Jingxuan Ge

BBBP-Atlas predicts blood-brain barrier permeability for small molecules and peptides using a cross-modal dataset and structure-aware model, achieving high accuracy and outperforming existing methods.

EpiMII improves MHC-II epitope and neoantigen design by integrating structural features with graph neural networks, achieving higher accuracy and in vivo efficacy in tumor models.

MultiTAP improves tumor antigen immunogenicity prediction by integrating sequence and structure features with an attention mechanism, outperforming existing models across diverse HLA phenotypes.