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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...
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...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Protein Complexes with Interchangeable Parts01:57

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 to...

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Related Experiment Video

Updated: Jun 22, 2026

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

Information flow analysis of interactome networks.

Patrycja Vasilyev Missiuro1, Kesheng Liu, Lihua Zou

  • 1Whitehead Institute for Biomedical Research, Cambridge, Massachusetts, USA.

Plos Computational Biology
|June 9, 2009
PubMed
Summary

We developed information flow analysis to identify key proteins in cellular networks. High information flow scores predict essential genes, revealing crucial roles in biological processes and tissue function.

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Last Updated: Jun 22, 2026

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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Area of Science:

  • Systems Biology
  • Computational Biology
  • Network Science

Background:

  • Cellular networks exhibit modular organization, with proteins forming complexes and pathways.
  • Understanding information transmission between these modules is crucial but poorly understood.

Purpose of the Study:

  • To develop a novel computational approach, information flow analysis, to identify proteins central to biological information transmission.
  • To evaluate the predictive power of information flow scores for protein function and network behavior.

Main Methods:

  • Representing interactome networks as electrical circuits to model signal propagation.
  • Calculating an information flow score for each protein, integrating interaction confidence and all network paths.
  • Applying the method to Saccharomyces cerevisiae and Caenorhabditis elegans interactome networks.

Main Results:

  • Information flow scores positively correlate with lethality and pleiotropy upon protein elimination.
  • High information flow predicts loss-of-function phenotypes, even for proteins with low topological centrality.
  • Information flow scores demonstrate greater robustness to noisy data compared to betweenness centrality.

Conclusions:

  • Proteins with high information flow are central to interactome networks and critical for biological processes.
  • The information flow model effectively predicts essential genes and can be applied to tissue-specific networks.
  • This framework offers a powerful tool for analyzing complex biological networks across different organisms and tissues.