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A yeast-based system to study SARS-CoV-2 M(pro) structure and to identify nirmatrelvir resistant mutations

The SARS-CoV-2 main protease (M(pro)) is a major therapeutic target. The M(pro) inhibitor, nirmatrelvir, is the antiviral component of Paxlovid, an orally available treatment for COVID-19. As M(pro) inhibitor use increases, drug resistant mutations will likely emerge. We have established a non-patho...

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Autores principales: Ou, Jin, Lewandowski, Eric M., Hu, Yanmei, Lipinski, Austin A., Aljasser, Ali, Colon-Ascanio, Mariliz, Morgan, Ryan T., Jacobs, Lian M. C., Zhang, Xiujun, Bikowitz, Melissa J., Langlais, Paul R., Tan, Haozhou, Wang, Jun, Chen, Yu, Choy, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499260/
https://www.ncbi.nlm.nih.gov/pubmed/37651467
http://dx.doi.org/10.1371/journal.ppat.1011592
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author Ou, Jin
Lewandowski, Eric M.
Hu, Yanmei
Lipinski, Austin A.
Aljasser, Ali
Colon-Ascanio, Mariliz
Morgan, Ryan T.
Jacobs, Lian M. C.
Zhang, Xiujun
Bikowitz, Melissa J.
Langlais, Paul R.
Tan, Haozhou
Wang, Jun
Chen, Yu
Choy, John S.
author_facet Ou, Jin
Lewandowski, Eric M.
Hu, Yanmei
Lipinski, Austin A.
Aljasser, Ali
Colon-Ascanio, Mariliz
Morgan, Ryan T.
Jacobs, Lian M. C.
Zhang, Xiujun
Bikowitz, Melissa J.
Langlais, Paul R.
Tan, Haozhou
Wang, Jun
Chen, Yu
Choy, John S.
author_sort Ou, Jin
collection PubMed
description The SARS-CoV-2 main protease (M(pro)) is a major therapeutic target. The M(pro) inhibitor, nirmatrelvir, is the antiviral component of Paxlovid, an orally available treatment for COVID-19. As M(pro) inhibitor use increases, drug resistant mutations will likely emerge. We have established a non-pathogenic system, in which yeast growth serves as an approximation for M(pro) activity, enabling rapid identification of mutants with altered enzymatic activity and drug sensitivity. The E166 residue is known to be a potential hot spot for drug resistance and yeast assays identified substitutions which conferred strong nirmatrelvir resistance and others that compromised activity. On the other hand, N142A and the P132H mutation, carried by the Omicron variant, caused little to no change in drug response and activity. Standard enzymatic assays confirmed the yeast results. In turn, we solved the structures of M(pro) E166R, and M(pro) E166N, providing insights into how arginine may drive drug resistance while asparagine leads to reduced activity. The work presented here will help characterize novel resistant variants of M(pro) that may arise as M(pro) antivirals become more widely used.
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spelling pubmed-104992602023-09-14 A yeast-based system to study SARS-CoV-2 M(pro) structure and to identify nirmatrelvir resistant mutations Ou, Jin Lewandowski, Eric M. Hu, Yanmei Lipinski, Austin A. Aljasser, Ali Colon-Ascanio, Mariliz Morgan, Ryan T. Jacobs, Lian M. C. Zhang, Xiujun Bikowitz, Melissa J. Langlais, Paul R. Tan, Haozhou Wang, Jun Chen, Yu Choy, John S. PLoS Pathog Research Article The SARS-CoV-2 main protease (M(pro)) is a major therapeutic target. The M(pro) inhibitor, nirmatrelvir, is the antiviral component of Paxlovid, an orally available treatment for COVID-19. As M(pro) inhibitor use increases, drug resistant mutations will likely emerge. We have established a non-pathogenic system, in which yeast growth serves as an approximation for M(pro) activity, enabling rapid identification of mutants with altered enzymatic activity and drug sensitivity. The E166 residue is known to be a potential hot spot for drug resistance and yeast assays identified substitutions which conferred strong nirmatrelvir resistance and others that compromised activity. On the other hand, N142A and the P132H mutation, carried by the Omicron variant, caused little to no change in drug response and activity. Standard enzymatic assays confirmed the yeast results. In turn, we solved the structures of M(pro) E166R, and M(pro) E166N, providing insights into how arginine may drive drug resistance while asparagine leads to reduced activity. The work presented here will help characterize novel resistant variants of M(pro) that may arise as M(pro) antivirals become more widely used. Public Library of Science 2023-08-31 /pmc/articles/PMC10499260/ /pubmed/37651467 http://dx.doi.org/10.1371/journal.ppat.1011592 Text en © 2023 Ou et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ou, Jin
Lewandowski, Eric M.
Hu, Yanmei
Lipinski, Austin A.
Aljasser, Ali
Colon-Ascanio, Mariliz
Morgan, Ryan T.
Jacobs, Lian M. C.
Zhang, Xiujun
Bikowitz, Melissa J.
Langlais, Paul R.
Tan, Haozhou
Wang, Jun
Chen, Yu
Choy, John S.
A yeast-based system to study SARS-CoV-2 M(pro) structure and to identify nirmatrelvir resistant mutations
title A yeast-based system to study SARS-CoV-2 M(pro) structure and to identify nirmatrelvir resistant mutations
title_full A yeast-based system to study SARS-CoV-2 M(pro) structure and to identify nirmatrelvir resistant mutations
title_fullStr A yeast-based system to study SARS-CoV-2 M(pro) structure and to identify nirmatrelvir resistant mutations
title_full_unstemmed A yeast-based system to study SARS-CoV-2 M(pro) structure and to identify nirmatrelvir resistant mutations
title_short A yeast-based system to study SARS-CoV-2 M(pro) structure and to identify nirmatrelvir resistant mutations
title_sort yeast-based system to study sars-cov-2 m(pro) structure and to identify nirmatrelvir resistant mutations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499260/
https://www.ncbi.nlm.nih.gov/pubmed/37651467
http://dx.doi.org/10.1371/journal.ppat.1011592
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