Evidence map›Paper›PMID 24753415›Full record

ArticleNucleic acids research2014

A novel approach to represent and compare RNA secondary structures.

Eugenio Mattei, Gabriele Ausiello, Fabrizio Ferrè, Manuela Helmer-Citterich

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. miRVim: Three-dimensional miRNA Structure Database.MicroRNA (Shariqah, United Arab Emirates) · 2025
    Article
  3. Simulated Annealing for RNA Design with SIMARD.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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  6. Article
  7. Article
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  13. Article
  14. Motif Discovery from CLIP Experiments.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. The computational approaches of lncRNA identification based on coding potential:Computational and structural biotechnology journal · 2020
    Review
  19. Review
  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

4 authors.

Eugenio MatteiCentre for Molecular Bioinformatics, Department of Biology, University of Rome 'Tor Vergata', Via della Ricerca Scientifica snc, 00133 Rome, Italy.
Gabriele AusielloCentre for Molecular Bioinformatics, Department of Biology, University of Rome 'Tor Vergata', Via della Ricerca Scientifica snc, 00133 Rome, Italy.
Fabrizio FerrèCentre for Molecular Bioinformatics, Department of Biology, University of Rome 'Tor Vergata', Via della Ricerca Scientifica snc, 00133 Rome, Italy fabrizio.ferre@uniroma2.it.
Manuela Helmer-CitterichCentre for Molecular Bioinformatics, Department of Biology, University of Rome 'Tor Vergata', Via della Ricerca Scientifica snc, 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural information is crucial in ribonucleic acid (RNA) analysis and functional annotation; nevertheless, how to include such structural data is still a debated problem. Dot-bracket notation is the most common and simple representation for RNA secondary structures but its simplicity leads also to ambiguity requiring further processing steps to dissolve. Here we present BEAR (Brand nEw Alphabet for RNA), a new context-aware structural encoding represented by a string of characters. Each character in BEAR encodes for a specific secondary structure element (loop, stem, bulge and internal loop) with specific length. Furthermore, exploiting this informative and yet simple encoding in multiple alignments of related RNAs, we captured how much structural variation is tolerated in RNA families and convert it into transition rates among secondary structure elements. This allowed us to compute a substitution matrix for secondary structure elements called MBR (Matrix of BEAR-encoded RNA secondary structures), of which we tested the ability in aligning RNA secondary structures. We propose BEAR and the MBR as powerful resources for the RNA secondary structure analysis, comparison and classification, motif finding and phylogeny.

Indexed as

AlgorithmsComputational BiologyNucleic Acid ConformationRNASequence Analysis, RNARNA

Identifiers

PMID24753415
PMCPMC4041456

What OpenQuestion holds

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Registered trials

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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.