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TMPRSS2 structure-phylogeny repositions Avoralstat for SARS-CoV-2 prophylaxis in mice
Young Joo Sun; Gabriel Velez; Dylan Parsons; Kun Li; Miguel Ortiz; Shaunik Sharma; Paul B McCray; Alexander G Bassuk; Vinit B Mahajan.
Affiliation
  • Young Joo Sun; Stanford University
  • Gabriel Velez; Stanford University
  • Dylan Parsons; Stanford University
  • Kun Li; University of Iowa
  • Miguel Ortiz; University of Iowa
  • Shaunik Sharma; University of Iowa
  • Paul B McCray; University of Iowa
  • Alexander G Bassuk; University of Iowa
  • Vinit B Mahajan; Stanford University
Preprint in En | PREPRINT-BIORXIV | ID: ppbiorxiv-425289
ABSTRACT
Drugs targeting host proteins can act prophylactically to reduce viral burden early in disease and limit morbidity, even with antivirals and vaccination. Transmembrane serine protease 2 (TMPRSS2) is a human protease required for SARS-CoV-2 viral entry and may represent such a target.1-3 We hypothesized drugs selected from proteins related by their tertiary structure, rather than their primary structure, were likely to interact with TMPRSS2. We created a structure-based phylogenetic computational tool 3DPhyloFold to systematically identify structurally similar serine proteases with known therapeutic inhibitors and demonstrated effective inhibition of SARS-CoV-2 infection in vitro and in vivo.4,5 Several candidate compounds, Avoralstat, PCI-27483, Antipain, and Soybean-Trypsin-Inhibitor, inhibited TMPRSS2 in biochemical and cell infection assays. Avoralstat, a clinically tested Kallikrein-related B1 inhibitor,6 inhibited SARS-CoV-2 entry and replication in human airway epithelial cells. In an in vivo proof of principle,5 Avoralstat significantly reduced lung tissue titers and mitigated weight-loss when administered prophylactically to SARS-CoV-2 susceptible mice indicating its potential to be repositioned for COVID-19 prophylaxis in humans.
License
cc_by_nc_nd
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Type of study: Prognostic_studies Language: En Year: 2021 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Type of study: Prognostic_studies Language: En Year: 2021 Document type: Preprint