Antigen Payload Optimization
Antigen Payload Optimization is a methodological framework in vector-based vaccine design that systematically enhances the immunogenic efficacy and expression efficiency of antigenic components by refining their molecular composition, sequence configuration, and delivery parameters within viral or non-viral vectors.
15
Publications
755
Citations
106
Authors
29
Institutions
Publications per year
2017–2026
7
Parents
15
Leveraging mRNA Sequences and Nanoparticles to Deliver SARS‐CoV‐2 Antigens In Vivo
Chunxi Zeng, Xucheng Hou, Jinyue Yan et al. · Advanced Materials · 2020 · 152 citations · Full text
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29
Northwest A&F University
Yangling, China
2 h-index
13 publications
219 citations
Scripps Research Institute
San Diego, United States
2 h-index
10 publications
722 citations
Central University of Rajasthan
Ajmer, India
2 h-index
10 publications
471 citations
Changchun Institute of Applied Chemistry
Changchun, China
1 h-index
4 publications
72 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
4 publications
72 citations
The Ohio State University
Columbus, United States
1 h-index
8 publications
1.2K citations
Victorian Infectious Diseases Reference Laboratory
Melbourne, Australia
1 h-index
7 publications
434 citations
Lionex (Germany)
Braunschweig, Germany
1 h-index
1 publications
27 citations
1–8 of 29
4 publications · 200 citations
4
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2 publications · 34 citations
2
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1 publications · 18 citations
1
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1 publications · 41 citations
1
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EJPB · 1 publications · 28 citations
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