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Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics framework

COVID-19 has been declared as a global health emergency and exposed the world to a deadly virus, which has dramatically changed the lives of humans for an unknown period of time. In the battleground with the virus, we have employed an immunoinformatics framework to design a robust vaccine as an insu...

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Detalles Bibliográficos
Autores principales: Kumar, Neeraj, Sood, Damini, Chandra, Ramesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9056885/
https://www.ncbi.nlm.nih.gov/pubmed/35517103
http://dx.doi.org/10.1039/d0ra06849g
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author Kumar, Neeraj
Sood, Damini
Chandra, Ramesh
author_facet Kumar, Neeraj
Sood, Damini
Chandra, Ramesh
author_sort Kumar, Neeraj
collection PubMed
description COVID-19 has been declared as a global health emergency and exposed the world to a deadly virus, which has dramatically changed the lives of humans for an unknown period of time. In the battleground with the virus, we have employed an immunoinformatics framework to design a robust vaccine as an insurance plan for the future. The pathogenic sequence with cryptic epitope taken from patients in Wuhan, China, was harnessed to design a promiscuous cytotoxic T-lymphocyte, helper T-lymphocyte, and B-cell epitope based subunit vaccine, engineered with adjuvants and conformational linkers. The reported vaccine has high antigenicity and immunogenicity profiles with potential TAP affinity, which ensures elevated antigen processing capability. It has strong binding with major histocompatibility complex (MHC) receptors (MHC-1 and MHC-2) and virus-specific membrane receptor TLR-2, with scores of −1010.7, −1035.7, and −1076.3 kcal mol(−1), respectively. Molecular dynamics simulation analysis was used to assess the stable binding with TLR-2 with minimal atomic motions through a deformation plot, covariance matrix, and elastic network. Importantly, an in silico immunization assay showed the reliable elicitation of key players in terms of immune cells together with memory cells to evoke adaptive immune responses upon administration of the construct. In view of favorable outcomes, we also propose a plausible vaccine mechanism to elicit an immune response to fight coronavirus.
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spelling pubmed-90568852022-05-04 Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics framework Kumar, Neeraj Sood, Damini Chandra, Ramesh RSC Adv Chemistry COVID-19 has been declared as a global health emergency and exposed the world to a deadly virus, which has dramatically changed the lives of humans for an unknown period of time. In the battleground with the virus, we have employed an immunoinformatics framework to design a robust vaccine as an insurance plan for the future. The pathogenic sequence with cryptic epitope taken from patients in Wuhan, China, was harnessed to design a promiscuous cytotoxic T-lymphocyte, helper T-lymphocyte, and B-cell epitope based subunit vaccine, engineered with adjuvants and conformational linkers. The reported vaccine has high antigenicity and immunogenicity profiles with potential TAP affinity, which ensures elevated antigen processing capability. It has strong binding with major histocompatibility complex (MHC) receptors (MHC-1 and MHC-2) and virus-specific membrane receptor TLR-2, with scores of −1010.7, −1035.7, and −1076.3 kcal mol(−1), respectively. Molecular dynamics simulation analysis was used to assess the stable binding with TLR-2 with minimal atomic motions through a deformation plot, covariance matrix, and elastic network. Importantly, an in silico immunization assay showed the reliable elicitation of key players in terms of immune cells together with memory cells to evoke adaptive immune responses upon administration of the construct. In view of favorable outcomes, we also propose a plausible vaccine mechanism to elicit an immune response to fight coronavirus. The Royal Society of Chemistry 2020-09-30 /pmc/articles/PMC9056885/ /pubmed/35517103 http://dx.doi.org/10.1039/d0ra06849g Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Kumar, Neeraj
Sood, Damini
Chandra, Ramesh
Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics framework
title Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics framework
title_full Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics framework
title_fullStr Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics framework
title_full_unstemmed Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics framework
title_short Design and optimization of a subunit vaccine targeting COVID-19 molecular shreds using an immunoinformatics framework
title_sort design and optimization of a subunit vaccine targeting covid-19 molecular shreds using an immunoinformatics framework
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9056885/
https://www.ncbi.nlm.nih.gov/pubmed/35517103
http://dx.doi.org/10.1039/d0ra06849g
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