The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A candidate multi-epitope vaccine against SARS-CoV-2
Open accessAbstract
In the past two decades, 7 coronaviruses have infected the human population, with two major outbreaks caused by SARS-CoV and MERS-CoV in the year 2002 and 2012, respectively. Currently, the entire world is facing a pandemic of another coronavirus, SARS-CoV-2, with a high fatality rate. The spike glycoprotein of SARS-CoV-2 mediates entry of virus into the host cell and is one of the most important antigenic determinants, making it a potential candidate for a vaccine. In this study, we have computationally designed a multi-epitope vaccine using spike glycoprotein of SARS-CoV-2. The overall quality of the candidate vaccine was validated in silico and Molecular Dynamics Simulation confirmed the stability of the designed vaccine. Docking studies revealed stable interactions of the vaccine with Toll-Like Receptors and MHC Receptors. The in silico cloning and codon optimization supported the proficient expression of the designed vaccine in E. coli expression system. The efficiency of the candidate vaccine to trigger an effective immune response was assessed by an in silico immune simulation. The computational analyses suggest that the designed multi-epitope vaccine is structurally stable which can induce specific immune responses and thus, can be a potential vaccine candidate against SARS-CoV-2.
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Cited by
Aboudounya, M. M., & Heads, R. J. (2021) · Mediators of Inflammation · doi:10.1155/2021/8874339 · Cited by 346
Metadata
- Authors
- Kar, T., Narsaria, U., Basak, S., Deb, D., Castiglione, F., Mueller, D. M., & Srivastava, A. P.
- Venue
- Scientific Reports
- Published
- 2020-07-02
- Volume
- 10
- Issue
- 1
- Pages
- 10895-10895
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W3039821298
- Cited by
- 349
- References
- 11
- FWCI
- 15.63
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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