Immunoinformatics-driven Design and in silico Validation of a Multi-epitope Subunit Vaccine Targeting Norovirus
R. Nitish Kumar, Parvana Nair, Kesiya Joy, L. A. Ramachandra Prasad, V. G. Shanmuga Priya
Asian Journal of Immunology · pp. 55–70 · Published 10 Mar 2026
10.9734/aji/2026/v9i1184Abstract
Background: Norovirus, a non-enveloped, positive-sense single-stranded RNA virus belonging to the Caliciviridae family, is a leading cause of acute gastroenteritis (AGE) globally, accounting for approximately 19–21 million cases annually in the United States alone. The rapid emergence of genetically diverse variants, including GII.17, poses significant challenges to conventional vaccine development. Therefore, alternative strategies capable of inducing broad and effective immune responses are urgently needed. Methods: An immunoinformatics-driven approach was employed to design a multi-epitope subunit vaccine candidate against Norovirus. Three viral proteins—capsid protein (A7YK10), small protein (A7YK11), and polyprotein (A7YK09)—were selected for epitope prediction using the Immune Epitope Database (IEDB). Predicted B-cell and T-cell epitopes were screened for antigenicity (VaxiJen), allergenicity (AllerTOP), toxicity (ToxinPred), and global population coverage. The finalized construct was evaluated for physicochemical properties (ProtParam), structural integrity (secondary and tertiary structure prediction, Ramachandran analysis, QMEAN scoring), molecular docking interactions with MHC class I, MHC class II, and Toll-like receptor 4 (TLR4), molecular dynamics stability, immune response simulation, and codon optimization for expression feasibility. Results: A 433-amino-acid multi-epitope construct incorporating six B-cell, six cytotoxic T lymphocyte (CTL), and nine helper T lymphocyte (HTL) epitopes was generated. The construct demonstrated high predicted antigenicity and broad global population coverage (98.96%). Structural validation indicated favorable stereochemical quality, with 88.9% residues in the most favored regions of the Ramachandran plot and a QMEAN Z-score of −0.97. Docking analysis revealed strong binding affinity, particularly with TLR4 (HADDOCK score −103.9 ± 11.0), and molecular dynamics simulation confirmed stability of the vaccine–TLR4 complex over 100 ns. Conclusion: The designed multi-epitope vaccine construct exhibits promising immunogenic, structural, and interaction profiles in silico, supporting its potential as a candidate for further experimental validation in vitro and in vivo.
Cited by 0
No indexed citations yet.
Related research
- Glycosylated Antibiotics: New Promising Bacterial Efflux Pumps Inhibitors — shares topic coverage
- Integrating In-silico and In-vitro Approaches to Screen the Antidiabetic Drug from Trigonella foenum graecum Linn. — shares topic coverage
- Structural Mapping of Inhibitors Binding Sites on P-glycoprotein: Mechanism of Inhibition of P-Glycoprotein by Herbal Isoflavones — shares topic coverage
- Azamacrocycle Complexes: Synthesis and Xanthine Oxidase and Antioxidant Activity — shares topic coverage
- Evaluation of Selected Natural Compounds for Cancer Stem Cells Targeted Anti-cancer Activity: A Molecular Docking Study — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.