Prediction of MAMP-Receptor Interactions through a Protein Language Model

Overview

This repository contains the code for the paper:
mamp-ml: A deep learning approach to epitope immunogenicity in plants.
Stevens et al. 2025. BioRxiv. DOI: 10.1101/2025.07.11.664399

To follow the meta-analysis as well building the model for immunogenicity prediciton in plants, see the following markdown file mamp_ml_building_and_validation.

Interested in using mamp-ml? Please see our other GitHub repo with production code and Google Colab.

If you are in industry or want to use mamp-ml for commercial purposes, please contact us:
Danielle M. Stevens, dmstev@berkeley.edu
Ksenia Krasileva, kseniak@berkeley.edu