Harnessing Immunoinformatics for Precision Vaccines: Designing Epitope-Based Subunit Vaccines against Hepatitis E Virus

Elijah Kolawole Oladipo*, Emmanuel Oluwatobi Dairo, Comfort Olukemi Bamigboye, Ayodeji Folorunsho Ajayi, Olugbenga Samson Onile, Olumuyiwa Elijah Ariyo, Esther Moradeyo Jimah, Olubukola Monisola Oyawoye, Julius Kola Oloke, Bamidele Abiodun Iwalokun, Olumide Faith Ajani, Helen Onyeaka*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Background/Objectives: Hepatitis E virus (HEV) is an RNA virus recognized to be spread mainly by fecal-contaminated water. Its infection is known to be a serious threat to public health globally, mostly in developing countries, in which Africa is one of the regions sternly affected. An African-based vaccine is necessary to actively prevent HEV infection. Methods: This study developed an in silico epitope-based subunit vaccine, incorporating CTL, HTL, and BL epitopes with suitable linkers and adjuvants. Results: The in silico-designed vaccine construct proved immunogenic, non-allergenic, and non-toxic and displayed appropriate physicochemical properties with high solubility. The 3D structure was modeled and subjected to protein docking with Toll-like receptors 2, 3, 4, 6, 8, and 9, which showed a stable binding efficacy, and the dynamics simulation indicated steady interaction. Furthermore, the immune simulation predicted that the designed vaccine would instigate immune responses when administered to humans. Lastly, using a codon adaptation for the E. coli K12 bacterium produced optimum GC content and a high CAI value, which was followed by in silico integration into a pET28 b (+) cloning vector. Conclusions: Generally, these results propose that the design of an epitope-based subunit vaccine can function as an outstanding preventive vaccine candidate against HEV, although validation techniques via in vitro and in vivo approaches are required to justify this statement.
Original languageEnglish
Pages (from-to)1620-1637
Number of pages18
JournalBioMedInformatics
Volume4
Issue number3
DOIs
Publication statusPublished - 26 Jun 2024

Keywords

  • hepatitis E virus
  • immunoinformatics
  • vaccine
  • immune simulation
  • capsid protein

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