Evidence map›Paper›PMID 19482035›Full record

ArticleJournal of molecular biology2009

Molecular simulation studies of monovalent counterion-mediated interactions in a model RNA kissing loop.

Alan A Chen, David E Draper, Rohit V Pappu

Abstract read
In one paragraph

Article in Journal of molecular biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  15. Predicting Ion Effects in an RNA Conformational Equilibrium.The journal of physical chemistry. B · 2017
    Article
  16. Article
  17. Article
  18. Review
  19. A New Method to Predict Ion Effects in RNA Folding.Methods in molecular biology (Clifton, N.J.) · 2017
    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.

Alan A ChenMolecular Biophysics Program and Center for Computational Biology, Washington University School of Medicine, St. Louis, MO 63130, USA.
David E Draper
Rohit V Pappu

Funding

FACTORS STABILIZING RNA STRUCTURESR01GM058545 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI DRAPER, DAVID E. · 1999 to 2014
$2.8M
NIGMS NIH HHS R01 GM058545
6 · The paper itself

Abstract

A kissing loop is a highly stable complex formed by loop-loop base-pairing between two RNA hairpins. This common structural motif is utilized in a wide variety of RNA-mediated processes, including antisense recognition, substrate recognition in riboswitches, and viral replication. Recent work has shown that the Tar-Tar(*) complex, an archetypal kissing loop, can form without Mg(2+), so long as high concentrations of alkali chloride salts are present. Interestingly, the stability of the complex is found to decrease with increasing cation size. In this work, we used molecular simulations to develop a molecular-level understanding of the origins of the observed counterion specificity. The ionic atmosphere of the Tar-Tar(*) complex was examined in the presence of 800 mm (where m denotes molality) NaCl, KCl, or CsCl. We used spatial free-energy density profiles to analyze differences in counterion accumulation at different spatial extents from the RNA molecule. We found that the lowest free-energy levels, which are situated in the vicinity of the loop-loop interface, can accommodate roughly two counterions, irrespective of counterion type. However, as we moved into higher free-energy levels, which are farther from the loop-loop interface, we observed increased differences in the numbers of accumulated counterions, with this number being largest for Na(+) and smallest for Cs(+). We analyzed the source of these differences and were able to attribute these to two distinct features: The extent of partial dehydration varies based on cation type; the smaller the cation, the greater the degree of dehydration. While smaller ions bind their first-hydration-shell water molecules more tightly than larger ions, they are also able to shed these water molecules for stronger electrostatic interactions with the RNA molecule. Secondly, we observed a distinct asymmetry in the numbers of accumulated cations around each hairpin in the Tar-Tar(*) complex. We were able to ascribe this asymmetry to the presence of a guanine tract in the Tar hairpin, which facilitates partial dehydration of the counterions. However, the smaller ions compensate for this asymmetry by forming a belt around the loop-loop interface in intermediate free-energy levels. As a result, the degree of asymmetry in counterion accumulation around individual hairpins shows an inverse correlation with the experimentally observed cation specificity for the stability of Tar-Tar(*) (i.e., the smaller the asymmetry, the greater the experimentally observed stability). This in turn provides a plausible explanation for why the smaller cations help stabilize the Tar-Tar(*) complex better than the larger cations. These findings suggest that the specific sequence and structural features of the Tar-Tar(*) complex may be the source of the experimentally observed cation specificity in Tar-Tar(*) stability. Our results lead to testable predictions for how changes in sequence might alter the observed counterion specificity in kissing loop stability.

Indexed as

Base PairingCations, MonovalentComputer SimulationMetals, AlkaliModels, MolecularNucleic Acid ConformationRNARNA StabilityStatic ElectricityThermodynamicsCations, MonovalentMetals, AlkaliRNA

Identifiers

PMID19482035
PMCPMC3057057

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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.