SemVac: A Semantic Vaccinology Paradigm Powered by LLMs for Antigen Discovery
Yunxiang Zhao, You Shu, Linfeng Shu, Peng Lv, Xiangyang Chi, Dongsheng Li, J Q Zhang, Zhen Huang, Hongguang Ren, Junjie Xu, Xiaodong Zai, Wei Chen
SemVac uses LLMs to predict vaccine antigens by analyzing literature-derived protein descriptions, outperforming existing methods and identifying new candidates with experimental validation.
bioRxiv · Sep 15, 2026 · PreprintImmunology