Due to the high rate of transmissibility, Brazil became the new COVID-19 outbreak epicenter and, since then, is being monitored to understand how SARS-CoV-2 mutates and spreads. We combined genomic and structural analysis to evaluate genomes isolated from different regions of Brazil and show that the most prevalent mutations were located in the S, N, ORF3a and ORF6 genes, which are involved in different stages of viral life cycle and its interaction with the host cells. Structural analysis brought to light the positions of these mutations on protein structures, contributing towards studies of selective structure-based drug discovery and vaccine development.
All Keywords
【저자키워드】 Genome informatics, Genetic association study, 【초록키워드】 Brazil, SARS-CoV-2, Vaccine development, Mutation, Drug discovery, Genome, Protein, Region, Viral, Transmissibility, COVID-19 outbreak, ORF3a, ORF6, genomes, protein structures, genomic, Interaction, Analysis, structures, Structural analysis, host cells, life cycle, Stage, viral life cycle, selective, Genes, prevalent, evaluate, involved, mutate, spreads, 【제목키워드】 SARS-CoV-2 mutation, clinical condition,
【저자키워드】 Genome informatics, Genetic association study, 【초록키워드】 Brazil, SARS-CoV-2, Vaccine development, Mutation, Drug discovery, Genome, Protein, Region, Viral, Transmissibility, COVID-19 outbreak, ORF3a, ORF6, genomes, protein structures, genomic, Interaction, Analysis, structures, Structural analysis, host cells, life cycle, Stage, viral life cycle, selective, Genes, prevalent, evaluate, involved, mutate, spreads, 【제목키워드】 SARS-CoV-2 mutation, clinical condition,
높은 전염률로 인해 브라질은 새로운 COVID-19 발병 진원지가 되었으며 그 이후로 SARS-CoV-2가 어떻게 변이 및 확산되는지 이해하기 위해 모니터링되고 있습니다. 우리는 브라질의 여러 지역에서 분리된 게놈을 평가하기 위해 게놈 및 구조 분석을 결합했으며, 바이러스 수명 주기의 여러 단계와 그 상호 작용에 관여하는 S, N, ORF3a 및 ORF6 유전자에 가장 흔한 돌연변이가 있음을 보여주었습니다. 숙주 세포. 구조적 분석은 단백질 구조에 대한 이러한 돌연변이의 위치를 밝히고 선택적 구조 기반 약물 발견 및 백신 개발 연구에 기여했습니다.