Neopepsee: accurate genome-level prediction of neoantigens by harnessing sequence and amino acid immunogenicity information

BackgroundTumor-specific mutations form novel immunogenic peptides called neoantigens. Neoantigens can be used as a biomarker predicting patient response to cancer immunotherapy. Although a predicted binding affinity (IC50) between peptide and major histocompatibility complex class I is currently used for neoantigen prediction, large number of false-positives exist.Materials and methodsWe developed Neopepsee, a machine-learning-based neoantigen...