Evidence map›Paper›PMID 28048939›Full record

ArticleJournal of chemical theory and computation2017

Revised RNA Dihedral Parameters for the Amber Force Field Improve RNA Molecular Dynamics.

Asaminew H Aytenfisu, Aleksandar Spasic, Alan Grossfield, Harry A Stern, David H Mathews

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

58 citing papers in PubMed, 142 citations in OpenAlex.

  1. Article
  2. Reparameterization of the Amber RNA Force Field Non-Bonded Terms.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. The Kink-Turn 7 Motif: An Additional Test for RNA Force Field Performance.Journal of chemical theory and computation · 2025
    Article
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  14. Review
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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

5 authors at 2 institutions in 1 country.

Asaminew H AytenfisuDepartment of Biochemistry & Biophysics, University of Rochester Medical Center , Rochester, New York 14642, United States.
Aleksandar SpasicDepartment of Biochemistry & Biophysics, University of Rochester Medical Center , Rochester, New York 14642, United States.
Alan GrossfieldDepartment of Biochemistry & Biophysics, University of Rochester Medical Center , Rochester, New York 14642, United States.
Harry A SternCenter for Integrated Research Computing, University of Rochester , Rochester, New York 14642, United States.
David H MathewsDepartment of Biochemistry & Biophysics, University of Rochester Medical Center , Rochester, New York 14642, United States.ORCID http://orcid.org/0000-0002-2907-6557
University of Rochester Medical Center · USUniversity of Rochester · US

Funding

Supporting RNAstructure: Software for RNA AnalysisR01GM076485 · NIGMS · UNIVERSITY OF ROCHESTER · PI MATHEWS, DAVID H. · 2006 to 2021
$4.7M
Multiscale modeling of G protein-coupled receptorsR01GM095496 · NIGMS · UNIVERSITY OF ROCHESTER · PI GROSSFIELD, ALAN · 2011 to 2015
$1.3M
NIGMS NIH HHS R01 GM076485NIGMS NIH HHS R01 GM095496
6 · The paper itself

Abstract

The backbone dihedral parameters of the Amber RNA force field were improved by fitting using multiple linear regression to potential energies determined by quantum chemistry calculations. Five backbone and four glycosidic dihedral parameters were fit simultaneously to reproduce the potential energies determined by a high-level density functional theory calculation (B97D3 functional with the AUG-CC-PVTZ basis set). Umbrella sampling was used to determine conformational free energies along the dihedral angles, and these better agree with the population of conformations observed in the protein data bank for the new parameters than for the conventional parameters. Molecular dynamics simulations performed on a set of hairpin loops, duplexes and tetramers with the new parameter set show improved modeling for the structures of tetramers CCCC, CAAU, and GACC, and an RNA internal loop of noncanonical pairs, as compared to the conventional parameters. For the tetramers, the new parameters largely avoid the incorrect intercalated structures that dominate the conformational samples from the conventional parameters. For the internal loop, the major conformation solved by NMR is stable with the new parameters, but not with the conventional parameters. The new force field performs similarly to the conventional parameters for the UUCG and GCAA hairpin loops and the [U(UA)

Indexed as

Molecular Dynamics SimulationBase SequenceNucleic Acid ConformationRNASoftwareThermodynamicsRNA

Identifiers

PMID28048939
PMCPMC5312698
OpenAlexW2563104535

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.