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Related Concept Videos

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-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 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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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

An ensemble framework for clustering protein-protein interaction networks.

Sitaram Asur1, Duygu Ucar, Srinivasan Parthasarathy

  • 1Department of Computer Science and Engineering, Ohio State University, USA.

Bioinformatics (Oxford, England)
|July 25, 2007
PubMed
Summary

This study introduces an ensemble clustering framework to improve the identification of functional modules within protein-protein interaction (PPI) networks. The novel approach enhances biological insights by effectively handling network noise and enabling multifaceted protein assignments.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Protein-protein interaction (PPI) networks are crucial for understanding cellular processes.
  • Extracting functional modules from PPI networks is challenging due to noise and network topology.
  • Traditional clustering methods struggle with the complexity and inaccuracies of PPI data.

Purpose of the Study:

  • To develop an advanced ensemble clustering framework for robust functional module discovery in PPI networks.
  • To address limitations of existing methods in handling noisy interactions and topological complexities.
  • To enable more accurate and nuanced identification of protein functions and associations.

Main Methods:

  • Proposed an ensemble clustering framework utilizing novel topology-based distance metrics for base clustering.
  • Developed a Principal Component Analysis (PCA)-based consensus clustering technique for dimensionality reduction and informative cluster generation.
  • Introduced a soft consensus clustering variant to assign proteins to multiple functional groups.

Main Results:

  • Empirical evaluation demonstrated significant benefits of the proposed ensemble clustering approaches over state-of-the-art methods.
  • Topology-based distance metrics effectively counteracted noise in PPI networks.
  • PCA-based consensus clustering yielded informative and reduced-dimensionality clusters.
  • Soft consensus clustering successfully assigned multifaceted proteins to multiple functional groups.

Conclusions:

  • Ensemble clustering provides improved, biologically significant functional groupings in PPI networks.
  • The framework facilitates soft clustering, revealing multiple functional associations for individual proteins.
  • This approach enhances the interpretability and utility of PPI network analysis for biological discovery.