Literature DB >> 32771659

Designing an efficient multi-epitope vaccine against Campylobacter jejuni using immunoinformatics and reverse vaccinology approach.

Nayan Gupta1, Ajay Kumar2.   

Abstract

Campylobacterjejuni causes acute diarrhea as a leading cause of morbidity and mortality in children especially in the developing countries of Asia and Africa. C.jejuni has been identified as a member of the priority pathogens category due to the sudden emergence of multidrug-resistant isolates. Therefore, it is important to develop a protective vaccine against this pathogen. In the present study, the Reverse vaccinology approach was used to identify vaccine targets from the proteome of diarrheagenic C. jejuni strain NCTC11168 for the development of chimeric vaccine candidates against C. jejuni. Pathogen proteins that have adhesin like properties and role in virulence but not present in the human host were selected for the design of a multi-epitope vaccine. MHC class I & II and B-cell epitopes present in the selected vaccine target proteins were screened using different immunoinformatics tools. The commonly predicted epitopes from their corresponding different servers were selected and further shortlisted based on their immunogenicity, antigenicity, and toxicity analysis. Shortlisted peptides were joined by GPGPG linkers to design a multi-epitope vaccine construct. Immune-modulating adjuvant monophosphoryl lipid sequence was added with the vaccine construct's N terminal using EAAAK linkers to enhance the immunogenicity. The designed vaccine construct was evaluated by antigenicity, allergenicity, solubility, and physicochemical analysis using various bioinformatics tools. A three-dimensional model of vaccine construct was modeled by the Phyre2 server and refinement by the GalaxyRefine tool. Constructed model quality was validated by the ProSA-web error-detection tool and the Ramachandran plot. After that vaccine model was docked with TLR-4 protein and complex stability confirmed by molecular dynamics simulation studies. Finally, In-silico cloning of vaccine constructs into a vector was performed to ensuring its effective expression in the microbial system.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  B-cell epitopes; Campylobacter jejuni; Epitopes; MHC Class I; MHC Class II; Molecular dynamics simulation; T-cell epitopes; Vaccine

Mesh:

Substances:

Year:  2020        PMID: 32771659     DOI: 10.1016/j.micpath.2020.104398

Source DB:  PubMed          Journal:  Microb Pathog        ISSN: 0882-4010            Impact factor:   3.738


  9 in total

1.  Design of a Multi-epitope Vaccine Against Acinetobacter baumannii Using Immunoinformatics Approach.

Authors:  Maryam Touhidinia; Fatemeh Sefid; Mozhgan Bidakhavidi
Journal:  Int J Pept Res Ther       Date:  2021-08-28       Impact factor: 1.931

2.  A Vaccine Construction against COVID-19-Associated Mucormycosis Contrived with Immunoinformatics-Based Scavenging of Potential Mucoralean Epitopes.

Authors:  Muhammad Naveed; Urooj Ali; Mohmed Isaqali Karobari; Naveed Ahmed; Roshan Noor Mohamed; Shahabe Saquib Abullais; Mohammed Abdul Kader; Anand Marya; Pietro Messina; Giuseppe Alessandro Scardina
Journal:  Vaccines (Basel)       Date:  2022-04-22

3.  In silico analysis of epitope-based CadF vaccine design against Campylobacter jejuni.

Authors:  Mona Moballegh Naseri; Saeed Shams; Mohammad Moballegh Naseri; Bita Bakhshi
Journal:  BMC Res Notes       Date:  2020-11-10

4.  Designing a Recombinant Vaccine against Providencia rettgeri Using Immunoinformatics Approach.

Authors:  Saba Gul; Sajjad Ahmad; Asad Ullah; Saba Ismail; Muhammad Khurram; Muhammad Tahir Ul Qamar; Abdulrahim R Hakami; Ali G Alkhathami; Faris Alrumaihi; Khaled S Allemailem
Journal:  Vaccines (Basel)       Date:  2022-01-25

5.  Designing multiepitope-based vaccine against Eimeria from immune mapped protein 1 (IMP-1) antigen using immunoinformatic approach.

Authors:  Thabile Madlala; Victoria T Adeleke; Abiodun J Fatoba; Moses Okpeku; Adebayo A Adeniyi; Matthew A Adeleke
Journal:  Sci Rep       Date:  2021-09-14       Impact factor: 4.996

6.  A reverse vaccinology and immunoinformatics approach for designing a multiepitope vaccine against SARS-CoV-2.

Authors:  Ehsan Jahangirian; Ghadir A Jamal; MohammadReza Nouroozi; Alemeh Mohammadpour
Journal:  Immunogenetics       Date:  2021-09-20       Impact factor: 2.846

7.  Top Down Computational Approach: A Vaccine Development Step to Find Novel Superantigenic HLA Binding Epitopes from Dengue Virus Proteome.

Authors:  Priti Sharma; Pawan Sharma; Ajay Kumar
Journal:  Int J Pept Res Ther       Date:  2021-03-02       Impact factor: 1.931

8.  Chikungunya Virus Vaccine Development: Through Computational Proteome Exploration for Finding of HLA and cTAP Binding Novel Epitopes as Vaccine Candidates.

Authors:  Priti Sharma; Pawan Sharma; Sheeba Ahmad; Ajay Kumar
Journal:  Int J Pept Res Ther       Date:  2022-01-17       Impact factor: 2.191

9.  Designing of a Recombinant Multi-Epitopes Based Vaccine against Enterococcus mundtii Using Bioinformatics and Immunoinformatics Approaches.

Authors:  Metab Alharbi; Abdulrahman Alshammari; Abdullah F Alasmari; Salman Mansour Alharbi; Muhammad Tahir Ul Qamar; Asad Ullah; Sajjad Ahmad; Muhammad Irfan; Atif Ali Khan Khalil
Journal:  Int J Environ Res Public Health       Date:  2022-03-21       Impact factor: 4.614

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.