Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/2158
Title: Analysis of Three Mutations in Italian Strains of Sars-Cov Implications for Pathogenesis
Authors: Benvenuto, Domenico
Benedetti, Francesca
Demir, Ayse Banu
Ciccozzi, Massimo
Zella, Davide
Keywords: Bioinformatic
Coronavirus disease 2019
Evolutionary analysis
Protein modeling
Syndrome coronavirus 2
Multiple Sequence Alignment
Deletion
Publisher: Karger
Abstract: Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an enveloped virus initially detected in Wuhan in December 2019, responsible for coronavirus disease 2019 (COVID-19), a respiratory syndrome currently affecting >220 countries around the world, with >80 million cases registered and >1.8 million deaths. Objective: As several vaccines are still being developed and 2 have been approved, it is particularly important to perform evolutionary surveillance to identify mutations potentially affecting vaccine efficacy. Methods: DynaMut server has been used to evaluate the impact of the mutation found on SARS-CoV-2 isolates available on GISAID. Results: In this article, we analyze whole genomes sequenced from Italian patients, and we report the characterization of 3 mutations, one of which presents in the spike protein. Conclusion: The mutations analyzed in this article can be useful to evaluate the evolution of SARS-CoV-2.
URI: https://doi.org/10.1159/000515342
https://hdl.handle.net/20.500.14365/2158
ISSN: 0009-3157
1421-9794
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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