Back

Improving peptide vaccine manufacturability without sacrificing immunogenicity: substitution of methionine and cysteine with oxidation-resistant isosteres

Ishizuka, A. S.; Garliss, C. M.; Goddu, R. N.; Merolle, M.; Schrager, A.; Ramirez-Valdez, A.; Ren, Q.; Baharom, F.; Essandoh, M.; Palacorolla, N. G.; Finnigan, J. P.; Douek, D. C.; Bhardwaj, N.; seder, R.; Lynn, G. M.; Wilson, D. R.

2026-01-23 immunology
10.64898/2026.01.20.699901 bioRxiv
Show abstract

AO_SCPLOWBSTRACTC_SCPLOWVaccines comprising peptide antigens for inducing T cell immunity are being developed for a broad range of therapeutic applications including prevention and treatment of cancer, autoimmunity, and infectious diseases. However, many peptide antigens contain cysteine and/or methionine, which are prone to form oxidation products that can present challenges to manufacturing and reduce biological activity. To address this challenge, we introduced oxidation resistant (OXR) antigens wherein the cysteine and methionine residues of naturally occurring, wild type (WT) peptide antigens are substituted with isosteric residues that are structurally related but omit the oxidation-prone sulfur atom. Our results showed that vaccination with OXR antigens substituting cysteine and methionine with isosteres alpha-aminobutyric acid and norleucine, respectively, induced immune responses to the WT antigen that were equivalent or higher than those induced by vaccination with WT antigens. T cell responses were not affected by the position of the amino acid substitutions indicating that the isosteres do not negatively impact major histocompatibility complex (MHC) binding or T cell recognition. The T cells induced were high quality and associated with anti-tumor efficacy in vivo. Interestingly, substitution of cysteine with serine, which replaces the sulfur for an oxygen, did not yield cross-reactive T cell responses, highlighting the high degree of molecular discernment of peptide-MHC processing and presentation. In sum, OXR antigens provide a generalizable strategy for eliminating sulfur oxidation products and improving the manufacturability and shelf-life of peptide-based vaccines without affecting desired biologic activity.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Frontiers in Immunology
586 papers in training set
Top 0.6%
10.2%
2
Cellular & Molecular Immunology
14 papers in training set
Top 0.2%
6.9%
3
Vaccines
196 papers in training set
Top 0.3%
6.4%
4
Journal of Controlled Release
39 papers in training set
Top 0.2%
6.4%
5
ACS Nano
99 papers in training set
Top 0.8%
4.3%
6
Human Vaccines & Immunotherapeutics
25 papers in training set
Top 0.1%
4.0%
7
Vaccine
189 papers in training set
Top 0.7%
4.0%
8
Antibody Therapeutics
16 papers in training set
Top 0.1%
2.9%
9
Advanced Functional Materials
41 papers in training set
Top 1.0%
2.6%
10
npj Vaccines
62 papers in training set
Top 0.2%
2.1%
11
Molecular Therapy
71 papers in training set
Top 1%
2.1%
50% of probability mass above
12
ACS Chemical Biology
150 papers in training set
Top 0.9%
1.8%
13
PLOS ONE
4510 papers in training set
Top 53%
1.7%
14
Scientific Reports
3102 papers in training set
Top 59%
1.7%
15
Nature Communications
4913 papers in training set
Top 52%
1.7%
16
ACS Synthetic Biology
256 papers in training set
Top 2%
1.5%
17
eLife
5422 papers in training set
Top 47%
1.3%
18
Frontiers in Plant Science
240 papers in training set
Top 4%
1.2%
19
Biomaterials
78 papers in training set
Top 0.8%
1.2%
20
International Journal of Biological Macromolecules
65 papers in training set
Top 2%
1.1%
21
Advanced Science
249 papers in training set
Top 15%
1.0%
22
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 2%
0.9%
23
Nanoscale Advances
13 papers in training set
Top 0.4%
0.9%
24
Cell Discovery
54 papers in training set
Top 4%
0.9%
25
Pharmaceuticals
33 papers in training set
Top 1%
0.8%
26
Computational and Structural Biotechnology Journal
216 papers in training set
Top 8%
0.8%
27
Allergy
23 papers in training set
Top 0.7%
0.8%
28
Journal of Biomedical Materials Research Part A
18 papers in training set
Top 0.4%
0.8%
29
Bioengineering & Translational Medicine
21 papers in training set
Top 0.9%
0.8%
30
Small
70 papers in training set
Top 1%
0.8%