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Related Concept Videos

Protein Networks02:26

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 Networks02:26

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 Interfaces02:04

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...
IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and produces two-second...
Applications Of NMR In Biology01:25

Applications Of NMR In Biology

Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
The...

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Related Experiment Video

Updated: May 21, 2026

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

Published on: October 19, 2021

A quick guide to biomolecular network studies: construction, analysis, applications, and resources.

Hailin Tang1, Fan Zhong, Hongwei Xie

  • 1College of Mechanical & Electronic Engineering and Automatization, National University of Defense Technology, Changsha 410073, China.

Biochemical and Biophysical Research Communications
|June 27, 2012
PubMed
Summary

Biological network analysis, including signaling and genetic interactions, offers insights into complex biological issues and disease studies. This review covers network construction, analysis, applications, and resources for biologists.

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Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Rapid increase in diverse biological network data (signaling, transcription, metabolism, protein-protein, genetic interactions).
  • Network analysis is crucial for investigating biological issues and gaining new insights.
  • Networks are vital in disease studies, including gene screening and diagnosis.

Purpose of the Study:

  • To review the main aspects of biological network studies.
  • To highlight the importance of network data in biological research and disease investigation.

Main Methods:

  • Literature review of network construction, analysis, application, and resources.
  • Discussion of databases and software for network data management and analysis.

Main Results:

  • Biological networks provide valuable insights into complex biological systems.
  • Network analysis facilitates disease gene screening and clinical diagnosis.
  • Numerous databases and software tools support network data integration and analysis.

Conclusions:

  • Network analysis is an essential and routine procedure for modern biologists.
  • The review consolidates key areas of network studies, aiding researchers in leveraging biological network data.