Evidence map›Paper›PMID 36016417›Full record

ReviewViruses2022

Computational and Experimental Approaches to Study the RNA Secondary Structures of RNA Viruses.

Siwy Ling Yang, Riccardo Delli Ponti, Yue Wan, Roland G Huber

Abstract readReview
In one paragraph

Review in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Siwy Ling YangGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore.ORCID 0000-0001-9560-9633
Riccardo Delli PontiBioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore 138671, Singapore.
Yue WanGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore.
Roland G HuberBioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore 138671, Singapore.ORCID 0000-0001-5093-5988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19DengueRNA VirusesZika VirusZika Virus InfectionGenome, ViralHumansRNARNA, ViralSARS-CoV-2RNARNA, Viralcomputational analysishigh throughput sequencingRNA structureRNA virusesstructure modeling

Identifiers

PMID36016417
PMCPMC9415818

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.