Investigating the human and nonobese diabetic mouse MHC class II immunopeptidome using protein language modeling.

ABSTRACT:

Motivation

Identifying peptides associated with the major histocompability complex class II (MHCII) is a central task in the evaluation of the immunoregulatory function of therapeutics and drug prototypes. MHCII-peptide presentation prediction has multiple biopharmaceutical applications, including the safety assessment of biologics and engineered derivatives in silico, or the fast progression of antigen-specific immunomodulatory drug discovery programs in immune disease and cancer. This has resulted in the collection of large-scale datasets on adaptive immune receptor antigenic responses and MHC-associated peptide proteomics. In parallel, recent deep learning algorithmic advances in protein language modeling have shown potential in leveraging large collections of sequence data and

SUBMITTER: Hartout P 

PROVIDER: S-EPMC10421966 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature