Abstract
Monkeypox (Mpox) is a zoonotic disease caused by the Monkeypox Virus (MPV), a member of the Orthopoxvirus genus of viruses. Although the virus typically results in mild symptoms, such as fever, muscle pain, and rash, its complications specially in vulnerable populations are severe and life-threatening. Currently, there is no specific treatment for Mpox, and available smallpox vaccines have undesirable adverse reactions, making further vaccine development imperative. The current study adopted a reverse vaccinology approach to design a Multi-Epitope based Subunit Vaccine (MEPV) against MPV. Four highly antigenic proteins, with no significant similarity with the homo sapiens proteome, were considered. All B and T cell (both major histocompatibility - MHC-I and MHC-II) epitopes were predicted, and non-toxic, soluble, non-allergenic, and antigenic epitopes were short-listed. The top eight epitopes were then selected from each of the MHC-I, MHC-II and B-cells epitopes. The selected epitopes demonstrated an overall coverage of 93.7% of the world's population. The final vaccine construct contained 450 amino acid residues with high antigenic, immunogenic, non-toxic, and non-allergenic characteristics. The 3D structure of the vaccine was predicted by the I-Tasser online tool and refined using Galaxyweb server. Molecular docking analysis by Haddock indicated that the designed structure has good binding affinity for human pathogenic immune receptor TLR-3. Furthermore, the In-silico Immune Simulations confirmed that the proposed vaccine construct can elicit cell-based immune responses. Finally, Repeated-exposure simulations established rapid antigen clearance. Overall, our bioinformatics-based experiments suggest that the proposed MEPV could be a potential vaccine candidate to combat MPV, however, further in vitro cell culture and in vivo animal model experimental validations are needed prior to clinical trials.
| Original language | British English |
|---|---|
| Title of host publication | Proceedings - 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences |
| Subtitle of host publication | Healthcare Evolution through Technology and Artificial Intelligence, IECBES 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 317-322 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350383409 |
| DOIs | |
| State | Published - 2024 |
| Event | 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2024 - Penang, Malaysia Duration: 11 Dec 2024 → 13 Dec 2024 |
Publication series
| Name | Proceedings - 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences: Healthcare Evolution through Technology and Artificial Intelligence, IECBES 2024 |
|---|
Conference
| Conference | 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2024 |
|---|---|
| Country/Territory | Malaysia |
| City | Penang |
| Period | 11/12/24 → 13/12/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- In Silico
- Molecular Docking
- Monkeypox
- Vaccine Designing
- Virus
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