Evidence map›Paper›PMID 30275276›Full record

ReviewCold Spring Harbor perspectives in biology2018

The Story of RNA Folding, as Told in Epochs.

Daniel Herschlag, Steve Bonilla, Namita Bisaria

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Machine Learning for RNA-Targeting Drug Design.Journal of chemical information and modeling · 2026
    Review
  2. Rho (bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Universal cold RNA phase transitions.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Increasing the accuracy of single-molecule data analysis using tMAVEN.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Analysis of lncRNAs inNon-coding RNA · 2023
    Article
  16. Article
  17. Article
  18. Dissecting the energetic architecture within an RNA tertiary structural motif via high-throughput thermodynamic measurements.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. DNA Nanomachine (DNM) Biplex Assay for DifferentiatingInternational journal of molecular sciences · 2023
    Article
  20. 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

3 authors.

Daniel HerschlagDepartment of Biochemistry, Stanford University, Stanford, California 94305.
Steve BonillaDepartment of Biochemistry, Stanford University, Stanford, California 94305.
Namita BisariaWhitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142.

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

The past decades have witnessed tremendous developments in our understanding of RNA biology. At the core of these advances have been studies aimed at discerning RNA structure and at understanding the forces that influence the RNA folding process. It is easy to take the present state of understanding for granted, but there is much to be learned by considering the path to our current understanding, which has been tortuous, with the birth and death of models, the adaptation of experimental tools originally developed for characterization of protein structure and catalysis, and the development of novel tools for probing RNA. In this review we tour the stages of RNA folding studies, considering them as "epochs" that can be generalized across scientific disciplines. These epochs span from the discovery of catalytic RNA, through biophysical insights into the putative primordial RNA World, to characterization of structured RNAs, the building and testing of models, and, finally, to the development of models with the potential to yield generalizable predictive and quantitative models for RNA conformational, thermodynamic, and kinetic behavior. We hope that this accounting will aid others as they navigate the many fascinating questions about RNA and its roles in biology, in the past, present, and future.

Indexed as

RNA FoldingAnimalsHumansModels, ChemicalRNAThermodynamicsRNA

Identifiers

PMID30275276
PMCPMC6169817

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.