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Predicting Epitope Candidates for SARS-CoV-2

Epitopes are short amino acid sequences that define the antigen signature to which an antibody or T cell receptor binds. In light of the current pandemic, epitope analysis and prediction are paramount to improving serological testing and developing vaccines. In this paper, known epitope sequences fr...

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Autores principales: Agarwal, Akshay, Beck, Kristen L., Capponi, Sara, Kunitomi, Mark, Nayar, Gowri, Seabolt, Edward, Mahadeshwar, Gandhar, Bianco, Simone, Mukherjee, Vandana, Kaufman, James H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416013/
https://www.ncbi.nlm.nih.gov/pubmed/36016459
http://dx.doi.org/10.3390/v14081837
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author Agarwal, Akshay
Beck, Kristen L.
Capponi, Sara
Kunitomi, Mark
Nayar, Gowri
Seabolt, Edward
Mahadeshwar, Gandhar
Bianco, Simone
Mukherjee, Vandana
Kaufman, James H.
author_facet Agarwal, Akshay
Beck, Kristen L.
Capponi, Sara
Kunitomi, Mark
Nayar, Gowri
Seabolt, Edward
Mahadeshwar, Gandhar
Bianco, Simone
Mukherjee, Vandana
Kaufman, James H.
author_sort Agarwal, Akshay
collection PubMed
description Epitopes are short amino acid sequences that define the antigen signature to which an antibody or T cell receptor binds. In light of the current pandemic, epitope analysis and prediction are paramount to improving serological testing and developing vaccines. In this paper, known epitope sequences from SARS-CoV, SARS-CoV-2, and other Coronaviridae were leveraged to identify additional antigen regions in 62K SARS-CoV-2 genomes. Additionally, we present epitope distribution across SARS-CoV-2 genomes, locate the most commonly found epitopes, and discuss where epitopes are located on proteins and how epitopes can be grouped into classes. The mutation density of different protein regions is presented using a big data approach. It was observed that there are 112 B cell and 279 T cell conserved epitopes between SARS-CoV-2 and SARS-CoV, with more diverse sequences found in Nucleoprotein and Spike glycoprotein.
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spelling pubmed-94160132022-08-27 Predicting Epitope Candidates for SARS-CoV-2 Agarwal, Akshay Beck, Kristen L. Capponi, Sara Kunitomi, Mark Nayar, Gowri Seabolt, Edward Mahadeshwar, Gandhar Bianco, Simone Mukherjee, Vandana Kaufman, James H. Viruses Article Epitopes are short amino acid sequences that define the antigen signature to which an antibody or T cell receptor binds. In light of the current pandemic, epitope analysis and prediction are paramount to improving serological testing and developing vaccines. In this paper, known epitope sequences from SARS-CoV, SARS-CoV-2, and other Coronaviridae were leveraged to identify additional antigen regions in 62K SARS-CoV-2 genomes. Additionally, we present epitope distribution across SARS-CoV-2 genomes, locate the most commonly found epitopes, and discuss where epitopes are located on proteins and how epitopes can be grouped into classes. The mutation density of different protein regions is presented using a big data approach. It was observed that there are 112 B cell and 279 T cell conserved epitopes between SARS-CoV-2 and SARS-CoV, with more diverse sequences found in Nucleoprotein and Spike glycoprotein. MDPI 2022-08-21 /pmc/articles/PMC9416013/ /pubmed/36016459 http://dx.doi.org/10.3390/v14081837 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Agarwal, Akshay
Beck, Kristen L.
Capponi, Sara
Kunitomi, Mark
Nayar, Gowri
Seabolt, Edward
Mahadeshwar, Gandhar
Bianco, Simone
Mukherjee, Vandana
Kaufman, James H.
Predicting Epitope Candidates for SARS-CoV-2
title Predicting Epitope Candidates for SARS-CoV-2
title_full Predicting Epitope Candidates for SARS-CoV-2
title_fullStr Predicting Epitope Candidates for SARS-CoV-2
title_full_unstemmed Predicting Epitope Candidates for SARS-CoV-2
title_short Predicting Epitope Candidates for SARS-CoV-2
title_sort predicting epitope candidates for sars-cov-2
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416013/
https://www.ncbi.nlm.nih.gov/pubmed/36016459
http://dx.doi.org/10.3390/v14081837
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