Literature DB >> 32444135

Exploiting the reverse vaccinology approach to design novel subunit vaccines against Ebola virus.

Md Asad Ullah1, Bishajit Sarkar2, Syed Sajidul Islam1.   

Abstract

Ebola virus is a highly pathogenic RNA virus that causes the Ebola haemorrhagic fever in human. This virus is considered as one of the dangerous viruses in the world with very high mortality rate. To date, no epitope-based subunit vaccine has yet been discovered to fight against Ebola although the outbreaks of this deadly virus took many lives in the past. In this study, approaches of reverse vaccinology were utilized in combination with different tools of immunoinformatics to design subunit vaccines against Ebola virus strain Mayinga-76. Three potential antigenic proteins of this virus i.e., matrix protein VP40, envelope glycoprotein and nucleoprotein were selected to construct the subunit vaccine. The MHC class-I, MHC class-II and B-cell epitopes were determined initially and after some robust analysis i.e., antigenicity, allergenicity, toxicity, conservancy and molecular docking study, EV-1, EV-2 and EV-3 were constructed as three potential vaccine constructs. These vaccine constructs are also expected to be effective on few other strains of Ebola virus since the highly conserved epitopes were used for vaccine construction. Thereafter, molecular docking study was conducted on these vaccines and EV-1 emerged as the best vaccine construct. Afterward, molecular dynamics simulation study revealed the good performances and stability of the intended vaccine protein. Finally, codon adaptation and in silico cloning were carried out to design a possible plasmid (pET-19b plasmid vector was used) for large scale production of the EV-1 vaccine. However, further in vitro and in vivo studies might be required on the predicted vaccines for final validation.
Copyright © 2020 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Ebola virus; Epitopes; Immunoinformatics; Vaccine

Mesh:

Substances:

Year:  2020        PMID: 32444135     DOI: 10.1016/j.imbio.2020.151949

Source DB:  PubMed          Journal:  Immunobiology        ISSN: 0171-2985            Impact factor:   3.144


  22 in total

1.  Designing a novel multi‑epitope vaccine against Ebola virus using reverse vaccinology approach.

Authors:  Morteza Alizadeh; Hossein Amini-Khoei; Shahram Tahmasebian; Mahdi Ghatrehsamani; Keihan Ghatreh Samani; Yadolah Edalatpanah; Susan Rostampur; Majid Salehi; Maryam Ghasemi-Dehnoo; Fatemeh Azadegan-Dehkordi; Samira Sanami; Nader Bagheri
Journal:  Sci Rep       Date:  2022-05-11       Impact factor: 4.996

2.  Insight Into Novel Anti-tuberculosis Vaccines by Using Immunoinformatics Approaches.

Authors:  Zafran Khan; Daniya Ualiyeva; Obed Boadi Amissah; Sanjeep Sapkota; H M Adnan Hameed; Tianyu Zhang
Journal:  Front Microbiol       Date:  2022-06-02       Impact factor: 6.064

3.  In silico analysis of epitope-based vaccine candidate against tuberculosis using reverse vaccinology.

Authors:  Shaheen Bibi; Inayat Ullah; Bingdong Zhu; Muhammad Adnan; Romana Liaqat; Wei-Bao Kong; Shiquan Niu
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

4.  Immunoinformatics design of a novel epitope-based vaccine candidate against dengue virus.

Authors:  Adewale Oluwaseun Fadaka; Nicole Remaliah Samantha Sibuyi; Darius Riziki Martin; Mediline Goboza; Ashwil Klein; Abram Madimabe Madiehe; Mervin Meyer
Journal:  Sci Rep       Date:  2021-10-05       Impact factor: 4.379

5.  Immunoinformatics-guided designing of epitope-based subunit vaccines against the SARS Coronavirus-2 (SARS-CoV-2).

Authors:  Bishajit Sarkar; Md Asad Ullah; Fatema Tuz Johora; Masuma Afrin Taniya; Yusha Araf
Journal:  Immunobiology       Date:  2020-05-11       Impact factor: 3.144

6.  Engineering a novel subunit vaccine against SARS-CoV-2 by exploring immunoinformatics approach.

Authors:  Bishajit Sarkar; Md Asad Ullah; Yusha Araf; Mohammad Shahedur Rahman
Journal:  Inform Med Unlocked       Date:  2020-11-11

Review 7.  Molecular characterization, pathogen-host interaction pathway and in silico approaches for vaccine design against COVID-19.

Authors:  Nidhi Singh; Sachchida Nand Rai; Veer Singh; Mohan P Singh
Journal:  J Chem Neuroanat       Date:  2020-10-19       Impact factor: 3.052

8.  Exploration of surface glycoprotein to design multi-epitope vaccine for the prevention of Covid-19.

Authors:  Elijah Kolawole Oladipo; Ayodeji Folorunsho Ajayi; Olumuyiwa Elijah Ariyo; Samson Olugbenga Onile; Esther Moradeyo Jimah; Louis Odinakaose Ezediuno; Oluwadunsin Iyanuoluwa Adebayo; Emmanuel Tayo Adebayo; Aduragbemi Noah Odeyemi; Marvellous Oluwaseun Oyeleke; Moyosoluwa Precious Oyewole; Ayomide Samuel Oguntomi; Olawumi Elizabeth Akindiya; Bunmi Olayemi Olamoyegun; Victoria Oyetayo Aremu; Abiola O Arowosaye; Dorcas Olubunmi Aboderin; Habibat Bolanle Bello; Tosin Yetunde Senbadejo; Elukunbi Hilda Awoyelu; Adio Abayomi Oladipo; Bukola Bisola Oladipo; Lydia Oluwatoyin Ajayi; Olusola Nathaniel Majolagbe; Olubukola Monisola Oyawoye; Julius Kola Oloke
Journal:  Inform Med Unlocked       Date:  2020-10-04

9.  Probing the Rhipicephalusbursa Sialomes in Potential Anti-Tick Vaccine Candidates: A Reverse Vaccinology Approach.

Authors:  Joana Couto; Gonçalo Seixas; Christian Stutzer; Nicholas A Olivier; Christine Maritz-Olivier; Sandra Antunes; Ana Domingos
Journal:  Biomedicines       Date:  2021-03-31

10.  In-silico designing of epitope-based vaccine against the seven banded grouper nervous necrosis virus affecting fish species.

Authors:  Amit Joshi; Dinesh Chandra Pathak; M Amin-Ul Mannan; Vikas Kaushik
Journal:  Netw Model Anal Health Inform Bioinform       Date:  2021-05-31
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