Immuno-Informatics Analysis of Pakistan-Based HCV Subtype-3a for Chimeric Polypeptide Vaccine Design

Hepatitis C virus (HCV) causes chronic and acute hepatitis infections. As there is extreme variability in the HCV genome, no approved HCV vaccine has been available so far. An effective polypeptide vaccine based on the functionally conserved epitopes will be greatly helpful in curing disease. For th...

Cijeli opis

Bibliografski detalji
Glavni autori: Sajjad Ahmad, Farah Shahid, Muhammad Tahir ul Qamar, Habib ur Rehman, Sumra Wajid Abbasi, Wasim Sajjad, Saba Ismail, Faris Alrumaihi, Khaled S. Allemailem, Ahmad Almatroudi, Hafiz Fahad Ullah Saeed
Format: Članak
Jezik:English
Izdano: MDPI AG 2021-03-01
Serija:Vaccines
Teme:
Online pristup:https://www.mdpi.com/2076-393X/9/3/293
_version_ 1827697116774924288
author Sajjad Ahmad
Farah Shahid
Muhammad Tahir ul Qamar
Habib ur Rehman
Sumra Wajid Abbasi
Wasim Sajjad
Saba Ismail
Faris Alrumaihi
Khaled S. Allemailem
Ahmad Almatroudi
Hafiz Fahad Ullah Saeed
author_facet Sajjad Ahmad
Farah Shahid
Muhammad Tahir ul Qamar
Habib ur Rehman
Sumra Wajid Abbasi
Wasim Sajjad
Saba Ismail
Faris Alrumaihi
Khaled S. Allemailem
Ahmad Almatroudi
Hafiz Fahad Ullah Saeed
author_sort Sajjad Ahmad
collection DOAJ
description Hepatitis C virus (HCV) causes chronic and acute hepatitis infections. As there is extreme variability in the HCV genome, no approved HCV vaccine has been available so far. An effective polypeptide vaccine based on the functionally conserved epitopes will be greatly helpful in curing disease. For this purpose, an immuno-informatics study is performed based on the published HCV subtype-3a from Pakistan. First, the virus genome was translated to a polyprotein followed by a subsequent prediction of T-cell epitopes. Non-allergenic, IFN-γ producer, and antigenic epitopes were shortlisted, including 5 HTL epitopes and 4 CTL, which were linked to the final vaccine by GPGPG and AAY linkers, respectively. Beta defensin was included as an adjuvant through the EAAAK linker to improve the immunogenicity of the polypeptide. To ensure its safety and immunogenicity profile, antigenicity, allergenicity, and various physiochemical attributes of the polypeptide were evaluated. Molecular docking was conducted between TLR4 and vaccine to evaluate the binding affinity and molecular interactions. For stability assessment and binding of the vaccine-TLR4 docked complex, molecular dynamics (MD) simulation and MMGBSA binding free-energy analyses were conducted. Finally, the candidate vaccine was cloned in silico to ensure its effectiveness. The current vaccine requires future experimental confirmation to validate its effectiveness. The vaccine construct produced might be useful in providing immune protection against HCV-related infections.
first_indexed 2024-03-10T13:01:57Z
format Article
id doaj.art-2fae4dbd274e402d93320effd5ff7251
institution Directory Open Access Journal
issn 2076-393X
language English
last_indexed 2024-03-10T13:01:57Z
publishDate 2021-03-01
publisher MDPI AG
record_format Article
series Vaccines
spelling doaj.art-2fae4dbd274e402d93320effd5ff72512023-11-21T11:25:55ZengMDPI AGVaccines2076-393X2021-03-019329310.3390/vaccines9030293Immuno-Informatics Analysis of Pakistan-Based HCV Subtype-3a for Chimeric Polypeptide Vaccine DesignSajjad Ahmad0Farah Shahid1Muhammad Tahir ul Qamar2Habib ur Rehman3Sumra Wajid Abbasi4Wasim Sajjad5Saba Ismail6Faris Alrumaihi7Khaled S. Allemailem8Ahmad Almatroudi9Hafiz Fahad Ullah Saeed10Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, PakistanDepartment of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, PakistanCollege of Life Science and Technology, Guangxi University, Nanning 530004, ChinaDepartment of Medical, DHQ Hospital, Faisalabad Medical University, Faisalabad 38000, PakistanNUMS Department of Biological Sciences, National University of Medical Sciences, Rawalpindi 46000, PakistanNUMS Department of Biological Sciences, National University of Medical Sciences, Rawalpindi 46000, PakistanNUMS Department of Biological Sciences, National University of Medical Sciences, Rawalpindi 46000, PakistanDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi ArabiaDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi ArabiaDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi ArabiaKing Edward Medical University, Lahore 54000, PakistanHepatitis C virus (HCV) causes chronic and acute hepatitis infections. As there is extreme variability in the HCV genome, no approved HCV vaccine has been available so far. An effective polypeptide vaccine based on the functionally conserved epitopes will be greatly helpful in curing disease. For this purpose, an immuno-informatics study is performed based on the published HCV subtype-3a from Pakistan. First, the virus genome was translated to a polyprotein followed by a subsequent prediction of T-cell epitopes. Non-allergenic, IFN-γ producer, and antigenic epitopes were shortlisted, including 5 HTL epitopes and 4 CTL, which were linked to the final vaccine by GPGPG and AAY linkers, respectively. Beta defensin was included as an adjuvant through the EAAAK linker to improve the immunogenicity of the polypeptide. To ensure its safety and immunogenicity profile, antigenicity, allergenicity, and various physiochemical attributes of the polypeptide were evaluated. Molecular docking was conducted between TLR4 and vaccine to evaluate the binding affinity and molecular interactions. For stability assessment and binding of the vaccine-TLR4 docked complex, molecular dynamics (MD) simulation and MMGBSA binding free-energy analyses were conducted. Finally, the candidate vaccine was cloned in silico to ensure its effectiveness. The current vaccine requires future experimental confirmation to validate its effectiveness. The vaccine construct produced might be useful in providing immune protection against HCV-related infections.https://www.mdpi.com/2076-393X/9/3/293hepatitis C virusimmuno-informaticsdockingmolecular dynamics simulation
spellingShingle Sajjad Ahmad
Farah Shahid
Muhammad Tahir ul Qamar
Habib ur Rehman
Sumra Wajid Abbasi
Wasim Sajjad
Saba Ismail
Faris Alrumaihi
Khaled S. Allemailem
Ahmad Almatroudi
Hafiz Fahad Ullah Saeed
Immuno-Informatics Analysis of Pakistan-Based HCV Subtype-3a for Chimeric Polypeptide Vaccine Design
Vaccines
hepatitis C virus
immuno-informatics
docking
molecular dynamics simulation
title Immuno-Informatics Analysis of Pakistan-Based HCV Subtype-3a for Chimeric Polypeptide Vaccine Design
title_full Immuno-Informatics Analysis of Pakistan-Based HCV Subtype-3a for Chimeric Polypeptide Vaccine Design
title_fullStr Immuno-Informatics Analysis of Pakistan-Based HCV Subtype-3a for Chimeric Polypeptide Vaccine Design
title_full_unstemmed Immuno-Informatics Analysis of Pakistan-Based HCV Subtype-3a for Chimeric Polypeptide Vaccine Design
title_short Immuno-Informatics Analysis of Pakistan-Based HCV Subtype-3a for Chimeric Polypeptide Vaccine Design
title_sort immuno informatics analysis of pakistan based hcv subtype 3a for chimeric polypeptide vaccine design
topic hepatitis C virus
immuno-informatics
docking
molecular dynamics simulation
url https://www.mdpi.com/2076-393X/9/3/293
work_keys_str_mv AT sajjadahmad immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT farahshahid immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT muhammadtahirulqamar immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT habiburrehman immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT sumrawajidabbasi immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT wasimsajjad immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT sabaismail immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT farisalrumaihi immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT khaledsallemailem immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT ahmadalmatroudi immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign
AT hafizfahadullahsaeed immunoinformaticsanalysisofpakistanbasedhcvsubtype3aforchimericpolypeptidevaccinedesign