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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 Networks02:26

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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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 Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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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...
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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
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Neighbor affinity based algorithm for discovering temporal protein complex from dynamic PPI network.

Xianjun Shen1, Li Yi1, Xingpeng Jiang1

  • 1School of Computer, Central China Normal University, Wuhan, China.

Methods (San Diego, Calif.)
|June 21, 2016
PubMed
Summary
This summary is machine-generated.

We developed a new algorithm, DPC-NADPIN, to find temporal protein complexes in dynamic cell networks. This method outperforms existing tools in identifying biologically significant protein complexes.

Keywords:
Clustering coefficientNeighbor affinityTemporal protein complexTime course protein interaction networks

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Area of Science:

  • * Molecular Biology
  • * Systems Biology
  • * Bioinformatics

Background:

  • * Understanding dynamic cellular processes requires identifying temporal protein complexes.
  • * Existing protein complex detection algorithms often overlook network dynamics by relying on static data.
  • * Dynamic protein interaction networks are crucial for capturing the temporal nature of cellular mechanisms.

Purpose of the Study:

  • * To propose a novel algorithm, DPC-NADPIN (Discovering Protein Complexes based on Neighbor Affinity and Dynamic Protein Interaction Network), for identifying temporal protein complexes.
  • * To address the limitations of static network analysis in capturing the dynamic features of protein interactions.
  • * To enhance the understanding of molecular mechanisms in cell life activities through accurate complex detection.

Main Methods:

  • * Developed the DPC-NADPIN algorithm utilizing neighbor affinity and dynamic protein interaction networks.
  • * Initial cluster formation based on proteins with high clustering coefficients and their neighbors.
  • * Iterative refinement of clusters by appending neighbor proteins based on intra- and extra-cluster affinity.

Main Results:

  • * DPC-NADPIN demonstrated superior performance in discovering protein complexes compared to state-of-the-art algorithms (Hunter, MCODE, CFinder, SPICI, ClusterONE).
  • * Identified numerous protein complexes with significant biological relevance, providing valuable insights for researchers.
  • * Confirmed that proteins assemble coordinately, exhibiting temporality and spatiality to perform specific biological functions.

Conclusions:

  • * The DPC-NADPIN algorithm is effective for detecting temporal protein complexes in dynamic protein interaction networks.
  • * The findings highlight the importance of considering temporality and spatiality in protein complex formation and function.
  • * This approach offers a valuable tool for advancing research in molecular biology and systems biology.