Evidence map›Paper›PMID 42417153›Full record

ArticleVeterinary medicine and science2026

Computational and Experimental Development of a Novel Multi-Epitope Vaccine Candidate Against Bovine Leukaemia Virus.

Yasaman Dini, Tohid Piri-Gharaghie, Elahe Hamdi, Pegah Goodarzi, Ronak Ahmadi

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Article in Veterinary medicine and science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yasaman DiniDepartment of Biology, Faculty of Biological Science, Babol University of Medical Science, Babol, Iran.
Tohid Piri-GharaghieBiotechnology Research Center, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.ORCID https://orcid.org/0000-0002-0041-5842
Elahe HamdiDepartment of Microbiology, Faculty of Basic Sciences, East Tehran Branch, Islamic Azad University, Tehran, Iran.
Pegah GoodarziDepartment of Veterinary, Faculty of Veterinary Medicine, Ka.C., Islamic Azad University, Karaj, Iran.
Ronak AhmadiDepartment of Veterinary, Faculty of Veterinary Medicine, Islamic Azad University of Tabriz, Tabriz, Iran.

Funding

public, commercial
6 · The paper itself

Abstract

backgroundBovine leukaemia virus (BLV) is the causative agent of enzootic bovine leukosis, a chronic infectious disease that causes significant economic losses in the dairy and beef industries worldwide. Despite extensive research, there is no licensed vaccine available for effective prevention and control of BLV infection.

objectivesThis study aimed to design and evaluate a novel multi-epitope vaccine candidate against BLV using an integrated computational and experimental approach to enhance immunogenicity, expression efficiency, and molecular stability.

methodsMajor BLV structural proteins (gp51, gp30, and p24) were analyzed for B- and T-cell epitope prediction using immunoinformatics tools. Selected epitopes were assembled into a single chimeric construct with appropriate linkers and an N-terminal β-defensin adjuvant. The vaccine was evaluated for antigenicity, allergenicity, and physicochemical properties. Structural modelling, molecular docking with Toll-like receptors (TLRs), and RNA stability analyses were performed to assess receptor binding affinity and translational efficiency. Codon optimization for Lactococcus lactis expression was conducted using the JCAT server, and in silico cloning was verified in the NICE pNZ8148 vector.

resultsThe designed vaccine showed high antigenicity (VaxiJen score: 0.7261), non-allergenicity, and stability, with an optimal codon adaptation index (0.94) and GC content (48.55%). Molecular docking revealed strong interactions with TLR9 (z-score = -2.5; van der Waals energy = -56.5 ± 3.8 kcal/mol), suggesting effective immune receptor engagement. RNAfold analysis indicated a stable mRNA structure (MFE = -155.20 kcal/mol), supporting efficient expression.

conclusionsThe multi-epitope vaccine candidate demonstrated favourable immunological, structural, and translational properties, indicating its strong potential as a next-generation recombinant vaccine against BLV. Further in vitro and in vivo validation is warranted to confirm its immunogenicity and protective efficacy in cattle.

Indexed as

Enzootic Bovine LeukosisEpitopesEpitopes, T-LymphocyteLeukemia Virus, BovineViral VaccinesAnimalsCattleEpitopes, B-LymphocyteImmunoinformaticsMolecular Docking SimulationProtein Subunit VaccinesVaccine DevelopmentEpitopesEpitopes, B-LymphocyteEpitopes, T-LymphocyteProtein Subunit VaccinesViral Vaccinesbovine leukaemia viruscodon optimizationimmunoinformaticsLactococcus lactismolecular dockingmulti‐epitope vaccine

Identifiers

PMID42417153
PMCPMC13343301

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.