Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains
Article
Oluwagbemi, O., Oladipo, E., Dairo, E., Ayeni, A., Irewolede, B., Jimah, E., Oyewole, M., Olawale, B., Adegoke, H. and Ogunleye, A. 2022. Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains. Informatics in Medicine Unlocked . 28. https://doi.org/10.1016/j.imu.2022.100845
Type | Article |
---|---|
Title | Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains |
Authors | Oluwagbemi, O., Oladipo, E., Dairo, E., Ayeni, A., Irewolede, B., Jimah, E., Oyewole, M., Olawale, B., Adegoke, H. and Ogunleye, A. |
Abstract | The discovery of a new SARS-CoV-2 virus strain in South Africa presents a major public health threat, therefore contributing to increased infections and transmission rates during the second wave of the global pandemic. This study lays the groundwork for the development of a novel subunit vaccine candidate from the circulating strains of South African SARS-CoV-2 and provides an understanding of the molecular epidemiological trend of the circulating strains. A total of 475 whole-genome nucleotide sequences from South Africa submitted between December 1, 2020 and February 15, 2021 available at the GISAID database were retrieved based on its size, coverage level and hosts. To obtain the distribution of the clades and lineages of South African SARS-CoV-2 circulating strains, the metadata of the sequence retrieved were subjected to an epidemiological analysis. There was a prediction of the cytotoxic T lymphocytes (CTL), Helper T cells (HTL) and B-cell epitopes. Furthermore, there was allergenicity, antigenicity and toxicity predictions on the epitopes. The analysis of the |
Keywords | Bioinformatics; COVID-19; Computational construction; Control; SARS-CoV-2 virus; South Africa; Vaccine candidate |
Sustainable Development Goals | 3 Good health and well-being |
Middlesex University Theme | Health & Wellbeing |
Publisher | Elsevier |
Journal | Informatics in Medicine Unlocked |
ISSN | |
Electronic | 2352-9148 |
Publication dates | |
Online | 15 Jan 2022 |
18 Jan 2022 | |
Publication process dates | |
Submitted | 31 Oct 2021 |
Accepted | 01 Jan 2022 |
Deposited | 11 Apr 2024 |
Output status | Published |
Publisher's version | License File Access Level Open |
Copyright Statement | © 2022 The Authors. Published by Elsevier Ltd. |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.imu.2022.100845 |
Web of Science identifier | MEDLINE:35071728 |
Related Output | |
Is supplemented by | https://www.sciencedirect.com/science/article/pii/S2352914822000028?via%3Dihub#appsec1 |
Language | English |
https://repository.mdx.ac.uk/item/v2206
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