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Oladipo EK, Ajayi AF, Ariyo OE, Onile SO, Jimah EM, Ezediuno LO, Adebayo OI, Adebayo ET, Odeyemi AN, Oyeleke MO, Oyewole MP, Oguntomi AS, Akindiya OE, Olamoyegun BO, Aremu VO, Arowosaye AO, Aboderin DO, Bello HB, Senbadejo TY, Awoyelu EH, Oladipo AA, Oladipo BB, Ajayi LO, Majolagbe ON, Oyawoye OM, Oloke JK. Exploration of surface glycoprotein to design multi-epitope vaccine for the prevention of Covid-19. Inform Med Unlocked 2020; 21:100438. [PMID: 33043110 PMCID: PMC7533051 DOI: 10.1016/j.imu.2020.100438] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/11/2020] [Accepted: 09/27/2020] [Indexed: 01/07/2023] Open
Abstract
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.
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Affiliation(s)
- Elijah Kolawole Oladipo
- Department of Microbiology, Laboratory of Molecular Biology, Immunology and Bioinformatics, Adeleke University, Ede, Osun State, Nigeria
- Genomics Unit, Helix Biogen Consult, Ogbomoso, Oyo state, Nigeria
| | - Ayodeji Folorunsho Ajayi
- Reproduction and Bioinformatics Unit, Department of Medical Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | - Olumuyiwa Elijah Ariyo
- Department of Medicine, Infectious Diseases and Tropical Medicine Unit, Federal Teaching Hospital, Ido-Ekiti, Ekiti State, Nigeria
| | | | - Esther Moradeyo Jimah
- Department of Medical Microbiology and Parasitology, University of Ilorin, Kwara State, Nigeria
- Genomics Unit, Helix Biogen Consult, Ogbomoso, Oyo state, Nigeria
| | - Louis Odinakaose Ezediuno
- Department of Microbiology and Parasitology, University of Ilorin, Kwara State, Nigeria
- Genomics Unit, Helix Biogen Consult, Ogbomoso, Oyo state, Nigeria
| | - Oluwadunsin Iyanuoluwa Adebayo
- Reproduction and Bioinformatics Unit, Department of Medical Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
- Genomics Unit, Helix Biogen Consult, Ogbomoso, Oyo state, Nigeria
| | - Emmanuel Tayo Adebayo
- Reproduction and Bioinformatics Unit, Department of Medical Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
- Genomics Unit, Helix Biogen Consult, Ogbomoso, Oyo state, Nigeria
| | - Aduragbemi Noah Odeyemi
- Reproduction and Bioinformatics Unit, Department of Medical Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
- Genomics Unit, Helix Biogen Consult, Ogbomoso, Oyo state, Nigeria
| | - Marvellous Oluwaseun Oyeleke
- Reproduction and Bioinformatics Unit, Department of Medical Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | | | | | - Olawumi Elizabeth Akindiya
- Microbiology Programme, Department of Biological Science, Olusegun Agagu University of Science and Technology, Okitipupa, Ondo State, Nigeria
| | | | - Victoria Oyetayo Aremu
- Reproduction and Bioinformatics Unit, Department of Medical Physiology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
- Genomics Unit, Helix Biogen Consult, Ogbomoso, Oyo state, Nigeria
| | - Abiola O Arowosaye
- Department of Virology, University of Ibadan, Ibadan, Oyo State, Nigeria
| | | | | | | | - Elukunbi Hilda Awoyelu
- Department of Natural Sciences, Precious Conerstone University, Ibadan, Oyo State, Nigeria
| | - Adio Abayomi Oladipo
- Department of Haematology and Blood Grouping Serology, Obafemi Awolowo Teaching Hospital Complex, Ile-Ife Wesley Guild Hospital Wing, Osun State, Nigeria
| | - Bukola Bisola Oladipo
- Department of Clinical Nursing, Bowen University Teaching Hospital, Ogbomoso, Oyo State, Nigeria
| | | | - Olusola Nathaniel Majolagbe
- Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
| | - Olubukola Monisola Oyawoye
- Department of Microbiology, Laboratory of Molecular Biology, Immunology and Bioinformatics, Adeleke University, Ede, Osun State, Nigeria
| | - Julius Kola Oloke
- Department of Natural Sciences, Precious Conerstone University, Ibadan, Oyo State, Nigeria
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