Maciej Jasiński

This paper improves the isolation of tumor-specific MHC ligands through hydrophobicity and post-translational modification considerations and introduces a machine learning model for predicting MHC ligand presentation.

This paper develops deep learning models to predict and design cofactor specificity in Rossmann-fold proteins, achieving nearly perfect accuracy in benchmark tests.