Developing broad spectrum antiviral drugs for pandemic preparedness
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-...
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31/12/2027
Líder desconocido
8M€
Presupuesto del proyecto: 8M€
Líder del proyecto
Líder desconocido
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Sin fecha límite de participación.
Financiación
concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto
el día 2023-12-11
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Información proyecto PANVIPREP
Duración del proyecto: 48 meses
Fecha Inicio: 2023-12-11
Fecha Fin: 2027-12-31
Líder del proyecto
Líder desconocido
Presupuesto del proyecto
8M€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
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 day one 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’s 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.