A structural-based machine learning method to classify binding affinities between TCR and peptide-MHC complexes.

ABSTRACT: The activation of T cells is triggered by the interactions of T cell receptors (TCRs) with their epitopes, which are peptides presented by major histocompatibility complex (MHC) on the surfaces of antigen presenting cells (APC). While each TCR can only recognize a specific subset from a large repertoire of peptide-MHC (pMHC) complexes, it is very often that peptides in this subset share little sequence similarity. This is known as the specificity and cross-reactivity of T cells, respectively. The binding affinities between different types of TCRs and pMHC are the major driving force to shape this specificity and cross-reactivity in T cell recognition. The binding affinities, furthermore, are determined by the sequence and structural properties at the interfaces between TCRs and pMHC. Fortu

SUBMITTER: Dhusia K 

PROVIDER: S-EPMC10811653 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature