MHCSeqNet2-improved peptide-class I MHC binding prediction for alleles with low data.

ABSTRACT:

Motivation

The binding of a peptide antigen to a Class I major histocompatibility complex (MHC) protein is part of a key process that lets the immune system recognize an infected cell or a cancer cell. This mechanism enabled the development of peptide-based vaccines that can activate the patient's immune response to treat cancers. Hence, the ability of accurately predict peptide-MHC binding is an essential component for prioritizing the best peptides for each patient. However, peptide-MHC binding experimental data for many MHC alleles are still lacking, which limited the accuracy of existing prediction models.

Results

In this study, we presented an improved version of MHCSeqNet that utilized sub-word-level peptide features, a 3D structure embedding for MHC alleles, and an ex

SUBMITTER: Wongklaew P 

PROVIDER: S-EPMC10783953 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature