Peptide-based subunit vaccine design of T-and b-cells multi-epitopes against zika virus using immunoinformatics approaches

Vivitri Dewi Prasasty, Karel Grazzolie, Rosmalena Rosmalena, Fatmawaty Yazid, Fransiskus Xaverius Ivan, Ernawati Sinaga

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

The Zika virus disease, also known as Zika fever is an arboviral disease that became epidemic in the Pacific Islands and had spread to 18 territories of the Americas in 2016. Zika virus disease has been linked to several health problems such as microcephaly and the Guillain–Barré syndrome, but to date, there has been no vaccine available for Zika. Problems related to the development of a vaccine include the vaccination target, which covers pregnant women and children, and the antibody dependent enhancement (ADE), which can be caused by non-neutralizing antibodies. The peptide vaccine was chosen as a focus of this study as a safer platform to develop the Zika vaccine. In this study, a collection of Zika proteomes was used to find the best candidates for T-and B-cell epitopes using the immunoinformatics approach. The most promising T-cell epitopes were mapped using the selected human leukocyte antigen (HLA) alleles, and further molecular docking and dynamics studies showed a good peptide-HLA interaction for the best major histocompatibility complex-II (MHC-II) epitope. The most promising B-cell epitopes include four linear peptides predicted to be cross-reactive with T-cells, and conformational epitopes from two proteins accessible by antibodies in their native biological assembly. It is believed that the use of immunoinformatics methods is a promising strategy against the Zika viral infection in designing an efficacious multiepitope vaccine.

Original languageEnglish
Article number226
JournalMicroorganisms
Volume7
Issue number8
DOIs
Publication statusPublished - Aug 2019

Keywords

  • Epitope
  • Immunoinformatics
  • Molecular docking
  • Molecular dynamics
  • Peptide vaccine
  • Zika virus

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