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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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OpenPIP: An Open-source Platform for Hosting, Visualizing and Analyzing Protein Interaction Data.

Mohamed Helmy1, Miles Mee2, Aniket Ranjan3

  • 1Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada.

Journal of Molecular Biology
|June 6, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed the Open-source Protein Interaction Platform (openPIP), a customizable web portal for storing and visualizing protein-protein interaction (PPI) data. This free tool simplifies sharing experimental interactome maps without requiring coding skills.

Keywords:
interactomeprotein interaction databaseprotein interactions

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding protein-protein interactions (PPIs) is crucial for deciphering cellular processes and disease mechanisms.
  • Advances in high-throughput technologies have generated extensive genome-wide PPI maps.
  • Disseminating and analyzing these complex datasets presents a significant challenge.

Purpose of the Study:

  • To develop a user-friendly, customizable web portal for hosting and sharing experimental PPI maps.
  • To provide a solution for researchers to store, visualize, and analyze PPI data without requiring coding expertise.
  • To facilitate the dissemination of interactome data alongside primary research publications.

Main Methods:

  • Development of the Open-source Protein Interaction Platform (openPIP) as a web-based portal.
  • openPIP is designed as a customizable solution requiring no coding skills for setup and customization.
  • The platform is available as a ready-to-use Docker container for easy deployment.

Main Results:

  • openPIP enables the storage, visualization, analysis, and web-based dissemination of experimental PPI maps.
  • The platform has been successfully utilized to create web portals for the Human and Yeast Reference Protein Interactome maps (HuRI and YeRI).
  • openPIP offers a no-code solution for researchers to manage and share their PPI datasets.

Conclusions:

  • openPIP provides a valuable, accessible resource for the scientific community to manage and share protein-protein interaction data.
  • The platform streamlines the process of making complex interactome datasets publicly available.
  • openPIP supports the broader goals of data sharing and reproducibility in biological research.