Evidence map›Paper›PMID 29127559›Full record

ArticleJournal of biomolecular NMR2017

A

Harold W Mackenzie, D Flemming Hansen

Abstract read
In one paragraph

Article in Journal of biomolecular NMR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Synthesis of SelectivelyChemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  3. Article
  4. Chemical reviews · 2022
    Review
  5. Review
  6. Article
  7. Nucleotide Binding Modes in a Motor Protein Revealed byChembiochem : a European journal of chemical biology · 2020
    Article
  8. More than Proton Detection-New Avenues for NMR Spectroscopy of RNA.Chemistry (Weinheim an der Bergstrasse, Germany) · 2020
    Review
  9. NovelAngewandte Chemie (International ed. in English) · 2019
    Article
  10. Article
  11. The pKProtein science : a publication of the Protein Society · 2019
    Article
  12. Arginine Side-Chain Hydrogen Exchange: Quantifying Arginine Side-Chain Interactions in Solution.Chemphyschem : a European journal of chemical physics and physical chemistry · 2019
    Article
  13. Measuring the signs of the methylJournal of biomolecular NMR · 2018
    Article
  14. 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

2 authors.

Harold W MackenzieInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, WC1E 6BT, UK.ORCID http://orcid.org/0000-0001-7575-2790
D Flemming HansenInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, WC1E 6BT, UK. d.hansen@ucl.ac.uk.ORCID http://orcid.org/0000-0003-0891-220X

Funding

Leverhulme Trust RPG-2016-268Medical Research Council MC_U117533887Wellcome TrustWellcome Trust 101569/z/13/z
6 · The paper itself

Abstract

Arginine side-chains are often key for enzyme catalysis, protein-ligand and protein-protein interactions. The importance of arginine stems from the ability of the terminal guanidinium group to form many key interactions, such as hydrogen bonds and salt bridges, as well as its perpetual positive charge. We present here an arginine

Indexed as

ArginineCarbon IsotopesGuanidineMuramidaseMutation, MissenseNitrogen IsotopesNuclear Magnetic Resonance, BiomolecularPeptide FragmentsArginineCarbon-13Carbon IsotopesGuanidineMuramidaseNitrogen-15Nitrogen IsotopesPeptide FragmentsT4 lysozyme (11-36)13-Carbon-detected NMRArginine side-chainsConformational exchangeDouble-quantum coherenceIsotope shifts

Identifiers

PMID29127559
PMCPMC5711973

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.