Evidence map›Paper›PMID 31128236›Full record

ReviewMethods (San Diego, Calif.)2019

NMR characterization of RNA small molecule interactions.

Rhese D Thompson, Jared T Baisden, Qi Zhang

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Perspectives on Applications ofMolecules (Basel, Switzerland) · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. An overview of structural approaches to study therapeutic RNAs.Frontiers in molecular biosciences · 2022
    Review
  14. Review
  15. Site-Directed Spin Labeling of RNA with aMolecules (Basel, Switzerland) · 2019
    Article
  16. 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

3 authors.

Rhese D ThompsonDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jared T BaisdenDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Qi ZhangDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: zhangqi@unc.edu.

Funding

Riboswitch Dynamics at Atomic ResolutionR01GM114432 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZHANG, QI · 2015 to 2024
$3.0M
NIGMS NIH HHS R01 GM114432
6 · The paper itself

Abstract

Exciting discoveries of naturally occurring ligand-sensing and disease-linked noncoding RNAs have promoted significant interests in understanding RNA-small molecule interactions. NMR spectroscopy is a powerful tool for characterizing intermolecular interactions. In this review, we describe protocols and approaches for applying NMR spectroscopy to investigate interactions between RNA and small molecules. We review protocols for RNA sample preparation, methods for identifying RNA-binding small molecules, approaches for mapping RNA-small molecule interactions, determining complex structures, and characterizing binding kinetics. We hope this review will provide a guideline to streamline NMR applications in studying RNA-small molecule interactions, facilitating both basic mechanistic understandings of RNA functions and translational efforts in developing RNA-targeted therapeutics.

Indexed as

Drug DiscoveryHumansKineticsLigandsMagnetic Resonance SpectroscopyRNASmall Molecule LibrariesLigandsRNASmall Molecule Libraries

Identifiers

PMID31128236
PMCPMC6756962

What OpenQuestion holds

Textmetadata
LicenceTDM
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.