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DC Field | Value | Language |
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dc.contributor.author | Febrianti, Riska A. | - |
dc.contributor.author | Narulita, Erlia | - |
dc.date.accessioned | 2024-11-05T03:43:59Z | - |
dc.date.available | 2024-11-05T03:43:59Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1658-3612 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/7261 | - |
dc.description.abstract | Objectives: This study aimed to produce a recombinant protein vaccine candidate based on an epitope of spike protein from Indonesian SARS-CoV-2 to provide immunogenicity and protection against future infection. Methods: A reverse vaccinology approach was used to identify potential vaccine candidates by screening the pathogen’s genome through computational analyses. Results: Epitope vaccine candidates with the amino acid sequence of FKNHTSPDV were selected. This peptide is hydrophilic, does not induce autoimmune and allergic reactions, is antigenic, is classified as a stable protein, and is predicted to be present in the cell membrane. The selected epitope sequences were inserted into the plasmid vector pcDNA3.1(þ) N-GST (thrombin). Inclusion of additional features of the gene encoding glutathione-S transferase, which can increase antigen expression and solubility, and the genes encoding NSP 1e4 proteins, which are essential in replication, added value to the produced recombinant protein. Conclusion: Recombinant protein vaccine candidates with the FKNHTSPDV epitope have parameters sufficient for production on a laboratory scale for further testing. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Journal of Taibah University Medical Sciences | en_US |
dc.relation.ispartofseries | Student Article;467-478 | - |
dc.subject | Indonesia | en_US |
dc.subject | Recombinant protein | en_US |
dc.subject | Reverse vaccinology | en_US |
dc.subject | SARS-CoV-2 | en_US |
dc.subject | Spike protein | en_US |
dc.title | In-silico analysis of recombinant protein vaccines based on the spike protein of Indonesian SARS-CoV-2 through a reverse vaccinology approach | en_US |
dc.type | Article | en_US |
Appears in Collections: | Vol 17 No 3 (2022) |
Files in This Item:
File | Description | Size | Format | |
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467-478.pdf | 467-478 | 2.22 MB | Adobe PDF | View/Open |
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