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Related Concept Videos

Protein Networks02:26

Protein Networks

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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.
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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
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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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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Modeling and simulating networks of interdependent protein interactions.

Bianca K Stöcker1, Johannes Köster, Eli Zamir

  • 1Genome Informatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany. bianca.stoecker@uni-due.de sven.rahmann@uni-due.de.

Integrative Biology : Quantitative Biosciences From Nano to Macro
|April 21, 2018
PubMed
Summary

This study introduces constrained protein interaction networks that integrate interaction dependencies, enabling accurate simulation of cellular functions and perturbation effects. The developed model and software (CPINSim) facilitate analysis of complex biological systems.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Biochemistry

Background:

  • Protein interactions are crucial for cellular functions.
  • Dependencies between protein interactions, like allostery, significantly impact system complexity.
  • Existing models often lack the ability to formally integrate these interaction dependencies.

Purpose of the Study:

  • To develop a formal model for integrating protein interaction dependencies into biological networks.
  • To create an efficient computational tool for simulating constrained protein interaction networks.
  • To analyze how interaction dependencies influence protein complex formation and perturbation effects.

Main Methods:

  • Utilizing propositional logic to define constrained protein interaction networks.
  • Integrating public interaction databases and text-mined dependency information.
  • Developing an efficient data structure and algorithm for network simulation (CPINSim).

Main Results:

  • Demonstrated efficient simulation of protein complex formation in constrained networks.
  • Enabled analysis of perturbation effects, including protein knockouts and concentration changes.
  • Illustrated the model's utility with a constrained human adhesome network, revealing the impact of dependencies on complex formation.

Conclusions:

  • Constrained protein interaction networks provide a powerful framework for modeling complex cellular systems.
  • The developed simulation approach (CPINSim) is efficient for large networks and perturbation analysis.
  • Understanding interaction dependencies is key to deciphering cellular functions and system responses.