Evidence map›Paper›PMID 29808436›Full record

ReviewJournal of biomolecular NMR2018

Late metabolic precursors for selective aromatic residue labeling.

Julia Schörghuber, Leonhard Geist, Gerald Platzer, Michael Feichtinger, Marilena Bisaccia, Lukas Scheibelberger, Frederik Weber, Robert Konrat, Roman J Lichtenecker

Abstract readReview
In one paragraph

Review in Journal of biomolecular NMR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Leveraging relaxation-optimizedNature chemistry · 2025
    Article
  2. Review
  3. Expanding the Toolset of Biomolecular NMR with Efficient and Cost-EffectiveChemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  4. Synthesis of aChembiochem : a European journal of chemical biology · 2025
    Article
  5. Article
  6. Article
  7. Improved spectral resolution of [Journal of biomolecular NMR · 2023
    Article
  8. Cell-free synthesis of proteins with selectivelyMagnetic resonance (Gottingen, Germany) · 2023
    Article
  9. Review
  10. Article
  11. Journal of biomolecular NMR · 2021
    Article
  12. Article
  13. Article
  14. Site-selectiveJournal of biomolecular NMR · 2019
    Article
  15. Article
  16. 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

9 authors.

Julia SchörghuberInstitute of Organic Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria.
Leonhard GeistChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max F. Perutz Laboratories, University of Vienna, Dr-Bohr-Gasse 9, 1030, Vienna, Austria.
Gerald PlatzerChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max F. Perutz Laboratories, University of Vienna, Dr-Bohr-Gasse 9, 1030, Vienna, Austria.
Michael FeichtingerChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max F. Perutz Laboratories, University of Vienna, Dr-Bohr-Gasse 9, 1030, Vienna, Austria.
Marilena BisacciaInstitute of Organic Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria.
Lukas ScheibelbergerInstitute of Organic Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria.
Frederik WeberInstitute of Organic Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria.
Robert KonratChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max F. Perutz Laboratories, University of Vienna, Dr-Bohr-Gasse 9, 1030, Vienna, Austria.
Roman J LichteneckerInstitute of Organic Chemistry, University of Vienna, Währinger Str. 38, 1090, Vienna, Austria. roman.lichtenecker@univie.ac.at.

Funding

Universität Wien uni:docs
6 · The paper itself

Abstract

In recent years, we developed a toolbox of heavy isotope containing compounds, which serve as metabolic amino acid precursors in the E. coli-based overexpression of aromatic residue labeled proteins. Our labeling techniques show excellent results both in terms of selectivity and isotope incorporation levels. They are additionally distinguished by low sample production costs and meet the economic demands to further implement protein NMR spectroscopy as a routinely used method in drug development processes. Different isotopologues allow for the assembly of optimized protein samples, which fulfill the requirements of various NMR experiments to elucidate protein structures, analyze conformational dynamics, or probe interaction surfaces. In the present article, we want to summarize the precursors we developed so far and give examples of their special value in the probing of protein-ligand interaction.

Indexed as

Amino Acids, AromaticAnimalsEscherichia coliHumansIsotope LabelingLigandsMolecular ProbesNuclear Magnetic Resonance, BiomolecularProteinsAmino Acids, AromaticLigandsMolecular ProbesProteinsAromatic residuesChemical shift mappingIntrinsically disordered proteinsLigand induced cross-correlationProtein labelingProtein overexpression

Identifiers

PMID29808436
PMCPMC6096522

What OpenQuestion holds

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LicenceCC BY
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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.