Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction.

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 identificati

SUBMITTER: Rappazzo CG 

PROVIDER: S-EPMC7473865 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature