprotein-protein interactionstructure

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • Protein-protein interactions (PPIs) are fundamental to cellular functions.
  • Current PPI data is often incomplete, noisy, and heterogeneous, hindering comprehensive understanding.
  • There is a need for advanced methods to organize and analyze complex PPI networks.

Purpose of the Study:

  • To introduce LEVELNET, an interactive tool for visualizing, exploring, and comparing protein-protein interaction networks.
  • To facilitate the biological interpretation of PPI networks by representing them as multi-layered graphs.
  • To focus on PPIs supported by 3D structural data from the Protein Data Bank.

Main Methods:

  • LEVELNET represents PPI networks as multi-layered graphs.
  • The tool enables direct comparison of network subnetworks.
  • It prioritizes analysis of protein chains with available 3D structures.

Main Results:

  • LEVELNET provides a versatile platform for dissecting PPI network complexity.
  • The tool allows for the investigation of structural evidence supporting specific PPIs.
  • It facilitates comparison between PPI networks derived from different data sources (e.g., computational vs. homology transfer).

Conclusions:

  • LEVELNET enhances the exploration and interpretation of protein-protein interaction data.
  • The tool supports the assessment of interaction partner co-localization and the creation of PPI benchmarks.
  • LEVELNET is valuable for researchers studying the structural basis of biological processes and interactions.