Evidence map›Paper›PMID 26451676›Full record

ArticleBiochemistry2015

Nuclear Magnetic Resonance-Assisted Prediction of Secondary Structure for RNA: Incorporation of Direction-Dependent Chemical Shift Constraints.

Jonathan L Chen, Stanislav Bellaousov, Jason D Tubbs, Scott D Kennedy, Michael J Lopez, David H Mathews, Douglas H Turner

Open access · greenAbstract read
In one paragraph

Article in Biochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Physics-based all-atom modeling of RNA energetics and structure.Wiley interdisciplinary reviews. RNA · 2017
    Review
  5. Article
  6. 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

7 authors at 1 institution in 1 country.

Jonathan L ChenDepartment of Chemistry, University of Rochester , Rochester, New York 14627, United States.
Stanislav BellaousovDepartment of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry , Rochester, New York 14642, United States.
Jason D TubbsDepartment of Chemistry, University of Rochester , Rochester, New York 14627, United States.
Scott D KennedyDepartment of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry , Rochester, New York 14642, United States.
Michael J LopezDepartment of Chemistry, University of Rochester , Rochester, New York 14627, United States.
David H MathewsDepartment of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry , Rochester, New York 14642, United States.
Douglas H TurnerDepartment of Chemistry, University of Rochester , Rochester, New York 14627, United States.
University of Rochester · US

Funding

KINETIC AND SPECTROSCOPIC STUDIES OF NUCLEIC ACIDSR01GM022939 · NIGMS · UNIVERSITY OF ROCHESTER · PI TURNER, DOUGLAS H. · 1985 to 2016
$7.6M
Supporting RNAstructure: Software for RNA AnalysisR01GM076485 · NIGMS · UNIVERSITY OF ROCHESTER · PI MATHEWS, DAVID H. · 2006 to 2021
$4.7M
NIGMS NIH HHS GM076485NIGMS NIH HHS GM22939NIGMS NIH HHS R01 GM022939NIGMS NIH HHS R01 GM076485
6 · The paper itself

Abstract

Knowledge of RNA structure is necessary to determine structure-function relationships and to facilitate design of potential therapeutics. RNA secondary structure prediction can be improved by applying constraints from nuclear magnetic resonance (NMR) experiments to a dynamic programming algorithm. Imino proton walks from NOESY spectra reveal double-stranded regions. Chemical shifts of protons in GH1, UH3, and UH5 of GU pairs, UH3, UH5, and AH2 of AU pairs, and GH1 of GC pairs were analyzed to identify constraints for the 5' to 3' directionality of base pairs in helices. The 5' to 3' directionality constraints were incorporated into an NMR-assisted prediction of secondary structure (NAPSS-CS) program. When it was tested on 18 structures, including nine pseudoknots, the sensitivity and positive predictive value were improved relative to those of three unrestrained programs. The prediction accuracy for the pseudoknots improved the most. The program also facilitates assignment of chemical shifts to individual nucleotides, a necessary step for determining three-dimensional structure.

Indexed as

AlgorithmsMagnetic Resonance ImagingNucleic Acid ConformationModels, MolecularMoloney murine leukemia virusNuclear Magnetic Resonance, BiomolecularPredictive Value of TestsProtonsRNARNA, ViralSensitivity and SpecificityStructure-Activity RelationshipProtonsRNARNA, Viral

Identifiers

PMID26451676
PMCPMC4666457
OpenAlexW2216626588

What OpenQuestion holds

Textmetadata
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.