Evidence map›Paper›PMID 25294827›Full record

ArticleNucleic acids research2014

Efficient in silico exploration of RNA interhelical conformations using Euler angles and WExplore.

Alex Dickson, Anthony M Mustoe, Loïc Salmon, Charles L Brooks

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  5. Article
  6. REVO: Resampling of ensembles by variation optimization.The Journal of chemical physics · 2019
    Article
  7. Mapping the Ligand Binding Landscape.Biophysical journal · 2018
    Article
  8. Article
  9. Review
  10. Review
  11. Article
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  14. 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

4 authors at 1 institution in 1 country.

Alex DicksonDepartment of Chemistry, University of Michigan, 930 N University, Ann Arbor, MI 48109, USA.
Anthony M MustoeDepartment of Biophysics, University of Michigan, 930 N University, Ann Arbor, MI 48109, USA.
Loïc SalmonDepartment of Biophysics, University of Michigan, 930 N University, Ann Arbor, MI 48109, USA.
Charles L BrooksDepartment of Chemistry, University of Michigan, 930 N University, Ann Arbor, MI 48109, USA Department of Biophysics, University of Michigan, 930 N University, Ann Arbor, MI 48109, USA brookscl@umich.edu.
University of Michigan–Ann Arbor · US

Funding

Theoretical Studies of Receptor-Ligand InteractionsR01GM037554 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 1987 to 2018
$3.8M
Targeting HIV-1 Regulatory RNA ElementsR01AI066975 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AL-HASHIMI, HASHIM M · 2005 to 2014
$2.6M
Dynamic Structures of Large and Flexible RNAsR21GM096156 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AL-HASHIMI, HASHIM M, BROOKS, CHARLES L · 2011 to 2012
$416k
NIAID NIH HHS R01AI066975NIGMS NIH HHS GM037554NIGMS NIH HHS R01 GM037554NIGMS NIH HHS R21 GM096156
6 · The paper itself

Abstract

HIV-1 TAR RNA is a two-helix bulge motif that plays a critical role in HIV viral replication and is an important drug target. However, efforts at designing TAR inhibitors have been challenged by its high degree of structural flexibility, which includes slow large-amplitude reorientations of its helices with respect to one another. Here, we use the recently introduced algorithm WExplore in combination with Euler angles to achieve unprecedented sampling of the TAR conformational ensemble. Our ensemble achieves similar agreement with experimental NMR data when compared with previous TAR computational studies, and is generated at a fraction of the computational cost. It clearly emerges from configuration space network analysis that the intermittent formation of the A22-U40 base pair acts as a reversible switch that enables sampling of interhelical conformations that would otherwise be topologically disallowed. We find that most previously determined ligand-bound structures are found in similar location in the network, and we use a sample-and-select approach to guide the construction of a set of novel conformations which can serve as the basis for future drug development efforts. Collectively, our findings demonstrate the utility of WExplore in combination with suitable order parameters as a method for exploring RNA conformational space.

Indexed as

AlgorithmsHIV Long Terminal RepeatComputer SimulationHIV-1Models, MolecularNucleic Acid ConformationRNA, ViralRNA, Viral

Identifiers

PMID25294827
PMCPMC4231733
OpenAlexW2130354574

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.