Evidence map›Paper›PMID 22373926›Full record

ArticleNucleic acids research2012

Global or local? Predicting secondary structure and accessibility in mRNAs.

Sita J Lange, Daniel Maticzka, Mathias Möhl, Joshua N Gagnon, Chris M Brown, Rolf Backofen

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing 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

104 citing papers in PubMed.

  1. Article
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  11. Article
  12. Article
  13. RNA Secondary Structure Alteration Caused by Single Nucleotide Variants.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  14. Linear-Time Algorithms for RNA Structure Prediction.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  15. Article
  16. Article
  17. Genome-Wide RNA Secondary Structure Prediction.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  18. Evolutionary Conservation of RNA Secondary Structure.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  19. Article
  20. Article

44 more citing papers are in PubMed but not listed here.

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

6 authors.

Sita J LangeDepartment of Computer Science and Centre for Biological Signalling Studies (BIOSS), Albert-Ludwigs-Universität Freiburg, Germany.
Daniel Maticzka
Mathias Möhl
Joshua N Gagnon
Chris M Brown
Rolf Backofen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the structural properties of mRNA is key to understanding vital post-transcriptional processes. As experimental data on mRNA structure are scarce, accurate structure prediction is required to characterize RNA regulatory mechanisms. Although various structure prediction approaches are available, it is often unclear which to choose and how to set their parameters. Furthermore, no standard measure to compare predictions of local structure exists. We assessed the performance of different methods using two types of data: transcriptome-wide enzymatic probing information and a large, curated set of cis-regulatory elements. To compare the approaches, we introduced structure accuracy, a measure that is applicable to both global and local methods. Our results showed that local folding was more accurate than the classic global approach. We investigated how the locality parameters, maximum base pair span and window size, influenced the prediction performance. A span of 150 provided a reasonable balance between maximizing the number of accurately predicted base pairs, while minimizing effects of incorrect long-range predictions. We characterized the error at artificial sequence ends, which we reduced by setting the window size sufficiently greater than the maximum span. Our method, LocalFold, diminished all border effects and produced the most robust performance.

Indexed as

Regulatory Sequences, Ribonucleic AcidAlgorithmsBase PairingNucleic Acid ConformationRNA FoldingRNA, FungalRNA, MessengerSoftwareRegulatory Sequences, Ribonucleic AcidRNA, FungalRNA, Messenger

Identifiers

PMID22373926
PMCPMC3384308

What OpenQuestion holds

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LicenceCC BY-NC
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.