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Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches

COVID-19 has recently become the most serious threat to public health, and its prevalence has been increasing at an alarming rate. The incubation period for the virus is ~1–14 days and all age groups may be susceptible to a fatality rate of about 5.9%. COVID-19 is caused by a novel single-stranded,...

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Autores principales: Dong, Rong, Chu, Zhugang, Yu, Fuxun, Zha, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399176/
https://www.ncbi.nlm.nih.gov/pubmed/32849643
http://dx.doi.org/10.3389/fimmu.2020.01784
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author Dong, Rong
Chu, Zhugang
Yu, Fuxun
Zha, Yan
author_facet Dong, Rong
Chu, Zhugang
Yu, Fuxun
Zha, Yan
author_sort Dong, Rong
collection PubMed
description COVID-19 has recently become the most serious threat to public health, and its prevalence has been increasing at an alarming rate. The incubation period for the virus is ~1–14 days and all age groups may be susceptible to a fatality rate of about 5.9%. COVID-19 is caused by a novel single-stranded, positive (+) sense RNA beta coronavirus. The development of a vaccine for SARS-CoV-2 is an urgent need worldwide. Immunoinformatics approaches are both cost-effective and convenient, as in silico predictions can reduce the number of experiments needed. In this study, with the aid of immunoinformatics tools, we tried to design a multi-epitope vaccine that can be used for the prevention and treatment of COVID-19. The epitopes were computed by using B cells, cytotoxic T lymphocytes (CTL), and helper T lymphocytes (HTL) base on the proteins of SARS-CoV-2. A vaccine was devised by fusing together the B cell, HTL, and CTL epitopes with linkers. To enhance the immunogenicity, the β-defensin (45 mer) amino acid sequence, and pan-HLA DR binding epitopes (13aa) were adjoined to the N-terminal of the vaccine with the help of the EAAAK linker. To enable the intracellular delivery of the modeled vaccine, a TAT sequence (11aa) was appended to C-terminal. Linkers play vital roles in producing an extended conformation (flexibility), protein folding, and separation of functional domains, and therefore, make the protein structure more stable. The secondary and three-dimensional (3D) structure of the final vaccine was then predicted. Furthermore, the complex between the final vaccine and immune receptors (toll-like receptor-3 (TLR-3), major histocompatibility complex (MHC-I), and MHC-II) were evaluated by molecular docking. Lastly, to confirm the expression of the designed vaccine, the mRNA of the vaccine was enhanced with the aid of the Java Codon Adaptation Tool, and the secondary structure was generated from Mfold. Then we performed in silico cloning. The final vaccine requires experimental validation to determine its safety and efficacy in controlling SARS-CoV-2 infections.
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spelling pubmed-73991762020-08-25 Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches Dong, Rong Chu, Zhugang Yu, Fuxun Zha, Yan Front Immunol Immunology COVID-19 has recently become the most serious threat to public health, and its prevalence has been increasing at an alarming rate. The incubation period for the virus is ~1–14 days and all age groups may be susceptible to a fatality rate of about 5.9%. COVID-19 is caused by a novel single-stranded, positive (+) sense RNA beta coronavirus. The development of a vaccine for SARS-CoV-2 is an urgent need worldwide. Immunoinformatics approaches are both cost-effective and convenient, as in silico predictions can reduce the number of experiments needed. In this study, with the aid of immunoinformatics tools, we tried to design a multi-epitope vaccine that can be used for the prevention and treatment of COVID-19. The epitopes were computed by using B cells, cytotoxic T lymphocytes (CTL), and helper T lymphocytes (HTL) base on the proteins of SARS-CoV-2. A vaccine was devised by fusing together the B cell, HTL, and CTL epitopes with linkers. To enhance the immunogenicity, the β-defensin (45 mer) amino acid sequence, and pan-HLA DR binding epitopes (13aa) were adjoined to the N-terminal of the vaccine with the help of the EAAAK linker. To enable the intracellular delivery of the modeled vaccine, a TAT sequence (11aa) was appended to C-terminal. Linkers play vital roles in producing an extended conformation (flexibility), protein folding, and separation of functional domains, and therefore, make the protein structure more stable. The secondary and three-dimensional (3D) structure of the final vaccine was then predicted. Furthermore, the complex between the final vaccine and immune receptors (toll-like receptor-3 (TLR-3), major histocompatibility complex (MHC-I), and MHC-II) were evaluated by molecular docking. Lastly, to confirm the expression of the designed vaccine, the mRNA of the vaccine was enhanced with the aid of the Java Codon Adaptation Tool, and the secondary structure was generated from Mfold. Then we performed in silico cloning. The final vaccine requires experimental validation to determine its safety and efficacy in controlling SARS-CoV-2 infections. Frontiers Media S.A. 2020-07-28 /pmc/articles/PMC7399176/ /pubmed/32849643 http://dx.doi.org/10.3389/fimmu.2020.01784 Text en Copyright © 2020 Dong, Chu, Yu and Zha. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Dong, Rong
Chu, Zhugang
Yu, Fuxun
Zha, Yan
Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches
title Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches
title_full Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches
title_fullStr Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches
title_full_unstemmed Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches
title_short Contriving Multi-Epitope Subunit of Vaccine for COVID-19: Immunoinformatics Approaches
title_sort contriving multi-epitope subunit of vaccine for covid-19: immunoinformatics approaches
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399176/
https://www.ncbi.nlm.nih.gov/pubmed/32849643
http://dx.doi.org/10.3389/fimmu.2020.01784
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