Evidence map›Paper›PMID 17652406›Full record

ArticleRNA (New York, N.Y.)2007

A comparative analysis of the triloops in all high-resolution RNA structures reveals sequence structure relationships.

Véronique Lisi, François Major

Abstract readComparative Study
In one paragraph

Article in RNA (New York, N.Y.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. RNA folding pathways in stop motion.Nucleic acids research · 2016
    Article
  9. Article
  10. Article
  11. RNA modularity for synthetic biology.F1000prime reports · 2013
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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.

Véronique LisiInstitute for Research in Immunology and Cancer, Department of Computer Science and Operations Research, Université de Montréal, Québec, Canada.
François Major

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite an increasing number of experimentally determined RNA structures, the gap between the number of structures and that of RNA families is still growing. To overcome this limitation, efficient and reliable RNA modeling methodologies must be developed. In order to reach this goal, here, we show how triloop sequence-structure relationships have been inferred through a systematic analysis of all triloops found in available high-resolution structures. The structural annotation of all triloops allowed us to define discrete states of the triloop's conformational space, and therefore an explicit sequence-to-structure relation. The sequence-structure relationships inferred from this explicit relation are presented in a convenient modeling table that provides a limited set of possible three-dimensional structures given any triloop sequence. The table is indexed by the two nucleotides that form the triloop's flanking base pair, since they are shown to provide the most information about the triloop three-dimensional structures. We also report the observations in the X-ray crystallographic structures of important conformational variations, which we believe might be the result of RNA dynamic.

Indexed as

Models, MolecularNucleic Acid ConformationBase PairingCrystallography, X-RayHaloarcula marismortuiRNA, ArchaealRNA, Ribosomal, 23SSequence Analysis, RNAStructure-Activity RelationshipRNA, ArchaealRNA, Ribosomal, 23S

Identifiers

PMID17652406
PMCPMC1950765

What OpenQuestion holds

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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.