Ontology highlight
ABSTRACT:
SUBMITTER: Frentzen A
PROVIDER: S-EPMC9878344 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
Frentzen Angela A Greenbaum Jason A JA Kim Haeuk H Peters Bjoern B Koşaloğlu-Yalçın Zeynep Z
Frontiers in genetics 20230112
Several novel MHC class I epitope prediction tools additionally incorporate the abundance levels of the peptides' source antigens and have shown improved performance for predicting immunogenicity. Such tools require the user to input the MHC alleles and peptide sequences of interest, as well as the abundance levels of the peptides' source proteins. However, such expression data is often not directly available to users, and retrieving the expression level of a peptide's source antigen from public ...[more]