Evidence map›Paper›PMID 37944118›Full record

ArticleJournal of chemical theory and computation2023

Simple Adjustment of Intranucleotide Base-Phosphate Interaction in the OL3 AMBER Force Field Improves RNA Simulations.

Vojtěch Mlýnský, Petra Kührová, Petr Stadlbauer, Miroslav Krepl, Michal Otyepka, Pavel Banáš, Jiří Šponer

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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. Article
  10. Article
  11. Accurately Modeling RNA Stem-Loops in an Implicit Solvent Environment.Journal of chemical information and modeling · 2024
    Article
  12. Embracing exascale computing in nucleic acid simulations.Current opinion in structural biology · 2024
    Review
  13. Article
  14. 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

7 authors.

Vojtěch MlýnskýInstitute of Biophysics of the Czech Academy of Sciences, Královopolská 135, Brno 612 00, Czech Republic.ORCID 0000-0003-2769-1553
Petra KührováInstitute of Biophysics of the Czech Academy of Sciences, Královopolská 135, Brno 612 00, Czech Republic.ORCID 0000-0003-1593-5282
Petr StadlbauerInstitute of Biophysics of the Czech Academy of Sciences, Královopolská 135, Brno 612 00, Czech Republic.ORCID 0000-0002-5470-8376
Miroslav KreplInstitute of Biophysics of the Czech Academy of Sciences, Královopolská 135, Brno 612 00, Czech Republic.ORCID 0000-0002-9833-4281
Michal OtyepkaCzech Advanced Technology and Research Institute, CATRIN, Křížkovského 511/8, Olomouc 779 00, Czech Republic.ORCID 0000-0002-1066-5677
Pavel BanášInstitute of Biophysics of the Czech Academy of Sciences, Královopolská 135, Brno 612 00, Czech Republic.ORCID 0000-0002-7137-8225
Jiří ŠponerInstitute of Biophysics of the Czech Academy of Sciences, Královopolská 135, Brno 612 00, Czech Republic.ORCID 0000-0001-6558-6186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics (MD) simulations represent an established tool to study RNA molecules. The outcome of MD studies depends, however, on the quality of the force field (

Indexed as

PhosphatesRNAMolecular ConformationMolecular Dynamics SimulationNucleotide MotifsPhosphatesRNA

Identifiers

PMID37944118
PMCPMC10687871

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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.