Modeling antibody recognition across SARS-CoV-2 and SARS-CoV-1 using epitope-informed transfer learning
Existing immunological datasets can support feature-constrained transfer learning for data-efficient prioritization of antibody:antigen interactions across closely related Sarbecoviruses, particularly when conserved epitope regions can be aligned and limited target-specific measurements are available for calibration.