(2018) In Silico Analyses of Staphylococcal Enterotoxin B as a DNA Vaccine for Cancer Therapy. International Journal of Peptide Research and Therapeutics. pp. 131-142. ISSN 1573-3149
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Abstract
Immunotherapy has been suggested as a compelling alternative approach for conventional breast cancer treatment methods. Despite the paramount rolesof T cells in this approach, insufficient numbers of them in the combat against progressive tumor growth still remain to be dealt with. Super antigens are a class of antigens, capable of eliciting T cell proliferation response against desired antigens. Staphylococcal enterotoxin B (SEB) is categorized as a super antigen, its anti-tumor properties has been previously reported. However, to the best our knowledge, SEB has not been ever administered as a DNA construct. In the present study, we exploited bioinformatics tools to assess the immunoreactivity of a SEB-coding DNA construct that serves as a DNA vaccine for breast cancer therapy. Potential B and T (MHC class I and II binders) cell epitopes of the hypothetically expressed protein, along with its sub cellular localization were predicted. Moreover, probable glycosylation and phosphorylation sites within the protein sequence were determined. The gene sequence was optimized according to murine model codon bias and its mRNA stability was analyzed. Employing an integrative in silico approach, we revealed that apparently the construct could be efficiently expressed in mouse model. Moreover, the hypothetically expressed protein could act as an amenable adjuvant in cancer immunotherapy.
Item Type: | Article |
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Keywords: | Immunoinformatic Breast cancer Adjuvant Epitope prediction Immunotherapy DNA vaccine class-ii molecules tumor immunosurveillance crystal-structure immune-response fusion protein superantigen prediction antibody immunotherapy design Biochemistry & Molecular Biology |
Divisions: | |
Page Range: | pp. 131-142 |
Journal or Publication Title: | International Journal of Peptide Research and Therapeutics |
Journal Index: | ISI |
Volume: | 24 |
Number: | 1 |
Identification Number: | https://doi.org/10.1007/s10989-017-9595-3 |
ISSN: | 1573-3149 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/3864 |
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