Glycan masking in immunogen design: computational and experimental methods

Epitope-focused vaccine design aims to improve upon existing immunization strategies by eliciting immune responses against specific epitopes targeted by known therapeutic antibodies. One of the techniques in epitope-focused immunogen design is glycan masking, in which sugars are used to hide epitopes on the protein of interest that are associated with low therapeutic potency. Here, we provide a detailed overview of the computational and experimental techniques associated with glycan masking for immunogen design at a biochemical and biophysical level. We will cover well-established and emerging <i>in silico</i> methods for predicting and engineering glycosylation sites. Additionally, we will discuss expression and validation of glycosylated immunogens <i>in vitro</i>. We hope this review will be a useful overview for scientists interested in performing glycan masking in their field of research.

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Publication Details

Journal
Frontiers in Immunology
Published
2026-01-07
DOI
https://doi.org/10.3389/fimmu.2025.1726810
Primary Topic
Immunotherapy and Immune Responses
Type
article
Field-Weighted Citation Impact
0.00

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article

Glycan masking in immunogen design: computational and experimental methods

Kyle L. Brown, Cristina E. Martina, Minh H. Tran, Hannah Vogts et al.
Frontiers in Immunology
Immunotherapy and Immune Responses
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Glycan masking in immunogen design: computational and experimental methods

Kyle L. Brown, Cristina E. Martina, Minh H. Tran, Hannah Vogts, Josuel Morel, Shan Jiang, Sean Murray, Jens Meiler, Emika Miyamoto, Gustavo Araiza
article en

Abstract

Epitope-focused vaccine design aims to improve upon existing immunization strategies by eliciting immune responses against specific epitopes targeted by known therapeutic antibodies. One of the techniques in epitope-focused immunogen design is glycan masking, in which sugars are used to hide epitopes on the protein of interest that are associated with low therapeutic potency. Here, we provide a detailed overview of the computational and experimental techniques associated with glycan masking for immunogen design at a biochemical and biophysical level. We will cover well-established and emerging <i>in silico</i> methods for predicting and engineering glycosylation sites. Additionally, we will discuss expression and validation of glycosylated immunogens <i>in vitro</i>. We hope this review will be a useful overview for scientists interested in performing glycan masking in their field of research.

Frontiers in ImmunologyVol. 16
University of Iowa (US), Vanderbilt University (US), Artificial Intelligence in Medicine (Canada) (CA), Belmont University (US), Vanderbilt University Medical Center (US), Leipzig University (DE)
National Institutes of Health, Advanced Research Projects Agency
Good health and well-being
Openalex Percentile: Top 94%
Immunotherapy and Immune Responses
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