Exploration of surface glycoprotein to design multi-epitope vaccine for the prevention of Covid-19
| Autor: | Olawumi Elizabeth Akindiya, Oluwadunsin Iyanuoluwa Adebayo, Ayodeji Folorunsho Ajayi, A.A. Oladipo, Victoria Oyetayo Aremu, Esther Moradeyo Jimah, Marvellous Oluwaseun Oyeleke, Habibat Bolanle Bello, Tosin Yetunde Senbadejo, Dorcas Olubunmi Aboderin, E.K. Oladipo, Samson Olugbenga Onile, E.H. Awoyelu, Moyosoluwa Precious Oyewole, Ayomide Samuel Oguntomi, Abiola O. Arowosaye, Aduragbemi Noah Odeyemi, Olumuyiwa Elijah Ariyo, Bukola Bisola Oladipo, Louis Odinakaose Ezediuno, Emmanuel Tayo Adebayo, Olubukola Monisola Oyawoye, Olusola Nathaniel Majolagbe, Bunmi Olayemi Olamoyegun, Julius Kola Oloke, Lydia Oluwatoyin Ajayi |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Antigenicity Population Health Informatics Biology lcsh:Computer applications to medicine. Medical informatics Subunit vaccine Epitope Virus Article 03 medical and health sciences 0302 clinical medicine Immune system Antigen Immunity medicine Interferon gamma TLRs education education.field_of_study SARS-CoV-2 COVID-19 Virology 030104 developmental biology 030220 oncology & carcinogenesis lcsh:R858-859.7 medicine.drug |
| Zdroj: | Informatics in Medicine Unlocked Informatics in Medicine Unlocked, Vol 21, Iss, Pp 100438-(2020) |
| ISSN: | 2352-9148 |
| DOI: | 10.1016/j.imu.2020.100438 |
| Popis: | Stimulation and generation of T and B cell-mediated long-term immune response are essential for the curbing of a deadly virus such as SAR-CoV-2 (Severe Acute Respiratory Corona Virus 2). Immunoinformatics approach in vaccine design takes advantage of antigenic and non-allergenic epitopes present on the spike glycoprotein of SARS-CoV-2 to elicit immune responses. T cells and B cells epitopes were predicted, and the selected residues were subjected to allergenicity, antigenicity and toxicity screening which were linked by appropriate linkers to form a multi-epitope subunit vaccine. The physiochemical properties of the vaccine construct were analyzed, and the molecular weight, molecular formula, theoretical isoelectric point value, half-life, solubility score, instability index, aliphatic index and GRAVY were predicted. The vaccine structure was constructed, refined, validated, and disulfide engineered to get the best model. Molecular binding simulation and molecular dynamics simulation were carried out to predict the stability and binding affinity of the vaccine construct with TLRs. Codon acclimatization and in silico cloning were performed to confirm the vaccine expression and potency. Results obtained indicated that this novel vaccine candidate is non-toxic, capable of initiating the immunogenic response and will not induce an allergic reaction. The highest binding energy was observed in TLR4 (Toll-like Receptor 4) (−1398.1), and the least is TLR 2 (−1479.6). The steady rise in Th (T-helper) cell population with memory development was noticed, and IFN-g (Interferon gamma) was provoked after simulation. At this point, the vaccine candidate awaits animal trial to validate its efficacy and safety for use in the prevention of the novel COVID-19 (Coronavirus Disease 2019) infections. |
| Databáze: | OpenAIRE |
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