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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...

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Updated: Dec 9, 2025

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

Comprehensive host-pathogen protein-protein interaction network analysis.

Babak Khorsand¹, Abdorreza Savadi^2,3, Mahmoud Naghibzadeh⁴

¹Computer Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

BMC Bioinformatics

|September 11, 2020

Summary

This summary is machine-generated.

Understanding virus mechanisms requires studying host-pathogen protein interactions. New network analysis methods reveal virus attack strategies and identify essential host proteins for drug design.

Keywords:

Bipartite network Centrality Essential proteins Network analysis Pathogen-host protein interaction network

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Last Updated: Dec 9, 2025

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

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Published on: July 18, 2013

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

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Published on: March 5, 2022

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

Area of Science:

Systems Biology
Bioinformatics
Network Science

Background:

Infectious diseases pose a global health threat, necessitating a deeper understanding of viral mechanisms.
Investigating host-pathogen protein-protein interactions is crucial for deciphering viral infection strategies.
Human proteins targeted by viruses often exhibit high centrality in protein-protein interaction networks.

Purpose of the Study:

To analyze the properties of human proteins targeted by viruses within the host-pathogen protein-protein interaction network.
To develop novel centrality measures for analyzing bipartite networks, specifically host-pathogen interactions.
To identify key host proteins crucial for viral survival and potential drug targets.

Main Methods:

Integrated 32,859 experimentally verified interactions between human and viral proteins.
Developed seven new centrality measures tailored for bipartite host-pathogen networks.
Applied existing and novel centrality measures to analyze network properties and identify essential host proteins.

Main Results:

Virus proteins exhibit non-random attack strategies, targeting specific host proteins.
Most targeted human proteins possess high centrality scores in the human interactome.
A newly proposed centrality measure, 'diversity of predators,' excels at identifying essential host proteins.

Conclusions:

Network analysis of host-pathogen interactions provides insights into viral infection mechanisms.
Novel centrality measures enhance the analysis of bipartite networks and pathogen strategies.
The 'diversity of predators' centrality is a superior marker for identifying essential host proteins, aiding in drug discovery.