Evidence map›Paper›PMID 22724009›Full record

ArticlePloS one2012

Structural constraints identified with covariation analysis in ribosomal RNA.

Lei Shang, Weijia Xu, Stuart Ozer, Robin R Gutell

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. The how and why of lncRNA function: An innate immune perspective.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020
    Review
  4. Review
  5. Translation: The Universal Structural Core of Life.Molecular biology and evolution · 2018
    Article
  6. COMPASS: the COMPletely Arbitrary Sequence Simulator.Bioinformatics (Oxford, England) · 2017
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. In-cell SHAPE reveals that free 30S ribosome subunits are in the inactive state.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  15. Article
  16. 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.

Lei ShangInstitute for Cellular and Molecular Biology, Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas, USA.
Weijia Xu
Stuart Ozer
Robin R Gutell

Funding

The CRW Project: A Comparative Database of RNA MoleculesR01GM067317 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI GUTELL, ROBIN R · 2003 to 2012
$2.1M
Computational Foundations for Comparative RNA Sequence and StructureR01GM085337 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ELBER, RON, GUTELL, ROBIN R · 2008 to 2011
$1.1M
NIGMS NIH HHS GM067317NIGMS NIH HHS GM085337NIGMS NIH HHS R01 GM067317NIGMS NIH HHS R01 GM085337
6 · The paper itself

Abstract

Covariation analysis is used to identify those positions with similar patterns of sequence variation in an alignment of RNA sequences. These constraints on the evolution of two positions are usually associated with a base pair in a helix. While mutual information (MI) has been used to accurately predict an RNA secondary structure and a few of its tertiary interactions, early studies revealed that phylogenetic event counting methods are more sensitive and provide extra confidence in the prediction of base pairs. We developed a novel and powerful phylogenetic events counting method (PEC) for quantifying positional covariation with the Gutell lab's new RNA Comparative Analysis Database (rCAD). The PEC and MI-based methods each identify unique base pairs, and jointly identify many other base pairs. In total, both methods in combination with an N-best and helix-extension strategy identify the maximal number of base pairs. While covariation methods have effectively and accurately predicted RNAs secondary structure, only a few tertiary structure base pairs have been identified. Analysis presented herein and at the Gutell lab's Comparative RNA Web (CRW) Site reveal that the majority of these latter base pairs do not covary with one another. However, covariation analysis does reveal a weaker although significant covariation between sets of nucleotides that are in proximity in the three-dimensional RNA structure. This reveals that covariation analysis identifies other types of structural constraints beyond the two nucleotides that form a base pair.

Indexed as

AlgorithmsBase PairingComputational BiologyNucleic Acid ConformationRNA, BacterialRNA, RibosomalRNA, Ribosomal, 16SRNA, Ribosomal, 23SRNA, Ribosomal, 5SRNA, BacterialRNA, RibosomalRNA, Ribosomal, 16SRNA, Ribosomal, 23SRNA, Ribosomal, 5S

Identifiers

PMID22724009
PMCPMC3378556

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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.