Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
---|---|
Article number | e01151-22 |
Journal / Publication | Microbiology Spectrum |
Volume | 10 |
Issue number | 5 |
Online published | 12 Sep 2022 |
Publication status | Published - 26 Oct 2022 |
Externally published | Yes |
Link(s)
DOI | DOI |
---|---|
Attachment(s) | Documents
Publisher's Copyright Statement
|
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85140856140&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(cc3badd4-519d-4075-928a-28902c41da4b).html |
Abstract
Epstein-Barr virus (EBV) is a lymphotropic virus responsible for numerous epithelial and lymphoid cell malignancies, including gastric carcinoma, Hodgkin’s lymphoma, nasopharyngeal carcinoma, and Burkitt lymphoma. Hundreds of thousands of people worldwide get infected with this virus, and in most cases, this viral infection leads to cancer. Although researchers are trying to develop potential vaccines and drug therapeutics, there is still no effective vaccine to combat this virus. In this study, the immunoinformatics approach was utilized to develop a potential multiepitope subunit vaccine against the two most common subtypes of EBV, targeting three of their virulent envelope glycoproteins. Eleven cytotoxic T lymphocyte (CTL) epitopes, 11 helper T lymphocyte (HTL) epitopes, and 10 B-cell lymphocyte (BCL) epitopes were predicted to be antigenic, nonallergenic, nontoxic, and fully conserved among the two subtypes, and nonhuman homologs were used for constructing the vaccine after much analysis. Later, further validation experiments, including molecular docking with different immune receptors (e.g., Toll-like receptors [TLRs]), molecular dynamics simulation analyses (including root means square deviation [RMSD], root mean square fluctuation [RMSF], radius of gyration [Rg], principal-component analysis [PCA], dynamic cross-correlation [DCC], definition of the secondary structure of proteins [DSSP], and Molecular Mechanics Poisson-Boltzmann Surface Area [MM-PBSA]), and immune simulation analyses generated promising results, ensuring the safe and stable response of the vaccine with specific immune receptors after potential administration within the human body. The vaccine’s high binding affinity with TLRs was revealed in the docking study, and a very stable interaction throughout the simulation proved the potential high efficacy of the proposed vaccine. Further, in silico cloning was also conducted to design an efficient mass production strategy for future bulk industrial vaccine production.
Research Area(s)
- Epstein-Barr virus, immunoinformatics, subunit vaccine, molecular dynamics simulation, envelope glycoproteins
Citation Format(s)
Immunoinformatics Approach to Design Novel Subunit Vaccine against the Epstein-Barr Virus. / Moin, Abu Tayab; Patil, Rajesh B.; Tabassum, Tahani et al.
In: Microbiology Spectrum, Vol. 10, No. 5, e01151-22, 26.10.2022.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Download Statistics
No data available