Matches in SemOpenAlex for { <https://semopenalex.org/work/W3083537918> ?p ?o ?g. }
- W3083537918 abstract "CD4+ helper T cells contribute important functions to the immune response during pathogen infection and tumor formation by recognizing antigenic peptides presented by class II major histocompatibility complexes (MHC-II). While many computational algorithms for predicting peptide binding to MHC-II proteins have been reported, their performance varies greatly. Here we present a yeast-display-based platform that allows the identification of over an order of magnitude more unique MHC-II binders than comparable approaches. These peptides contain previously identified motifs, but also reveal new motifs that are validated by in vitro binding assays. Training of prediction algorithms with yeast-display library data improves the prediction of peptide-binding affinity and the identification of pathogen-associated and tumor-associated peptides. In summary, our yeast-display-based platform yields high-quality MHC-II-binding peptide datasets that can be used to improve the accuracy of MHC-II binding prediction algorithms, and potentially enhance our understanding of CD4+ T cell recognition." @default.
- W3083537918 created "2020-09-11" @default.
- W3083537918 creator A5000535117 @default.
- W3083537918 creator A5006736933 @default.
- W3083537918 creator A5048244249 @default.
- W3083537918 date "2020-09-04" @default.
- W3083537918 modified "2023-10-14" @default.
- W3083537918 title "Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction" @default.
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- W3083537918 doi "https://doi.org/10.1038/s41467-020-18204-2" @default.
- W3083537918 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7473865" @default.
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- W3083537918 hasPublicationYear "2020" @default.
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