PatchEpi: patch-aware equivariant learning improves structure-based epitope prediction
PatchEpi, a patch-aware geometric deep learning framework for antigen-intrinsic epitope modeling, is introduced and it is demonstrated that accurate epitope prediction benefits primarily from reformulating the task around surface-patch learning.