IN SILICO COMPARATIVE ANALYSIS OF SARS-COV-2 MUTATIONS IN BRAZIL

Authors

  • Gabriel Ferrari de Oliveira
  • Sarah de Oliveira Rodrigues
  • Kolawole Banwo
  • Isabela Bacelar de Assis
  • Celso Iwata Frison
  • Jorge Pamplona Pagnossa Pontifícia Universidade Católica - PUCMINAS

DOI:

https://doi.org/10.54038/ms.v3i3.46

Keywords:

Coronavirus, Bioinformatics, Pandemic, Spike protein, Nextclade

Abstract

SARS-CoV-2 is a novel coronavirus that emerged in late 2019 in China. It causes Covid-19, a disease that became pandemic weeks after the first case and is responsible for infecting and killing millions of people worldwide. Since the first outbreak, the scientific community has searched for therapeutics and prophylactics measures against Covid-19. This research aims to bring discussions that may contribute to the understanding of the virus and the development of treatments and preventions against the disease, besides validating a methodology that may help understanding and controlling other viral outbreaks. For this purpose, 5016 samples of SARS-CoV-2 collected in Brazil were analysed through computational resources. This work presents the results of the phylogenetic tree, genome information entropy and graphs and tables showing information about SARS-CoV-2 mutations in Brazil. Based on these results, the importance of the spike protein in the high transmissibility was highlighted.

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Published

2023-09-03

How to Cite

IN SILICO COMPARATIVE ANALYSIS OF SARS-COV-2 MUTATIONS IN BRAZIL. (2023). Multidisciplinary Sciences Reports, 3(3), 1-30. https://doi.org/10.54038/ms.v3i3.46