Evidence map›Paper›PMID 17080418›Full record

ReviewBiopolymers2007

Molecular dynamics simulations of RNA: an in silico single molecule approach.

S Elizabeth McDowell, Nad'a Spacková, Jirí Sponer, Nils G Walter

Abstract readReview
In one paragraph

Review in Biopolymers, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Computer-Assisted Design and Characterization of RNA Nanostructures.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  3. Article
  4. Review
  5. Review
  6. Atomistic Analysis of ToxN and ToxI Complex Unbinding Mechanism.International journal of molecular sciences · 2018
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Dynamics of riboswitches: Molecular simulations.Biochimica et biophysica acta · 2014
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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.

S Elizabeth McDowellBiophysics Research Division, Single Molecule Analysis Group, University of Michigan, 930 N. University Avenue, Ann Arbor, MI 48109-1055, USA.
Nad'a Spacková
Jirí Sponer
Nils G Walter

Funding

U-turn of the Hepatitis Delta Virus RibozymeR01GM062357 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WALTER, NILS G · 2001 to 2019
$5.8M
NIGMS NIH HHS GM 62357NIGMS NIH HHS R01 GM062357Wellcome Trust 067507Wellcome Trust GR 067507
6 · The paper itself

Abstract

RNA molecules are now known to be involved in the processing of genetic information at all levels, taking on a wide variety of central roles in the cell. Understanding how RNA molecules carry out their biological functions will require an understanding of structure and dynamics at the atomistic level, which can be significantly improved by combining computational simulation with experiment. This review provides a critical survey of the state of molecular dynamics (MD) simulations of RNA, including a discussion of important current limitations of the technique and examples of its successful application. Several types of simulations are discussed in detail, including those of structured RNA molecules and their interactions with the surrounding solvent and ions, catalytic RNAs, and RNA-small molecule and RNA-protein complexes. Increased cooperation between theorists and experimentalists will allow expanded judicious use of MD simulations to complement conceptually related single molecule experiments. Such cooperation will open the door to a fundamental understanding of the structure-function relationships in diverse and complex RNA molecules. .

Indexed as

Computational BiologyComputer SimulationCatalysisNucleic Acid ConformationRNARNA-Binding ProteinsRNARNA-Binding Proteins

Identifiers

PMID17080418
PMCPMC2018183

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.