https://www.socictopen.socict.org/files/original/4f91a98e2a6331490c66bf0bcb532243.pdf bee70b3276e4480c23c93dc281302fb6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Design of an epitope-based peptide vaccine against spike protein of human coronavirus: an in silico approach Creator An entity primarily responsible for making the resource Oany AR, Emran AA, Jyoti TP Description An account of the resource Arafat Rahman Oany,1 Abdullah-Al Emran,1,2 Tahmina Pervin Jyoti3 1Department of Biotechnology and Genetic Engineering, Life Science Faculty, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh; 2Translational Research Institute, University of Queensland, Brisbane, Australia; 3Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh Abstract: Human coronavirus (HCoV), a member of Coronaviridae family, is the causative agent of upper respiratory tract infections and “atypical pneumonia”. Despite severe epidemic outbreaks on several occasions and lack of antiviral drug, not much progress has been made with regard to an epitope-based vaccine designed for HCoV. In this study, a computational approach was adopted to identify a multiepitope vaccine candidate against this virus that could be suitable to trigger a significant immune response. Sequences of the spike proteins were collected from a protein database and analyzed with an in silico tool, to identify the most immunogenic protein. Both T cell immunity and B cell immunity were checked for the peptides to ensure that they had the capacity to induce both humoral and cell-mediated immunity. The peptide sequence from 88–94 amino acids and the sequence KSSTGFVYF were found as the most potential B cell and T cell epitopes, respectively. Furthermore, conservancy analysis was also done using in silico tools and showed a conservancy of 64.29% for all epitopes. The peptide sequence could interact with as many as 16 human leukocyte antigens (HLAs) and showed high cumulative population coverage, ranging from 75.68% to 90.73%. The epitope was further tested for binding against the HLA molecules, using in silico docking techniques, to verify the binding cleft epitope interaction. The allergenicity of the epitopes was also evaluated. This computational study of design of an epitope-based peptide vaccine against HCoVs allows us to determine novel peptide antigen targets in spike proteins on intuitive grounds, albeit the preliminary results thereof require validation by in vitro and in vivo experiments. Keywords: vaccinomics, HLA, atypical pneumonia, allergenicity, docking Date A point or period of time associated with an event in the lifecycle of the resource 2014 Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived Drug Design, Development and Therapy Publisher An entity responsible for making the resource available Dove Medical Press Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Therapeutics. Pharmacology Language A language of the resource EN