Open Accesspepsickle rapidly and accurately predicts proteasomal cleavage sites for improved neoantigen identification
Author(s) -
Benjamin R. Weeder,
Mary A. Wood,
Ellysia Li,
Abhinav Nellore,
Reid F. Thompson
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab628
Subject(s) - cleavage (geology) , epitope , computer science , open source , computational biology , identification (biology) , antigen , biology , immunology , software , programming language , paleontology , botany , fracture (geology)
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.
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