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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Building protein-protein interaction networks with proteomics and informatics tools
Mihaela E Sardiu1, Michael P Washburn
1Stowers Institute for Medical Research, Kansas City, Missouri 64110, USA.
The Journal of Biological Chemistry
|May 14, 2011
Summary
Biological research increasingly uses protein interaction networks to understand complex cellular processes. This review covers methods for identifying protein interactions and building these networks, focusing on quantitative proteomics data.
Area of Science:
- Molecular Biology
- Systems Biology
- Proteomics
Background:
- Eukaryotic proteomes are highly interconnected, necessitating a shift from studying individual proteins to analyzing whole protein interaction networks.
- Understanding protein relationships is crucial for deciphering complex biological processes.
- Classical research approaches focusing on single proteins are being complemented by network-based strategies.
Purpose of the Study:
- To survey common methods for systematic protein interaction identification.
- To exemplify strategies for generating protein interaction networks.
- To highlight recent advancements in protein interaction networks derived from quantitative proteomics.
Main Methods:
- Systematic identification of protein interactions.
- Generation of protein interaction networks.
- Analysis of quantitative proteomics data sets for network construction.
Main Results:
- The eukaryotic proteome is characterized by extensive interconnections.
- Various methods exist for systematically identifying protein interactions.
- Protein interaction networks provide a framework for understanding biological relationships.
- Quantitative proteomics offers advanced strategies for network generation.
Conclusions:
- Protein interaction networks are essential for modern biological research.
- Systematic identification and network generation methods are key to understanding proteome-wide interactions.
- Quantitative proteomics is driving innovation in the field of protein interaction network analysis.
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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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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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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...
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