Structural Homology of HHV-6B Epitopes as Candidates for Molecular Mimicry Triggers of the Onset Type One Diabetes Mellitus
Clicks: 1
ID: 319682
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #3 of 4 articles by views in Oxford Open Immunology
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract Objectives To study whether HHV-6B can act as a molecular mimic to trigger onset of Type One Diabetes Mellitus (T1DM) by assessing structural and binding similarities between HHV-6B derived epitopes and T1DM autoantigen derived epitopes. Methods Epitope peptide structures and their interactions with T1DM autoantigens were modeled using Boltz-2, a state-of-the-art artificial intelligence protein structure prediction method. Results Several HHV-6B epitopes studied here demonstrated high structural alignment with T1DM antigen epitopes, but even when structural homology was lacking, in multiple cases the HHV-6B and T1DM epitopes fit into the same binding region of the corresponding HLA molecules, suggesting a plausible structural basis for T cell cross-reactivity. These findings support the hypothesis that HHV-6B may act as a molecular mimic contributing to autoimmune responses in individuals genetically susceptible to T1DM. Conclusion This study demonstrates that structural modeling is a useful tool for identifying potential mimicry candidates that sequence-based methods may not find, underscoring the importance of integrating structure-based modeling, including docking, into molecular mimicry prediction pipelines for identifying potential epitopes for in vitro studies.
| Reference Key |
openalex_W7167422300
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | McKay Jones, Julio C. Facelli |
| Journal | Oxford Open Immunology |
| Year | 2026 |
| DOI |
10.1093/oxfimm/iqag011
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.