Evidence map›Paper›PMID 27091499›Full record

ArticleNucleic acids research2016

RNA folding pathways in stop motion.

Sandro Bottaro, Alejandro Gil-Ley, Giovanni Bussi

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Exploring RNA destabilization mechanisms in biomolecular condensates through atomistic simulations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Automatic Learning of Hydrogen-Bond Fixes in the AMBER RNA Force Field.Journal of chemical theory and computation · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Emergency Services of Viral RNAs: Repair and Remodeling.Microbiology and molecular biology reviews : MMBR · 2018
    Review
  12. Article
  13. Review
  14. Article
  15. MgBiophysical journal · 2017
    Article
  16. Article
  17. Article
  18. Unraveling MgRNA (New York, N.Y.) · 2017
    Article
  19. Article
  20. Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.Journal of chemical theory and computation · 2017
    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.

Sandro BottaroScuola Internazionale Superiore di Studi Avanzati, International School for Advanced Studies, 265, Via Bonomea I-34136 Trieste, Italy sbottaro@sissa.it.
Alejandro Gil-LeyScuola Internazionale Superiore di Studi Avanzati, International School for Advanced Studies, 265, Via Bonomea I-34136 Trieste, Italy.
Giovanni BussiScuola Internazionale Superiore di Studi Avanzati, International School for Advanced Studies, 265, Via Bonomea I-34136 Trieste, Italy bussi@sissa.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a method for predicting RNA folding pathways, with an application to the most important RNA tetraloops. The method is based on the idea that ensembles of three-dimensional fragments extracted from high-resolution crystal structures are heterogeneous enough to describe metastable as well as intermediate states. These ensembles are first validated by performing a quantitative comparison against available solution nuclear magnetic resonance (NMR) data of a set of RNA tetranucleotides. Notably, the agreement is better with respect to the one obtained by comparing NMR with extensive all-atom molecular dynamics simulations. We then propose a procedure based on diffusion maps and Markov models that makes it possible to obtain reaction pathways and their relative probabilities from fragment ensembles. This approach is applied to study the helix-to-loop folding pathway of all the tetraloops from the GNRA and UNCG families. The results give detailed insights into the folding mechanism that are compatible with available experimental data and clarify the role of intermediate states observed in previous simulation studies. The method is computationally inexpensive and can be used to study arbitrary conformational transitions.

Indexed as

RNA FoldingDiffusionKineticsMagnetic Resonance SpectroscopyMarkov ChainsMolecular Dynamics SimulationMotionNucleic Acid ConformationOligoribonucleotidesRNAThermodynamicsOligoribonucleotidesRNA

Identifiers

PMID27091499
PMCPMC4937309

What OpenQuestion holds

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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.