Emilio Dorigatti

P-TEAM predicts the effect of epitope mutations on T cell functionality using a Random Forest model trained on murine and human TCR-epitope interactions.

This paper reviews proteasomal cleavage prediction methods, benchmarks deep learning architectures, and finds that dataset quality limits performance more than model choice.

This paper presents a formal framework for epitope-based vaccine design that integrates all design phases into a single integer linear program to ensure optimal solutions.

This paper presents a computational method that jointly selects epitopes and designs spacers for string-of-beads vaccines to improve immunogenicity and processing efficiency.