In Silico Modeling and Immunoinformatics Probing Disclose the Epitope Based PeptideVaccine Against Zika Virus Envelope Glycoprotein

Mohammad Mahfuz Ali Khan Shawan, Hafij Al Mahmud, Md. Mahmudul Hasan, Afroza Parvin, Md. Nazibur Rahman, S. M Badier Rahman

Abstract


Zika virus (ZIKV) is an aedes mosquito borne pathogen belonging to the member of
flaviviridae subgroup is the causative agent of an emerging disease called Zika fever, known
as a benign infection usually presenting as influenza like illness with cutaneous rash. Due to
recent epidemic outbreaks it is realized as a major health risk which need enhanced
surveillance, but no attempt has been made to design an epitope based peptide vaccine against
Zika virus. Viral envelope proteins are derived from host cell membrane proteins with some
viral glycoproteins and are used to cover their protective protein capsid, help the viruses to
enter host cells and help them to avoid the host immune response. In this study, amino acid
sequence of ZIKV envelope glycoprotein was obtained from a protein database and examined
with in silico approaches to determine the most immunogenic epitopes for B cell and T cell
which could induce humoral as well as cell mediated immune response. Both the linear and
conformational epitopes for B cell were predicted by immunoinformatics tools housed in
IEDB resources. The peptide sequence DAHAKRQTVVVLGSQEGAV from position 121
and peptide sequence from 117-137 amino acids were predicted as most potential B cell linear
and conformational epitopes respectively. Epitopes for CD4+ and CD8+ T cell were also
predicted by using tools within IEDB resource and peptide sequence MMLELDPPF from
position 250-258 amino acids was predicted as most immunogenic CD8+ T cell epitope with
immune response evoking ability prediction score (I pMHC) of 0.09139 and conservancy of
52.17%. The innate immune response for ZIKV envelope glycoprotein was determined by
interferon (IFN)-gamma effectuation and mimicking capacity by immunoinformatics and
molecular docking study respectively. However, this is an introductory approach to design an
epitope based peptide vaccine against Zika virus; we hope this model will be very much
helpful in designing and predicting novel vaccine candidate.

Keywords


Epitope, Vaccine, in silico, Immunoinformatics, Conservancy, Molecular docking.impairment

Full Text:

Full text


DOI: https://doi.org/10.30750/ijpbr.2.4.10

Refbacks

  • There are currently no refbacks.