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

Published on: January 26, 2024

Predicting protein complexes from PPI data: a core-attachment approach.

Henry C M Leung1, Qian Xiang, S M Yiu

  • 1Department of Computer Science, University of Hong Kong, Hong Kong. cmleung2@cs.hku.hk

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|February 6, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new computational method to identify protein complexes using protein-protein interaction networks. The approach improves prediction accuracy by separately identifying complex cores and attachments, outperforming existing tools.

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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells

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Area of Science:

  • Computational Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Protein complexes are crucial for biological processes.
  • Identifying protein complexes aids in understanding biological activities.
  • Existing computational methods for protein complex prediction have limitations.

Purpose of the Study:

  • To develop a novel computational approach for predicting protein complexes from protein-protein interaction (PPI) networks.
  • To improve the accuracy and quantity of identified protein complexes compared to existing tools.

Main Methods:

  • Developed a novel approach based on the core-attachment concept of protein complexes.
  • Separately identified complex cores and attachments within the PPI network.
  • Evaluated the approach using three different datasets and compared with three existing tools.

Main Results:

  • The proposed approach predicts significantly more protein complexes with higher accuracy (over 30% improvement).
  • Identified cores show substantially higher quality (10- to 30-fold) and accuracy compared to previously claimed cores.

Conclusions:

  • The core-attachment based method is effective for identifying protein complexes from PPI networks.
  • This approach offers a significant advancement in the accuracy and scope of protein complex prediction.