bioRxivBiochemistryPreprint
Computationally designed stem-epitope mimetics elicit broadly reactive antibodies
Sarah Wehrle, Andreas ScheckiD, Laura ReuschiD, Flavio Lemos MatassoliiD, Sandrine GeorgeoniD, Karla M. CastroiD, Johannes CrameriD, Wayne D. HarshbargeriD, Stéphane RossetiD, Sarah F. AndrewsiD, Karin SchöniD, Badiaa BouzyaiD, Ronan Nicolas RouxeliD, Normand Blais, E. MalitoiD, Adrian B. McDermottiD, Thomas KreyiD, Corey P. MallettiD, Ventzislav B. VassileviD, Davide AngelettiiD, Bruno E. CorreiaiD
Abstract
Broad protection against diverse influenza viruses can be conferred by broadly neutralizing antibodies (bnAbs) targeting a conserved site on the hemagglutinin (HA) stem domain. However, the low immunogenicity of this antigenic region hinders the robust induction of such antibodies. Here, we showcase a structure-based immunogen design strategy focusing on the surface mimicry of antigenic sites. By leveraging the structural definition of a stem epitope, we apply computational protein design to develop epitope mimetics to focus the immune response against this site of viral vulnerability. The structurally complex antigenic site is displayed on heterologous protein scaffolds, retaining excellent binding towards known HA stem-specific bnAbs. Our epitope-mimetic induces stem-specific antibodies against highly divergent group 1 and 2 subtypes. The results provide a general framework for the design of novel immunogens eliciting focused immune responses which may be a valuable tool in the development of effective vaccine candidates against other variable pathogens.
- assay: proteomics
- research focus: drug response / drug discovery
- approach: deep learning
- approach: statistical model
- Citations
- 0
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