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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-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

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 Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

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Related Experiment Video

Updated: May 4, 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

Dynamic protein interaction network construction and applications.

Jianxin Wang¹, Xiaoqing Peng, Wei Peng

¹School of Information Science and Engineering, Central South University, Changsha, P. R. China.

|December 17, 2013

Summary

This summary is machine-generated.

Researchers are constructing dynamic protein interaction networks (DPINs) using multi-omics data to understand biological systems. This review covers DPIN construction, applications in disease biomarker discovery, and future research directions.

Keywords:

Bioinformatics Biomarker Dynamic protein interaction networks Gene expression Network medicine Protein complex

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

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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Area of Science:

Systems Biology
Bioinformatics
Computational Biology

Background:

Research focus shifts from static to dynamic properties of protein-protein interaction networks.
Dynamic protein interaction networks (DPINs) are crucial for understanding biological processes.
Current technologies have limitations in detecting dynamic protein interactions.

Purpose of the Study:

To review methods for constructing DPINs.
To discuss applications of DPINs in various biological and medical fields.
To identify challenges and future directions in DPIN research.

Main Methods:

DPINs constructed using proteomic, genomic, and transcriptome data.
Classification of DPIN construction methods based on dynamic information extraction from gene expression data.
Methods focus on changes in protein presence over time or differences in coexpression under various conditions.

Main Results:

DPINs enable analysis of protein complexes, functional modules, and network organization.
DPINs aid in detecting biomarkers for disease progression and prognosis.
DPINs are applicable to network medicine approaches.

Conclusions:

DPINs offer a dynamic perspective on protein interactions, complementing static network analysis.
The review highlights the utility of DPINs in advancing biological understanding and clinical applications.
Addressing current challenges in DPIN construction is essential for future research and development.