A novel in silico minigene vaccine based on CD4+ T-helper and B-cell epitopes of EG95 isolates for vaccination against cystic echinococcosis. (February 2018)
- Record Type:
- Journal Article
- Title:
- A novel in silico minigene vaccine based on CD4+ T-helper and B-cell epitopes of EG95 isolates for vaccination against cystic echinococcosis. (February 2018)
- Main Title:
- A novel in silico minigene vaccine based on CD4+ T-helper and B-cell epitopes of EG95 isolates for vaccination against cystic echinococcosis
- Authors:
- Pourseif, Mohammad M.
Moghaddam, Gholamali
Naghili, Behrouz
Saeedi, Nazli
Parvizpour, Sepideh
Nematollahi, Ahmad
Omidi, Yadollah - Abstract:
- Graphical abstract: Highlights: An in silico multiepitope sheep-specific vaccine was designed based on ovar MHC class II alleles. Comprehensive computational methodologies was applied for the construction of minigene vaccine against E. granulosus . In silico epitope mapping tools were used for the identification of B-cell and helper T-cell epitopes. Various sequences of Eg95 from different geographical regions was used for greater coverage. Abstract: EG95 oncospheral antigen plays a crucial role in Echinococcus granulosus pathogenicity. Considering the diversity of antigen among different EG95 isolates, it seems to be an ideal antigen for designing a universal multivalent minigene vaccine, so-called multi-epitope vaccine. This is the first in silico study to design a construct for the development of global EG95-based hydatid vaccine against E. granulosus in intermediate hosts. After antigen sequence selection, the three-dimensional structure of EG95 was modeled and multilaterally validated. The preliminary parameters for B-cell epitope prediction were implemented such as the possible transmembrane helix, signal peptide, post-translational modifications and allergenicity. The high ranked linear and conformational B-cell epitopes derived from several online web-servers (e.g., ElliPro, BepiPred v 1.0, BcePred, ABCpred, SVMTrip, IEDB algorithms, SEPPA v 2.0 and Discotope v 2.0) were utilized for multiple sequence alignment and then for engineering the vaccine construct. T-helperGraphical abstract: Highlights: An in silico multiepitope sheep-specific vaccine was designed based on ovar MHC class II alleles. Comprehensive computational methodologies was applied for the construction of minigene vaccine against E. granulosus . In silico epitope mapping tools were used for the identification of B-cell and helper T-cell epitopes. Various sequences of Eg95 from different geographical regions was used for greater coverage. Abstract: EG95 oncospheral antigen plays a crucial role in Echinococcus granulosus pathogenicity. Considering the diversity of antigen among different EG95 isolates, it seems to be an ideal antigen for designing a universal multivalent minigene vaccine, so-called multi-epitope vaccine. This is the first in silico study to design a construct for the development of global EG95-based hydatid vaccine against E. granulosus in intermediate hosts. After antigen sequence selection, the three-dimensional structure of EG95 was modeled and multilaterally validated. The preliminary parameters for B-cell epitope prediction were implemented such as the possible transmembrane helix, signal peptide, post-translational modifications and allergenicity. The high ranked linear and conformational B-cell epitopes derived from several online web-servers (e.g., ElliPro, BepiPred v 1.0, BcePred, ABCpred, SVMTrip, IEDB algorithms, SEPPA v 2.0 and Discotope v 2.0) were utilized for multiple sequence alignment and then for engineering the vaccine construct. T-helper based epitopes were predicted by molecular docking between the high frequent ovar class II allele (Ovar-DRB1*1202) and hexadecamer fragments of the EG95 protein. Having used the immune-informatics tools, we formulated the first EG95-based minigene vaccine based on T-helper epitope with high-binding affinity to the ovar MHC allele. This designed construct was analyzed for different physicochemical properties. It was also codon-optimized for high-level expression in Escherichia coli k12. Taken all, we propose the present in silico vaccine constructs as a promising platform for the generation of broadly protective vaccines for species and genus-specific immunization of the natural hosts of the parasite. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 72(2018)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 72(2018)
- Issue Display:
- Volume 72, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 72
- Issue:
- 2018
- Issue Sort Value:
- 2018-0072-2018-0000
- Page Start:
- 150
- Page End:
- 163
- Publication Date:
- 2018-02
- Subjects:
- HC hydatid cyst -- PSC protoscolex -- CE cystic echinococcosis -- MPMV multi-potent minigene vaccine -- VCA vaccine candidate antigen -- EBV epitope-based vaccine -- BE B-cell epitope -- TE T-cell epitope -- MHC major histocompatibility -- Ag antigen -- Ab antibody -- aa amino acid -- OLA ovar leukocyte antigen -- NCBI National Center for Biotechnology Information -- 3D three-dimensional -- ML maximum Likelihood -- JTT Jones-Taylor-Thornton -- CDD conserved domains database -- TMH transmembrane helix -- SigP signal peptide -- IEDB immune epitope database -- CTE consequence T-helper epitope -- GRAVY grand average of hydropathicity -- CAI codon adaptation index -- ES excretory-secretory
EG95 -- T-helper epitope -- Ovar leukocyte antigen -- Docking -- B-cell epitope -- Minigene vaccine
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2017.11.008 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
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- Legaldeposit
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