A unified cross-attention model for predicting antigen binding specificity to both HLA and TCR molecules

arXiv:2405.06653v1 Announce Type: cross
Abstract: The immune checkpoint inhibitors have demonstrated promising clinical efficacy across various tumor types, yet the percentage of patients who benefit from them remains low. The binding affinity between antigens and HLA-I/TCR molecules plays a critical role in antigen presentation and T-cell activation. Some computational methods have been developed to predict antigen-HLA or antigen-TCR binding specificity, but they focus solely on one task at a time. In this paper, we propose UnifyImmun, a unified cross-attention transformer …

abstract arxiv attention benefit checkpoint clinical cs.lg low molecules patients presentation q-bio.bm role specificity them type types