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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
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The Landscape of Virus-Host Protein-Protein Interaction Databases.

Gabriel Valiente1

  • 1Algorithms, Bioinformatics, Complexity and Formal Methods Research Group, Department of Computer Science, Technical University of Catalonia, Barcelona, Spain.

Frontiers in Microbiology
|August 1, 2022
PubMed
Summary
This summary is machine-generated.

This review systematically analyzes virus-host protein-protein interaction databases, highlighting their scope, functionality, and data overlap. It provides a comprehensive overview of current resources for studying viral infections and host responses.

Keywords:
overlapprotein–protein interactionprotein–protein interaction databasevirus-host protein–protein interactionvirus-host protein–protein interaction database

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Area of Science:

  • Virology
  • Bioinformatics
  • Systems Biology

Background:

  • High-throughput screening technologies have significantly advanced the study of virus-host interactomes.
  • Understanding virus-host protein-protein interactions is crucial for deciphering viral pathogenesis and host defense mechanisms.

Purpose of the Study:

  • To systematically review and evaluate available virus-host protein-protein interaction database resources.
  • To assess databases based on specificity, content volume, and functional utility (browse, search, visualization, download).
  • To analyze data overlap and network structure across different virus-host interaction databases.

Main Methods:

  • Systematic literature review of virus-host protein-protein interaction databases.
  • Categorization of databases into generic and specific (virus or host-focused).
  • Comparative analysis of database features, including interaction count, specificity, and functionalities.
  • Assessment of database overlap and network properties.

Main Results:

  • Identified and reviewed a range of virus-host protein-protein interaction databases.
  • Evaluated databases on criteria such as specificity, number of interactions, and user functionalities.
  • Quantified the overlap in interaction data among different databases.
  • Characterized the structure of the virus-host protein-protein interaction network.

Conclusions:

  • The current landscape of virus-host interaction databases offers valuable resources but varies in scope and functionality.
  • Understanding database overlap and network structure is essential for comprehensive interactome analysis.
  • Further development and integration of these databases can enhance research into virus-host interactions and disease mechanisms.