SOURCE-LINKED INTELLIGENCE

PoxviRus cOnTrolled EmergenCy using Therapeutics and Innovative VaccinEs

CORDIS · observation · Publication date unknown

antigen-agnostic approach, mAbs from mpox infected or vaccinated individuals to build a panel of neutralizing mAbs (nAbs) able to recognize orthopoxviruses shared and protective epitopes. Generative artificial intelligence will be systemically integrated in our workflow to identify antigens targeted by discovered nAbs at unprecedented speed. Data-augmentation and iterative deep-learning models will be used to in silico design new vaccine immunogens which can be produced as recombinant proteins or mRNA, or loaded on nanoparticles. This approach will provide broadly nAbs and effective vaccines designed to protect from mpox and other orthopoxviruses. If successful, the approach herein proposed will fuel the field of vaccinology allowing unprecedent speed for antigen discovery and vaccine development. This approach could be translated to all pathogens for which no cure or prevention are available including emerging viral pathogens and antimicrobial resistant bacteria. This will strongly increase European competitiveness in fighting infectious disease and control future crisis. Monoclona

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recordType

award

status

SIGNED

region

EU

value

1499375

unit

EUR