(2017) Development of an. epitope-based vaccine inhibiting immune cells rolling and migration against atherosclerosis using in silico approaches. Computational Biology and Chemistry. pp. 156-163. ISSN 1476-9271
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Abstract
Atherosclerosis is a chronic inflammatory disease characterized by formation of pro-oxidative lipids in large and medium-sized vessels. Over the years, many treatments and drugs have entered the market to improve atherosclerosis and autoantigen-mediated active immunization is currently considered as a beneficial method. Therefore, this study was conducted to design a novel epitope-based vaccine against atherosclerosis employing CD99, CD81 and CD99L2 antigens. In this way, structural vaccinology approaches were used to design a novel multi-epitope vaccine against atherosclerosis. Six epitopes were predicted from CD99, CD81 and CD99L2 proteins. In addition, helper epitopes selected from Tetanus toxin fragment C (TTFrC)ion were applied to induce CD4+ helper T lymphocytes (HTLs) responses. Moreover, cholera toxin B (CTB) was employed as an adjuvant. Finally, EAAAK AND GPGPG sequences as linkers were considered to make a linkage between favorite peptide sequences. A multi-epitope construction was designed based on the predicted epitopes which was 270 residues in length. Further immunoinformatic analyses were carried out to assess physicochemical properties, secondary and tertiary structures, stability, intrinsic protein disorder, solubility, and allergenicity of this chimeric protein. Based on the obtained results, a soluble, and non-allergic protein with a molecular weight of 28.7 kDa was designed. Further analyses revealed that the chimeric protein is a stable protein and the predicted epitopes indicated strong potential to induce B-cell and T-cell mediated immune response. Our immunoinformatic analyses revealed that the modeled multi-epitope vaccine had appropriate properties,which can properly stimulate the immune responses of both T and B cells. (C) 2017 Elsevier Ltd. All rights reserved.
Item Type: | Article |
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Keywords: | Peptide vaccine design Atherosclerosis Immunoinformatic analysis combined immunoinformatics protein-structure peptide vaccine prediction inflammation escherichia mechanisms expression cancer server Life Sciences & Biomedicine - Other Topics Computer Science |
Divisions: | |
Page Range: | pp. 156-163 |
Journal or Publication Title: | Computational Biology and Chemistry |
Journal Index: | ISI |
Volume: | 70 |
Identification Number: | https://doi.org/10.1016/j.compbiolchem.2017.08.016 |
ISSN: | 1476-9271 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/4211 |
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