A Multi-Modal Deep Learning Framework with Both Sequence and Structure for Tumor Antigens Prediction
A pioneering multi-modal framework with TCR-peptide-HLA sequence and structure features incorporating an attention mechanism designed to accurately identify tumor antigens with immunogenic properties, which presents a brand-new and promising approach for cancer immunotherapies that target tumor antigens.
Ruofan Jin, Jingxuan Ge, Guanqiao Zhang et al.
· bioRxiv · 2 citations