Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses

Jamestown Canyon virus (JCV) is a deadly viral infection transmitted by various mosquito species. This mosquito-borne virus belongs to Bunyaviridae family, posing a high public health threat in the in tropical regions of the United States causing encephalitis in humans. Common symptoms of JCV includ...

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Main Authors: Shahab, Muhammad, Aiman, Sara, Alshammari, Abdulrahman, Alasmari, Abdullah F., Alharbi, Metab, Khan, Abbas *, Wei, Dong-Qing, Zheng, Guojun
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Published: Elsevier 2023
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Online Access:http://eprints.sunway.edu.my/2680/
https://doi.org/10.1016/j.ijbiomac.2023.126678
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spelling my.sunway.eprints.26802024-06-24T01:34:49Z http://eprints.sunway.edu.my/2680/ Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses Shahab, Muhammad Aiman, Sara Alshammari, Abdulrahman Alasmari, Abdullah F. Alharbi, Metab Khan, Abbas * Wei, Dong-Qing Zheng, Guojun QP Physiology QR Microbiology RC Internal medicine TP Chemical technology Jamestown Canyon virus (JCV) is a deadly viral infection transmitted by various mosquito species. This mosquito-borne virus belongs to Bunyaviridae family, posing a high public health threat in the in tropical regions of the United States causing encephalitis in humans. Common symptoms of JCV include fever, headache, stiff neck, photophobia, nausea, vomiting, and seizures. Despite the availability of resources, there is currently no vaccine or drug available to combat JCV. The purpose of this study was to develop an epitope-based vaccine using immunoinformatics approaches. The vaccine aimed to be secure, efficient, bio-compatible, and capable of stimulating both innate and adaptive immune responses. In this study, the protein sequence of JCV was obtained from the NCBI database. Various bioinformatics methods, including toxicity evaluation, antigenicity testing, conservancy analysis, and allergenicity assessment were utilized to identify the most promising epitopes. Suitable linkers and adjuvant sequences were used in the design of vaccine construct. 50s ribosomal protein sequence was used as an adjuvant at the N-terminus of the construct. A total of 5 CTL, 5 HTL, and 5 linear B cell epitopes were selected based on non-allergenicity, immunological potential, and antigenicity scores to design a highly immunogenic multi-peptide vaccine construct. Strong interactions between the proposed vaccine and human immune receptors, i.e., TLR-2 and TLR-4, were revealed in a docking study using ClusPro software, suggesting their possible relevance in the immunological response to the vaccine. Immunological and physicochemical properties assessment ensured that the proposed vaccine demonstrated high immunogenicity, solubility and thermostability. Molecular dynamics simulations confirmed the strong binding affinities, as well as dynamic and structural stability of the proposed vaccine. Immune simulation suggest that the vaccine has the potential to effectively stimulate cellular and humoral immune responses to combat JCV infection. Experimental and clinical assays are required to validate the results of this study. Elsevier 2023 Article PeerReviewed Shahab, Muhammad and Aiman, Sara and Alshammari, Abdulrahman and Alasmari, Abdullah F. and Alharbi, Metab and Khan, Abbas * and Wei, Dong-Qing and Zheng, Guojun (2023) Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses. International Journal of Biological Macromolecules, 253. ISSN 1879-0003 https://doi.org/10.1016/j.ijbiomac.2023.126678 10.1016/j.ijbiomac.2023.126678
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
topic QP Physiology
QR Microbiology
RC Internal medicine
TP Chemical technology
spellingShingle QP Physiology
QR Microbiology
RC Internal medicine
TP Chemical technology
Shahab, Muhammad
Aiman, Sara
Alshammari, Abdulrahman
Alasmari, Abdullah F.
Alharbi, Metab
Khan, Abbas *
Wei, Dong-Qing
Zheng, Guojun
Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses
description Jamestown Canyon virus (JCV) is a deadly viral infection transmitted by various mosquito species. This mosquito-borne virus belongs to Bunyaviridae family, posing a high public health threat in the in tropical regions of the United States causing encephalitis in humans. Common symptoms of JCV include fever, headache, stiff neck, photophobia, nausea, vomiting, and seizures. Despite the availability of resources, there is currently no vaccine or drug available to combat JCV. The purpose of this study was to develop an epitope-based vaccine using immunoinformatics approaches. The vaccine aimed to be secure, efficient, bio-compatible, and capable of stimulating both innate and adaptive immune responses. In this study, the protein sequence of JCV was obtained from the NCBI database. Various bioinformatics methods, including toxicity evaluation, antigenicity testing, conservancy analysis, and allergenicity assessment were utilized to identify the most promising epitopes. Suitable linkers and adjuvant sequences were used in the design of vaccine construct. 50s ribosomal protein sequence was used as an adjuvant at the N-terminus of the construct. A total of 5 CTL, 5 HTL, and 5 linear B cell epitopes were selected based on non-allergenicity, immunological potential, and antigenicity scores to design a highly immunogenic multi-peptide vaccine construct. Strong interactions between the proposed vaccine and human immune receptors, i.e., TLR-2 and TLR-4, were revealed in a docking study using ClusPro software, suggesting their possible relevance in the immunological response to the vaccine. Immunological and physicochemical properties assessment ensured that the proposed vaccine demonstrated high immunogenicity, solubility and thermostability. Molecular dynamics simulations confirmed the strong binding affinities, as well as dynamic and structural stability of the proposed vaccine. Immune simulation suggest that the vaccine has the potential to effectively stimulate cellular and humoral immune responses to combat JCV infection. Experimental and clinical assays are required to validate the results of this study.
format Article
author Shahab, Muhammad
Aiman, Sara
Alshammari, Abdulrahman
Alasmari, Abdullah F.
Alharbi, Metab
Khan, Abbas *
Wei, Dong-Qing
Zheng, Guojun
author_facet Shahab, Muhammad
Aiman, Sara
Alshammari, Abdulrahman
Alasmari, Abdullah F.
Alharbi, Metab
Khan, Abbas *
Wei, Dong-Qing
Zheng, Guojun
author_sort Shahab, Muhammad
title Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses
title_short Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses
title_full Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses
title_fullStr Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses
title_full_unstemmed Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses
title_sort immunoinformatics-based potential multi-peptide vaccine designing against jamestown canyon virus (jcv) capable of eliciting cellular and humoral immune responses
publisher Elsevier
publishDate 2023
url http://eprints.sunway.edu.my/2680/
https://doi.org/10.1016/j.ijbiomac.2023.126678
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