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...

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Bibliographic Details
Published in:Bioinformatics (Oxford, England) England), 2021-11, Vol.37 (21), p.3723-3733
Main Authors: Weeder, Benjamin R, Wood, Mary A, Li, Ellysia, Nellore, Abhinav, Thompson, Reid F
Format: Article
Language:English
Subjects:
Antigens
Epitopes
Humans
Proteasome Endopeptidase Complex - metabolism
Proteolysis
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Summary: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 (area under the curve) 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 and implementation pepsickle is open source and available at https://github.com/pdxgx/pepsickle. Supplementary information Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btab628