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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...
Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...

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Related Experiment Video

Updated: Jul 8, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Experimental validation for quantitative protein network models.

Satoshi Nishizuka1, Brett Spurrier

  • 1Molecular Translational Technology, Molecular Therapeutics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Building 37, Room 1126B, 9000 Rockville Pike, Bethesda, MD 20892, USA. nishizus@mail.nih.gov

Current Opinion in Biotechnology
|January 12, 2008
PubMed
Summary
This summary is machine-generated.

Scientists developed reverse-phase lysate microarrays to experimentally validate complex protein network formulas. This technology provides a crucial resource for theoretical biology, enabling quantitative descriptions of cellular responses.

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Last Updated: Jul 8, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

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Published on: August 21, 2019

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

Area of Science:

  • Systems Biology
  • Proteomics
  • Computational Biology

Background:

  • Cellular responses arise from intricate protein network reactions.
  • Quantitative, formula-based descriptions are needed for these complex networks.
  • Experimental validation of these formulas has been challenging due to a lack of suitable methods.

Purpose of the Study:

  • To introduce and validate reverse-phase lysate microarrays as a tool for experimental validation of protein network theories.
  • To provide an experimental reference point for the theoretical biology of protein networks.

Main Methods:

  • Development and application of reverse-phase lysate microarrays.
  • Utilizing microarrays for high-throughput screening of protein interactions and functions.
  • Comparing experimental data with theoretical models of cellular responses.

Main Results:

  • Reverse-phase lysate microarrays demonstrate significant utility for validating theoretical models.
  • The technology facilitates the quantitative description of protein network reactions.
  • Established a resource for experimental validation in theoretical biology.

Conclusions:

  • Reverse-phase lysate microarrays are a powerful tool for the experimental validation of protein network theories.
  • This approach bridges the gap between theoretical models and experimental data in systems biology.
  • Enables a more quantitative understanding of cellular responses governed by protein networks.