Evidence map›Paper›PMID 32810273›Full record

ArticleNucleic acids research2020

Predictions and analyses of RNA nearest neighbor parameters for modified nucleotides.

Melissa C Hopfinger, Charles C Kirkpatrick, Brent M Znosko

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Chemical Modifications in Nucleic Acid Therapeutics.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Review
  11. Predicting DNA Reactions with a Quantum Chemistry-Based Deep Learning Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  12. Article
  13. Diaminopurine in Nonenzymatic RNA Template Copying.Journal of the American Chemical Society · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Tailor made: the art of therapeutic mRNA design.Nature reviews. Drug discovery · 2024
    Review
  18. Article
  19. The diverse role of RNA methylation in esophageal cancer.Acta biochimica et biophysica Sinica · 2023
    Review
  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

3 authors.

Melissa C HopfingerDepartment of Chemistry, Saint Louis University, Saint Louis, MO 63103, USA.
Charles C KirkpatrickDepartment of Chemistry, Saint Louis University, Saint Louis, MO 63103, USA.
Brent M ZnoskoDepartment of Chemistry, Saint Louis University, Saint Louis, MO 63103, USA.

Funding

Understanding the Thermodynamics and Structure of RNA Secondary Structure MotifsR15GM085699 · NIGMS · SAINT LOUIS UNIVERSITY · PI ZNOSKO, BRENT · 2009 to 2025
$2.0M
NIGMS NIH HHS R15 GM085699
6 · The paper itself

Abstract

The most popular RNA secondary structure prediction programs utilize free energy (ΔG°37) minimization and rely upon thermodynamic parameters from the nearest neighbor (NN) model. Experimental parameters are derived from a series of optical melting experiments; however, acquiring enough melt data to derive accurate NN parameters with modified base pairs is expensive and time consuming. Given the multitude of known natural modifications and the continuing use and development of unnatural nucleotides, experimentally characterizing all modified NNs is impractical. This dilemma necessitates a computational model that can predict NN thermodynamics where experimental data is scarce or absent. Here, we present a combined molecular dynamics/quantum mechanics protocol that accurately predicts experimental NN ΔG°37 parameters for modified nucleotides with neighboring Watson-Crick base pairs. NN predictions for Watson-Crick and modified base pairs yielded an overall RMSD of 0.32 kcal/mol when compared with experimentally derived parameters. NN predictions involving modified bases without experimental parameters (N6-methyladenosine, 2-aminopurineriboside, and 5-methylcytidine) demonstrated promising agreement with available experimental melt data. This procedure not only yields accurate NN ΔG°37 predictions but also quantifies stacking and hydrogen bonding differences between modified NNs and their canonical counterparts, allowing investigators to identify energetic differences and providing insight into sources of (de)stabilization from nucleotide modifications.

Indexed as

Base PairingModels, ChemicalNucleic Acid ConformationBase SequenceEntropyHydrogen BondingMolecular Dynamics SimulationNucleotidesRNANucleotidesRNA

Identifiers

PMID32810273
PMCPMC7498315

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.