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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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Mapping Dysfunctional Protein-Protein Interactions in Disease
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Published on: October 24, 2025

Discovering functional interdependence relationship in PPI networks for protein complex identification.

Winnie W M Lam1, Keith C C Chan

  • 1Department of Computing, The Hong Kong Polytechnic University, Hung Hom 999077, Hong Kong. hk.winnielam@gmail.com

IEEE Transactions on Bio-Medical Engineering
|November 25, 2010
PubMed
Summary

A new method, protein complex identification by discovering functional interdependence (PCIFI), identifies protein complexes by analyzing functional links, not just connectivity. This approach improves accuracy and reduces false positives in protein-protein interaction networks.

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Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
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Published on: November 12, 2012

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Protein complexes are crucial for cellular functions and are studied using protein-protein interaction (PPI) networks.
  • Existing computational methods for identifying protein complexes often rely on subgraph connectivity, which can lead to low matching rates and high false positives.
  • The assumption of high interconnectedness within protein complexes may not always hold true, limiting the effectiveness of current techniques.

Purpose of the Study:

  • To develop a novel computational technique for identifying protein complexes that does not rely on the assumption of high internal connectivity.
  • To improve the accuracy and reduce the false-alarm rate in protein complex identification from PPI networks.
  • To incorporate functional interdependence alongside network topology for more robust complex detection.

Main Methods:

  • Developed Protein Complex Identification by Discovering Functional Interdependence (PCIFI), a multi-step technique.
  • Constructed a multiple-function protein network graph, labeling nodes with their molecular functions.
  • Filtered interactions based on statistical functional interdependence and quantified interdependence strength using an information-theoretic measure.
  • Formed protein complexes by integrating functional interdependence strength and network connectivity.

Main Results:

  • PCIFI successfully identified protein complexes in real PPI network data.
  • The identified complexes showed a higher matching rate with experimentally determined complexes (MIPS database) compared to existing methods.
  • PCIFI demonstrated a significantly reduced false-alarm rate.
  • The method provided insights into functional interdependence relationships within protein complexes.

Conclusions:

  • PCIFI is an effective technique for identifying protein complexes, offering improved accuracy and reduced false positives.
  • By considering functional interdependence, PCIFI overcomes limitations of topology-based methods.
  • The approach enhances our understanding of protein complex organization and function.