Evidence map›Paper›PMID 26580891›Full record

ArticleJournal of chemical theory and computation2015

Large-Scale Analysis of 48 DNA and 48 RNA Tetranucleotides Studied by 1 μs Explicit-Solvent Molecular Dynamics Simulations.

Michael V Schrodt, Casey T Andrews, Adrian H Elcock

Erratum issuedAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Fitting coarse-grained models to macroscopic experimental data via automatic differentiation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. Article
  4. Development and Testing of the OPLS-AA/M Force Field for RNA.Journal of chemical theory and computation · 2019
    Article
  5. Review
  6. RNA force field with accuracy comparable to state-of-the-art protein force fields.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Michael V SchrodtDepartment of Biochemistry, University of Iowa , Iowa City, Iowa 52242, United States.
Casey T AndrewsDepartment of Biochemistry, University of Iowa , Iowa City, Iowa 52242, United States.
Adrian H ElcockDepartment of Biochemistry, University of Iowa , Iowa City, Iowa 52242, United States.

Funding

Molecular Simulations of Folding & Association in Physiological EnvironmentsR01GM087290 · NIGMS · UNIVERSITY OF IOWA · PI ELCOCK, ADRIAN HAMILTON · 2009 to 2017
$1.6M
Molecular Simulations of Cotranslational FoldingR01GM099865 · NIGMS · UNIVERSITY OF IOWA · PI ELCOCK, ADRIAN HAMILTON · 2012 to 2015
$1.0M
NIGMS NIH HHS R01 GM087290NIGMS NIH HHS R01 GM099865
6 · The paper itself

Abstract

An understanding of how the conformational behavior of single-stranded DNAs and RNAs depend on sequence is likely to be important for attempts to rationalize the thermodynamics of nucleic acid folding. In an attempt to further our understanding of such sequence dependences, we report here the results of 192 (1 μs) explicit-solvent molecular dynamics (MD) simulations of 48 DNA and 48 RNA tetranucleotide sequences performed using recently reported modifications to the AMBER force field. Each tetranucleotide was simulated starting from two different conformations, a fully natively stacked and a completely unstacked conformation, and populations of the various possible base stacking arrangements were analyzed. The simulations indicate that, for both DNA and RNA, the populations of fully natively stacked conformations increase linearly with increasing numbers of purines in the sequence, while the conformational entropies, computed by two complementary methods, decrease. Despite the comparatively short simulation times, the computed free energies of stacking of the 16 possible combinations of bases in the middle of the sequences are found to be in good correspondence with values reported recently from simulations of dinucleoside monophosphates using the same force field. Finally, consistent with recent reports from other groups, non-native stacking interactions, i.e., between bases that are not adjacent in sequence, are shown to be a recurring feature of the simulations; in particular, stacking interactions of bases in a i:i+2 relationship are shown to occur significantly more frequently when the intervening base is a pyrimidine. Given that the high prevalence of non-native stacking interactions is thought to be unrealistic, it appears that further parametrization work will be required before accurate conformational descriptions of single-stranded nucleic acids can be obtained with current force fields.

Indexed as

Molecular Dynamics SimulationBase SequenceDNANucleic Acid ConformationRNASolventsThermodynamicsDNARNASolvents

Identifiers

PMID26580891
PMCPMC4806854

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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.