Evidence map›Paper›PMID 25744941›Full record

ReviewCurrent opinion in structural biology2015

From static to dynamic: the need for structural ensembles and a predictive model of RNA folding and function.

Daniel Herschlag, Benjamin E Allred, Seshadri Gowrishankar

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Rho (bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
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  5. Exposing Hidden High-Affinity RNA Conformational States.Journal of the American Chemical Society · 2020
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Quantitative tests of a reconstitution model for RNA folding thermodynamics and kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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.

Daniel HerschlagDepartment of Biochemistry, Beckman Center, B400, 279 W. Campus Dr. MC: 5307, Stanford University, Stanford, CA 94305, USA; Department of Chemistry, 333 Campus Drive, Mudd Building, Room 121, Stanford University, Stanford, CA 94305, USA; Department of Chemical Engineering, 443 Via Ortega, Room 129, Stanford University, Stanford, CA 94305, USA. Electronic address: herschla@stanford.edu.
Benjamin E AllredDepartment of Biochemistry, Beckman Center, B400, 279 W. Campus Dr. MC: 5307, Stanford University, Stanford, CA 94305, USA.
Seshadri GowrishankarDepartment of Chemical Engineering, 443 Via Ortega, Room 129, Stanford University, Stanford, CA 94305, USA.

Funding

Time-resolved small angle X-ray scatteringP01GM066275 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2003 to 2017
$17.8M
NIGMS NIH HHS P01 GM066275
6 · The paper itself

Abstract

To understand RNA, it is necessary to move beyond a descriptive categorization towards quantitative predictions of its molecular conformations and functional behavior. An incisive approach to understanding the function and folding of biological RNA systems involves characterizing small, simple components that are largely responsible for the behavior of complex systems including helix-junction-helix elements and tertiary motifs. State-of-the-art methods have permitted unprecedented insight into the conformational ensembles of these elements revealing, for example, that conformations of helix-junction-helix elements are confined to a small region of the ensemble, that this region is highly dependent on the junction's topology, and that the correct alignment of tertiary motifs may be a rare conformation on the overall folding landscape. Further characterization of RNA components and continued development of experimental and computational methods with the goal of quantitatively predicting RNA folding and functional behavior will be critical to understanding biological RNA systems.

Indexed as

Models, MolecularNucleic Acid ConformationKineticsRibosomesRNARNA FoldingThermodynamicsRNA

Identifiers

PMID25744941
PMCPMC4416989

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.