Immunoinformatic analysis of the SARS-CoV-2 envelope protein as a strategy to assess cross-protection against COVID-19 |
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Affiliation: | 1. Department of Health Science, University “Magna Græcia” of Catanzaro, Viale Europa, 88100, Catanzaro, Italy;2. Department of Biomedical, Surgical and Dental Sciences– One Health Unit, University of Milano, Via Celoria n10, 20133, Milano, Italy;3. Department of Veterinary Medicine, University of Milano, Via dell’Università 6, 26900, Lodi, Italy;4. Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168, Roma, Italy;5. Dipartimento di Scienze di laboratorio e infettivologiche, Fondazione Policlinico Universitario Agostino Gemelli, Largo A. Gemelli 8, 00168, Roma, Italy;6. Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, Largo A. Gemelli 8, 00168, Roma, Italy |
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Abstract: | Envelope protein of coronaviruses is a structural protein existing in both monomeric and homo-pentameric form. It has been related to a multitude of roles including virus infection, replication, dissemination and immune response stimulation. In the present study, we employed an immunoinformatic approach to investigate the major immunogenic domains of the SARS-CoV-2 envelope protein and map them among the homologue proteins of coronaviruses with tropism for animal species that are closely inter-related with the human beings population all over the world. Also, when not available, we predicted the envelope protein structural folding and mapped SARS-CoV-2 epitopes. Envelope sequences alignment provides evidence of high sequence homology for some of the investigated virus specimens; while the structural mapping of epitopes resulted in the interesting maintenance of the structural folding and epitope sequence localization also in the envelope proteins scoring a lower alignment score. In line with the One-Health approach, our evidences provide a molecular structural rationale for a potential role of taxonomically related coronaviruses in conferring protection from SARS-CoV-2 infection and identifying potential candidates for the development of diagnostic tools and prophylactic-oriented strategies. |
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Keywords: | SARS-CoV-2 COVID-19 Coronavirus Immunoinformatics Diagnosis One-health |
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