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Updated: Nov 29, 2025

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
13:56

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

11.4K

The IMEx coronavirus interactome: an evolving map of Coronaviridae-host molecular interactions

L Perfetto1, C Pastrello2, N Del-Toro1

  • 1European Molecular Biology Laboratory, Wellcome Genome Campus, European Bioinformatics Institute (EMBL-EBI), Hinxton, CB10 1SD, UK.

Database : the Journal of Biological Databases and Curation
|November 18, 2020
PubMed

Insights

A new dataset details over 4400 physical molecular interactions for SARS-CoV-2 and related coronaviruses. This resource aids understanding of virus biology and human response for developing COVID-19 treatments.

Area of Science:

  • Molecular Biology
  • Virology
  • Bioinformatics

Background:

  • The COVID-19 pandemic necessitates rapid research into SARS-CoV-2.
  • Understanding molecular interactions is crucial for disease mechanisms and treatment development.
  • Coronaviridae family proteins play key roles in viral pathogenesis.

Purpose of the Study:

  • To present a curated dataset of physical molecular interactions for coronaviruses.
  • To support research on SARS-CoV-2, SARS-CoV-1, and other Coronaviridae.
  • To provide a valuable resource for the scientific community studying these viruses.

Main Methods:

  • Manual extraction of protein-protein interactions by International Molecular Exchange (IMEx) Consortium curators.
  • Focus on proteins from SARS-CoV-2, SARS-CoV-1, and other Coronaviridae.
  • Data curation and validation following established standards.

Main Results:

  • A dataset comprising over 4400 binarized molecular interactions.
  • Interactions extracted from 151 peer-reviewed publications.
  • Data available in standard Proteomics Standards Initiative (HUPO-PSI) formats.

Conclusions:

  • The curated dataset offers a valuable resource for COVID-19 research.
  • Facilitates deeper understanding of coronavirus molecular mechanisms.
  • The dataset will be continuously updated to reflect ongoing research progress.

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