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A Computational Vaccine Designing Approached for MERS-CoV Infections

1The National Ribat University

2Dean of the faculty of medical laboratory science, The National Ribat University

American Journal of Infectious Diseases and Microbiology. 2017, Vol. 5 No. 1, 4-60
DOI: 10.12691/ajidm-5-1-2
Copyright © 2017 Science and Education Publishing

Cite this paper:
Hiba Siddig Ibrahim, Shamsoun Khamis Kafi. A Computational Vaccine Designing Approached for MERS-CoV Infections. American Journal of Infectious Diseases and Microbiology. 2017; 5(1):4-60. doi: 10.12691/ajidm-5-1-2.

Correspondence to: Hiba  Siddig Ibrahim, The National Ribat University. Email:


The emergence of a new novel coronavirus infections recently known as MERS-CoV, that characterize by quickly progressing disease with multiple organs failures, that’s resembles SARS-CoV outbreak in 2003-2004. MERS-CoV becomes a scientists and WHO objectives in order to try to stop pandemic infections by rapidly developing coronavirus vaccine; one of this techniques are epitope prediction vaccine by computational methods; in silico, because it can accelerate vaccine development process especially when the convention procedures they are difficult to be applicable, time -consuming, expensive and also need to approved by FDA. The aim of this study was to use IEDB software to predict the suitable MERS-CoV epitope vaccine against the most known world population alleles through four selecting proteins such as S glycoprotein, envelope protein and their modification sequences. The main aim of this study is the developing of MERS-CoV vaccine by using IEDB services as one of the computational methods; the output of this study showed that S glycoprotein, envelope (E) protein and S and E protein modified sequences of MERS-CoV might be considered as a protective immunogenic with high conservancy because they can elect both neutralizing antibodies and T-cell responses when reacting with B-cell, T- helper cell and Cytotoxic T-lymphocyte. A total numbers of B-cell epitopes represented 1, 3, 20 and 27 for E, modified E, S and modified S glycoprotein sequential but 18 epitopes were shared between S and modified S glycoprotein while for CTL were represented 63, 41, 602, 612 epitopes for E, modified E, S and modified S glycoprotein sequential and for T-helper cell they represented 685 epitopes for each of E and modified E proteins while they are 212 and 6896 epitopes for S and modified S glycoprotein sequential; NetCTL, NetChop and MHC-NP were used to confirm our results but still there are problems with most selected epitopes due to presence of arginine that hiding epitopes from recognition by immune system. Population coverage analysis showed that the putative helper T-cell epitopes and CTL epitopes could cover most of the world population in more than 60 geographical regions. According to AllerHunter results, all those selected different protein showed non- allergen, this finding makes this computational vaccine study more desirable for vaccine synthesis.