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Interactive therapeutic target-prediction portal

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $0

  • Funder

    IVADO

  • Principal Investigator

    Tariq and Maude Daouda and Dumont-Lagacé

  • Research Location

    Canada

  • Lead Research Institution

    N/A

  • Research Priority Alignment

    N/A

  • Research Category

    Vaccines research, development and implementation

  • Research Subcategory

    N/A

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The goal of this project is to provide the scientific community with a platform to predict potential targets for a vaccine against COVID-19. This interactive platform uses an algorithm's ability to predict which parts of the virus will be exposed on the surface of infected cells and thus generates a list of potential targets. This algorithm, developed by Tariq Daouda in the laboratories of Sébastien Lemieux and Claude Perreault, has already been used successfully, enabling the current situation to be approached from a different angle. Offered to researchers through a portal, it will make it possible to accelerate the development of vaccines against COVID-19, but also against other emerging viruses.