Evidence map›Paper›PMID 31310428›Full record

ArticleChembiochem : a European journal of chemical biology2020

Nucleotide Binding Modes in a Motor Protein Revealed by

Thomas Wiegand, Maarten Schledorn, Alexander A Malär, Riccardo Cadalbert, Alexander Däpp, Laurent Terradot, Beat H Meier, Anja Böckmann

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  11. Nucleotide Binding Modes in a Motor Protein Revealed byChembiochem : a European journal of chemical biology · 2020
    Article
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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

8 authors.

Thomas WiegandPhysical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 1-5/10, 8093, Zürich, Switzerland.ORCID 0000-0003-3655-6150
Maarten SchledornPhysical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 1-5/10, 8093, Zürich, Switzerland.
Alexander A MalärPhysical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 1-5/10, 8093, Zürich, Switzerland.
Riccardo CadalbertPhysical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 1-5/10, 8093, Zürich, Switzerland.
Alexander DäppPhysical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 1-5/10, 8093, Zürich, Switzerland.
Laurent TerradotPhysical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 1-5/10, 8093, Zürich, Switzerland.ORCID 0000-0003-4279-9167
Beat H MeierPhysical Chemistry, ETH Zurich, Vladimir-Prelog-Weg 1-5/10, 8093, Zürich, Switzerland.ORCID 0000-0002-9107-4464
Anja BöckmannMolecular Microbiology and Structural Biochemistry, Labex Ecofect, UMR 5086 CNRS/Université de Lyon, 7 Passage du vercors, 69367, Lyon, France.ORCID 0000-0001-8149-7941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-nucleic acid interactions play important roles not only in energy-providing reactions, such as ATP hydrolysis, but also in reading, extending, packaging, or repairing genomes. Although they can often be analyzed in detail with X-ray crystallography, complementary methods are needed to visualize them in complexes, which are not crystalline. Here, we show how solid-state NMR spectroscopy can detect and classify protein-nucleic interactions through site-specific

Indexed as

Nuclear Magnetic Resonance, BiomolecularCrystallography, X-RayDnaB HelicasesHydrogen BondingModels, MolecularNucleotidesPhosphorus IsotopesProtonsDnaB HelicasesNucleotidesPhosphorus IsotopesProtonsDnaB helicasesfast MAShydrogen bondsnucleotide bindingsolid-state NMR spectroscopy

Identifiers

PMID31310428
PMCPMC7318265

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.