SOURCE-LINKED INTELLIGENCE
Structure and Function-based Design of Vaccine Antigens and Antiviral Immunotherapies
tion cryoEM structures of nanobodies bound to glycoproteins in transitional states, we will understand their structural dynamics. Equipped with these unparalleled insights, we will harness pioneering deep learning methods to computationally design glycoproteins with enhanced antigenic form and exposed neutralizing surfaces. I will showcase this method for viruses with high case fatality rates, including Hendra, Nipah, Lassa, Tick-borne encephalitis, and Borna disease viruses. VaxVision is set to offer a comprehensive framework for the antigen design of these and genetically or structurally related viruses. My work aims to capitalize on the unused potential for vaccine antigen improvement and will provide an innovative workflow for extracting mechanistic insights and leveraging them for vaccine antigen design, with the potential to drive vaccine innovations beyond just viral pathogens. Structure-based vaccine design, viral glycoproteins, nanobodies, protein design, virus entry, re-emerging viruses
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1499525
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.