Cargando…

Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach

Ebola virus (EBOV), a non-segmented single-stranded RNA virus, is often-most transmitted through body fluids like sweat, tears, saliva, and nasal secretions. Till date, there is no licensed vaccine of EBOV is available in the market; however, the world is increasingly vulnerable to this emerging thr...

Descripción completa

Detalles Bibliográficos
Autores principales: Ahmad, Bilal, Ashfaq, Usman Ali, Rahman, Mahmood-ur, Masoud, Muhammad Shareef, Yousaf, Muhammad Zubair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270928/
https://www.ncbi.nlm.nih.gov/pubmed/31075428
http://dx.doi.org/10.1016/j.micpath.2019.05.010
_version_ 1783541989791236096
author Ahmad, Bilal
Ashfaq, Usman Ali
Rahman, Mahmood-ur
Masoud, Muhammad Shareef
Yousaf, Muhammad Zubair
author_facet Ahmad, Bilal
Ashfaq, Usman Ali
Rahman, Mahmood-ur
Masoud, Muhammad Shareef
Yousaf, Muhammad Zubair
author_sort Ahmad, Bilal
collection PubMed
description Ebola virus (EBOV), a non-segmented single-stranded RNA virus, is often-most transmitted through body fluids like sweat, tears, saliva, and nasal secretions. Till date, there is no licensed vaccine of EBOV is available in the market; however, the world is increasingly vulnerable to this emerging threat. Hence, it is the need of time to develop a vaccine for EBOV to hinder its dissemination. The current study has been designed for identification and characterization of the potential B and T-cell epitopes using the Immuno-informatics tools, and it helped in finding the potent vaccine candidates against EBOV. Prediction, antigenicity and allergenicity testing of predicted B and T cells' epitopes was done as well to identify their potential as a vaccine candidate and to measure their safety level respectively. Among B-cell epitopes “WIPAGIGVTGVIIA” showed a high antigenicity score and it would play an important role in evoking the immune response. In T-cell epitopes, peptides “AIGLAWIPY” and “IRGFPRCRY” presented high antigenicity score, which binds to MHC class-I and MHC class-II alleles respectively. All predicted epitopes were analyzed and compared with already reported peptides carefully. Comparatively, Peptides predicted in the present study showed more immunogenicity score than already reported peptides, used as positive control, and are more immunogenic as compared to them. Peptides reported in the present study do not target only Zaire EBOV (ZEBOV), as in previous studies, but also other species, i.e. Tai Forest EBOV (TAFV), Sudan EBOV (SUDV), Bundibugyo EBOV (BDBV), and Reston EBOV (RESTV) and would bring the promising results as potent vaccine candidates.
format Online
Article
Text
id pubmed-7270928
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-72709282020-06-05 Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach Ahmad, Bilal Ashfaq, Usman Ali Rahman, Mahmood-ur Masoud, Muhammad Shareef Yousaf, Muhammad Zubair Microb Pathog Article Ebola virus (EBOV), a non-segmented single-stranded RNA virus, is often-most transmitted through body fluids like sweat, tears, saliva, and nasal secretions. Till date, there is no licensed vaccine of EBOV is available in the market; however, the world is increasingly vulnerable to this emerging threat. Hence, it is the need of time to develop a vaccine for EBOV to hinder its dissemination. The current study has been designed for identification and characterization of the potential B and T-cell epitopes using the Immuno-informatics tools, and it helped in finding the potent vaccine candidates against EBOV. Prediction, antigenicity and allergenicity testing of predicted B and T cells' epitopes was done as well to identify their potential as a vaccine candidate and to measure their safety level respectively. Among B-cell epitopes “WIPAGIGVTGVIIA” showed a high antigenicity score and it would play an important role in evoking the immune response. In T-cell epitopes, peptides “AIGLAWIPY” and “IRGFPRCRY” presented high antigenicity score, which binds to MHC class-I and MHC class-II alleles respectively. All predicted epitopes were analyzed and compared with already reported peptides carefully. Comparatively, Peptides predicted in the present study showed more immunogenicity score than already reported peptides, used as positive control, and are more immunogenic as compared to them. Peptides reported in the present study do not target only Zaire EBOV (ZEBOV), as in previous studies, but also other species, i.e. Tai Forest EBOV (TAFV), Sudan EBOV (SUDV), Bundibugyo EBOV (BDBV), and Reston EBOV (RESTV) and would bring the promising results as potent vaccine candidates. Elsevier Ltd. 2019-07 2019-05-07 /pmc/articles/PMC7270928/ /pubmed/31075428 http://dx.doi.org/10.1016/j.micpath.2019.05.010 Text en © 2019 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ahmad, Bilal
Ashfaq, Usman Ali
Rahman, Mahmood-ur
Masoud, Muhammad Shareef
Yousaf, Muhammad Zubair
Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach
title Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach
title_full Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach
title_fullStr Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach
title_full_unstemmed Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach
title_short Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach
title_sort conserved b and t cell epitopes prediction of ebola virus glycoprotein for vaccine development: an immuno-informatics approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270928/
https://www.ncbi.nlm.nih.gov/pubmed/31075428
http://dx.doi.org/10.1016/j.micpath.2019.05.010
work_keys_str_mv AT ahmadbilal conservedbandtcellepitopespredictionofebolavirusglycoproteinforvaccinedevelopmentanimmunoinformaticsapproach
AT ashfaqusmanali conservedbandtcellepitopespredictionofebolavirusglycoproteinforvaccinedevelopmentanimmunoinformaticsapproach
AT rahmanmahmoodur conservedbandtcellepitopespredictionofebolavirusglycoproteinforvaccinedevelopmentanimmunoinformaticsapproach
AT masoudmuhammadshareef conservedbandtcellepitopespredictionofebolavirusglycoproteinforvaccinedevelopmentanimmunoinformaticsapproach
AT yousafmuhammadzubair conservedbandtcellepitopespredictionofebolavirusglycoproteinforvaccinedevelopmentanimmunoinformaticsapproach