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About:
Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus (SARS-CoV-2)
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schema:ScholarlyArticle
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wasabi.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus (SARS-CoV-2)
Creator
Feng, Ye
Liu, Liang
Qiu, Min
Mo, Fan
Li, Yun
Han, Ning
Zhang, Shanshan
Chen, Shuqing
Luo, Kai
Qianpeng,
Sun, Yingqiang
Wang, Kui
Zhuang, Xinlei
Zou, Shengmei
Source
BioRxiv; MedRxiv
abstract
A new coronavirus SARS-CoV-2 has caused over 9.2 million infection cases and 475758 deaths worldwide. Due to the rapid dissemination and the unavailability of specific therapy, there is a desperate need for vaccines to combat the epidemic of SARS-CoV-2. An in silico approach based on the available virus genome was applied to identify 19 high immunogenic B-cell epitopes and 499 human-leukocyte-antigen (HLA) restricted T-cell epitopes. Thirty multi-epitope peptide vaccines were designed by iNeo Suite, and manufactured by solid-phase synthesis. Docking analysis showed stable hydrogen bonds of epitopes with their corresponding HLA alleles. When four vaccine peptide candidates from the spike protein of SARS-CoV-2 were selected to immunize mice, a significantly larger amount of IgG in serum as well as an increase of CD19+ cells in ILNs was observed in peptide-immunized mice compared to the control mice. The ratio of IFN-γ-secreting lymphocytes in CD4+ or CD8+ cells in the peptides-immunized mice were higher than that in the control mice. There were also a larger number of IFN-γ-secreting T cells in spleen in the peptides-immunized mice. This study screened antigenic B-cell and T-cell epitopes in all encoded proteins of SARS-CoV-2, and further designed multi-epitope based peptide vaccine against viral structural proteins. The obtained vaccine peptides successfully elicited specific humoral and cellular immune responses in mice. Primate experiments and clinical trial are urgently required to validate the efficacy and safety of these vaccine peptides. Importance So far, a new coronavirus SARS-CoV-2 has caused over 9.2 million infection cases and 475758 deaths worldwide. Due to the rapid dissemination and the unavailability of specific therapy, there is a desperate need for vaccines to combat the epidemic of SARS-CoV-2. Different from the development approaches for traditional vaccines, the development of our peptide vaccine is faster and simpler. In this study, we performed an in silico approach to identify the antigenic B-cell epitopes and human-leukocyte-antigen (HLA) restricted T-cell epitopes, and designed a panel of multi-epitope peptide vaccines. The resulting SARS-CoV-2 multi-epitope peptide vaccine could elicit specific humoral and cellular immune responses in mice efficiently, displaying its great potential in our fight of COVID-19.
has issue date
2020-06-30
(
xsd:dateTime
)
bibo:doi
10.1101/2020.03.03.962332
has license
biorxiv
sha1sum (hex)
202383e9c79c6dac9c6de7622681a2b2fdd699b6
schema:url
https://doi.org/10.1101/2020.03.03.962332
resource representing a document's title
Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus (SARS-CoV-2)
schema:publication
bioRxiv
resource representing a document's body
covid:202383e9c79c6dac9c6de7622681a2b2fdd699b6#body_text
is
schema:about
of
named entity 'study'
named entity 'vaccines'
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named entity 'T cells'
named entity 'validate'
named entity 'worldwide'
named entity 'PEPTIDE'
named entity 'HIGHER'
named entity 'SELECTED'
named entity '499'
named entity 'B-CELL'
named entity 'LARGER'
named entity '9.2'
named entity 'mice'
named entity 'coronavirus'
named entity 'epitopes'
named entity 'vaccine'
named entity 'peptide'
named entity 'B-cell'
named entity 'SARS-CoV-2'
named entity 'When'
named entity 'mice'
named entity 'serum'
named entity 'human-leukocyte-antigen'
named entity 'immunogenic'
named entity 'epitopes'
named entity 'peptides'
named entity 'lymphocytes'
named entity 'spike protein'
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named entity 'neutralizing antibody'
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named entity 'pymol'
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named entity 'HLA'
named entity 'HLA'
named entity 'mutation'
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named entity 'alleles'
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named entity 'randomly selected'
named entity 'epitope'
named entity 'epitopes'
named entity 'HLA'
named entity 'alleles'
named entity 'peptides'
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