Immunogenicity of SARS-CoV-2 Epitope Identified by BepiPred 2.0 Server

Abstract

The escalating incidence of infections necessitated the development of antiviral medications and vaccinations as COVID-19 cases persisted and constituted a threat to worldwide health. The promotion of healing and immunological defense against the virus depended heavily on B cell activation. Nevertheless, it was shown that the conventional approaches to developing vaccines, including using live or dead attenuated microbes, were costly, time-consuming, difficult, and inefficient. Immunoinformatics technologies were utilized to overcome the above-mentioned problem related to vaccine development of COVID-19. Therefore, this study set out 3 objectives: - 1) to use the BepiPred 2.0 Server to predict the SARS-CoV-2 epitope, 2) to investigate the use of the BepiPred 2.0 server as an appropriate prediction tool in immunogenetics research and 3) to identify the most conserved epitope using the Epitope Conservancy Analysis Tool.