Evidence map›Paper›PMID 31711930›Full record

ArticleMethods (San Diego, Calif.)2020

Mapping the RNA structural landscape of viral genomes.

Ryan J Andrews, Levi Baber, Walter N Moss

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Identification of a conserved RNA structure in thebioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
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  7. Article
  8. Article
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  13. Article
  14. Article
  15. Article
  16. Analysis of key genes inFrontiers in tropical diseases · 2022
    Article
  17. Review
  18. Article
  19. A map of the SARS-CoV-2 RNA structurome.NAR genomics and bioinformatics · 2021
    Article
  20. Article
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

3 authors.

Ryan J AndrewsRoy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, 2437 Pammel Drive, Ames, IA 50011, USA. Electronic address: randrews@iastate.edu.
Levi BaberBiology Information Technology, Iowa State University, 2310 Pammel Drive, Ames, IA 50011, USA. Electronic address: baber@iastate.edu.
Walter N MossRoy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, 2437 Pammel Drive, Ames, IA 50011, USA. Electronic address: wmoss@iastate.edu.

Funding

Finding, folding and characterizing the functions of disease-relevant RNA structuresR01GM133810 · NIGMS · IOWA STATE UNIVERSITY · PI Walter Moss · 2019 to 2026
$2.8M
Understanding Epstein Barr virus oncogenicity through non-coding RNA structureR00GM112877 · NIGMS · IOWA STATE UNIVERSITY · PI MOSS, WALTER · 2017 to 2019
$747k
NIGMS NIH HHS R00 GM112877NIGMS NIH HHS R01 GM133810
6 · The paper itself

Abstract

Functional RNA structures are prevalent in viral genomes, and have been shown to play roles in almost every aspect of their biology. However, the majority of viral RNA remains structurally uncharacterized. This is likely to remain true as the cost of sequencing decreases much faster than the cost of structural characterizations. Because of this, there is a need for rapid, inexpensive methods to highlight regions of viral RNA which are ideal candidates for structure-function analyses. The ScanFold method was developed as a single sequence alternative to traditional RNA structural motif discovery pipelines, which rely heavily on well curated sequence alignments to identify conserved RNA structures. ScanFold focuses on identifying (based on their more stable than expected folding energies) the most likely functional structures encoded within a single large RNA sequence, while allowing predicted motifs to be tested for evidence of structural conservation later. Decoupling these processes can be a benefit to researchers studying viruses lacking the ideal phylogenetic depth to yield evidence of structural conservation. Here, we demonstrate how the most significant ScanFold predicted structures correspond to higher base pairing probabilities, SHAPE reactivities, and predict known functional structures within the ZIKV and HIV-1 genomes with accuracy. Best practices and examples are also shown to aid users in utilizing ScanFold for their own systems of interest. ScanFold is available as a Webserver (https://mosslabtools.bb.iastate.edu/scanfold) or can be downloaded (https://github.com/moss-lab/ScanFold) and run locally.

Indexed as

Computational BiologyDengue VirusGenome, ViralHepacivirusHIV-1Nucleic Acid ConformationPhylogenyRNA, ViralSequence AlignmentSequence Analysis, RNAZika VirusRNA, ViralBioinformaticsHIVMotif discoveryRNAViral genomeZika

Identifiers

PMID31711930
PMCPMC7205576

What OpenQuestion holds

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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.