Structure-based methods using geometric deep learning improve generalizability in predicting MHC-bound peptides, outperforming sequence-based models, with potential applications in T-cell receptor specificity and immunotherapy.
- Dario F. Marzella
- Giulia Crocioni
- Li C. Xue