Quantitative Approaches for Decoding the Specificity of the Human T Cell Repertoire

Overview

Journal Front Immunol

Specialty Allergy & Immunology

Date 2023 Oct 2

PMID 37781387

Authors

Zahra S Ghoreyshi

Jason T George

Affiliations

Soon will be listed here.

Abstract

T cell receptor (TCR)-peptide-major histocompatibility complex (pMHC) interactions play a vital role in initiating immune responses against pathogens, and the specificity of TCRpMHC interactions is crucial for developing optimized therapeutic strategies. The advent of high-throughput immunological and structural evaluation of TCR and pMHC has provided an abundance of data for computational approaches that aim to predict favorable TCR-pMHC interactions. Current models are constructed using information on protein sequence, structures, or a combination of both, and utilize a variety of statistical learning-based approaches for identifying the rules governing specificity. This review examines the current theoretical, computational, and deep learning approaches for identifying TCR-pMHC recognition pairs, placing emphasis on each method's mathematical approach, predictive performance, and limitations.

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