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Aims: Ebola and Marburg viruses cause fatal hemorrhagic fever in both human and non-human primates. Absence of any licensed vaccine has further deteriorated the problem. In the present study, we aimed to design potential epitope based vaccines against these viruses using computational approaches. Methodology: By using various bioinformatics tools and databases, we analyzed the conserved glycoprotein sequences of Ebola and Marburg viruses and predicted two potential epitopes which may be used as peptide vaccines. Results: Using various B-cell and T-cell epitope prediction servers, four highly conserved epitopes were identified. Epitope conservancy analysis showed that “LEASKRWAF” and Original Research Article Hossain et al.; JAMB, 17(1): 1-16, 2019; Article no.JAMB.49785 2 “DSPLEASKRWAFRTG” epitopes were 100% and 93.62% conserved and the worldwide population coverage of “LEASKRWAF” interacting with MHC class I molecules and “DSPLEASKRWAFRTG” interacting with MHC class II molecules were 78.74% and 75.75% respectively. Immunoinformatics analysis showed that they are highly immunogenic, flexible and accessible to antibody. Molecular docking simulation analysis demonstrated a very significant interaction between epitopes and MHC molecules with lower binding energy. Cytotoxic analysis and ADMET test also supported their potential as vaccine candidates. Conclusion: In sum, our in silico approach demonstrated that both “LEASKRWAF” and “DSPLEASKRWAFRTG” hold the promise for the development of common vaccine against Ebola and Marburg viruses.

journal of advances in microbiology

Immunoinformatics Approach Identified Two Highly Conserved B and T Cell Epitopes, LEASKRWAF and DSPLEASKRWAFRTG, for Effective Vaccine Design against Ebola and Marburg Viruses