High-throughput modeling and scoring of TCR-pMHC complexes to predict cross-reactive peptides.

ABSTRACT:

Motivation

The binding of T-cell receptors (TCRs) to their target peptide MHC (pMHC) ligands initializes the cell-mediated immune response. In autoimmune diseases such as multiple sclerosis, the TCR erroneously recognizes self-peptides as foreign and activates an immune response against healthy cells. Such responses can be triggered by cross-recognition of the autoreactive TCR with foreign peptides. Hence, it would be desirable to identify such foreign-antigen triggers to provide a mechanistic understanding of autoimmune diseases. However, the large sequence space of foreign antigens presents an obstacle in the identification of cross-reactive peptides.

Results

Here, we present an in silico modeling and scoring method which exploits the structural properties of TCR-pMHC comp

SUBMITTER: Borrman T 

PROVIDER: S-EPMC8016493 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature