pepsickle rapidly and accurately predicts proteasomal cleavage sites for improved neoantigen identification
Abstract Motivation Proteasomal cleavage is a key component in protein turnover, as well as antigen processing and presentation. Although tools for proteasomal cleavage prediction are available, they vary widely in their performance, options, and availability. Results Herein we present pepsickle, an open-source tool for proteasomal cleavage prediction with better in vivo prediction performance (AUC) and computational speed than current models available in the field and with the ability to predict sites based on both constitutive and immunoproteasome profiles. Post-hoc filtering of predicted patient neoepitopes using pepsickle significantly enriches for immune-responsive epitopes and may improve current epitope prediction and vaccine development pipelines. Availability pepsickle is open source and available at https://github.com/pdxgx/pepsickle Supplementary information Supplementary data are available at Bioinformatics online.