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Protein Networks

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 Networks

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 Interfaces

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...

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Related Experiment Video

Updated: May 15, 2026

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

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

Published on: March 3, 2015

Opportunities for protein interaction network-guided cellular engineering.

Phillip C Wright¹, Stephen Jaffe, Josselin Noirel

¹Department of Chemical and Biological Engineering, ChELSI Institute, The University of Sheffield, Sheffield, UK. p.c.wright@sheffield.ac.uk

|January 3, 2013

Summary

This summary is machine-generated.

Systems biology and mass spectrometry advance cellular engineering by analyzing protein interactions. This knowledge enables new designs for biotechnology applications in medicine and energy.

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

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Published on: October 19, 2021

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Last Updated: May 15, 2026

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

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

Published on: March 3, 2015

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

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

Published on: October 19, 2021

Area of Science:

Biotechnology
Systems Biology
Synthetic Biology

Background:

The postgenomics era yields vast biological data, necessitating advanced analytical tools for deeper biological understanding.
Modern mass spectrometry and bioinformatics are crucial for interpreting complex biological data, including protein identification and modification states.

Purpose of the Study:

To explore the role of protein-protein interactions in cellular engineering strategies.
To demonstrate how network knowledge of protein interactions can inform ambitious cellular engineering designs.

Main Methods:

Utilizing mass spectrometry for proteomic analysis.
Applying systems biology and bioinformatics tools for data interpretation and modeling.
Examining existing research on protein-protein interaction networks.

Main Results:

Mass spectrometry facilitates understanding of protein presence, abundance, and modifications.
Bioinformatics and systems biology modeling can guide genetic and metabolic engineering targets.
Protein interaction network knowledge is vital for effective cellular engineering.

Conclusions:

Cellular engineering, through metabolic engineering and synthetic biology, holds significant biotechnological potential.
Understanding protein-protein interactions is key to designing and implementing successful cellular engineering strategies.
This approach has applications in producing biofuels, biopharmaceuticals, and chemicals.