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

Gabriel Ferrari de Oliveira; Sarah de Oliveira Rodrigues; Kolawole Banwo; Isabela Bacelar de Assis; Celso Iwata Frison; Jorge Pamplona Pagnossa

doi:10.54038/ms.v3i3.46

Autores

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

Palavras-chave:

Coronavírus, Bioinformática, Pandemia, Proteína espícula, Nextclade

Resumo

SARS-CoV-2 é um novo coronavírus que surgiu no fim de 2019 na China. Ele causa Covid-19, uma doença que se tornou pandemia semanas depois do primeiro caso e é responsável por infectar e matar milhões de pessoas ao redor do mundo. Desde o primeiro surto, a comunidade científica tem procurado medidas terapêuticas e profiláticas contra a Covid-19. O objetivo desta pesquisa é trazer discussões que possam contribuir para o entendimento do vírus e o desenvolvimento de tratamentos e prevenções contra a doença, além de validar uma metodologia que possa ajudar no entendimento e controle de outros surtos virais. Para este propósito, 5016 amostras de SARS-CoV-2 coletadas no Brasil foram analisadas através de recursos computacionais. Este trabalho apresenta os resultados da árvore filogenética, entropia da informação do genoma e gráficos e tabelas mostrando informações sobre as mutações do SARS-CoV-2 no Brasil. Com base nesses resultados, evidenciou-se a importância da proteína espícula para a alta transmissibilidade do vírus.

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