In silico design and immunoinformatics analysis of a universal multi-epitope vaccine against monkeypox virus

PLoS One. 2023 May 23;18(5):e0286224. doi: 10.1371/journal.pone.0286224. eCollection 2023.

Abstract

Monkeypox virus (MPXV) outbreaks have been reported in various countries worldwide; however, there is no specific vaccine against MPXV. In this study, therefore, we employed computational approaches to design a multi-epitope vaccine against MPXV. Initially, cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), linear B lymphocytes (LBL) epitopes were predicted from the cell surface-binding protein and envelope protein A28 homolog, both of which play essential roles in MPXV pathogenesis. All of the predicted epitopes were evaluated using key parameters. A total of 7 CTL, 4 HTL, and 5 LBL epitopes were chosen and combined with appropriate linkers and adjuvant to construct a multi-epitope vaccine. The CTL and HTL epitopes of the vaccine construct cover 95.57% of the worldwide population. The designed vaccine construct was found to be highly antigenic, non-allergenic, soluble, and to have acceptable physicochemical properties. The 3D structure of the vaccine and its potential interaction with Toll-Like receptor-4 (TLR4) were predicted. Molecular dynamics (MD) simulation confirmed the vaccine's high stability in complex with TLR4. Finally, codon adaptation and in silico cloning confirmed the high expression rate of the vaccine constructs in strain K12 of Escherichia coli (E. coli). These findings are very encouraging; however, in vitro and animal studies are needed to ensure the potency and safety of this vaccine candidate.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Epitopes
  • Escherichia coli
  • Membrane Proteins
  • Monkeypox virus*
  • Mpox (monkeypox)*
  • Toll-Like Receptor 4

Substances

  • Epitopes
  • Toll-Like Receptor 4
  • Membrane Proteins

Grants and funding

This study was financially supported by the Research Deputy of Shahrekord University of Medical Sciences with grant number 6411.