Evidence map›Paper›PMID 26306428›Full record

ArticleJournal of the American Chemical Society2015

Modulating RNA Alignment Using Directional Dynamic Kinks: Application in Determining an Atomic-Resolution Ensemble for a Hairpin using NMR Residual Dipolar Couplings.

Loïc Salmon, George M Giambaşu, Evgenia N Nikolova, Katja Petzold, Akash Bhattacharya, David A Case, Hashim M Al-Hashimi

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

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  10. 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
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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

7 authors at 6 institutions in 2 countries.

Loïc SalmonDepartment of Molecular, Cellular, and Developmental Biology and Howard Hughes Medical Institute, University of Michigan , Ann Arbor, Michigan 48109, United States.
George M GiambaşuDepartment of Chemistry and Chemical Biology, Rutgers University , Piscataway, New Jersey 08854, United States.
Evgenia N NikolovaDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute , La Jolla, California 92037, United States.
Katja PetzoldDepartment of Medical Biochemistry and Biophysics, Karolinska Institute , SE-171 77 Stockholm, Sweden.
Akash BhattacharyaThe University of Texas Health Science Center , San Antonio, Texas 78229, United States.
David A CaseDepartment of Chemistry and Chemical Biology, Rutgers University , Piscataway, New Jersey 08854, United States.
Hashim M Al-HashimiDepartment of Biochemistry and Chemistry, Duke University School of Medicine , Durham, North Carolina 27710, United States.
Rutgers, The State University of New Jersey · USDuke University · USHoward Hughes Medical Institute · USKarolinska Institutet · SEScripps Research Institute · USThe University of Texas Health Science Center at San Antonio · 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
Role of DNA structural dynamics in mutagenesis and oncogenesisR01GM089846 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Hashim M Al-Hashimi · 2010 to 2026
$5.2M
Solution and solid structures from NMRR01GM045811 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI CASE, DAVID A · 1991 to 2016
$3.7M
Targeting HIV-1 Regulatory RNA ElementsR01AI066975 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AL-HASHIMI, HASHIM M · 2005 to 2014
$2.6M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI066975NIAID NIH HHS R01AI066975NIGMS NIH HHS P50 GM103297NIGMS NIH HHS P50GM103297NIGMS NIH HHS R01 GM045811NIGMS NIH HHS R01GM045811NIGMS NIH HHS R01 GM089846
6 · The paper itself

Abstract

Approaches that combine experimental data and computational molecular dynamics (MD) to determine atomic resolution ensembles of biomolecules require the measurement of abundant experimental data. NMR residual dipolar couplings (RDCs) carry rich dynamics information, however, difficulties in modulating overall alignment of nucleic acids have limited the ability to fully extract this information. We present a strategy for modulating RNA alignment that is based on introducing variable dynamic kinks in terminal helices. With this strategy, we measured seven sets of RDCs in a cUUCGg apical loop and used this rich data set to test the accuracy of an 0.8 μs MD simulation computed using the Amber ff10 force field as well as to determine an atomic resolution ensemble. The MD-generated ensemble quantitatively reproduces the measured RDCs, but selection of a sub-ensemble was required to satisfy the RDCs within error. The largest discrepancies between the RDC-selected and MD-generated ensembles are observed for the most flexible loop residues and backbone angles connecting the loop to the helix, with the RDC-selected ensemble resulting in more uniform dynamics. Comparison of the RDC-selected ensemble with NMR spin relaxation data suggests that the dynamics occurs on the ps-ns time scales as verified by measurements of R(1ρ) relaxation-dispersion data. The RDC-satisfying ensemble samples many conformations adopted by the hairpin in crystal structures indicating that intrinsic plasticity may play important roles in conformational adaptation. The approach presented here can be applied to test nucleic acid force fields and to characterize dynamics in diverse RNA motifs at atomic resolution.

Indexed as

Nuclear Magnetic Resonance, BiomolecularNucleic Acid ConformationRNARNA

Identifiers

PMID26306428
PMCPMC4748170
OpenAlexW2402984257

What OpenQuestion holds

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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.