Hu Ye-Fan, Zhang Bao-Zhong, Chu Hin, Huang Jian-Dong
School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong (HKU), Hong Kong SAR, China.
BayVax Biotech Limited, Hong Kong Science Park, Hong Kong & Shenzhen BayVax Biotech Limited, Guangming, Shenzhen 518107, China.
Innovation (Camb). 2024 Nov 28;6(1):100739. doi: 10.1016/j.xinn.2024.100739. eCollection 2025 Jan 6.
In conclusion, the distinct evolution patterns of panzootic influenza A(H5Nx) compared to A(H1N1) and A(H3N2) complicate vaccine development. Effective strategies must consider these unique patterns and the impact of pre-existing immunity. Leveraging AI-based methods for optimized antigen design is essential to mitigate the potential impact of emerging antigenically variable strains and will provide valuable insights for developing more effective vaccines to prepare for future pandemics.
总之,与甲型流感病毒A(H1N1)和A(H3N2)相比,甲型流感病毒A(H5Nx)的独特进化模式使疫苗开发变得复杂。有效的策略必须考虑这些独特模式以及既往免疫的影响。利用基于人工智能的方法进行优化抗原设计对于减轻新出现的抗原变异株的潜在影响至关重要,并将为开发更有效的疫苗以应对未来大流行提供有价值的见解。