Characterization of T-Cell Epitopes in Food Allergens by Bioinformatic Tools.

Shudong He, Fanlin Zhou

Methods in molecular biology (Clifton, N.J.) 2024

filter terms:

The identification of T-cell epitopes is a critical step in the understanding of the immunologic mechanisms such as food allergy. Epitope screening in silico by bioinformatic tools can be used to identify T-cell epitopes, which can save time and resources. In this chapter, a multiparametric approach to predict and assess major histocompatibility complex (MHC) class II binding T-cell epitopes using bioinformatics was introduced for food allergens. Furthermore, the ability of predicted T-cell epitopes to induce interleukin (IL)-4, as well as the allergenicity potential based on the sequence analysis and population coverage of epitopes were also determined. The molecular docking approach was further used to explore the binding ability between epitopes and human leukocyte antigen (HLA) class II molecules. The amino acids that might be responsible for binding to HLA class II molecules and their binding interactions were analyzed. © 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Citation

Shudong He, Fanlin Zhou. Characterization of T-Cell Epitopes in Food Allergens by Bioinformatic Tools. Methods in molecular biology (Clifton, N.J.). 2024;2717:77-99