Filippo Grazioli

This paper evaluates how well TCR binding predictors generalize to unseen peptides by analyzing the distance between training and testing peptide distributions using sequence and 3D structure metrics.

This paper introduces MVIB, a deep learning model that combines gut microbiome data with metabolomic data to predict disease, achieving high performance across multiple disease cohorts.