Identification of Cytotoxic T-Cell and B-Cell Epitopes in the Nucleocapsid Phosphoprotein of SARS-COV-2 Using Immunoinformatics

Last December, a novel coronavirus emerged in Wuhan city, China. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes high intense with elevation mortality. Nucleocapsid phosphoprotein (NP) is one of the most structural proteins virus. NP possesses active immunogenicity for T-cell response. Because considered as potential vaccine target, our study goal was to identify cytotoxic (CTL) and B-cell epitopes inside peptides. Methods. We used series popular immunoinformatics algorithm tools such FASTA-NCBI, CLUSTAL-OMGA, T-COFFEE, SWISS-MODEL, CTLPred its branches. Results. Homology modeling alignment SARS-CoV-2 showed conserved residues compared related sequences. Different types major histocompatibility complex (MHC) alleles were identified, specifically human leukocyte antigens (HLA-A) affinity NP. also demonstrate six score above threshold. Conclusions. recorded binder HLA-A*02:01 matched between Bat SARS-Bat-CoV Identification CTL response predictions will be helpful reverse immunogenetic approaches, hence strategy process plausible design vaccine.