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Strategic Development of a Next-Generation Multi-Epitope Vaccine To Prevent Nipah Virus Zoonotic Infection
[Image: see text] Nipah virus (NiV) is an emerging zoonotic pathogen, reported for the recent severe outbreaks of encephalitis and respiratory illness in humans and animals, respectively. Many antiviral drugs have been discovered to inhibit this pathogen, but none of them were that much efficient. T...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6705194/ https://www.ncbi.nlm.nih.gov/pubmed/31460434 http://dx.doi.org/10.1021/acsomega.9b00944 |
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author | Ojha, Rupal Pareek, Aditi Pandey, Rajan K. Prusty, Dhaneswar Prajapati, Vijay K. |
author_facet | Ojha, Rupal Pareek, Aditi Pandey, Rajan K. Prusty, Dhaneswar Prajapati, Vijay K. |
author_sort | Ojha, Rupal |
collection | PubMed |
description | [Image: see text] Nipah virus (NiV) is an emerging zoonotic pathogen, reported for the recent severe outbreaks of encephalitis and respiratory illness in humans and animals, respectively. Many antiviral drugs have been discovered to inhibit this pathogen, but none of them were that much efficient. To overcome the complications associated with this severe pathogenic virus, we have designed a multi-epitope subunit vaccine using computational immunology strategies. Identification of structural and nonstructural proteins of Nipah virus assisted in the vaccine designing. The selected proteins are known to be involved in the survival of the virus. The antigenic binders (B-cell, HTL, and CTL) from the selected proteins were prognosticated. These antigenic binders will be able to generate the humoral as well as cell-mediated immunity. All the epitopes were united with the help of suitable linkers and with an adjuvant at the N-terminal of the vaccine, for the enhancement of immunogenicity. The physiological characterization, along with antigenicity and allergenicity of the designed vaccine candidates, was estimated. The 3D structure prediction and its validation were performed. The validated vaccine model was then docked and simulated with the TLR-3 receptor to check the stability of the docked complex. This next-generation approach will provide a new vision for the development of a high immunogenic vaccine against the NiV. |
format | Online Article Text |
id | pubmed-6705194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-67051942019-08-27 Strategic Development of a Next-Generation Multi-Epitope Vaccine To Prevent Nipah Virus Zoonotic Infection Ojha, Rupal Pareek, Aditi Pandey, Rajan K. Prusty, Dhaneswar Prajapati, Vijay K. ACS Omega [Image: see text] Nipah virus (NiV) is an emerging zoonotic pathogen, reported for the recent severe outbreaks of encephalitis and respiratory illness in humans and animals, respectively. Many antiviral drugs have been discovered to inhibit this pathogen, but none of them were that much efficient. To overcome the complications associated with this severe pathogenic virus, we have designed a multi-epitope subunit vaccine using computational immunology strategies. Identification of structural and nonstructural proteins of Nipah virus assisted in the vaccine designing. The selected proteins are known to be involved in the survival of the virus. The antigenic binders (B-cell, HTL, and CTL) from the selected proteins were prognosticated. These antigenic binders will be able to generate the humoral as well as cell-mediated immunity. All the epitopes were united with the help of suitable linkers and with an adjuvant at the N-terminal of the vaccine, for the enhancement of immunogenicity. The physiological characterization, along with antigenicity and allergenicity of the designed vaccine candidates, was estimated. The 3D structure prediction and its validation were performed. The validated vaccine model was then docked and simulated with the TLR-3 receptor to check the stability of the docked complex. This next-generation approach will provide a new vision for the development of a high immunogenic vaccine against the NiV. American Chemical Society 2019-08-07 /pmc/articles/PMC6705194/ /pubmed/31460434 http://dx.doi.org/10.1021/acsomega.9b00944 Text en Copyright © 2019 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Ojha, Rupal Pareek, Aditi Pandey, Rajan K. Prusty, Dhaneswar Prajapati, Vijay K. Strategic Development of a Next-Generation Multi-Epitope Vaccine To Prevent Nipah Virus Zoonotic Infection |
title | Strategic Development of a Next-Generation Multi-Epitope
Vaccine To Prevent Nipah Virus Zoonotic Infection |
title_full | Strategic Development of a Next-Generation Multi-Epitope
Vaccine To Prevent Nipah Virus Zoonotic Infection |
title_fullStr | Strategic Development of a Next-Generation Multi-Epitope
Vaccine To Prevent Nipah Virus Zoonotic Infection |
title_full_unstemmed | Strategic Development of a Next-Generation Multi-Epitope
Vaccine To Prevent Nipah Virus Zoonotic Infection |
title_short | Strategic Development of a Next-Generation Multi-Epitope
Vaccine To Prevent Nipah Virus Zoonotic Infection |
title_sort | strategic development of a next-generation multi-epitope
vaccine to prevent nipah virus zoonotic infection |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6705194/ https://www.ncbi.nlm.nih.gov/pubmed/31460434 http://dx.doi.org/10.1021/acsomega.9b00944 |
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