In silico discovery of antigenic proteins and epitopes of SARS-CoV-2 for the development of a vaccine or a diagnostic approach for COVID-19

Abstract In the genome of SARS-CoV-2, the 5′-terminus encodes a polyprotein, which is further cleaved into 15 non-structural proteins whereas the 3′ terminus encodes four structural proteins and eight accessory proteins. Among these 27 proteins, the present study aimed to discover likely antigenic p...

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Autores principales: Hüseyin Can, Ahmet Efe Köseoğlu, Sedef Erkunt Alak, Mervenur Güvendi, Mert Döşkaya, Muhammet Karakavuk, Adnan Yüksel Gürüz, Cemal Ün
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Publicado: Nature Portfolio 2020
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spelling oai:doaj.org-article:74bd234ce5ea44c5a530fb689d41b3302021-12-02T14:01:28ZIn silico discovery of antigenic proteins and epitopes of SARS-CoV-2 for the development of a vaccine or a diagnostic approach for COVID-1910.1038/s41598-020-79645-92045-2322https://doaj.org/article/74bd234ce5ea44c5a530fb689d41b3302020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79645-9https://doaj.org/toc/2045-2322Abstract In the genome of SARS-CoV-2, the 5′-terminus encodes a polyprotein, which is further cleaved into 15 non-structural proteins whereas the 3′ terminus encodes four structural proteins and eight accessory proteins. Among these 27 proteins, the present study aimed to discover likely antigenic proteins and epitopes to be used for the development of a vaccine or serodiagnostic assay using an in silico approach. For this purpose, after the full genome analysis of SARS-CoV-2 Wuhan isolate and variant proteins that are detected frequently, surface proteins including spike, envelope, and membrane proteins as well as proteins with signal peptide were determined as probable vaccine candidates whereas the remaining were considered as possible antigens to be used during the development of serodiagnostic assays. According to results obtained, among 27 proteins, 26 of them were predicted as probable antigen. In 26 proteins, spike protein was selected as the best vaccine candidate because of having a signal peptide, negative GRAVY value, one transmembrane helix, moderate aliphatic index, a big molecular weight, a long-estimated half-life, beta wrap motifs as well as having stable, soluble and non-allergic features. In addition, orf7a, orf8, and nsp-10 proteins with signal peptide were considered as potential vaccine candidates. Nucleocapsid protein and a highly antigenic GGDGKMKD epitope were identified as ideal antigens to be used in the development of serodiagnostic assays. Moreover, considering MHC-I alleles, highly antigenic KLNDLCFTNV and ITLCFTLKRK epitopes can be used to develop an epitope-based peptide vaccine.Hüseyin CanAhmet Efe KöseoğluSedef Erkunt AlakMervenur GüvendiMert DöşkayaMuhammet KarakavukAdnan Yüksel GürüzCemal ÜnNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-16 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Hüseyin Can
Ahmet Efe Köseoğlu
Sedef Erkunt Alak
Mervenur Güvendi
Mert Döşkaya
Muhammet Karakavuk
Adnan Yüksel Gürüz
Cemal Ün
In silico discovery of antigenic proteins and epitopes of SARS-CoV-2 for the development of a vaccine or a diagnostic approach for COVID-19
description Abstract In the genome of SARS-CoV-2, the 5′-terminus encodes a polyprotein, which is further cleaved into 15 non-structural proteins whereas the 3′ terminus encodes four structural proteins and eight accessory proteins. Among these 27 proteins, the present study aimed to discover likely antigenic proteins and epitopes to be used for the development of a vaccine or serodiagnostic assay using an in silico approach. For this purpose, after the full genome analysis of SARS-CoV-2 Wuhan isolate and variant proteins that are detected frequently, surface proteins including spike, envelope, and membrane proteins as well as proteins with signal peptide were determined as probable vaccine candidates whereas the remaining were considered as possible antigens to be used during the development of serodiagnostic assays. According to results obtained, among 27 proteins, 26 of them were predicted as probable antigen. In 26 proteins, spike protein was selected as the best vaccine candidate because of having a signal peptide, negative GRAVY value, one transmembrane helix, moderate aliphatic index, a big molecular weight, a long-estimated half-life, beta wrap motifs as well as having stable, soluble and non-allergic features. In addition, orf7a, orf8, and nsp-10 proteins with signal peptide were considered as potential vaccine candidates. Nucleocapsid protein and a highly antigenic GGDGKMKD epitope were identified as ideal antigens to be used in the development of serodiagnostic assays. Moreover, considering MHC-I alleles, highly antigenic KLNDLCFTNV and ITLCFTLKRK epitopes can be used to develop an epitope-based peptide vaccine.
format article
author Hüseyin Can
Ahmet Efe Köseoğlu
Sedef Erkunt Alak
Mervenur Güvendi
Mert Döşkaya
Muhammet Karakavuk
Adnan Yüksel Gürüz
Cemal Ün
author_facet Hüseyin Can
Ahmet Efe Köseoğlu
Sedef Erkunt Alak
Mervenur Güvendi
Mert Döşkaya
Muhammet Karakavuk
Adnan Yüksel Gürüz
Cemal Ün
author_sort Hüseyin Can
title In silico discovery of antigenic proteins and epitopes of SARS-CoV-2 for the development of a vaccine or a diagnostic approach for COVID-19
title_short In silico discovery of antigenic proteins and epitopes of SARS-CoV-2 for the development of a vaccine or a diagnostic approach for COVID-19
title_full In silico discovery of antigenic proteins and epitopes of SARS-CoV-2 for the development of a vaccine or a diagnostic approach for COVID-19
title_fullStr In silico discovery of antigenic proteins and epitopes of SARS-CoV-2 for the development of a vaccine or a diagnostic approach for COVID-19
title_full_unstemmed In silico discovery of antigenic proteins and epitopes of SARS-CoV-2 for the development of a vaccine or a diagnostic approach for COVID-19
title_sort in silico discovery of antigenic proteins and epitopes of sars-cov-2 for the development of a vaccine or a diagnostic approach for covid-19
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/74bd234ce5ea44c5a530fb689d41b330
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