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Naturally occurring mutations of SARS-CoV-2 main protease confer drug resistance to nirmatrelvir
Yanmei Hu; Eric M Lewandowski; Haozhou Tan; Ryan T Morgan; Xiujun Zhang; Lian M Jacobs; Shane G Butler; Maura V Mongora; John S Choy; Yu Chen; Jun Wang.
Affiliation
  • Yanmei Hu; Rutgers, the State University of New Jersey
  • Eric M Lewandowski; University of South Florida
  • Haozhou Tan; Rutgers, the State University of New Jersey
  • Ryan T Morgan; University of South Florida
  • Xiujun Zhang; University of South Florida
  • Lian M Jacobs; University of South Florida
  • Shane G Butler; University of South Florida
  • Maura V Mongora; University of South Florida
  • John S Choy; The Catholic University of America
  • Yu Chen; University of South Florida
  • Jun Wang; Rutgers, the State University of New Jersey
Preprint in En | PREPRINT-BIORXIV | ID: ppbiorxiv-497978
ABSTRACT
The SARS-CoV-2 main protease (Mpro) is the drug target of Pfizers oral drug Paxlovid. The emergence of SARS-CoV-2 variants with mutations in Mpro raised the alarm of potential drug resistance. In this study, we identified 100 naturally occurring Mpro mutations located at the nirmatrelvir binding site, among which 20 mutants, including S144M/F/A/G/Y, M165T, E166G, H172Q/F, and Q192T/S/L/A/I/P/H/V/W/C/F, showed comparable enzymatic activity to the wild-type (kcat/Km <10-fold change) and resistance to nirmatrelvir (Ki >10-fold increase). X-ray crystal structures were determined for seven representative mutants with and/or without GC-376/nirmatrelvir. Viral growth assay showed that Mpro mutants with reduced enzymatic activity led to attenuated viral replication. Overall, our study identified several drug resistant hot spots that warrant close monitoring for possible clinical evidence of Paxlovid resistance. One Sentence SummaryPaxlovid resistant SARS-CoV-2 viruses with mutations in the main protease have been identified from clinical isolates.
License
cc_by_nc
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Type of study: Prognostic_studies Language: En Year: 2022 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Type of study: Prognostic_studies Language: En Year: 2022 Document type: Preprint