Developing broad-spectrum antiviral drugs for pandemic preparedness

Grant number: 101137229

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Key facts

  • Disease

    Disease X
  • Start & end year

    2024
    2027
  • Known Financial Commitments (USD)

    $8,799,224.5
  • Funder

    European Commission
  • Principal Investigator

    Schmidt Ed
  • Research Location

    Netherlands
  • Lead Research Institution

    ACADEMISCH ZIEKENHUIS LEIDEN
  • Research Priority Alignment

    N/A
  • Research Category

    Therapeutics research, development and implementation

  • Research Subcategory

    Pre-clinical studies

  • Special Interest Tags

    Innovation

  • 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

Antiviral drugs will be key in the management of future virus outbreaks. For each virus family with epidemic/pandemic potential, stockpiles of potent drugs are needed that can be deployed when a new pathogen emerges. Such broader-acting drugs (targeting conserved viral functions) are needed as of 'Äúday one'Äù of an outbreak, for treatment and prophylaxis (e.g., in HCW and frail patients). In combination with quarantine measures, such drugs will delay (global) spread, allowing time for vaccine-development. Since the 2003 SARS outbreak, PANVIPREP'Äôs core partners have successfully collaborated in leading European antiviral drug research projects. This provides a solid scientific basis in combination with translational drug discovery expertise. The team includes virologists, biochemists, structural biologists, medicinal chemists and pharmacokinetics experts. Previously developed know-how and toolboxes will be a major asset to achieve immediate impact. PANVIPREP aims to greatly expand the antiviral portfolio and identify novel druggable targets of high-risk RNA viruses. Hits will be identified through (i) phenotypic antiviral screening of compound libraries (ii) structure-based drug design, (iii) in silico screening, supported by the latest machine-learning methods. We will deliver 25 to 50 high-quality, broad(er)-spectrum (pan-genus/pan-family) hit molecules/hit series. Two of these will be developed to the early lead stage, including proof of concept in animal infection models. Remaining hits will serve as chemical tool-compounds to explore mechanisms of action thereby identifying novel druggable targets in RNA virus replication. This in turn will accelerate target-based drug design efforts. The workflow will integrate best practices in antiviral drug discovery with a range of methodological innovations, including AI-based methods, thus renovating and accelerating the antiviral hit discovery pipeline future use and contributing to pandemic preparedness.

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Revealing protein structures: crystallization of protein-ligand complexes - co-crystallization and crystal soaking.