IN SILICO IDENTIFICATION AND CHARACTERIZATION OF MUTUAL EPITOPE-BASED SUBUNIT VACCINE AGAINST EBOLA VIRUS AND MARBURG VIRUS
Keywords:
Epitopes, Ebola virus, Marburg virus, Molecular DockingAbstract
Objective: The objective of the study was to analyze the mutual epitope-based vaccine that can evoke immune response against hemorrhagic fever caused by Ebola virus (EBOV) and Marburg virus (MARV).
Methodology: VP40, VP24, VP35, VP30, and NP proteins of Ebola and MARV were recovered from the protein database and subjected to many bioinformatics tools to predict the best B- and T-cell epitopes. And finally, the selected proteins were subjected to molecular docking human leukocyte antigen (HLA)-DR (major histocompatibility complex [MHC] Class I and II) to confirm their antigenicity in silico.
Results: The epitopes from EBOV were stable while were unstable from MARV. Further, molecular docking simulation using most significant MHC Class II and Class I molecules demonstrated that their epitopes may bind within HLA-binding affinity to evoke an immune response.
Conclusions: In this study, the data revealed the epitopes from VP40 protein could be the specific target for peptide-based vaccine design against Ebola and MARV.
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