Reverse vaccinology approach towards the in-silico multiepitope vaccine development against SARS-CoV-2
The novel severe acute respiratory syndrome related corona virus-2 (SARS-CoV-2) belongs to the “Coronaviridae” family and order “Nidovirales” cause coronavirus disease (COVID19). The SARS-CoV-2 has been spread in more than a hundred countries, and more than a million have lost their lives. Recently COVID-19 has been declared as pandemic worldwide. Vaccination and immunization could only be an effective strategy to combat this fatal COVID-19. For identification of the effective vaccine candidate against COVID-19, various immunoinformatics online tools and software were used to predict the epitopes. The cytotoxic T cell epitopes, Helper T cell epitopes, and B cell epitopes from three structural polyproteins ( Spike, Membrane, and Nucleocapsid (SMN) ) based on the binding affinity towards MHC , antigenicity, non-allergenicity, and non-toxicity were identified for vaccine development. The multiepitope based vaccine was constructed linking two additional adjuvants human betadefensin-3 and human beta-defensin-2 at N and C terminal, respectively. Constructed vaccine sequence was found to be a good antigen and non-allergen for the human body. The constructed vaccine was docked with the TLR-3 receptor. And the docked complex then further taken for Molecular dynamics simulations and RMSD was calculated, which showed stable binding of the complex. The codon adaptation index (CAI) of 0.92 and GC content of 55.5% for E.coli (k12) strain suggested the efficient expression of the predicted vaccine. The current study can be helpful in the reduction of time and cost for further experimental validations and could give a valuable contribution against this pandemic.
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Due to technical limitations the Tables are available as a download in the Supplementary Files.
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Posted 27 May, 2020
Reverse vaccinology approach towards the in-silico multiepitope vaccine development against SARS-CoV-2
Posted 27 May, 2020
The novel severe acute respiratory syndrome related corona virus-2 (SARS-CoV-2) belongs to the “Coronaviridae” family and order “Nidovirales” cause coronavirus disease (COVID19). The SARS-CoV-2 has been spread in more than a hundred countries, and more than a million have lost their lives. Recently COVID-19 has been declared as pandemic worldwide. Vaccination and immunization could only be an effective strategy to combat this fatal COVID-19. For identification of the effective vaccine candidate against COVID-19, various immunoinformatics online tools and software were used to predict the epitopes. The cytotoxic T cell epitopes, Helper T cell epitopes, and B cell epitopes from three structural polyproteins ( Spike, Membrane, and Nucleocapsid (SMN) ) based on the binding affinity towards MHC , antigenicity, non-allergenicity, and non-toxicity were identified for vaccine development. The multiepitope based vaccine was constructed linking two additional adjuvants human betadefensin-3 and human beta-defensin-2 at N and C terminal, respectively. Constructed vaccine sequence was found to be a good antigen and non-allergen for the human body. The constructed vaccine was docked with the TLR-3 receptor. And the docked complex then further taken for Molecular dynamics simulations and RMSD was calculated, which showed stable binding of the complex. The codon adaptation index (CAI) of 0.92 and GC content of 55.5% for E.coli (k12) strain suggested the efficient expression of the predicted vaccine. The current study can be helpful in the reduction of time and cost for further experimental validations and could give a valuable contribution against this pandemic.
Figure 1
Figure 2
Figure 3
Due to technical limitations the Tables are available as a download in the Supplementary Files.