Evidence map›Paper›PMID 24453949›Full record

ArticleJournal of chemical theory and computation2014

Multidimensional Replica Exchange Molecular Dynamics Yields a Converged Ensemble of an RNA Tetranucleotide.

Christina Bergonzo, Niel M Henriksen, Daniel R Roe, Jason M Swails, Adrian E Roitberg, Thomas E Cheatham

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Review
  2. Perspective - RNA Dynamics Today and Tomorrow.Journal of molecular biology · 2026
    Review
  3. Reparameterization of the Amber RNA Force Field Non-Bonded Terms.bioRxiv : the preprint server for biology · 2026
    Article
  4. Recent Developments in Amber Biomolecular Simulations.Journal of chemical information and modeling · 2025
    Article
  5. Review
  6. Article
  7. Molecular dynamics in multidimensional space explains how mutations affect the association path of neomycin to a riboswitch.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Structures and Dynamics of DNA Mini-Dumbbells Are Force Field Dependent.Journal of chemical theory and computation · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Uncertainty quantification in classical molecular dynamics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

6 authors.

Christina BergonzoDepartment of Medicinal Chemistry, College of Pharmacy, University of Utah , Salt Lake City, Utah 84112, United States.
Niel M HenriksenDepartment of Medicinal Chemistry, College of Pharmacy, University of Utah , Salt Lake City, Utah 84112, United States.
Daniel R RoeDepartment of Medicinal Chemistry, College of Pharmacy, University of Utah , Salt Lake City, Utah 84112, United States.
Jason M SwailsDepartment of Chemistry, University of Florida , Gainesville, Florida 32611, United States.
Adrian E RoitbergDepartment of Chemistry, University of Florida , Gainesville, Florida 32611, United States.
Thomas E CheathamDepartment of Medicinal Chemistry, College of Pharmacy, University of Utah , Salt Lake City, Utah 84112, United States.

Funding

Biomolecular simulation for the end-stage refinement of nucleic acid structureR01GM081411 · NIGMS · UNIVERSITY OF UTAH · PI CHEATHAM, THOMAS E. · 2008 to 2022
$2.7M
RNA-ligand interactions: simulation and experimentR01GM098102 · NIGMS · WASHINGTON UNIVERSITY · PI CHEATHAM, THOMAS E., HALL, KATHLEEN B · 2011 to 2014
$2.1M
NIGMS NIH HHS R01 GM081411NIGMS NIH HHS R01 GM098102
6 · The paper itself

Abstract

A necessary step to properly assess and validate the performance of force fields for biomolecules is to exhaustively sample the accessible conformational space, which is challenging for large RNA structures. Given questions regarding the reliability of modeling RNA structure and dynamics with current methods, we have begun to use RNA tetranucleotides to evaluate force fields. These systems, though small, display considerable conformational variability and complete sampling with standard simulation methods remains challenging. Here we compare and discuss the performance of known variations of replica exchange molecular dynamics (REMD) methods, specifically temperature REMD (T-REMD), Hamiltonian REMD (H-REMD), and multidimensional REMD (M-REMD) methods, which have been implemented in Amber's accelerated GPU code. Using two independent simulations, we show that M-REMD not only makes very efficient use of emerging large-scale GPU clusters, like Blue Waters at the University of Illinois, but also is critically important in generating the converged ensemble more efficiently than either T-REMD or H-REMD. With 57.6 μs aggregate sampling of a conformational ensemble with M-REMD methods, the populations can be compared to NMR data to evaluate force field reliability and further understand how putative changes to the force field may alter populations to be in more consistent agreement with experiment.

Identifiers

PMID24453949
PMCPMC3893832

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.