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A highly sensitive cell-based luciferase assay for high-throughput automated screening of SARS-CoV-2 nsp5/3CLpro inhibitors
Kuang-Yu Chen; Tim Krischuns; Laura Ortega Varga; Emna Harigua-Souiai; Sylvain Paisant; Agnes Zettor; Jeanne Chiaravalli; David Courtney; Susan Baker; Catherine Isel; Fabrice Agou; Yves Jacob; Arnaud Blondel; Nadia Naffakh.
Affiliation
  • Kuang-Yu Chen; RNA Biology and Influenza Virus Unit, Institut Pasteur, CNRS UMR3569, Universite de Paris, Paris, France
  • Tim Krischuns; RNA Biology and Influenza Virus Unit, Institut Pasteur, CNRS UMR3569, Universite de Paris, Paris, France
  • Laura Ortega Varga; Structural Bioinformatics Unit, Institut Pasteur, Paris, France
  • Emna Harigua-Souiai; Laboratory of Molecular Epidemiology and Experimental Pathology, LR16IPT04, Institut Pasteur de Tunis, Universite de Tunis El Manar, Tunis, Tunisia
  • Sylvain Paisant; RNA Biology and Influenza Virus Unit, Institut Pasteur, CNRS UMR3569, Universite de Paris, Paris, France
  • Agnes Zettor; Chemogenomic and Biological Screening Platform, Institut Pasteur, Paris, France
  • Jeanne Chiaravalli; Chemogenomic and Biological Screening Platform, Institut Pasteur, Paris, France
  • David Courtney; RNA Biology and Influenza Virus Unit, Institut Pasteur, CNRS UMR3569, Universite de Paris, Paris, France
  • Susan Baker; Department of Microbiology and Immunology, Loyola University Chicago, Stritch School of Medicine, Maywood, IL, USA
  • Catherine Isel; RNA Biology and Influenza Virus Unit, Institut Pasteur, CNRS UMR3569, Universite de Paris, Paris, France
  • Fabrice Agou; Chemogenomic and Biological Screening Platform, Institut Pasteur, Paris, France
  • Yves Jacob; Molecular Genetics of RNA Viruses, Institut Pasteur, CNRS UMR3569, Universite de Paris, Paris, France
  • Arnaud Blondel; Structural Bioinformatics Unit, Institut Pasteur, Paris, France
  • Nadia Naffakh; RNA Biology and Influenza Virus Unit, Institut Pasteur, CNRS UMR3569, Universite de Paris, Paris, France
Preprint in English | bioRxiv | ID: ppbiorxiv-473303
ABSTRACT
Effective drugs against SARS-CoV-2 are urgently needed to treat severe cases of infection and for prophylactic use. The main viral protease (nsp5 or 3CLpro) represents an attractive and possibly broad-spectrum target for drug development as it is essential to the virus life cycle and highly conserved among betacoronaviruses. Sensitive and efficient high-throughput screening methods are key for drug discovery. Here we report the development of a gain-of-signal, highly sensitive cell-based luciferase assay to monitor SARS-CoV-2 nsp5 activity and show that it is suitable for high-throughput screening of compounds in a 384-well format. A benefit of miniaturisation and automation is that screening can be performed in parallel on a wild-type and a catalytically inactive nsp5, which improves the selectivity of the assay. We performed molecular docking-based screening on a set of 14,468 compounds from an in-house chemical database, selected 359 candidate nsp5 inhibitors and tested them experimentally. We identified four molecules, including the broad-spectrum antiviral merimepodib/VX-497, which show anti-nsp5 activity and inhibit SARS-CoV-2 replication in A549-ACE2 cells with IC50 values in the 4-21 {micro}M range. The here described assay will allow the screening of large-scale compound libraries for SARS-CoV-2 nsp5 inhibitors. Moreover, we provide evidence that this assay can be adapted to other coronaviruses and viruses which rely on a viral protease.
License
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Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2021 Document type: Preprint
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