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Conserved B and T Cell Epitopes Prediction of Ebola Virus Glycoprotein for Vaccine Development: An Immuno-informatics Approach

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Journal Microb Pathog
Date 2019 May 11
PMID 31075428
Citations 34
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Abstract

Ebola virus (EBOV), a non-segmented single-stranded RNA virus, is often-most transmitted through body fluids like sweat, tears, saliva, and nasal secretions. Till date, there is no licensed vaccine of EBOV is available in the market; however, the world is increasingly vulnerable to this emerging threat. Hence, it is the need of time to develop a vaccine for EBOV to hinder its dissemination. The current study has been designed for identification and characterization of the potential B and T-cell epitopes using the Immuno-informatics tools, and it helped in finding the potent vaccine candidates against EBOV. Prediction, antigenicity and allergenicity testing of predicted B and T cells' epitopes was done as well to identify their potential as a vaccine candidate and to measure their safety level respectively. Among B-cell epitopes "WIPAGIGVTGVIIA" showed a high antigenicity score and it would play an important role in evoking the immune response. In T-cell epitopes, peptides "AIGLAWIPY" and "IRGFPRCRY" presented high antigenicity score, which binds to MHC class-I and MHC class-II alleles respectively. All predicted epitopes were analyzed and compared with already reported peptides carefully. Comparatively, Peptides predicted in the present study showed more immunogenicity score than already reported peptides, used as positive control, and are more immunogenic as compared to them. Peptides reported in the present study do not target only Zaire EBOV (ZEBOV), as in previous studies, but also other species, i.e. Tai Forest EBOV (TAFV), Sudan EBOV (SUDV), Bundibugyo EBOV (BDBV), and Reston EBOV (RESTV) and would bring the promising results as potent vaccine candidates.

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References
1.
Hossain R, Yasmin T, Hosen M, Nabi A . In silico identification of potential epitopes present in human adenovirus proteins for vaccine design and of putative drugs for treatment against viral infection. J Immunol Methods. 2018; 455:55-70. DOI: 10.1016/j.jim.2018.01.005. View

2.
Ashfaq U, Ahmed B . De Novo Structural Modeling and Conserved Epitopes Prediction of Zika Virus Envelop Protein for Vaccine Development. Viral Immunol. 2016; 29(7):436-43. DOI: 10.1089/vim.2016.0033. View

3.
Kringelum J, Lundegaard C, Lund O, Nielsen M . Reliable B cell epitope predictions: impacts of method development and improved benchmarking. PLoS Comput Biol. 2013; 8(12):e1002829. PMC: 3531324. DOI: 10.1371/journal.pcbi.1002829. View

4.
Barlow D, Edwards M, Thornton J . Continuous and discontinuous protein antigenic determinants. Nature. 1986; 322(6081):747-8. DOI: 10.1038/322747a0. View

5.
Marzi A, Yoshida R, Miyamoto H, Ishijima M, Suzuki Y, Higuchi M . Protective efficacy of neutralizing monoclonal antibodies in a nonhuman primate model of Ebola hemorrhagic fever. PLoS One. 2012; 7(4):e36192. PMC: 3338609. DOI: 10.1371/journal.pone.0036192. View