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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

Protein Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

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...

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...

Protein-Protein Interfaces

Protein-Protein Interfaces

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Related Experiment Video

Updated: Apr 17, 2026

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

From the static interactome to dynamic protein complexes: Three challenges.

Chern Han Yong¹, Limsoon Wong

¹Graduate School for Integrative Sciences and Engineering, National University of Singapore, 28 Medical Drive, Singapore 117456, Singapore.

Journal of Bioinformatics and Computational Biology

|February 6, 2015

Summary

This summary is machine-generated.

Protein-protein interaction (PPI) networks fail to capture the dynamic nature of protein complexes. This study addresses challenges in identifying dynamic complexes from static data, improving complex discovery algorithms.

Keywords:

Protein complex dynamism protein interaction

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

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Last Updated: Apr 17, 2026

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

Analyzing Dynamic Protein Complexes Assembled On and Released From Biolayer Interferometry Biosensor Using Mass Spectrometry and Electron Microscopy

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Published on: August 6, 2018

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

Area of Science:

Biochemistry
Systems Biology
Bioinformatics

Background:

Protein interactions are dynamic, but current screening technologies and protein-protein interaction (PPI) networks represent them statically.
This static representation poses challenges for accurately identifying dynamic protein complexes.

Purpose of the Study:

To identify and address the challenges in deriving dynamic protein complexes from static PPI data.
To improve the performance of protein complex discovery algorithms by accounting for the dynamic nature of protein interactions.

Main Methods:

Analysis of static protein interaction data.
Identification of challenges in current protein complex discovery algorithms.
Development of insights to bridge the gap between static interactome data and dynamic protein complexes.

Main Results:

Three key challenges were identified: overlapping complexes in dense PPI network regions, undetected condition/location-specific interactions leading to sparse complexes, and sensitivity of small complexes to data noise.
Existing complex discovery algorithms struggle with accurately predicting dynamic protein complexes, especially small ones.
The study demonstrates that understanding the disparity between static and dynamic data can enhance complex discovery.

Conclusions:

Accurately modeling the dynamic nature of protein complexes is crucial for biological network analysis.
Addressing the identified challenges can lead to more robust and accurate protein complex discovery.
The insights gained can significantly improve computational methods for identifying functional protein assemblies.