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  1. AU="Rabensteiner, Toni"
  2. AU="Chowdhury, Forhad Uddin Hassan" AU="Chowdhury, Forhad Uddin Hassan"
  3. AU=Verdone Loredana AU=Verdone Loredana
  4. AU="Venegas, M"
  5. AU="Burtnick, Mary N"
  6. AU=Frisoni Giovanni B
  7. AU="Dhiraj Kumar"
  8. AU="Isaac S. Lee"
  9. AU="Bals, Julia"
  10. AU="Rovira-Clavé, Xavier"
  11. AU="Den Boer, Monique L"
  12. AU="Potts, T."
  13. AU="Cifuentes-Diaz, Carmen"
  14. AU="Alvim, Ricardo G"
  15. AU="Barron II, Joseph C"
  16. AU="Godin, Shea-Lee"
  17. AU="Leng, Chengcai"
  18. AU="Hyslop, Brian W"
  19. AU="Suzanne Fischer"
  20. AU="Aboelata, Noha"
  21. AU="Chiang, Sarah N"
  22. AU="Wessel, Kristin M"
  23. AU="Wilson, Jenna M"
  24. AU="Goines, Paula"
  25. AU=Ippolito Mariachiara AU=Ippolito Mariachiara
  26. AU="Jose Chauca"
  27. AU="Asih, Puji B S"
  28. AU="Dsane-Selby, Lydia"
  29. AU="Tolossa, Tadesse"
  30. AU="Erdal Bedir"

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  1. Artikel: A comprehensive study of SARS-CoV-2 main protease (M

    Costacurta, Francesco / Dodaro, Andrea / Bante, David / Schöppe, Helge / Sprenger, Bernhard / Moghadasi, Seyed Arad / Fleischmann, Jakob / Pavan, Matteo / Bassani, Davide / Menin, Silvia / Rauch, Stefanie / Krismer, Laura / Sauerwein, Anna / Heberle, Anne / Rabensteiner, Toni / Ho, Joses / Harris, Reuben S / Stefan, Eduard / Schneider, Rainer /
    Kaserer, Teresa / Moro, Stefano / von Laer, Dorothee / Heilmann, Emmanuel

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Nirmatrelvir was the first protease inhibitor (PI) specifically developed against the SARS-CoV-2 main protease ( ... ...

    Abstract Nirmatrelvir was the first protease inhibitor (PI) specifically developed against the SARS-CoV-2 main protease (3CL
    Sprache Englisch
    Erscheinungsdatum 2023-10-04
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2023.09.22.558628
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: A comprehensive study of SARS-CoV-2 main protease (Mpro) inhibitor-resistant mutants selected in a VSV-based system

    Costacurta, Francesco / Dodaro, Andrea / Bante, David / Schoeppe, Helge / Sprenger, Bernhard / Moghadasi, Seyed Arad / Fleischmann, Jakob / Pavan, Matteo / Bassani, Davide / Menin, Silvia / Rauch, Stefanie / Krismer, Laura / Sauerwein, Anna / Heberle, Anne / Rabensteiner, Toni / Ho, Joses / Harris, Reuben S / Stefan, Eduard / Schneider, Rainer /
    Kaserer, Teresa / Moro, Stefano / von Laer, Dorothee / Heilmann, Emmanuel

    bioRxiv

    Abstract: Nirmatrelvir was the first protease inhibitor (PI) specifically developed against the SARS-CoV-2 main protease (3CL ... pro ... /M ... pro ... ) and licensed for clinical use. As SARS-CoV-2 continues to spread, variants resistant to nirmatrelvir and ... ...

    Abstract Nirmatrelvir was the first protease inhibitor (PI) specifically developed against the SARS-CoV-2 main protease (3CL<sup>pro</sup>/M<sup>pro</sup>) and licensed for clinical use. As SARS-CoV-2 continues to spread, variants resistant to nirmatrelvir and other currently available treatments are likely to arise. This study aimed to identify and characterize mutations that confer resistance to nirmatrelvir. To safely generate M<sup>pro</sup> resistance mutations, we passaged a previously developed chimeric vesicular stomatitis virus (VSV-M<sup>pro</sup>) with increasing, yet suboptimal concentrations of nirmatrelvir, using Wuhan-1 and Omicron M<sup>pro</sup> variants, and selected a large set of mutants. Some mutations are frequently present in GISAID, suggesting their relevance in SARS-CoV-2. The resistance phenotype of a subset of mutations was characterized against clinically available PIs (nirmatrelvir and ensitrelvir) with cell-based and biochemical assays. Moreover, we showed the putative molecular mechanism of resistance based on in silico molecular modelling. These findings will help to understand SARS-CoV-2 protease-inhibitor-resistance mechanisms, the relevance of specific in the clinic and thereby inform treatment decisions.
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2023-09-25
    Verlag Cold Spring Harbor Laboratory
    Dokumenttyp Artikel ; Online
    DOI 10.1101/2023.09.22.558628
    Datenquelle COVID19

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