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Cross-variant proof predictive vaccine design based on SARS-CoV-2 spike protein using immunoinformatics approach

BACKGROUND: Coronavirus Disease (COVID-19) is caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 virus is evolving continuously. The omicron variant of SARS-CoV-2 has the highest mutation in its spike protein, thus making the presently available vaccine ineffe...

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Autores principales: Sahu, Lavanya Kumar, Singh, Kiran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831375/
https://www.ncbi.nlm.nih.gov/pubmed/36644779
http://dx.doi.org/10.1186/s43088-023-00341-4
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author Sahu, Lavanya Kumar
Singh, Kiran
author_facet Sahu, Lavanya Kumar
Singh, Kiran
author_sort Sahu, Lavanya Kumar
collection PubMed
description BACKGROUND: Coronavirus Disease (COVID-19) is caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 virus is evolving continuously. The omicron variant of SARS-CoV-2 has the highest mutation in its spike protein, thus making the presently available vaccine ineffective or reducing its efficiency. Furthermore, the majority of the vaccines are constructed using a spike protein sequence from wild-type SARS-CoV-2. This raises the possibility of the virus evolving to the point where the vaccine's effectiveness is completely lost, even after booster doses. The study aims to develop a predictive vaccine as well as the epitopes for the updating of the vaccine sequences of currently available vaccines. In this study, following the immunoinformatics approach, predictive vaccine construction was done with the help of epitopes present on spike proteins of wild-type, delta, and omicron variants that encompass the majority of variants and possible new variants that arise from the combination of circulating variants. RESULTS: The vaccine that was constructed was stable and immunogenic. The vaccine was constructed with the help of 18 B-cell epitopes, 5 MHC class I epitopes, and 6 MHC class II epitopes. The epitope conservancy analysis suggests that the vaccine will work for the previously known variant of concern. The vaccine bound to TLR4, TLR2, B-cell receptor chains A and B, and ACE2 receptors with a z score of − 1.4, − 1.7, − 1.4, − 1.7, and − 1.4, respectively, with a cluster size of 121 highest for the ACE2 receptor and 46 lowest for B-cell receptor chain A. The C-ImmSim simulation results indicate that the vaccine is generating both humoral and cell-mediated responses at a sufficient level throughout the month upon injection of the vaccine as an antigen. CONCLUSION: The study's findings indicate that the vaccine was both stable and immunogenic, providing a sufficient level of immunity. Following experimental validation, the vaccine can be used, and the epitopes can be employed for therapeutic purposes such as antibody synthesis. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43088-023-00341-4.
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spelling pubmed-98313752023-01-11 Cross-variant proof predictive vaccine design based on SARS-CoV-2 spike protein using immunoinformatics approach Sahu, Lavanya Kumar Singh, Kiran Beni Suef Univ J Basic Appl Sci Research BACKGROUND: Coronavirus Disease (COVID-19) is caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 virus is evolving continuously. The omicron variant of SARS-CoV-2 has the highest mutation in its spike protein, thus making the presently available vaccine ineffective or reducing its efficiency. Furthermore, the majority of the vaccines are constructed using a spike protein sequence from wild-type SARS-CoV-2. This raises the possibility of the virus evolving to the point where the vaccine's effectiveness is completely lost, even after booster doses. The study aims to develop a predictive vaccine as well as the epitopes for the updating of the vaccine sequences of currently available vaccines. In this study, following the immunoinformatics approach, predictive vaccine construction was done with the help of epitopes present on spike proteins of wild-type, delta, and omicron variants that encompass the majority of variants and possible new variants that arise from the combination of circulating variants. RESULTS: The vaccine that was constructed was stable and immunogenic. The vaccine was constructed with the help of 18 B-cell epitopes, 5 MHC class I epitopes, and 6 MHC class II epitopes. The epitope conservancy analysis suggests that the vaccine will work for the previously known variant of concern. The vaccine bound to TLR4, TLR2, B-cell receptor chains A and B, and ACE2 receptors with a z score of − 1.4, − 1.7, − 1.4, − 1.7, and − 1.4, respectively, with a cluster size of 121 highest for the ACE2 receptor and 46 lowest for B-cell receptor chain A. The C-ImmSim simulation results indicate that the vaccine is generating both humoral and cell-mediated responses at a sufficient level throughout the month upon injection of the vaccine as an antigen. CONCLUSION: The study's findings indicate that the vaccine was both stable and immunogenic, providing a sufficient level of immunity. Following experimental validation, the vaccine can be used, and the epitopes can be employed for therapeutic purposes such as antibody synthesis. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43088-023-00341-4. Springer Berlin Heidelberg 2023-01-10 2023 /pmc/articles/PMC9831375/ /pubmed/36644779 http://dx.doi.org/10.1186/s43088-023-00341-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Sahu, Lavanya Kumar
Singh, Kiran
Cross-variant proof predictive vaccine design based on SARS-CoV-2 spike protein using immunoinformatics approach
title Cross-variant proof predictive vaccine design based on SARS-CoV-2 spike protein using immunoinformatics approach
title_full Cross-variant proof predictive vaccine design based on SARS-CoV-2 spike protein using immunoinformatics approach
title_fullStr Cross-variant proof predictive vaccine design based on SARS-CoV-2 spike protein using immunoinformatics approach
title_full_unstemmed Cross-variant proof predictive vaccine design based on SARS-CoV-2 spike protein using immunoinformatics approach
title_short Cross-variant proof predictive vaccine design based on SARS-CoV-2 spike protein using immunoinformatics approach
title_sort cross-variant proof predictive vaccine design based on sars-cov-2 spike protein using immunoinformatics approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831375/
https://www.ncbi.nlm.nih.gov/pubmed/36644779
http://dx.doi.org/10.1186/s43088-023-00341-4
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