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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 Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Related Experiment Video

Updated: Mar 30, 2026

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
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Deciphering Supramolecular Structures with Protein-Protein Interaction Network Modeling.

Toshiyuki Tsuji1, Takao Yoda1, Tsuyoshi Shirai1

  • 1Nagahama Institute of Bio-Science and Technology, and Japan Science and Technology Agency, Bioinformatics Research Division, Nagahama, Shiga 526-0829, Japan.

Scientific Reports
|November 10, 2015
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel computational method to predict and model supramolecular structures using protein interaction data. This approach successfully identified novel protein interfaces and mapped disease-associated variants, enhancing our understanding of biological networks.

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Area of Science:

  • Computational biology
  • Structural biology
  • Bioinformatics

Background:

  • Supramolecular structures are vital for cellular functions, but experimental structural data remains limited.
  • Bridging the gap between biological network information and structural details is a significant challenge.

Purpose of the Study:

  • To develop a computational method for predicting and modeling supramolecular structures within biological networks.
  • To leverage existing structural and interaction databases to infer unknown complex formations.

Main Methods:

  • Combined structural data from the Protein Data Bank (PDB) with interaction data from IntAct.
  • Extracted templates for binary complexes from PDB and modeled larger assemblies by superposing shared subunits.
  • Developed a computational pipeline for predicting and assembling protein complexes.

Main Results:

  • Generated 3,197 supramolecular models, with 41% containing subunits not found in experimental structures.
  • Identified 970 novel, experimentally undetected subunit interfaces (25% of models).
  • Mapped 41 human disease-related amino acid variants onto these predicted interfaces.

Conclusions:

  • Protein-protein interaction network modeling effectively fills the information gap between biological networks and structures.
  • The developed method provides valuable insights into uncharacterized supramolecular assemblies and their functional implications.
  • This approach aids in understanding the structural basis of diseases by identifying critical interaction sites.