Evidence map›Paper›PMID 29795785›Full record

ArticleScience advances2018

Conformational ensembles of RNA oligonucleotides from integrating NMR and molecular simulations.

Sandro Bottaro, Giovanni Bussi, Scott D Kennedy, Douglas H Turner, Kresten Lindorff-Larsen

Abstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Article
  6. Destabilization of Structured RNAs by OPC and TIP4PD Water Models.Journal of chemical theory and computation · 2026
    Article
  7. Article
  8. The Kink-Turn 7 Motif: An Additional Test for RNA Force Field Performance.Journal of chemical theory and computation · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Hierarchical Assembly of Single-Stranded RNA.Journal of chemical theory and computation · 2024
    Article
  19. 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

5 authors.

Sandro BottaroStructural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-1606-890X
Giovanni BussiInternational School for Advanced Studies, Trieste, Italy.ORCID 0000-0001-9216-5782
Scott D KennedyDepartment of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.ORCID 0000-0001-9792-8726
Douglas H TurnerDepartment of Chemistry, University of Rochester, Rochester, NY 14627, USA.
Kresten Lindorff-LarsenStructural Biology and NMR Laboratory, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-4750-6039

Funding

KINETIC AND SPECTROSCOPIC STUDIES OF NUCLEIC ACIDSR01GM022939 · NIGMS · UNIVERSITY OF ROCHESTER · PI TURNER, DOUGLAS H. · 1985 to 2016
$7.6M
NIGMS NIH HHS R01 GM022939
6 · The paper itself

Abstract

RNA molecules are key players in numerous cellular processes and are characterized by a complex relationship between structure, dynamics, and function. Despite their apparent simplicity, RNA oligonucleotides are very flexible molecules, and understanding their internal dynamics is particularly challenging using experimental data alone. We show how to reconstruct the conformational ensemble of four RNA tetranucleotides by combining atomistic molecular dynamics simulations with nuclear magnetic resonance spectroscopy data. The goal is achieved by reweighting simulations using a maximum entropy/Bayesian approach. In this way, we overcome problems of current simulation methods, as well as in interpreting ensemble- and time-averaged experimental data. We determine the populations of different conformational states by considering several nuclear magnetic resonance parameters and point toward properties that are not captured by state-of-the-art molecular force fields. Although our approach is applied on a set of model systems, it is fully general and may be used to study the conformational dynamics of flexible biomolecules and to detect inaccuracies in molecular dynamics force fields.

Indexed as

Molecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularNucleic Acid ConformationAlgorithmsOligoribonucleotidesReproducibility of ResultsOligoribonucleotides

Identifiers

PMID29795785
PMCPMC5959319

What OpenQuestion holds

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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.