Evidence map›Paper›PMID 17786447›Full record

ReviewJournal of mathematical biology2008

Computational methods in noncoding RNA research.

Ariane Machado-Lima, Hernando A del Portillo, Alan Mitchell Durham

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of mathematical biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Modeling ncRNA Synergistic Regulation in Cancer.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  2. Article
  3. Article
  4. Predicting RNA Structure with Vfold.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  5. Review
  6. Article
  7. Review
  8. A Method to Predict the 3D Structure of an RNA Scaffold.Methods in molecular biology (Clifton, N.J.) · 2015
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Non-coding RNA in apicomplexan parasites.Molecular and biochemical parasitology · 2010
    Review
  18. Article
  19. Article
  20. Computational approaches to 3D modeling of RNA.Journal of physics. Condensed matter : an Institute of Physics journal · 2010
    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

3 authors.

Ariane Machado-LimaInstitute of Mathematics and Statistics, University of Sao Paulo, Sao Paulo, SP, Brazil. ariane@ime.usp.br
Hernando A del Portillo
Alan Mitchell Durham

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non protein-coding RNAs (ncRNAs) are a research hotspot in bioinformatics. Recent discoveries have revealed new ncRNA families performing a variety of roles, from gene expression regulation to catalytic activities. It is also believed that other families are still to be unveiled. Computational methods developed for protein coding genes often fail when searching for ncRNAs. Noncoding RNAs functionality is often heavily dependent on their secondary structure, which makes gene discovery very different from protein coding RNA genes. This motivated the development of specific methods for ncRNA research. This article reviews the main approaches used to identify ncRNAs and predict secondary structure.

Indexed as

Nucleic Acid ConformationAlgorithmsBase SequenceComputational BiologyRNA, UntranslatedThermodynamicsRNA, Untranslated

Identifiers

What OpenQuestion holds

Textmetadata
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.