Comprehensive analysis of epistasis in drug resistance potential of Mpro from SARS-CoV-2

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 1R21AI191052-01

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2025
    2027
  • Known Financial Commitments (USD)

    $243,713
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    PROFESSOR DANIEL BOLON
  • Research Location

    United States of America
  • Lead Research Institution

    UNIV OF MASSACHUSETTS MED SCH WORCESTER
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen genomics, mutations and adaptations

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

PROJECT SUMMARY This project aims to systematically investigate a critical, but poorly understood aspect of drug resistance evolution: the interdependence of mutations that disrupt drug binding (usually also decreasing enzyme activity) and compensatory mutations that increase enzyme activity. Combinations of these types of mutations are typically observed in pathogens that evolve clinically relevant resistance. The mechanisms that underlie these mutations have not been extensively investigated. Here, we plan to comprehensively analyze all combinations of mutations in Mpro from SARS-CoV-2 that disrupt binding to nirmatrelvir with those that increase enzyme activity. Nirmatrelvir is the active component in Paxlovid that is currently an effective treatment for COVID19. We developed a yeast screen for Mpro activity that is both safe because it does not create or use virus and biologically relevant because it uses a cut-site that is used by the virus. Mutations we identified with this screen have been observed in SARS-CoV-2 viruses selected for resistance, further indicating the screens biological relevance. In the first aim of this work, we will quantify how all combinations of drug-binding and increased activity mutations impact Mpro activity and drug disruption in our yeast screen. The resulting data will be analyzed to elucidate patterns and their structural underpinnings. As compensatory mutations can be specific, in the second aim, we will perform an unbiased analysis of all possible point mutations in the background of two mutations that strongly disrupt nirmatrelvir binding. Together these aims will provide a new view of how mutational interdependencies impact the evolution of drug resistance in a clinically important pathogen.