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Updated: Nov 19, 2025

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

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

Published on: July 18, 2013

A parsimonious approach for recognizing SARS-CoV-2 and host interactions.

Bhaskar Ganguly¹

¹Department of Clinical Research, Research and Development Division, Ayurvet Limited, Baddi, Himachal Pradesh, India.

Journal of Medical Virology

|January 28, 2021

Summary

This study used sequence complementarity between human and SARS-CoV-2 genomes to predict host-virus interactions. Findings suggest SARS-CoV-2 directly impacts cardiac health, validating this approach for novel pathogens.

Keywords:

COVID-19 SARS-CoV-2 host interaction parsimony pathology

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Last Updated: Nov 19, 2025

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

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Published on: July 18, 2013

Arbovirus Infections As Screening Tools for the Identification of Viral Immunomodulators and Host Antiviral Factors

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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

Area of Science:

Virology
Genomics
Bioinformatics

Background:

Understanding pathogen-host interactions is crucial for developing effective countermeasures against novel viruses like SARS-CoV-2.
Information on host targets, responses, and effects of SARS-CoV-2 is limited, hindering effective therapeutic strategies.
Evolutionarily conserved peptide domains at host-pathogen interfaces suggest sequence similarity can infer interactions.

Purpose of the Study:

To identify host-virus interactions using sequence complementarity between human and SARS-CoV-2 genomes.
To predict interactions at various biological organization levels.
To investigate potential direct effects of SARS-CoV-2 on cardiac health.

Main Methods:

A parsimonious approach analyzing sequence complementarity between human and SARS-CoV-2 genomes.
Utilizing genomic sequence similarities to predict potential host-pathogen interaction sites.
Cross-referencing predicted interactions with existing literature on host responses to viral infections.

Main Results:

Several host-SARS-CoV-2 interactions were predicted across different biological levels.
The study provides evidence suggesting a direct impact of SARS-CoV-2 on cardiac health.
Many predicted interactions are supported by existing literature on host responses to SARS-CoV-2 and other viruses.

Conclusions:

Sequence complementarity is a viable method for predicting host-pathogen interactions, even for novel viruses.
The findings highlight the potential for SARS-CoV-2 to directly affect cardiac function.
This approach offers a valuable tool for rapidly identifying interactions with emerging infectious agents.