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?:abstract
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Due to the current Coronavirus (COVID-19) pandemic, the rapid discovery of a safe and effective vaccine is an essential issue Consequently, this study aims to predict a potential COVID-19 peptide-based vaccine utilizing the Nucleocapsid phosphoprotein (N) and Spike Glycoprotein (S) via the Immunoinformatics approach To achieve this goal, several Immune Epitope Database (IEDB) tools, molecular docking, and safety prediction servers were used According to the results, The Spike peptide SQCVNLTTRTQLPPAYTNSFTRGVY is predicted to have the highest binding affinity to the B-Cells The Spike peptide FTISVTTEI has the highest binding affinity to the Major Histocompatibility Complex class 1 (MHC I) Human Leukocyte Allele HLA-B*1503 (according to the MDockPeP and HPEPDOCK servers, docking scores were -153 9 and -229 356, respectively) The Nucleocapsid peptides KTFPPTEPK and RWYFYYLGTGPEAGL have the highest binding affinity to the MHC I HLA-A0202 allele and the three the Major Histocompatibility Complex class 2 (MHC II) Human Leukocyte Allele HLA-DPA1*01:03/DPB1*02:01, HLA-DQA1*01:02/DQB1-*06:02, HLA-DRB1, respectively Docking scores of peptide KTFPPTEPK were -153 9 and -220 876 In contrast, docking scores of peptide RWYFYYLGTGPEAGL were ranged from 218-318 Furthermore, those peptides were predicted as non-toxic and non-allergen Therefore, the combination of those peptides is predicted to stimulate better immunological responses with respectable safety
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