Evidence map›Paper›PMID 28393861›Full record

ArticleScientific reports2017

Capturing RNA Folding Free Energy with Coarse-Grained Molecular Dynamics Simulations.

David R Bell, Sara Y Cheng, Heber Salazar, Pengyu Ren

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. IsRNA1:Journal of chemical theory and computation · 2021
    Article
  11. RNA 3D Structure Prediction Using Coarse-Grained Models.Frontiers in molecular biosciences · 2021
    Review
  12. Article
  13. In silico design and validation of high-affinity RNA aptamers targeting epithelial cellular adhesion molecule dimers.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Theory and simulations for RNA folding in mixtures of monovalent and divalent cations.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. Article
  16. Article
  17. Review
  18. 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

4 authors.

David R BellDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Sara Y ChengDepartment of Physics, University of Texas at Austin, Austin, Texas 78712, United States.
Heber SalazarDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Pengyu RenDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.

Funding

DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDR01GM106137 · NIGMS · WASHINGTON UNIVERSITY · PI JAY PONDER, Pengyu Ren · 2013 to 2026
$3.5M
Specificity and Selectivity in Protein-Ion BindingR01GM114237 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI PONDER, JAY, REN, PENGYU · 2015 to 2023
$2.6M
NIGMS NIH HHS R01 GM106137NIGMS NIH HHS R01 GM114237
6 · The paper itself

Abstract

We introduce a coarse-grained RNA model for molecular dynamics simulations, RACER (RnA CoarsE-gRained). RACER achieves accurate native structure prediction for a number of RNAs (average RMSD of 2.93 Å) and the sequence-specific variation of free energy is in excellent agreement with experimentally measured stabilities (R

Indexed as

Molecular Dynamics SimulationRNA FoldingModels, MolecularRNAThermodynamicsRNA

Identifiers

PMID28393861
PMCPMC5385882

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.