Evidence map›Paper›PMID 19369218›Full record

ArticleNucleic acids research2009

Constructing RNA dynamical ensembles by combining MD and motionally decoupled NMR RDCs: new insights into RNA dynamics and adaptive ligand recognition.

Aaron T Frank, Andrew C Stelzer, Hashim M Al-Hashimi, Ioan Andricioaei

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

69 citing papers in PubMed, 118 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Targeting RNA structures with small molecules.Nature reviews. Drug discovery · 2022
    Review
  10. Mining for Ligandable Cavities in RNA.ACS medicinal chemistry letters · 2021
    Article
  11. Article
  12. Article
  13. Chembiochem : a European journal of chemical biology · 2021
    Article
  14. Review
  15. Target-Directed Approaches for Screening Small Molecules against RNA Targets.SLAS discovery : advancing life sciences R & D · 2020
    Review
  16. Exposing Hidden High-Affinity RNA Conformational States.Journal of the American Chemical Society · 2020
    Article
  17. Article
  18. Article
  19. Sequence-dependent RNA helix conformational preferences predictably impact tertiary structure formation.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  20. The roles of structural dynamics in the cellular functions of RNAs.Nature reviews. Molecular cell biology · 2019
    Review

9 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

4 authors at 2 institutions in 1 country.

Aaron T FrankDepartment of Chemistry, University of California Irvine, 1102 Natural Sciences 2, Irvine, CA 92697, USA.
Andrew C Stelzer
Hashim M Al-Hashimi
Ioan Andricioaei
University of California, Irvine · USUniversity of Michigan–Ann Arbor · US

Funding

SUPPLEMENT FOR MARC SCIENTIFIC COMMUNICATIONS TECHNOLOGYT34GM008078 · NIGMS · BROOKLYN COLLEGE · PI HAINLINE, LOUISE, RABIN, LAURA A. · 1985 to 2022
$8.2M
Targeting HIV-1 Regulatory RNA ElementsR01AI066975 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AL-HASHIMI, HASHIM M · 2005 to 2014
$2.6M
NIAID NIH HHS R01 AI066975-01
6 · The paper itself

Abstract

We describe a strategy for constructing atomic resolution dynamical ensembles of RNA molecules, spanning up to millisecond timescales, that combines molecular dynamics (MD) simulations with NMR residual dipolar couplings (RDC) measured in elongated RNA. The ensembles are generated via a Monte Carlo procedure by selecting snap-shot from an MD trajectory that reproduce experimentally measured RDCs. Using this approach, we construct ensembles for two variants of the transactivation response element (TAR) containing three (HIV-1) and two (HIV-2) nucleotide bulges. The HIV-1 TAR ensemble reveals significant mobility in bulge residues C24 and U25 and to a lesser extent U23 and neighboring helical residue A22 that give rise to large amplitude spatially correlated twisting and bending helical motions. Omission of bulge residue C24 in HIV-2 TAR leads to a significant reduction in both the local mobility in and around the bulge and amplitude of inter-helical bending motions. In contrast, twisting motions of the helices remain comparable in amplitude to HIV-1 TAR and spatial correlations between them increase significantly. Comparison of the HIV-1 TAR dynamical ensemble and ligand bound TAR conformations reveals that several features of the binding pocket and global conformation are dynamically preformed, providing support for adaptive recognition via a 'conformational selection' type mechanism.

Indexed as

Computer SimulationHIV Long Terminal RepeatNuclear Magnetic Resonance, BiomolecularHIV-1LigandsModels, MolecularMotionNucleic Acid ConformationRNA, ViralLigandsRNA, Viral

Identifiers

PMID19369218
PMCPMC2699496
OpenAlexW2107435129

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.