Evidence map›Paper›PMID 31815464›Full record

ArticleJournal of the American Chemical Society2020

Exposing Hidden High-Affinity RNA Conformational States.

Nicole I Orlovsky, Hashim M Al-Hashimi, Terrence G Oas

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Generative AI for computational chemistry: A roadmap to predicting emergent phenomena.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. An overview of structural approaches to study therapeutic RNAs.Frontiers in molecular biosciences · 2022
    Review
  15. Article
  16. Review
  17. A quantitative model predicts how mNature communications · 2021
    Article
  18. Article
  19. Article
  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 at 2 institutions in 1 country.

Nicole I OrlovskyDepartment of Biochemistry , Duke University Medical Center , Durham , North Carolina 27710 , United States.
Hashim M Al-HashimiDepartment of Biochemistry , Duke University Medical Center , Durham , North Carolina 27710 , United States.
Terrence G OasDepartment of Biochemistry , Duke University Medical Center , Durham , North Carolina 27710 , United States.ORCID 0000-0002-3067-2743
Duke University · USDuke Medical Center · US

Funding

The Center for HIV RNA Studies (CRNA)P50GM103297 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAYIE, KWAKU · 2012 to 2016
$21.7M
The Center for HIV RNA Studies (CRNA)U54GM103297 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TELESNITSKY, ALICE · 2017 to 2018
$10.2M
Mechanistic Studies of Complex Protein Folding ReactionsR01GM081666 · NIGMS · DUKE UNIVERSITY · PI OAS, TERRENCE GILBERT · 2009 to 2012
$1.9M
NIGMS NIH HHS P50 GM103297NIGMS NIH HHS R01 GM081666NIGMS NIH HHS U54 GM103297
6 · The paper itself

Abstract

RNA recognition frequently results in conformational changes that optimize intermolecular binding. As a consequence, the overall binding affinity of RNA to its binding partners depends not only on the intermolecular interactions formed in the bound state but also on the energy cost associated with changing the RNA conformational distribution. Measuring these "conformational penalties" is, however, challenging because bound RNA conformations tend to have equilibrium populations in the absence of the binding partner that fall outside detection by conventional biophysical methods. In this study we employ as a model system HIV-1 TAR RNA and its interaction with the ligand argininamide (ARG), a mimic of TAR's cognate protein binding partner, the transactivator Tat. We use NMR chemical shift perturbations and relaxation dispersion in combination with Bayesian inference to develop a detailed thermodynamic model of coupled conformational change and ligand binding. Starting from a comprehensive 12-state model of the equilibrium, we estimate the energies of six distinct detectable thermodynamic states that are not accessible by currently available methods. Our approach identifies a minimum of four RNA intermediates that differ in terms of the TAR conformation and ARG occupancy. The dominant bound TAR conformation features two bound ARG ligands and has an equilibrium population in the absence of ARG that is below detection limit. Consequently, even though ARG binds to TAR with an apparent overall weak affinity (

Indexed as

Nucleic Acid ConformationBinding SitesHIV-1Models, ChemicalNuclear Magnetic Resonance, BiomolecularRNARNA, ViralRNARNA, Viral

Identifiers

PMID31815464
PMCPMC7380322
OpenAlexW2995663299

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.