De novo design of a safe and potent respiratory syncytial virus immuno-focusing antigen

Read full text
Authors: Woo Yeon Hwang, Jinung Song, Jiwon Choe, Keun Bon Ku, Hyung-Sun Kim, Gun Young Yoon, Do Yeon Kim, Mi‐Ra Choi, Eun‐Ji Kim, Jae Seung Lee, SungJun Park, Sung Kyun Lee
+10 more Seung Jun Kim, Bonsu Ku, Dae‐Gyun Ahn, Kyun‐Do Kim, Chonsaeng Kim, Han Na Suh, Juyong Lee, Ho-Chul Shin, Junsu Ko, Young‐Chan Kwon
Cited by: 0
References: 48

Abstract

SUMMARY Respiratory syncytial virus (RSV) remains the leading cause of severe respiratory infections in infants, the elderly, and the immunocompromised. Although stabilized full-length pre-fusion (pre-F) protein vaccines are promising, enhanced respiratory disease (ERD) remains a critical safety concern. Here, we used artificial intelligence to design a de novo immuno-focused antigen that structurally preserves the RSV F head region containing critical neutralising epitopes— site Ø, II and V–while replacing the non-neutralising stem with a computationally designed scaffold to minimise immunopathological risk. The lead candidate, aRF6, elicited robust protective immunity against RSV in mice and similar immunogenicity in non-human primates without detectable toxicity. Importantly, in stringent ERD-promoting models, aRF6 induced minimal pulmonary pathology and markedly attenuated Th2-biased cytokine responses, outperforming formalin-inactivated RSV and full-length-stabilized pre-F. The results of cryoelectron microscopy confirmed that the aRF6 structure precisely matched the computational predictions. These results demonstrated that computationally designed de novo immuno-focused antigens can yield safe and effective RSV vaccines, thereby providing a rational framework for next-generation vaccine development.

Fields of Study & Subjects

Respiratory viral infections research vaccines and immunoinformatics approaches SARS-CoV-2 and COVID-19 Research

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
29 January 2026
Document type
Preprint