Evidence map›Paper›PMID 22285566›Full record

ArticleBioinformatics (Oxford, England)2012

TurboKnot: rapid prediction of conserved RNA secondary structures including pseudoknots.

Matthew G Seetin, David H Mathews

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bridging the gap between in vitro and in vivo RNA folding.Quarterly reviews of biophysics · 2016
    Article
  8. URS DataBase: universe of RNA structures and their motifs.Database : the journal of biological databases and curation · 2016
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Computational analysis of noncoding RNAs.Wiley interdisciplinary reviews. RNA
    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

2 authors.

Matthew G SeetinDepartment of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, NY 14642, USA.
David H Mathews

Funding

A Stanford - SJSU Postdoctoral Training Program to Enhance URM TeachingK12GM088033 · NIGMS · STANFORD UNIVERSITY · PI BOOTHROYD, JOHN C · 2010 to 2016
$4.1M
Innovations in RNA Structure PredictionR01HG004002 · NHGRI · UNIVERSITY OF ROCHESTER · PI MATHEWS, DAVID H. · 2007 to 2011
$1.7M
NHGRI NIH HHS R01 HG004002NHGRI NIH HHS R01HG004002NIGMS NIH HHS K12 GM088033
6 · The paper itself

Abstract

motivationMany RNA molecules function without being translated into proteins, and function depends on structure. Pseudoknots are motifs in RNA secondary structures that are difficult to predict but are also often functionally important.

resultsTurboKnot is a new algorithm for predicting the secondary structure, including pseudoknotted pairs, conserved across multiple sequences. TurboKnot finds 81.6% of all known base pairs in the systems tested, and 75.6% of predicted pairs were found in the known structures. Pseudoknots are found with half or better of the false-positive rate of previous methods.

Indexed as

AlgorithmsNucleic Acid ConformationMycobacterium tuberculosisRibonuclease PRNA, BacterialRNA, UntranslatedSequence Analysis, RNARibonuclease PRNA, BacterialRNA, Untranslated

Identifiers

PMID22285566
PMCPMC3307117

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.