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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Analyses of Protein Interaction Networks Using Computational Tools.

Shaowei Dong1, Nicholas J Provart2

  • 1Department of Cell and System Biology, Centre for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, ON, Canada.

Methods in Molecular Biology (Clifton, N.J.)
|June 2, 2018
PubMed
Summary

Understanding protein-protein interactions (PPIs) and networks (PPINs) is crucial for cell biology. This review guides researchers on selecting computational tools for PPI database construction, prediction, and network analysis.

Keywords:
Interaction evaluationPPI databasesPPI networks (PPINs)PPI predictionProtein–protein interactions (PPIs)

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Protein-protein interactions (PPIs) and their networks (PPINs) are fundamental to cellular processes.
  • Computational tools are essential for exploring the complexity of PPIs and PPINs.

Purpose of the Study:

  • To review the application of computational tools in the field of protein-protein interactions.
  • To provide guidance for researchers on selecting appropriate computational methods for PPI exploration.

Main Methods:

  • Review of computational tools for PPI database construction.
  • Analysis of methods for PPI prediction.
  • Examination of tools for interaction network construction and analysis.

Main Results:

  • Identified key computational approaches for PPI database construction.
  • Summarized various PPI prediction strategies.
  • Outlined methods for constructing and analyzing PPINs.

Conclusions:

  • Computational tools are vital for advancing our understanding of cellular mechanisms through PPIs.
  • This review offers a framework for researchers to choose effective computational strategies for PPI studies.