Design of Multi-epitope based Vaccine on N-Ag of ۲۰۱۹ novel coronavirus (SARS-CoV-۲) by Immunoinformatics Methods
- سال انتشار: 1399
- محل انتشار: بیست و یکمین کنگره بین المللی میکروب شناسی ایران
- کد COI اختصاصی: MEDISM21_071
- زبان مقاله: انگلیسی
- تعداد مشاهده: 297
نویسندگان
Department of Microbiology, Faculty of Biological Sciences, Azad University Tehran North Branch, Tehran, Iran
Department of Microbiology, Faculty of Biological Sciences, Azad University Tehran North Branch, Tehran, Iran
Faculty of Medicine, Islamic Azad University, Qom Branch, Qom. Iran
Department of Microbiology, Faculty of Biological Sciences, Azad University Tehran North Branch, Tehran, Iran
Department of Parasitology, Faculty of Veterinary Sciences, Azad University science and research Branch, Tehran, Iran
چکیده
Background and Aim : Coronaviridae is a family of enveloped, positive-sense, single-stranded RNA viruses which can infect animals and humans and has caused a large number of deaths with thousands of confirmed cases worldwide. People of all ages can be infected by the ۲۰۱۹ novel coronavirus. Older people, and people with pre-existing medical conditions appear to be more vulnerable to becoming severely ill with the virus. As regards, there is no drug for treatment, it seems to be the most effective way to prevent and treat vaccinations. The aim of this study was design of epitope-based vaccine against SARS-CoV-۲ in based on In silico analysis to determine the most conserved B and T-cell epitopes of N protein that could be able to stimulate a remarkable immune response.Methods : Sequence of N protein was collected from protein databases (NCBI & Uniprot) and analyzed by In silico tools (IEDB – ABCpred) for recognizing the most conserved immunogenic epitopes to trigger the T and B cell immune response. These suitable epitopes were evaluated in terms of toxicity and allergenicity and immunogenicity with used of Toxinpred and AllerTop and Vaxigen servers, respectively. Finally, the chimeric protein as a novel epitope-based vaccine was designed and assayed in terms of ۲D and ۳D structures by Prabi garland & Swiss-model servers, respectively.Results : In base of Immunoinformatics study was predicted the most immunogenic epitopes (FTALTQHGK) and (VPINTNSSPDDQIGY) to stimulate TCD۸ and TCD۴ respectively, by IEDB server, also was predicted a suitable epitope (INTNSSPDDQIGYY) by ABCpred server, to motivate B cells. These peptides were bound to the largest number of alleles. Also they weren't toxigenic and allergenic epitopes that were investigated by Toxinpred and AllerTop servers. Designed chimeric protein was suitable in terms of physicochemical properties and stability.Conclusion : Immunoinformatics study showed that, predicted epitopes were with high efficiency and stability that can be used as a therapeutic peptide vaccine to be selected for prevention of SARS-CoV-۲ infection.کلیدواژه ها
SARS-CoV-۲ - Immunoinformatics - Vaccineاطلاعات بیشتر در مورد COI
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