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Active HORIZON European Commission

From fragments to high affinity binders interfacing integrated structural biology, medicinal chemistry and artificial intelligence

€8.27M EUR

Funder European Commission
Recipient Organization Instruct-Eric
Country United Kingdom
Start Date Feb 01, 2023
End Date Jan 31, 2026
Duration 1,095 days
Number of Grantees 26
Roles Participant; Coordinator; Associated Partner; Third Party
Data Source European Commission
Grant ID 101094131
Grant Description

Fragment-Screen will develop innovative instrumentation, workflows and experimental and computational methodologies for fragment-based drug discovery (FBDD) enabling access to early phase structure-based drug discovery for all biological targets and for scientists both in industry and academia.

The established workflows will use structural biology insights and associated data to feed artificial intelligence (AI) methodology to guide medicinal chemistry in drug development.

Fragment-Screen brings together scientists from four ESFRI Landmark research infrastructures (RIs): ESRF (the European synchrotron) and the distributed RIs EU-OPENSCREEN ERIC (medicinal chemistry), ELIXIR (data resources for life science) under the coordination of Instruct-ERIC (integrated structural biology) and seven industry partners in scientific instrumentation and computational and AI sectors including SMEs to remove crucial bottlenecks in early phase drug discovery.

The new instrumentation and workflows will be available at European RIs, while the new instruments will be commercialised to increase the technological competitiveness of European industry in drug design and the attractiveness of structural biology RIs for the pharmaceutical and biotech sectors.

Fragment-Screen will implement open science approaches in early drug discovery to maximise the impact of screening campaigns.

Generated data will be made accessible so that iterative cycles applying AI will improve response times for drug discovery.

We will create a framework for the objective and independent evaluation of AI in drug design to identify critical developments in this thriving research field.

Methodologies for rigorous cross-validation will be established through demonstrator and pilot studies and results will be disseminated to the large scientific communities affiliated to the European RIs and beyond.

All Grantees

Fciencias.Id - Associacao Para A Investigacao E Desenvolvimento de Ciencias; Masarykova Univerzita; Arinax; Instruct-Eric; European Molecular Biology Laboratory; Ibm Research Gmbh; European Synchrotron Radiation Facility; University of Leeds; Agencia Estatal Consejo Superior de Investigaciones Cientificas; Consorzio Interuniversitario Risonanze Magnetiche Di Metallo Proteine; Astex Therapeutics Limited; Bruker Biospin Gmbh; United Kingdom Research and Innovation; Bruker Biospin Gmbh & Co Kg; Stichting Het Nederlands Kanker Instituut-Antoni Van Leeuwenhoek Ziekenhuis; Diamond Light Source Limited; Johann Wolfgang Goethe-Universitaet Frankfurt Am Main; Danmarks Tekniske Universitet; Faculdade de Ciencias Da Universidade de Lisboa; Alpx; Latvijas Organiskas Sintezes Instituts; European Infrastructure of Open Screening Platforms for Chemical Biology European Research Infrastucture Consortium (Eu-Openscreen Eric); Fei Electron Optics Bv; Universiteit Utrecht; Faculdade de Farmácia Da Universidade de Lisboa; Signals Gmbh & Co. Kg

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