ArticleIn silico pharmacology2016
In silico proposition to predict cluster of B- and T-cell epitopes for the usefulness of vaccine design from invasive, virulent and membrane associated proteins of C. jejuni.
Article in In silico pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 33 citations in OpenAlex.
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- Immuno-informatics approach for B-cell and T-cell epitope based peptide vaccine design against novel COVID-19 virus.Vaccine · 2021Article
- Designing a conserved peptide-based subunit vaccine against SARS-CoV-2 using immunoinformatics approach.In silico pharmacology · 2021Article
- In silico analysis of epitope-based CadF vaccine design against Campylobacter jejuni.BMC research notes · 2020Article
- Designing a less immunogenic nattokinase from Bacillus subtilis subsp. natto: a computational mutagenesis.Journal of molecular modeling · 2019Article
- Evaluations of Alkyl hydroperoxide reductase B cell antigen epitope as a potential epitope vaccine againstSaudi journal of biological sciences · 2019Article
- Identification of relevant regions on structural and nonstructural proteins ofNew microbes and new infections · 2019Article
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- In Silico Design and Immunologic Evaluation of HIV-1 p24-Nef Fusion Protein to Approach a Therapeutic Vaccine Candidate.Current HIV research · 2018Article
- A Web Resource for Designing Subunit Vaccine Against Major Pathogenic Species of Bacteria.Frontiers in immunology · 2018Article
- Analysis of predicted B and T-cell epitopes in Der p 23, allergen from Dermatophagoides pteronyssinus.Bioinformation · 2017Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeCampylobacter jejuni is the one of the leading causes of bacterial diarrheal illness worldwide. This study aims to design specific epitopes for the utility of designing peptide vaccine(s) against C. jejuni by targeting invasive, virulent and membrane associated proteins like FlaA, Cia, CadF, PEB1, PEB3 and MOMP.
methodsIn the present study, various immunoinformatics approaches have been applied to design a potential epitope based vaccine against C. jejuni. The tools include Bepipred, ABCpred, Immune Epitope databse (IEDB) resource portal, Autodock vina etc.
resultsPeptides "EINKN", "TGSRLN", "KSNPDI", "LDENGCE" respectively from FlaA, MOMP, PEB3, CadF proteins were found to be the most potential B cell epitopes while peptides "FRINTNVAA", "NYFEGNLDM", "YKYSPKLNF", "YQDAIGLLV", "FRNNIVAFV" and "LIMPVFHEL" respectively from Fla, CadF, MOMP, PEB1A, PEB3 and Cia might elicit cell mediated immunity and "IFYTTGSRL" from MOMP protein might elicit both humoral and cell-mediated immunity. All these potential peptidic epitopes showed almost 80-100 % conservancy in different strains of C jejuni with varying proportions of population coverage ranging from 22-60 %. Further authentication of these peptide epitopes as probable vaccine candidate was mediated by their binding to specific HLA alleles using in silico docking technique.
conclusionBased on the present study, it could be concluded that these predicted epitopes might be used to design a vaccine against C. jejuni bacteria and thus, could be validated in model hosts to verify their efficacy as vaccine.
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