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In silico analysis of VP2 protein from infectious bursal disease virus isolate UPM1432/2019: structural dynamics and epitope prediction


Citation

Mansour, Ali Youssif and Omar, Abdul Rahman and Bejo, Mohd Hair and Alitheen, Noorjahan Banu and Mat Isa, Nurulfiza (2026) In silico analysis of VP2 protein from infectious bursal disease virus isolate UPM1432/2019: structural dynamics and epitope prediction. Antonie van Leeuwenhoek, International Journal of General and Molecular Microbiology, 119 (1). art. no. 4. pp. 1-20. ISSN 0003-6072; eISSN: 1572-9699

Abstract

Infectious Bursal Disease Virus (IBDV) remains a significant threat to global poultry health due to its immunosuppressive effects and high mutation rate, which challenge existing vaccine strategies. This study presents a comprehensive computational analysis of the VP2 protein from Malaysian IBDV isolate UPM1432/2019 to elucidate its structural stability and antigenic potential. Phylogenetic analysis revealed evolutionary divergence among VP2 sequences, while physicochemical profiling demonstrated the protein’s high thermostability (aliphatic index: 98.77) and cellular stability (instability index: 17.55). Molecular dynamics simulations at 20 °C, 40 °C, 60 °C, and 80 °C showed progressive destabilization at elevated temperatures, indicated by increased RMSD, reduced hydrogen bonding, and higher solvent accessibility. Epitope prediction identified twelve linear and seven conformational B-cell epitopes, with several conserved, surface-exposed regions demonstrating high antigenicity. The most immunodominant conformational epitope (L168–E181) achieved a high ElliPro score of 0.903, indicating strong immune recognition potential. These findings highlight structurally stable and immunoreactive domains within VP2, offering valuable insights for the development of next-generation, thermostable epitope-based vaccines for effective IBDV control.


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Additional Metadata

Item Type: Article
Subject: Microbiology
Subject: Molecular Biology
Divisions: Faculty of Biotechnology and Biomolecular Sciences
Faculty of Veterinary Medicine
Institute of Bioscience
DOI Number: https://doi.org/10.1007/s10482-025-02209-2
Publisher: Springer Science and Business Media Deutschland GmbH
Keywords: Antigenicity; Epitope prediction; Molecular dynamics simulation; Protein stability; VP2 protein
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 27 Jan 2026 07:46
Last Modified: 27 Jan 2026 07:46
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s10482-025-02209-2
URI: http://psasir.upm.edu.my/id/eprint/122690
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