Evidence map›Paper›PMID 28652856›Full record

ReviewProteome science2016

Photo-affinity labeling (PAL) in chemical proteomics: a handy tool to investigate protein-protein interactions (PPIs).

Dhiraj P Murale, Seong Cheol Hong, Md Mamunul Haque, Jun-Seok Lee

Abstract readReview
In one paragraph

Review in Proteome science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Review
  2. Article
  3. Facile Synthesis of H-L-Photo-Lysine and Its Genetic Incorporation Into Proteins.Chembiochem : a European journal of chemical biology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Methods for the Investigation of Protein-Ligands Interactions.Advances in experimental medicine and biology · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Cancers · 2025
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Proximitomics by Reactive Species.ACS central science · 2024
    Review
  20. Review

18 more citing papers are in PubMed but not listed here.

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

4 authors.

Dhiraj P MuraleMolecular Recognition Research Center, Korea Institute of Science and Technology, 39-1 Hawolgok-dong, Seoul, 136-791 Republic of Korea.
Seong Cheol HongMolecular Recognition Research Center, Korea Institute of Science and Technology, 39-1 Hawolgok-dong, Seoul, 136-791 Republic of Korea.
Md Mamunul HaqueMolecular Recognition Research Center, Korea Institute of Science and Technology, 39-1 Hawolgok-dong, Seoul, 136-791 Republic of Korea.
Jun-Seok LeeMolecular Recognition Research Center, Korea Institute of Science and Technology, 39-1 Hawolgok-dong, Seoul, 136-791 Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions (PPIs) trigger a wide range of biological signaling pathways that are crucial for biomedical research and drug discovery. Various techniques have been used to study specific proteins, including affinity chromatography, activity-based probes, affinity-based probes and photo-affinity labeling (PAL). PAL has become one of the most powerful strategies to study PPIs. Traditional photocrosslinkers are used in PAL, including benzophenone, aryl azide, and diazirine. Upon photoirradiation, these photocrosslinkers (Pls) generate highly reactive species that react with adjacent molecules, resulting in a direct covalent modification. This review introduces recent examples of chemical proteomics study using PAL for PPIs.

Indexed as

Aryl azideBenzophenoneDiazirinePhoto-affinity probeProtein-protein interactionQuantitative proteomics

Identifiers

PMID28652856
PMCPMC5483283

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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.