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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,...
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Conservation of Protein Domains02:26

Conservation of Protein Domains

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...

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Related Experiment Video

Updated: Jul 10, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Analysis on multi-domain cooperation for predicting protein-protein interactions.

Rui-Sheng Wang1, Yong Wang, Ling-Yun Wu

  • 1School of Information, Renmin University of China, Beijing 100872, China. wangrsh@amss.ac.cn

BMC Bioinformatics
|October 17, 2007
PubMed
Summary

This study introduces a novel computational framework to identify cooperative protein domains involved in interactions. The method enhances protein interaction prediction accuracy by analyzing multi-domain cooperation across multiple organisms.

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Computational Biology

Background:

  • Protein domains are fundamental functional units mediating protein-protein interactions.
  • Understanding multi-domain cooperation is crucial for elucidating protein interaction mechanisms.
  • Accurate prediction of protein interactions is vital in biological research.

Purpose of the Study:

  • To develop a computational method for identifying cooperative domains in protein interactions.
  • To extend the analysis from two-domain to multi-domain interactions.
  • To improve the accuracy of protein interaction prediction by incorporating multi-domain cooperation.

Main Methods:

  • Inference of domain interactions using high-throughput experimental data from multiple organisms.
  • Application of a Linear Programming algorithm with Multi-domain pairs (LPM).
  • Utilization of an Association Probabilistic Method with Multi-domain pairs (APMM).

Main Results:

  • Successfully identified cooperative domains, including strongly cooperative domains and superdomains.
  • Demonstrated higher accuracy in protein interaction prediction compared to existing methods.
  • Validated findings using interaction databases (MIPS, DIP) and crystal structures (PDB).

Conclusions:

  • The proposed framework offers a general approach for accurate protein interaction prediction.
  • The method effectively identifies cooperative domains and can aid in reconstructing protein complexes.
  • The approach facilitates domain function annotation and provides valuable computational tools.