مشخصات پژوهش

عنوان	Immunoinformatics Vaccine Targeting S1-NTD and HA2 Against SARS-CoV-2 and Influenza
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Bivalent vaccine, Fusion peptide, HA2 protein, Influenza A (H1N1), SARS-CoV2, Spike glycoprotein S1
چکیده	Background: Two of the most challenging viruses for vaccine development are SARS-CoV-2, causing the current COVID-19 pandemic, and influenza virus (H1N1), which spreads annually, causing seasonal epidemics or increasing the pandemic risk. Materials and Methods: In this study, we analyzed the immunodominant epitope regions in fusion peptides consisting of the Spike_S1_ N-terminal domain from SARS-CoV-2 in frame to hemagglutinin H2 (HA2) gene from influenza A virus (H1N1) and also human IFNɣ gene by two (G4S)3 linkers. A comprehensive analysis based on immunoinformatic has been conducted on prediction servers to predict T- and B-cell epitopes. In silico cloning and expression in pET-28(+) expression vector and vaccine optimization were assessed. The overall model quality was accessed, and the docking or binding affinity of the designed vaccine to the Toll-like receptor 3 was analyzed. Results: The efficiency of the constructed vaccine confirmed by appropriate expression of the designed vaccine candidate tested by in silico cloning in pET–28(+) vector and codon optimization might increase the production of vaccine candidate into Escherichia coli strain K-12. Conclusion: In conclusion, we suggest that this fusion peptide would be an attractive design strategy for developing a bivalent vaccine against COVID-19 and influenza as promising vaccine candidates without the need to reformulate or vaccinate each year
پژوهشگران	محمد ستاری کیکله (نفر سوم)، مرضیه رضایی (نفر اول)، سمیه سبزعلی (نفر دوم)، مریم پرهام فر (نفر چهارم)