Immunoinformatics-driven design of a multi-epitope vaccine against Seoul Virus: Structural, dynamic, and immunogenic profiling

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Authors: Muhammad Naveed, Muhammad Asim, Tariq Aziz, Hafiz Muzzammel Rehman, Wafa Abdullah I Al-Megrin, Ashwag Shami, Maher S Alwethaynani, Abdullah A. Alqasem, Ahmad A Alghamdi, Mohammed F. Abuzinadah, Ahmed M. Abdulfattah, Majid Alhomrani
Cited by: 3
References: 34

Abstract

• Immunoinformatics-based design of a multi-epitope vaccine against Seoul virus (SEOV). • Designed Vaccine construct V2 showed 95.94% global coverage and strong antigenicity. • Docking and molecular dynamics simulations confirmed stable binding of V2 with the TLR4 receptor. • Immune simulations predicted strong IgG1, IFN-γ, and memory responses of V2. • Codon optimization and in silico cloning confirmed expression feasibility. Seoul Virus (SEOV), a zoonotic hantavirus, is a major cause of Hemorrhagic Fever with Renal Syndrome (HFRS) and represents a global health challenge. With no licensed vaccines or specific antivirals available, this study aimed to design a glycoprotein-based multi-epitope vaccine against SEOV using immunoinformatics approaches. Material s and methods MHC-I and MHC-II epitopes were predicted via the Immune Epitope Database (IEDB) and screened for antigenicity, non-allergenicity, and non-toxicity. Four constructs were designed, with V2 selected as the best candidate. Structural modeling was performed using AlphaFold3 and validated with Ramachandran analysis. Molecular docking with Toll-like receptor-4, molecular dynamics simulations, and immune simulations were conducted to evaluate stability and immunogenicity. The V2 construct demonstrated high antigenicity (0.683) and broad population coverage (95.94%). Structural validation confirmed 95.6% of residues in favored regions. Docking revealed strong binding to Toll-like receptor-4, and dynamics confirmed stability through RMSD, RMSF, Rg, PCA, DCCM, and FEL analysis. Immune simulations predicted robust responses, including high IgG1 titers. Codon optimization (GC content 56.62%) and cloning confirmed expression potential. The V2 construct exhibits stability, strong immunogenicity, and broad population coverage, supporting its potential as a vaccine candidate against SEOV. Experimental validation in vitro and in vivo is required to confirm efficacy and safety.

Fields of Study & Subjects

vaccines and immunoinformatics approaches Viral Infections and Vectors Viral Infections and Outbreaks Research

Publication details

Journal / source
Clinics
Publisher
Elsevier BV
Volume
81
Pages
100991–100991
Publication date
1 January 2026
Language
EN