An integrated structural and immunoinformatic approach to design a multi-epitope based vaccine against the foot-and-mouth disease virus

The Foot-and-mouth disease virus (FMDV) is highly contagious, affecting cloven-hoofed animals and causing significant economic losses to the livestock industry. Its high genetic variability complicates vaccine development, necessitating frequent updates to traditional inactivated vaccines. Multi-epitope-based vaccines (MEBVs) offer a promising alternative by incorporating immunogenic epitopes to elicit robust humoral and cell-mediated immune responses, thereby providing broader protection against diverse FMDV strains. Using in silico approaches, we designed a novel FMDV-targeting MBEV specifically tailored to the BoLA alleles to ensure optimal epitope selection for cattle. The MEBV included non-toxic, antigenic, and non-allergenic epitopes combined with β-defensin 3 adjuvants, PADRE sequences, and linkers to enhance immunogenicity and stability. Molecular docking and dynamics simulations confirmed strong binding affinity and stable interactions with TLR3 and TLR7, and immune simulation analysis revealed notable increases in B-cell and T-cell populations, cytokines, and macrophages, with sustained levels of IFN-γ and IL-2. Codon optimization for Escherichia coli K12 enhanced expression, and in silico restriction cloning demonstrated its scalability for production. Our findings suggest that the MEBV design is a cost-effective and efficient approach to combat FMDV. While experimental validation is required, the in silico results also highlight its potential to trigger protective immune responses and address the limitations of traditional vaccines.

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Publication Details

Journal
Scientific Reports
Published
2025-10-14
DOI
https://doi.org/10.1038/s41598-025-19826-6
Citations
2
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
1.61

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article

An integrated structural and immunoinformatic approach to design a multi-epitope based vaccine against the foot-and-mouth disease virus

Sthitaprajna Sahoo, Hak‐Kyo Lee, Donghyun Shin
2 citations
Scientific Reports
vaccines and immunoinformatics approaches
1.61
article

An integrated structural and immunoinformatic approach to design a multi-epitope based vaccine against the foot-and-mouth disease virus

Sthitaprajna Sahoo, Hak‐Kyo Lee, Donghyun Shin
article en
2 citations

Abstract

The Foot-and-mouth disease virus (FMDV) is highly contagious, affecting cloven-hoofed animals and causing significant economic losses to the livestock industry. Its high genetic variability complicates vaccine development, necessitating frequent updates to traditional inactivated vaccines. Multi-epitope-based vaccines (MEBVs) offer a promising alternative by incorporating immunogenic epitopes to elicit robust humoral and cell-mediated immune responses, thereby providing broader protection against diverse FMDV strains. Using in silico approaches, we designed a novel FMDV-targeting MBEV specifically tailored to the BoLA alleles to ensure optimal epitope selection for cattle. The MEBV included non-toxic, antigenic, and non-allergenic epitopes combined with β-defensin 3 adjuvants, PADRE sequences, and linkers to enhance immunogenicity and stability. Molecular docking and dynamics simulations confirmed strong binding affinity and stable interactions with TLR3 and TLR7, and immune simulation analysis revealed notable increases in B-cell and T-cell populations, cytokines, and macrophages, with sustained levels of IFN-γ and IL-2. Codon optimization for Escherichia coli K12 enhanced expression, and in silico restriction cloning demonstrated its scalability for production. Our findings suggest that the MEBV design is a cost-effective and efficient approach to combat FMDV. While experimental validation is required, the in silico results also highlight its potential to trigger protective immune responses and address the limitations of traditional vaccines.

Scientific ReportsVol. 15(1)
Jeonbuk National University (KR)
National Research Foundation, Ministry of Education, National Research Foundation of Korea, INNOPOLIS Foundation, Ministry of Science and ICT, South Korea, Jeonbuk National University
Openalex Percentile: Top 14%
vaccines and immunoinformatics approaches
1.61
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