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Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins

All approved coronavirus disease 2019 (COVID-19) vaccines in current use are safe, effective, and reduce the risk of severe illness. Although data on the immunological presentation of patients with COVID-19 is limited, increasing experimental evidence supports the significant contribution of B and T...

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Autores principales: Devi, Yengkhom Damayanti, Goswami, Himanshu Ballav, Konwar, Sushmita, Doley, Chandrima, Dolley, Anutee, Devi, Arpita, Chongtham, Chen, Dowerah, Dikshita, Biswa, Vashkar, Jamir, Latonglila, Kumar, Aditya, Satapathy, Siddhartha Shankar, Ray, Suvendra Kumar, Deka, Ramesh Chandra, Doley, Robin, Mandal, Manabendra, Das, Sandeep, Singh, Chongtham Shyamsunder, Borah, Partha Pratim, Nath, Pabitra, Namsa, Nima D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592446/
https://www.ncbi.nlm.nih.gov/pubmed/34780495
http://dx.doi.org/10.1371/journal.pone.0258645
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author Devi, Yengkhom Damayanti
Goswami, Himanshu Ballav
Konwar, Sushmita
Doley, Chandrima
Dolley, Anutee
Devi, Arpita
Chongtham, Chen
Dowerah, Dikshita
Biswa, Vashkar
Jamir, Latonglila
Kumar, Aditya
Satapathy, Siddhartha Shankar
Ray, Suvendra Kumar
Deka, Ramesh Chandra
Doley, Robin
Mandal, Manabendra
Das, Sandeep
Singh, Chongtham Shyamsunder
Borah, Partha Pratim
Nath, Pabitra
Namsa, Nima D.
author_facet Devi, Yengkhom Damayanti
Goswami, Himanshu Ballav
Konwar, Sushmita
Doley, Chandrima
Dolley, Anutee
Devi, Arpita
Chongtham, Chen
Dowerah, Dikshita
Biswa, Vashkar
Jamir, Latonglila
Kumar, Aditya
Satapathy, Siddhartha Shankar
Ray, Suvendra Kumar
Deka, Ramesh Chandra
Doley, Robin
Mandal, Manabendra
Das, Sandeep
Singh, Chongtham Shyamsunder
Borah, Partha Pratim
Nath, Pabitra
Namsa, Nima D.
author_sort Devi, Yengkhom Damayanti
collection PubMed
description All approved coronavirus disease 2019 (COVID-19) vaccines in current use are safe, effective, and reduce the risk of severe illness. Although data on the immunological presentation of patients with COVID-19 is limited, increasing experimental evidence supports the significant contribution of B and T cells towards the resolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Despite the availability of several COVID-19 vaccines with high efficacy, more effective vaccines are still needed to protect against the new variants of SARS-CoV-2. Employing a comprehensive immunoinformatic prediction algorithm and leveraging the genetic closeness with SARS-CoV, we have predicted potential immune epitopes in the structural proteins of SARS-CoV-2. The S and N proteins of SARS-CoV-2 and SARS-CoVs are main targets of antibody detection and have motivated us to design four multi-epitope vaccines which were based on our predicted B- and T-cell epitopes of SARS-CoV-2 structural proteins. The cardinal epitopes selected for the vaccine constructs are predicted to possess antigenic, non-allergenic, and cytokine-inducing properties. Additionally, some of the predicted epitopes have been experimentally validated in published papers. Furthermore, we used the C-ImmSim server to predict effective immune responses induced by the epitope-based vaccines. Taken together, the immune epitopes predicted in this study provide a platform for future experimental validations which may facilitate the development of effective vaccine candidates and epitope-based serological diagnostic assays.
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spelling pubmed-85924462021-11-16 Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins Devi, Yengkhom Damayanti Goswami, Himanshu Ballav Konwar, Sushmita Doley, Chandrima Dolley, Anutee Devi, Arpita Chongtham, Chen Dowerah, Dikshita Biswa, Vashkar Jamir, Latonglila Kumar, Aditya Satapathy, Siddhartha Shankar Ray, Suvendra Kumar Deka, Ramesh Chandra Doley, Robin Mandal, Manabendra Das, Sandeep Singh, Chongtham Shyamsunder Borah, Partha Pratim Nath, Pabitra Namsa, Nima D. PLoS One Research Article All approved coronavirus disease 2019 (COVID-19) vaccines in current use are safe, effective, and reduce the risk of severe illness. Although data on the immunological presentation of patients with COVID-19 is limited, increasing experimental evidence supports the significant contribution of B and T cells towards the resolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Despite the availability of several COVID-19 vaccines with high efficacy, more effective vaccines are still needed to protect against the new variants of SARS-CoV-2. Employing a comprehensive immunoinformatic prediction algorithm and leveraging the genetic closeness with SARS-CoV, we have predicted potential immune epitopes in the structural proteins of SARS-CoV-2. The S and N proteins of SARS-CoV-2 and SARS-CoVs are main targets of antibody detection and have motivated us to design four multi-epitope vaccines which were based on our predicted B- and T-cell epitopes of SARS-CoV-2 structural proteins. The cardinal epitopes selected for the vaccine constructs are predicted to possess antigenic, non-allergenic, and cytokine-inducing properties. Additionally, some of the predicted epitopes have been experimentally validated in published papers. Furthermore, we used the C-ImmSim server to predict effective immune responses induced by the epitope-based vaccines. Taken together, the immune epitopes predicted in this study provide a platform for future experimental validations which may facilitate the development of effective vaccine candidates and epitope-based serological diagnostic assays. Public Library of Science 2021-11-15 /pmc/articles/PMC8592446/ /pubmed/34780495 http://dx.doi.org/10.1371/journal.pone.0258645 Text en © 2021 Devi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Devi, Yengkhom Damayanti
Goswami, Himanshu Ballav
Konwar, Sushmita
Doley, Chandrima
Dolley, Anutee
Devi, Arpita
Chongtham, Chen
Dowerah, Dikshita
Biswa, Vashkar
Jamir, Latonglila
Kumar, Aditya
Satapathy, Siddhartha Shankar
Ray, Suvendra Kumar
Deka, Ramesh Chandra
Doley, Robin
Mandal, Manabendra
Das, Sandeep
Singh, Chongtham Shyamsunder
Borah, Partha Pratim
Nath, Pabitra
Namsa, Nima D.
Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins
title Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins
title_full Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins
title_fullStr Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins
title_full_unstemmed Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins
title_short Immunoinformatics mapping of potential epitopes in SARS-CoV-2 structural proteins
title_sort immunoinformatics mapping of potential epitopes in sars-cov-2 structural proteins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592446/
https://www.ncbi.nlm.nih.gov/pubmed/34780495
http://dx.doi.org/10.1371/journal.pone.0258645
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