Predicting MHC-I ligands across alleles and species: how far can we go?

ABSTRACT:

Background

CD8⁺ T-cell activation is initiated by the recognition of epitopes presented on class I major histocompatibility complex (MHC-I) molecules. Identifying such epitopes is useful for molecular understanding of cellular immune responses and can guide the development of personalized vaccines for various diseases including cancer. For a few hundred common human and mouse MHC-I alleles, large datasets of ligands are available and machine learning MHC-I ligand predictors trained on such data reach high prediction accuracy. However, for the vast majority of other MHC-I alleles, no ligand is known.

Methods

We capitalize on an expanded architecture of our MHC-I ligand predictor (MixMHCpred3.0) to systematically assess the extent to which predictions of MHC-I ligan

SUBMITTER: Tadros DM 

PROVIDER: S-EPMC11927126 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature