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، جلد ۹، شماره ۴، صفحات ۲۲۹-۲۴۴
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
In Silico Design of a Multivalent Epitope Vaccine Against SARS-CoV-2 for Iranian Populations |
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| چکیده انگلیسی مقاله |
Background: Because of high genetic variation in human leukocyte antigen (HLA) alleles, epitope-based vaccines do not show equal efficacy in different human populations. Therefore, we proposed a multi-epitope vaccine against SARS-CoV-2 (severe acuterespiratory syndrome coronavirus 2) for Iranian populations. Materials and Methods: For this purpose, the proteins without allergenicity and high antigenicity, as well as conservancy levels from SARS-CoV-2, were chosen for computational epitope mapping. The T-cell epitope mapping process was performed based on the most frequent human leukocyte antigen (HLA) alleles in Iran. The B- and T-cell epitopes were determined based on their allergenicity, antigenicity, and hemolytic potential. Then, the epitopes with acceptable features were subjected to the final construct. The screened epitopes were structured in the final vaccine sequence. The secondary and tertiary structures of the proposed vaccine were predicted, and its affinity to HLA-I, HLA-II, toll-like receptor (TLR)-3, and TLR-4 were evaluated by the molecular docking method. Additionally, possible immune responses against the vaccine were predicted through immune simulation. Results: The final vaccine construct includes six linear B-cell epitopes, eight HLA-I restricted epitopes, and six HLA-II restricted epitopes. The evaluations confirmed that the proposed vaccine is a 60.3 kDa stable, water-soluble, and high antigenic protein with high affinity to the selected target molecules and could elicit both humoral and cellular responses. Conclusion: Altogether, the study results suggest that the planned vaccine can be an adequate anti-COVID-19 vaccine candidate for the Iranian population. |
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| کلیدواژه‌های انگلیسی مقاله |
SARS-CoV-2, Epitope, Vaccine, In silico |
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| نویسندگان مقاله |
| Faezeh Soltanveis
1Department of Biology, Payame Noor University, Tehran, Iran
| Mokhtar Nosrati
Independent researcher
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| نشانی اینترنتی |
http://rmm.mazums.ac.ir/browse.php?a_code=A-10-819-2&slc_lang=en&sid=1 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
بیوانفورماتیک |
| نوع مقاله منتشر شده |
پژوهشی |
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