Comparative Computational Analysis of SARSCoV-2 Nucleocapsid Epitope with Taxonomically Related Corona Viruses

Several research lines are currently ongoing to address the multitude of facets of the pandemic COVID-19. In line with the One-Health concept, extending the target of the studies to the animals which humans are continuously interacting with may favor a better understanding of the SARS-CoV-2 Biology and pathogenetic mechanisms; thus, helping to adopt the most suitable containment measures. The last two decades have already faced severe manifestations of the coronavirus infection in both humans and animals, thus, circulating epitopes from previous outbreaks might confer partial protection from SARS-CoV-2 infections. In the present study, we provide computational analysis of the major nucleocapsid protein epitopes and compare them with the homologues of taxonomically-related coronaviruses with tropism for animal species that are closely inter-related with the human being population all over the world. Protein sequence alignment provides evidence of high sequence homology for some of the investigated proteins. Moreover, the way the receptor binding domains of the nucleocapsid epitopes interact with their specific proteins is different from the closely related viruses. These evidences provide a molecular structural rationale for a potential role in conferring protection from SARS-CoV-2 infection and identifying potential candidates for the development of diagnostic tools and prophylactic- oriented strategies.