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Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2
The outbreak of the 2019 novel coronavirus (SARS-CoV-2) has infected millions of people with a large number of deaths across the globe. The existing therapies are limited in dealing with SARS-CoV-2 due to the sudden appearance of the virus. Therefore, vaccines and antiviral medicines are in desperat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328648/ https://www.ncbi.nlm.nih.gov/pubmed/32621841 http://dx.doi.org/10.1016/j.virusres.2020.198082 |
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author | Lin, Li Ting, Sun Yufei, He Wendong, Li Yubo, Fan Jing, Zhang |
author_facet | Lin, Li Ting, Sun Yufei, He Wendong, Li Yubo, Fan Jing, Zhang |
author_sort | Lin, Li |
collection | PubMed |
description | The outbreak of the 2019 novel coronavirus (SARS-CoV-2) has infected millions of people with a large number of deaths across the globe. The existing therapies are limited in dealing with SARS-CoV-2 due to the sudden appearance of the virus. Therefore, vaccines and antiviral medicines are in desperate need. We took immune-informatics approaches to identify B- and T-cell epitopes for surface glycoprotein (S), membrane glycoprotein (M) and nucleocapsid protein (N) of SARS-CoV-2, followed by estimating their antigenicity and interactions with the human leukocyte antigen (HLA) alleles. Allergenicity, toxicity, physiochemical properties analysis and stability were examined to confirm the specificity and selectivity of the epitope candidates. We identified a total of five B cell epitopes in RBD of S protein, seven MHC class-I, and 18 MHC class-II binding T-cell epitopes from S, M and N protein which showed non-allergenic, non-toxic and highly antigenic features and non-mutated in 55,179 SARS-CoV-2 virus strains until June 25, 2020. The epitopes identified here can be a potentially good candidate repertoire for vaccine development. |
format | Online Article Text |
id | pubmed-7328648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73286482020-07-01 Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2 Lin, Li Ting, Sun Yufei, He Wendong, Li Yubo, Fan Jing, Zhang Virus Res Article The outbreak of the 2019 novel coronavirus (SARS-CoV-2) has infected millions of people with a large number of deaths across the globe. The existing therapies are limited in dealing with SARS-CoV-2 due to the sudden appearance of the virus. Therefore, vaccines and antiviral medicines are in desperate need. We took immune-informatics approaches to identify B- and T-cell epitopes for surface glycoprotein (S), membrane glycoprotein (M) and nucleocapsid protein (N) of SARS-CoV-2, followed by estimating their antigenicity and interactions with the human leukocyte antigen (HLA) alleles. Allergenicity, toxicity, physiochemical properties analysis and stability were examined to confirm the specificity and selectivity of the epitope candidates. We identified a total of five B cell epitopes in RBD of S protein, seven MHC class-I, and 18 MHC class-II binding T-cell epitopes from S, M and N protein which showed non-allergenic, non-toxic and highly antigenic features and non-mutated in 55,179 SARS-CoV-2 virus strains until June 25, 2020. The epitopes identified here can be a potentially good candidate repertoire for vaccine development. The Authors. Published by Elsevier B.V. 2020-10-15 2020-07-01 /pmc/articles/PMC7328648/ /pubmed/32621841 http://dx.doi.org/10.1016/j.virusres.2020.198082 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Lin, Li Ting, Sun Yufei, He Wendong, Li Yubo, Fan Jing, Zhang Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2 |
title | Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2 |
title_full | Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2 |
title_fullStr | Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2 |
title_full_unstemmed | Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2 |
title_short | Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2 |
title_sort | epitope-based peptide vaccines predicted against novel coronavirus disease caused by sars-cov-2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328648/ https://www.ncbi.nlm.nih.gov/pubmed/32621841 http://dx.doi.org/10.1016/j.virusres.2020.198082 |
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