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Updated: Sep 20, 2025

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
Published on: July 18, 2013
A comprehensive SARS-CoV-2-human protein-protein interactome network identifies pathobiology and host-targeting
Yadi Zhou1, Yuan Liu2, Shagun Gupta2,3
1Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, US.
Abstract:
Physical interactions between viral and host proteins are responsible for almost all aspects of the viral life cycle and the host's immune response. Studying viral-host protein-protein interactions is thus crucial for identifying strategies for treatment and prevention of viral infection. Here, we use high-throughput yeast two-hybrid and affinity purification followed by mass spectrometry to generate a comprehensive SARS-CoV-2-human protein-protein interactome network consisting of both binary and co-complex interactions. We report a total of 739 high-confidence interactions, showing the highest overlap of interaction partners among published datasets as well as the highest overlap with genes differentially expressed in samples (such as upper airway and bronchial epithelial cells) from patients with SARS-CoV-2 infection. Showcasing the utility of our network, we describe a novel interaction between the viral accessory protein ORF3a and the host zinc finger transcription factor ZNF579 to illustrate a SARS-CoV-2 factor mediating a direct impact on host transcription. Leveraging our interactome, we performed network-based drug screens for over 2,900 FDA-approved/investigational drugs and obtained a curated list of 23 drugs that had significant network proximities to SARS-CoV-2 host factors, one of which, carvedilol, showed promising antiviral properties. We performed electronic health record-based validation using two independent large-scale, longitudinal COVID-19 patient databases and found that carvedilol usage was associated with a significantly lowered probability (17%-20%, P < 0.001) of obtaining a SARS-CoV-2 positive test after adjusting various confounding factors. Carvedilol additionally showed anti-viral activity against SARS-CoV-2 in a human lung epithelial cell line [half maximal effective concentration (EC 50 ) value of 4.1 µM], suggesting a mechanism for its beneficial effect in COVID-19. Our study demonstrates the value of large-scale network systems biology approaches for extracting biological insight from complex biological processes.
Insights
This study maps SARS-CoV-2 protein interactions with human cells, identifying 739 interactions and discovering carvedilol as a potential COVID-19 treatment. Carvedilol shows antiviral activity and is linked to reduced positive test rates in patients.
Area of Science:
- Virology
- Systems Biology
- Drug Discovery
Background:
- Viral-host protein-protein interactions are critical for viral replication and host immune responses, making them key targets for therapeutic strategies.
- Understanding the comprehensive SARS-CoV-2-human interactome is essential for identifying novel drug targets and treatment interventions.
Approach:
- Generated a high-confidence SARS-CoV-2-human protein-protein interaction network using yeast two-hybrid and mass spectrometry.
- Identified 739 high-confidence interactions, demonstrating significant overlap with existing datasets and differentially expressed genes in COVID-19 patients.
- Performed network-based drug screening of over 2,900 drugs to identify compounds targeting SARS-CoV-2 host factors.
Key Points:
- Discovered a novel interaction between SARS-CoV-2 ORF3a and host ZNF579, highlighting a mechanism for viral impact on host transcription.
- Identified 23 potential drugs, including carvedilol, with significant network proximity to SARS-CoV-2 host factors.
- Carvedilol demonstrated antiviral activity in vitro and was associated with a reduced likelihood of SARS-CoV-2 positivity in electronic health records.
Conclusions:
- Large-scale network systems biology approaches are valuable for biological insight extraction and identifying therapeutic candidates.
- The identified SARS-CoV-2-human interactome provides a resource for further research into viral pathogenesis and drug development.
- Carvedilol shows promise as a repurposed drug for COVID-19 treatment, warranting further clinical investigation.
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