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.
Keywords: Bioinformatic; Coronavirus disease 2019; Evolutionary analysis; Protein modeling; Syndrome coronavirus 2.
【저자키워드】 Coronavirus disease 2019, Bioinformatic, Evolutionary analysis, Protein modeling, Syndrome coronavirus 2., 【초록키워드】 COVID-19, coronavirus disease, severe acute respiratory syndrome coronavirus 2, SARS-CoV-2, Coronavirus disease 2019, Efficacy, Vaccine, coronavirus, Mutation, mutations, vaccine efficacy, severe acute respiratory syndrome Coronavirus, virus, Spike protein, Surveillance, Wuhan, Evolution of SARS-CoV-2, enveloped virus, respiratory, disease, GISAID, Bioinformatic, deaths, characterization, acute respiratory syndrome, acute respiratory syndrome coronavirus, syndrome, Italian patients, Registered, whole genome, whole genomes, country, responsible, analyzed, identify, evaluate, sequenced, approved, the spike protein, affecting, SARS-CoV-2 isolate, used to evaluate, 【제목키워드】 strain, Italian,