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From ZikV Genome to Vaccine: In Silico Approach for the Epitope based peptide vaccine against Zika virus envelope glycoprotein.

ABSTRACT

Recently, Zika virus has emerged as a potential threat to human health worldwide. Zika is the member of Flaviviridae, is transmitted to humans by mosquitoes. It is related to other pathogenic vector borne flaviviruses including dengue, West-Nile and Japanese encephalitis viruses, but produces a comparatively mild disease in humans. Despite of its epidemic outbreak and lack of potential medication, there is a need for improved vaccine /drugs. The use of computational technique will bring some facts into the research limelight. In this study, to begin with comparative analysis of ZikV genomes that can lead to the identification of the core characteristics that define a virus family, as well as the unique properties. Phylogenetic analysis shows the evolutionary relationship and gave the clue about protein's ancestry image. Envelope glycoprotein of ZikV was obtained from a protein database and determines the most immunogenic epitope for T_cell and B_cell which involved in cell-mediated immunity, whereas B_cells are primarily responsible for humoral immunity. We mainly focused on MHC class-I potential peptides. YRIMLSVHG, VLIFLSTAV and MMLELDPPF, GLDFSDLYY are the most potent peptides predicted as epitopes for CD4(+) and CD8(+) T_cell respectively, where as MMLELDPPF and GLDFSDLYY had found highest I-pMHC immunogenicity score and these are further tested for interaction against the HLA molecules, using in-silico docking techniques to verify the binding cleft epitope. However, this is an introductory approach to design an epitope based peptide vaccine against Zika virus; we hope that this model will be very helpful in designing and predicting novel vaccine candidate. This article is protected by copyright. All rights reserved.