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Computational and Experimental Approaches to Study the RNA Secondary Structures of RNA Viruses.
Yang, Siwy Ling; Ponti, Riccardo Delli; Wan, Yue; Huber, Roland G.
  • Yang SL; Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore.
  • Ponti RD; Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore 138671, Singapore.
  • Wan Y; Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore.
  • Huber RG; Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore 138671, Singapore.
Viruses ; 14(8)2022 08 16.
Article in English | MEDLINE | ID: covidwho-1988001
ABSTRACT
Most pandemics of recent decades can be traced to RNA viruses, including HIV, SARS, influenza, dengue, Zika, and SARS-CoV-2. These RNA viruses impose considerable social and economic burdens on our society, resulting in a high number of deaths and high treatment costs. As these RNA viruses utilize an RNA genome, which is important for different stages of the viral life cycle, including replication, translation, and packaging, studying how the genome folds is important to understand virus function. In this review, we summarize recent advances in computational and high-throughput RNA structure-mapping approaches and their use in understanding structures within RNA virus genomes. In particular, we focus on the genome structures of the dengue, Zika, and SARS-CoV-2 viruses due to recent significant outbreaks of these viruses around the world.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA Viruses / Dengue / Zika Virus / Zika Virus Infection / COVID-19 Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: V14081795

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Full text: Available Collection: International databases Database: MEDLINE Main subject: RNA Viruses / Dengue / Zika Virus / Zika Virus Infection / COVID-19 Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: V14081795