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Bioinformatic Resources for Exploring Human-virus Protein-protein Interactions Based on Binding Modes.

Huimin Chen1, Jiaxin Liu1, Gege Tang1

  • 1State Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, China.

Genomics, Proteomics & Bioinformatics
|October 15, 2024
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Summary

This review summarizes bioinformatics resources for studying human-virus protein-protein interactions (PPIs). It provides a comparative analysis to aid researchers in selecting tools for understanding virus-host relationships and developing control strategies.

Keywords:
Artificial intelligenceBioinformatic resourceProtein–protein dockingProtein–protein interactionViral pandemic

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Area of Science:

  • Bioinformatics
  • Virology
  • Molecular Biology

Background:

  • Viral disease outbreaks pose significant global health threats, necessitating a deeper understanding of virus-host interactions.
  • Human-virus protein-protein interactions (PPIs) are crucial for viral pathogenesis and offer targets for therapeutic intervention.
  • The exponential growth of human-virus PPI data presents opportunities for advanced bioinformatics analysis.

Purpose of the Study:

  • To comprehensively review and compare existing bioinformatics resources for human-virus PPI research.
  • To provide researchers with a systematic overview of the functions, performance, and limitations of these resources.
  • To facilitate the efficient exploration of human-virus PPIs and inform the development of antiviral strategies.

Main Methods:

  • Systematic literature search for bioinformatics tools and databases related to human-virus PPIs.
  • Comparative analysis of identified resources based on key features, performance metrics, and documented limitations.
  • Categorization of resources to highlight their specific applications in PPI research.

Main Results:

  • A curated list of bioinformatics resources relevant to human-virus PPIs has been compiled.
  • Detailed comparisons reveal the strengths and weaknesses of various tools and databases.
  • The review identifies gaps and areas for improvement in current bioinformatics support for PPI research.

Conclusions:

  • A comprehensive bioinformatics toolbox is essential for advancing human-virus PPI research.
  • Informed selection of bioinformatics resources can accelerate the discovery of virus-host interaction mechanisms.
  • This review provides a foundation for researchers to effectively utilize available data and tools for developing novel antiviral therapies.