Evidence map›Paper›PMID 26124199›Full record

ArticleRNA (New York, N.Y.)2015

Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields.

Christina Bergonzo, Niel M Henriksen, Daniel R Roe, Thomas E Cheatham

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Reparameterization of the Amber RNA Force Field Non-Bonded Terms.bioRxiv : the preprint server for biology · 2026
    Article
  5. Destabilization of Structured RNAs by OPC and TIP4PD Water Models.Journal of chemical theory and computation · 2026
    Article
  6. The Kink-Turn 7 Motif: An Additional Test for RNA Force Field Performance.Journal of chemical theory and computation · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Accurately Modeling RNA Stem-Loops in an Implicit Solvent Environment.Journal of chemical information and modeling · 2024
    Article
  12. Article
  13. Article
  14. RNA Folding Based on 5 Beads Model and Multiscale Simulation.Interdisciplinary sciences, computational life sciences · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Structures and Dynamics of DNA Mini-Dumbbells Are Force Field Dependent.Journal of chemical theory and computation · 2023
    Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

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

4 authors.

Christina BergonzoDepartment of Medicinal Chemistry, College of Pharmacy, L.S. Skaggs Pharmacy Research Institute, University of Utah, Salt Lake City, Utah 84112, USA.
Niel M HenriksenDepartment of Medicinal Chemistry, College of Pharmacy, L.S. Skaggs Pharmacy Research Institute, University of Utah, Salt Lake City, Utah 84112, USA.
Daniel R RoeDepartment of Medicinal Chemistry, College of Pharmacy, L.S. Skaggs Pharmacy Research Institute, University of Utah, Salt Lake City, Utah 84112, USA.
Thomas E CheathamDepartment of Medicinal Chemistry, College of Pharmacy, L.S. Skaggs Pharmacy Research Institute, University of Utah, Salt Lake City, Utah 84112, USA.

Funding

RNA-ligand interactions: simulation and experimentR01GM098102 · NIGMS · WASHINGTON UNIVERSITY · PI CHEATHAM, THOMAS E., HALL, KATHLEEN B · 2011 to 2014
$2.1M
NIGMS NIH HHS R01 GM098102NIGMS NIH HHS R01-GM098102
6 · The paper itself

Abstract

Recent modifications and improvements to standard nucleic acid force fields have attempted to fix problems and issues that have been observed as longer timescale simulations have become routine. Although previous work has shown the ability to fold the UUCG stem-loop structure, until now no group has attempted to quantify the performance of current force fields using highly converged structural populations of the tetraloop conformational ensemble. In this study, we report the use of multiple independent sets of multidimensional replica exchange molecular dynamics (M-REMD) simulations with different initial conditions to generate well-converged conformational ensembles for the tetranucleotides r(GACC) and r(CCCC), as well as the larger UUCG tetraloop motif. By generating what is to our knowledge the most complete RNA structure ensembles reported to date for these systems, we remove the coupling between force field errors and errors due to incomplete sampling, providing a comprehensive comparison between current top-performing MD force fields for RNA. Of the RNA force fields tested in this study, none demonstrate the ability to correctly identify the most thermodynamically stable structure for all three systems. We discuss the deficiencies present in each potential function and suggest areas where improvements can be made. The results imply that although "short" (nsec-μsec timescale) simulations may stay close to their respective experimental structures and may well reproduce experimental observables, inevitably the current force fields will populate alternative incorrect structures that are more stable than those observed via experiment.

Indexed as

Computational BiologyMagnetic Resonance SpectroscopyMolecular Dynamics SimulationNucleic Acid ConformationNucleotide MotifsRNAThermodynamicsRNAAMBERCHARMMenhanced samplingforce fieldsmolecular dynamicsreplica exchangeRNA

Identifiers

PMID26124199
PMCPMC4536319

What OpenQuestion holds

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LicenceCC BY
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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.