In:
Bioinformation, Biomedical Informatics, Vol. 18, No. 3 ( 2022-3-31), p. 214-218
Abstract:
Neo-antigens presented on cell surface play a pivotal role in the success of immunotherapies. Peptides derived from mutant proteins are thought to be the primary source of neo-antigens presented on the surface of cancer cells. Mutation data from cancer genome sequencing is often used to predict cancer neo-antigens. However, this strategy is associated with significant false positives as many coding mutations may not be expressed at the protein level. Hence, we describe a computational workflow to integrate genomic and proteomic data to predictpotential neo-antigens.
Type of Medium:
Online Resource
ISSN:
0973-8894
,
0973-2063
DOI:
10.6026/bioinformation
DOI:
10.6026/97320630018214
Language:
Unknown
Publisher:
Biomedical Informatics
Publication Date:
2022
detail.hit.zdb_id:
2203786-X
Permalink