Evidence map›Paper›PMID 31122001›Full record

ReviewMolecules and cells2019

Site-Specific Labeling of Proteins Using Unnatural Amino Acids.

Kyung Jin Lee, Deokhee Kang, Hee-Sung Park

Abstract readReview
In one paragraph

Review in Molecules and cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Genetic Code Expansion inACS synthetic biology · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. A Cost-EffectiveBioengineering (Basel, Switzerland) · 2024
    Article
  14. Single-Molecule FRET Analyses of NMDA Receptors.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Cell-free Biosynthesis of Peptidomimetics.Biotechnology and bioprocess engineering : BBE · 2023
    Review
  20. 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

3 authors.

Kyung Jin LeeDepartment of Chemistry, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.
Deokhee KangDepartment of Chemistry, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.
Hee-Sung ParkDepartment of Chemistry, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Labeling of a protein with a specific dye or tag at defined positions is a critical step in tracing the subtle behavior of the protein and assessing its cellular function. Over the last decade, many strategies have been developed to achieve selective labeling of proteins in living cells. In particular, the site-specific unnatural amino acid (UAA) incorporation technique has gained increasing attention since it enables attachment of various organic probes to a specific position of a protein in a more precise way. In this review, we describe how the UAA incorporation technique has expanded our ability to achieve site-specific labeling and visualization of target proteins for functional analyses in live cells.

Indexed as

PhosphoserineSelenocysteineClick ChemistryFluorescent DyesGenetic CodeLysineMolecular ProbesProteinsFluorescent DyesLysineMolecular ProbesPhosphoserineProteinspyrrolysineSelenocysteinebioorthogonalclick chemistrygenetic code expansionsite-specific labelingunnatural amino acid

Identifiers

PMID31122001
PMCPMC6537655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.