Literature DB >> 31634814

Designing a multi-epitope vaccine for cross-protection against Shigella spp: An immunoinformatics and structural vaccinology study.

Mokhtar Nosrati1, Abbas Hajizade2, Shahram Nazarian3, Jafar Amani4, Amir Namvar Vansofla3, Yousof Tarverdizadeh3.   

Abstract

Shigellosis is a severe diarrheal disease with high mortality and morbidity rate. Until now, there is no approved vaccine against the disease. Therefore, the present study was planned to design a novel multi-epitope vaccine against Shigella spp., the causative agents of the disease based on the immunoinformatic tools. For this end, firstly seven conserved antigens of the bacteria, including IpaA, IpaB, IpaC, IpaD, OmpC, OmpF and VirG were selected. Then, linear B-cell epitope mapping of these proteins was carried out and top-ranked and shared epitopes were selected based on antigenicity, allergenicity, stability, toxicity and physicochemical properties for further analysis. In next step, B-cell derived T-cell epitopes were determined and appropriate epitopes were selected for incorporation into the final construct. Moreover, the selected epitopes and two mucosal adjuvants including ctxB and LT-IIc were joined using appropriate linkers. The three dimensional structure of the final construct was modeled and evaluated in term of structural quality and presence of conformational B-cell epitopes. Furthermore, binding affinity of the proposed vaccine to MHC I and II molecules were evaluated through molecular docking method using Hex 8.0. as well as the stability of the vaccine-MHC complexes was monitored by molecular dynamics method using the NAMD graphical user interface embedded in visual molecular dynamics. Finally, to evaluate the immunogenicity of the designed protein, the protein was administered to BALB/c mice and the serum IgG was determined by ELISA. The results indicated that the proposed vaccine has high structural quality and binding affinity to both MHC I and II molecules. Moreover, molecular dynamics studies confirmed that the vaccine-MHC docked complexes were stable during simulation time. Animal study showed that the proposed protein is able to evoke mice's humoral immune response. In sum, the results suggested that the proposed candidate vaccine could be considered as a promising anti-shigellosis vaccine.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computational vaccinology; Immunoinformatics; Infectious disease; Shigellosis; Vaccine

Year:  2019        PMID: 31634814     DOI: 10.1016/j.molimm.2019.09.018

Source DB:  PubMed          Journal:  Mol Immunol        ISSN: 0161-5890            Impact factor:   4.407


  11 in total

1.  In-Silico Vaccine Design Based on a Novel Vaccine Candidate Against Infections Caused by Acinetobacter baumannii.

Authors:  Kashaf Khalid; Sidra Irum; Sidra Rahmat Ullah; Saadia Andleeb
Journal:  Int J Pept Res Ther       Date:  2021-12-02       Impact factor: 1.931

2.  Designing of a Novel Multi-Antigenic Epitope-Based Vaccine against E. hormaechei: An Intergraded Reverse Vaccinology and Immunoinformatics Approach.

Authors:  Thamer H Albekairi; Abdulrahman Alshammari; Metab Alharbi; Amal F Alshammary; Muhammad Tahir Ul Qamar; Asad Ullah; Muhammad Irfan; Sajjad Ahmad
Journal:  Vaccines (Basel)       Date:  2022-04-22

3.  Proteome-Wide and Protein-Specific Multi-Epitope Vaccine Constructs Against the Rift Valley Fever Virus Outbreak Using Integrated Omics Approaches.

Authors:  Aqel Albutti
Journal:  Front Microbiol       Date:  2022-05-31       Impact factor: 6.064

4.  In silico design of a multi-epitope peptide construct as a potential vaccine candidate for Influenza A based on neuraminidase protein.

Authors:  Mandana Behbahani; Mohammad Moradi; Hassan Mohabatkar
Journal:  In Silico Pharmacol       Date:  2021-05-11

5.  EpitoCore: Mining Conserved Epitope Vaccine Candidates in the Core Proteome of Multiple Bacteria Strains.

Authors:  Tayna S Fiuza; João P M S Lima; Gustavo A de Souza
Journal:  Front Immunol       Date:  2020-05-05       Impact factor: 7.561

6.  Luteolin and abyssinone II as potential inhibitors of SARS-CoV-2: an in silico molecular modeling approach in battling the COVID-19 outbreak.

Authors:  Mohammad Mahfuz Ali Khan Shawan; Sajal Kumar Halder; Md Ashraful Hasan
Journal:  Bull Natl Res Cent       Date:  2021-01-20

7.  TonB-dependent receptor epitopes expressed in M. bovis BCG induced significant protection in the hamster model of leptospirosis.

Authors:  Everton B Bettin; Jessica Dorneles; Amanda S Hecktheuer; Andriele B Madruga; Amilton C P Seixas Neto; Alan J A McBride; Thais L Oliveira; André A Grassmann; Odir A Dellagostin
Journal:  Appl Microbiol Biotechnol       Date:  2021-12-11       Impact factor: 4.813

8.  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

9.  In Silico Designed Multi-Epitope Immunogen "Tpme-VAC/LGCM-2022" May Induce Both Cellular and Humoral Immunity against Treponema pallidum Infection.

Authors:  Lucas Gabriel Rodrigues Gomes; Thaís Cristina Vilela Rodrigues; Arun Kumar Jaiswal; Roselane Gonçalves Santos; Rodrigo Bentes Kato; Debmalya Barh; Khalid J Alzahrani; Hamsa Jameel Banjer; Siomar de Castro Soares; Vasco Azevedo; Sandeep Tiwari
Journal:  Vaccines (Basel)       Date:  2022-06-25

10.  Identification of vaccine candidate against Omicron variant of SARS-CoV-2 using immunoinformatic approaches.

Authors:  Ruchika Sharma; C R Patil; Anoop Kumar; Kalicharan Sharma
Journal:  In Silico Pharmacol       Date:  2022-07-26
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