mamp-ml: A deep learning approach to epitope immunogenicity in plants
Danielle M. Stevens, David K. Yang, Tatiana J. Liang, Tianrun Li, Brandon Vega, Gitta Coaker, Ksenia V. Krasileva
The paper introduces mamp-ml, a deep learning model predicting plant receptor-ligand interactions using sequence data and ESM-2, achieving 73% accuracy without experimental structures.
bioRxiv · Jul 11, 2025 · PreprintImmunology