| Literature DB >> 33123738 |
Takanori Hasegawa1, Shuto Hayashi2, Eigo Shimizu2, Shinichi Mizuno3, Atsushi Niida1, Rui Yamaguchi2, Satoru Miyano2, Hidewaki Nakagawa4, Seiya Imoto1.
Abstract
SUMMARY: It is known that some mutant peptides, such as those resulting from missense mutations and frameshift insertions, can bind to the major histocompatibility complex and be presented to antitumor T cells on the surface of a tumor cell. These peptides are termed neoantigen, and it is important to understand this process for cancer immunotherapy. Here, we introduce an R package termed Neoantimon that can predict a list of potential neoantigens from a variety of mutations, which include not only somatic point mutations but insertions, deletions and structural variants. Beyond the existing applications, Neoantimon is capable of attaching and reflecting several additional information, e.g. wild-type binding capability, allele specific RNA expression levels, single nucleotide polymorphism information and combinations of mutations to filter out infeasible peptides as neoantigen.Entities:
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Year: 2020 PMID: 33123738 PMCID: PMC7750962 DOI: 10.1093/bioinformatics/btaa616
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937