Evidence map›Paper›PMID 27153317›Full record

ArticleJournal of chemical theory and computation2016

Empirical Corrections to the Amber RNA Force Field with Target Metadynamics.

Alejandro Gil-Ley, Sandro Bottaro, Giovanni Bussi

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. 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. Development and Testing of the OPLS-AA/M Force Field for RNA.Journal of chemical theory and computation · 2019
    Article
  7. Article
  8. Review
  9. AMOEBA Polarizable Atomic Multipole Force Field for Nucleic Acids.Journal of chemical theory and computation · 2018
    Article
  10. 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
  11. Physics-based all-atom modeling of RNA energetics and structure.Wiley interdisciplinary reviews. RNA · 2017
    Review
  12. Article
  13. Unraveling MgRNA (New York, N.Y.) · 2017
    Article
  14. Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.Journal of chemical theory and computation · 2017
    Article
  15. 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.

Alejandro Gil-LeyScuola Internazionale Superiore di Studi Avanzati (SISSA) , via Bonomea 265, 34136 Trieste, Italy.
Sandro BottaroScuola Internazionale Superiore di Studi Avanzati (SISSA) , via Bonomea 265, 34136 Trieste, Italy.
Giovanni BussiScuola Internazionale Superiore di Studi Avanzati (SISSA) , via Bonomea 265, 34136 Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The computational study of conformational transitions in nucleic acids still faces many challenges. For example, in the case of single stranded RNA tetranucleotides, agreement between simulations and experiments is not satisfactory due to inaccuracies in the force fields commonly used in molecular dynamics simulations. We here use experimental data collected from high-resolution X-ray structures to attempt an improvement of the latest version of the AMBER force field. A modified metadynamics algorithm is used to calculate correcting potentials designed to enforce experimental distributions of backbone torsion angles. Replica-exchange simulations of tetranucleotides including these correcting potentials show significantly better agreement with independent solution experiments for the oligonucleotides containing pyrimidine bases. Although the proposed corrections do not seem to be portable to generic RNA systems, the simulations revealed the importance of the α and ζ backbone angles for the modulation of the RNA conformational ensemble. The correction protocol presented here suggests a systematic procedure for force-field refinement.

Indexed as

Molecular Dynamics SimulationAlgorithmsMagnetic Resonance SpectroscopyNucleic Acid ConformationRNAThermodynamicsRNA

Identifiers

PMID27153317
PMCPMC4910146

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.