Ramón Alemany

This study validates a machine learning platform, NAP-CNB, for identifying tumor neoantigens using RNAseq data, showing improved antitumor responses with multiantigen vaccination.

The paper assesses the immunogenic potential of GNAQ and GNA11 mutations in uveal melanoma using genomic and transcriptomic data, finding Q209L mutations are more immunogenic than Q209P.

NAP-CNB is a web server tool that predicts MHC-I-restricted T cell epitopes in mice using recurrent neural networks, achieving an AUC of 0.95 for H-2 peptide ligands.