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KMID : 0381120230450121489
Genes and Genomics
2023 Volume.45 No. 12 p.1489 ~ p.1508
Proteome based analysis of circulating SARS-CoV-2 variants: approach to a universal vaccine candidate
Elena S. George

Taiwo Ooreoluwa Ojo
Seun Elijah Olufemi
Boluwatife Ayobami Irewolede
Daniel Adewole Adediran
Asegunloluwa Grace Abiala
Oluwaseun Samuel Hezekiah
Akindele Felix Idowu
Yinmi Gabriel Oladeji
Mary Omotoyinbo Ikuomola
Abstract
The discovery of the first infectious variant in Wuhan, China, in December 2019, has posed concerns over global health due to the spread of COVID-19 and subsequent variants. While the majority of patients experience flu-like symptoms such as cold and fever, a small percentage, particularly those with compromised immune systems, progress from mild illness to fatality. COVID-19 is caused by a RNA virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Our approach involved utilizing immunoinformatic to identify vaccine candidates with multiple epitopes and ligand-binding regions in reported SARS-CoV-2 variants. Through analysis of the spike glycoprotein, we identified dominant epitopes for T-cells and B-cells, resulting in a vaccine construct containing two helper T-cell epitopes, six cytotoxic T-cell epitopes, and four linear B-cell epitopes. Prior to conjugation with adjuvants and linkers, all epitopes were evaluated for antigenicity, toxicity, and allergenicity. Additionally, we assessed the vaccine Toll-Like Receptors complex (2, 3, and 4). The vaccine construct demonstrated antigenicity, non-toxicity, and non-allergenicity, thereby enabling the host to generate antibodies with favorable physicochemical characteristics. Furthermore, the 3D structure of the B-cell construct exhibited a ProSA-web z-score plot with a value of -1.71, indicating the reliability of the designed structure. The Ramachandran plot analysis revealed that 99.6% of the amino acid residues in the vaccine subunit were located in the high favored observation region, further establishing its strong candidacy as a vaccination option.
KEYWORD
Covid-19, SARS-Cov-2, Variant, Vaccine, Immunoinformatic, Multi-epitope
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