Strategies for Vaccine Design for Coronavirus All Variants of Concern Using Immunoinformatics Techniques
Infection, Epidemiology and Microbiology
; 8(3):259-276, 2022.
Article
in English
| Scopus | ID: covidwho-2207019
ABSTRACT
Aims:
A short sequence of viral protein/ peptide could be used as a potential vaccine to treat coronavirus. Considering all variants of concern (VOC), designing a peptide vaccine for severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) is a challenging task for scientists. Materials &Methods:
In this study, an epitope-containing vaccine peptide in nonstructural protein 4 (nsp4) of SARS-CoV-2 was predicted. Using a modified method for both B and T cell epitope prediction (verified by molecular docking studies), linear B and T cell epitopes of nsp4 protein were predicted. Predicted epitopes were analyzed with population coverage calculation and epitope conservancy analysis.Findings:
The short peptide sequence74QRGGSYTNDKA84 was selected as B-cell epitope by considering the scores of surface accessibility, hydrophilicity, and beta turn for each amino acid residue. Similarly, the peptide sequences 359 FLAHIQWMV367 and359FLAHIQWVMFTPLV373 were predicted as T cell epitopes for MHC-I and MHC-II molecules. These two potential epitopes could favor HLA-A*0201 and HLA-DRB*0101 as MHC allelic proteins with the lowest IC50 values, respectively. No amino acid mutations were observed in GISAID (global initiative on sharing all influenza data) database for alpha, beta, gamma, and delta variants of concerns. Among seven amino acid point mutations in nsp4 protein of omicron variant, none were present in the peptide sequences of the predicted epitopes.Conclusion:
Short peptide sequences could be predicted as vaccines to prevent infections caused by coronavirus variants of concerns. © 2022, TMU Press.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Topics:
Vaccines
/
Variants
Language:
English
Journal:
Infection, Epidemiology and Microbiology
Year:
2022
Document Type:
Article
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