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In Silico Optimization of GAD65114–122Autoantigen for Potential Type 1 Diabetes Antigen-Specific Immunotherapy

  • Lei Fu
  • , Kevin Chun Chan
  • , Qinglu Zhong
  • , Damiano Buratto
  • , Song Wu*
  • , Ruhong Zhou*
  • *Corresponding author for this work
  • Shenzhen University
  • Zhejiang University
  • Columbia University

Research output: Contribution to journalArticlepeer-review

Abstract

Type 1 diabetes (T1D) is mediated by autoreactive T cells targeting pancreatic β-cell antigens, with CD8+ T cells specific for islet autoantigens playing a central role. CD8+ T cell reactivity to glutamic acid decarboxylase 65 (GAD65) in HLA-A*02:01 individuals has been reported to focus on the immunogenic region around residues 114–122 (VMNILLQYV). Here, we design GAD65114–122 mimotopes with enhanced human leukocyte antigen (HLA) binding as potential T1D vaccine candidates. Using all-atom molecular dynamics (MD) simulation and free energy perturbation (FEP), we evaluate single, double, and swap mutations on HLA-A*02:01–GAD65114–122 binding. Our results identify positions 3 and 7 as key sites for affinity enhancement. Position 3 favors negatively charged residues aspartic acid (N3D) and glutamic acid (N3E) over native asparagine (ASN), suggesting favorable electrostatic interactions, while position 7 prefers hydrophobic residues methionine (Q7M) and isoleucine (Q7I) over native glutamine (GLN), enhancing binding stability. Double mutations at both positions 3 and 7 display an overall additive or even synergistic effect, with N3D_Q7M, N3D_Q7I, N3E_Q7M, and N3E_Q7I double mutants identified as strong candidates for further experimental validation of T cell activation. This work highlights key insights for optimizing antigen-based vaccine design and optimization for T1D.

Original languageEnglish
Pages (from-to)12799-12810
Number of pages12
JournalJournal of Physical Chemistry B
Volume129
Issue number50
DOIs
Publication statusPublished - 18 Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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