SynthesisBiomedical journal2021
Immunoinformatics prediction of potential B-cell and T-cell epitopes as effective vaccine candidates for eliciting immunogenic responses against Epstein-Barr virus.
Synthesis in Biomedical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 25 citations in OpenAlex.
- Immunoinformatic design of a multi-epitope vaccine candidate targeting multidrug-resistant Pseudomonas aeruginosa.BMC immunology · 2026Article
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- An integrated subtractive genomics and immunoinformatics approach for designing a universal multi-epitope vaccine againstFrontiers in bioinformatics · 2026Article
- Article
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- Towards precision epitopes based vaccine againstBiochemistry and biophysics reports · 2025Article
- Subtractive Proteomics and Reverse-Vaccinology Approaches for Novel Drug Target Identification and Chimeric Vaccine Development againstBioengineering (Basel, Switzerland) · 2024Article
- mRNA vaccine design for Epstein-Barr virus: an immunoinformatic approach.In silico pharmacology · 2024Article
- The pathogenesis of multiple sclerosis: a series of unfortunate events.Clinical and experimental immunology · 2023Article
- Peptide Vaccines as Therapeutic and Prophylactic Agents for Female-Specific Cancers: The Current Landscape.Pharmaceuticals (Basel, Switzerland) · 2023Review
- First identification of canine adenovirus 1 in mink and bioinformatics analysis of its 100 K protein.Frontiers in microbiology · 2023Article
- Mechanisms of T cell evasion by Epstein-Barr virus and implications for tumor survival.Frontiers in immunology · 2023Review
- A Quantum Vaccinomics Approach for the Design and Production of MSP4 Chimeric Antigen for the Control ofVaccines · 2022Article
- mRNA-Based Vaccine Designing against Epstein-Barr Virus to Induce an Immune Response Using Immunoinformatic and Molecular Modelling Approaches.International journal of environmental research and public health · 2022Article
- Mechanism of herpesvirus protein kinase UL13 in immune escape and viral replication.Frontiers in immunology · 2022Review
- Integrative immunoinformatics paradigm for predicting potential B-cell and T-cell epitopes as viable candidates for subunit vaccine design against COVID-19 virulence.Biomedical journal · 2021Article
- This is not a pipe - But how harmful is electronic cigarette smoke.Biomedical journal · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe ongoing search for viable treatment options to curtail Epstein Barr Virus (EBV) pathogenicity has necessitated a paradigmatic shift towards the design of peptide-based vaccines. Potential B-cell and T-cell epitopes were predicted for nine antigenic EBV proteins that mediate epithelial cell-attachment and spread, capsid self-assembly, DNA replication and processivity.
methodsPredictive algorithms incorporated in the Immune Epitope Database (IEDB) resources were used to determine potential B-cell epitopes based on their physicochemical attributes. These were combined with a string-kernel method and an antigenicity predictive AlgPred tool to enhance accuracy in the end-point selection of highly potential antigenic EBV B-cell epitopes. NetCTL 1.2 algorithms enabled the prediction of probable T-cell epitopes which were structurally modeled and subjected to blind peptide-protein docking with HLA-A*02:01. All-atom molecular dynamics (MD) simulation and Molecular Mechanics Generalized-Born Surface Area methods were used to investigate interaction dynamics and affinities of predicted T-cell peptide-protein complexes.
resultsComputational predictions and sequence overlapping analysis yielded 18 linear (continuous) and discontinuous (conformational) subunit epitopes from the antigenic proteins with characteristic surface accessibility, flexibility and antigenicity, and predictive scores above the threshold value (1) set. A novel site was identified on HLA-A*02:01 with preferential affinity binding for modeled BMRF2, BXLF1 and BGLF4 T-cell epitopes. Interaction dynamics and energies were also computed in addition to crucial residues that mediated complex formation and stability.
conclusionThis study implemented an integrative meta-analytical approach to model highly probable B-cell and T-cell epitopes as potential peptide-vaccine candidates for the treatment of EBV-related diseases.
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