# Prediction of immunogenicity of Rh antigens using in silico analysis of binding to human leukocyte antigen peptide, Basic/Translational Research

**Authors:** Hee-Jeong Youk, Yong-Joon Cho, Yong-Hyun Han, Seong Who Kim, Dae-Hyun Ko

PMC · DOI: 10.1371/journal.pone.0334851 · 2025-10-27

## TL;DR

This study uses computer analysis to predict how likely certain blood group antigens are to cause immune reactions based on their interaction with HLA proteins.

## Contribution

The study introduces a novel in silico approach to predict the immunogenicity of Rh antigens through HLA peptide binding analysis.

## Key findings

- RhD and RhCE antigens showed distinct hotspots for HLA class II peptides.
- Hotspot distribution varied across HLA loci and ethnic groups.
- The study identified specific amino acid regions and substitutions linked to immunogenicity.

## Abstract

The association between human leukocyte antigen (HLA) types and blood group alloimmunization remains unclear. Previous studies have predominantly focused on predicting immunization events in cancer immunotherapy, but not blood group antigens. In this study, we investigated whether HLA peptide binding could predict the immunogenicity of blood group antigens. We performed in silico binding analysis of Rh antigens and representative HLA class II alleles using NetMHCpan-4.1 and NetMHCIIpan-4.1 algorithms. The distribution of strong binding regions (hotspots) differed across HLA loci and ethnic groups. In particular, the RhD and RhCE antigens showed several distinct hotspots for the HLA-DRB, -DQA-DQB, and -DPA-DPB HLA class II peptides. A hotspot of RHD*01W.1 in HLA-DRB had a substitution in p.Val270Gly. The number of hotspots and core amino acids was different for each HLA locus, and the amino acid regions (exofacial, transmembrane, and intracellular region) differed among the hotspots. Our findings underscore the significance of immunogenicity between the Rh antigens and HLA-DR, suggesting the potential clinical utility of predicting antibody development in blood transfusions. This in silico approach offers novel insights into understanding and managing alloimmunization events, particularly in patients with multiple alloantibodies when blood transfusion is required.

## Linked entities

- **Proteins:** RHD (Rh blood group D antigen), RHCE (Rh blood group CcEe antigens), HLA-DRB1 (major histocompatibility complex, class II, DR beta 1)

## Full-text entities

- **Genes:** HLA-DRB1 (major histocompatibility complex, class II, DR beta 1) [NCBI Gene 3123] {aka DRB1, HLA-DR1B, HLA-DRB, SS1}, RHCE (Rh blood group CcEe antigens) [NCBI Gene 6006] {aka CD240CE, RH, RH30A, RHC, RHCe(152N), RHE}
- **Diseases:** cancer (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** p.Val270Gly

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12558515/full.md

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Source: https://tomesphere.com/paper/PMC12558515