Evidence map›Paper›PMID 19669620›Full record

ReviewJournal of biomolecular NMR2010

Site-specific labeling of proteins with NMR-active unnatural amino acids.

David H Jones, Susan E Cellitti, Xueshi Hao, Qiong Zhang, Michael Jahnz, Daniel Summerer, Peter G Schultz, Tetsuo Uno, Bernhard H Geierstanger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of biomolecular NMR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 94 citations in OpenAlex.

  1. Review
  2. Review
  3. GPCR structural characterization by NMR spectroscopy in solution.Acta biochimica et biophysica Sinica · 2022
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Paramagnetic NMR in drug discovery.Journal of biomolecular NMR · 2020
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Therapeutic applications of an expanded genetic code.Chembiochem : a European journal of chemical biology · 2014
    Review
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 at 2 institutions in 1 country.

David H JonesGenomics Institute of the Novartis Research Foundation, San Diego, CA 92121-1125, USA.
Susan E Cellitti
Xueshi Hao
Qiong Zhang
Michael Jahnz
Daniel Summerer
Peter G Schultz
Tetsuo Uno
Bernhard H Geierstanger
Genomics Institute of the Novartis Research Foundation · USScripps Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of amino acids other than the canonical amino acids can now be easily incorporated in vivo into proteins at genetically encoded positions. The technology requires an orthogonal tRNA/aminoacyl-tRNA synthetase pair specific for the unnatural amino acid that is added to the media while a TAG amber or frame shift codon specifies the incorporation site in the protein to be studied. These unnatural amino acids can be isotopically labeled and provide unique opportunities for site-specific labeling of proteins for NMR studies. In this perspective, we discuss these opportunities including new photocaged unnatural amino acids, outline usage of metal chelating and spin-labeled unnatural amino acids and expand the approach to in-cell NMR experiments.

Indexed as

Protein ConformationAmino AcidsCarbon IsotopesCodon, TerminatorFluorineIsotope LabelingNitrogen IsotopesNuclear Magnetic Resonance, BiomolecularProkaryotic CellsProteinsSpin LabelsAmino AcidsCarbon IsotopesCodon, TerminatorFluorineNitrogen IsotopesProteinsSpin Labels

Identifiers

PMID19669620
OpenAlexW1982121895

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.