IN SILICO IDENTIFICATION AND CHARACTERIZATION OF MUTUAL EPITOPE-BASED SUBUNIT VACCINE AGAINST EBOLA VIRUS AND MARBURG VIRUS

  • SAMEER SHARMA Department of Biotechnology, Dronacharya Government College, Gurugram, Haryana, India.
  • SUPRIYA JADHAV Department of Biotechnology, Dronacharya Government College, Gurugram, Haryana, India.
  • POOJA YADAV Department of Biotechnology, Dronacharya Government College, Gurugram, Haryana, India.

Abstract

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.

Keywords: Epitopes, Ebola virus, Marburg virus, Molecular Docking

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SHARMA, S., JADHAV, S., & YADAV, P. (2020). IN SILICO IDENTIFICATION AND CHARACTERIZATION OF MUTUAL EPITOPE-BASED SUBUNIT VACCINE AGAINST EBOLA VIRUS AND MARBURG VIRUS. Innovare Journal of Life Sciences, 8(3), 1-4. Retrieved from https://innovareacademics.in/journals/index.php/ijls/article/view/37225
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