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Identifying the Achilles heel of SARS-CoV-2

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Known Financial Commitments (USD)

    $12,358.5

  • Funder

    IVADO

  • Principal Investigator

    Unspecified François Major

  • Research Location

    Canada

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Pathogen morphology, shedding & natural history

  • 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

Using an algorithm based on machine-learning techniques, this project seeks to develop a protocol for better understanding the structural components involved in the vital functions of SARS-CoV-2 or any other RNA virus. This technique will make it possible to produce a list of therapeutic targets to counter their replication and proliferation, thus offering new perspectives for the development of drugs to be used in current or future clinical studies.