Evidence map›Paper›PMID 37815452›Full record

ArticleThe journal of physical chemistry. B2023

Impact of Ion-Mixing Entropy on Orientational Preferences of DNA Helices: FRET Measurements and Computer Simulations.

Clark Templeton, Ian Hamilton, Rick Russell, Ron Elber

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Clark TempletonDepartment of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0001-5247-8514
Ian HamiltonDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0002-6217-9013
Rick RussellDepartment of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, United States.
Ron ElberInstitute for Computational Engineering and Science, Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0001-7849-415X

Funding

LONG TIME DYNAMICS OF BIOMOLECULESR01GM059796 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ELBER, RON · 2000 to 2021
$5.7M
Mechanisms and Specificity of Proteins that Manipulate DNA and RNA StructureR35GM131777 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Rick Russell · 2019 to 2026
$3.2M
NIGMS NIH HHS R01 GM059796NIGMS NIH HHS R35 GM131777
6 · The paper itself

Abstract

Biological processes require DNA and RNA helices to pack together in specific interhelical orientations. While electrostatic repulsion between backbone charges is expected to be maximized when helices are in parallel alignment, such orientations are commonplace in nature. To better understand how the repulsion is overcome, we used experimental and computational approaches to investigate how the orientational preferences of DNA helices depend on the concentration and valence of mobile cations. We used Förster resonance energy transfer (FRET) to probe the relative orientations of two 24-bp helices held together via a freely rotating PEG linker. At low cation concentrations, the helices preferred more "cross"-like orientations over those closer to parallel, and this preference was reduced with increasing salt concentrations. The results were in good quantitative agreement with Poisson-Boltzmann (PB) calculations for monovalent salt (Na

Indexed as

DNAFluorescence Resonance Energy TransferCationsEntropyMolecular Dynamics SimulationNucleic Acid ConformationSodiumSodium ChlorideStatic ElectricityCationsDNASodiumSodium Chloride

Identifiers

PMID37815452
PMCPMC11341850

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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.