Evidence map›Paper›PMID 25686004›Full record

ReviewFuture medicinal chemistry2015

Photoaffinity labeling in target- and binding-site identification.

Ewan Smith, Ian Collins

Open access · greenAbstract readReview
In one paragraph

Review in Future medicinal chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed
13.2field-weighted citation impact, top 1% 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

133 citing papers in PubMed, 341 citations in OpenAlex.

  1. Review
  2. Article
  3. Chemical Biology 2025: Highlights From the Ch/Bi145 Course at Caltech.Chembiochem : a European journal of chemical biology · 2026
    Review
  4. Article
  5. Article
  6. Peptide modificationChemical science · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Methods for the Investigation of Protein-Ligands Interactions.Advances in experimental medicine and biology · 2026
    Review
  12. Review
  13. Discovery of Functionalized 1Journal of medicinal chemistry · 2025
    Article
  14. The Versatility of Diazirines: Properties, Synthetic and Modern Applications.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Target Agnostic Photoaffinity Labelling by Sulfonylhydrazones.Angewandte Chemie (International ed. in English) · 2025
    Article
  20. Article

73 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

2 authors at 1 institution in 1 country.

Ewan SmithCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, London, UK.
Ian Collins
Institute of Cancer Research · GB

Funding

Cancer Research UK 11566Wellcome Trust 097096
6 · The paper itself

Abstract

Photoaffinity labeling (PAL) using a chemical probe to covalently bind its target in response to activation by light has become a frequently used tool in drug discovery for identifying new drug targets and molecular interactions, and for probing the location and structure of binding sites. Methods to identify the specific target proteins of hit molecules from phenotypic screens are highly valuable in early drug discovery. In this review, we summarize the principles of PAL including probe design and experimental techniques for in vitro and live cell investigations. We emphasize the need to optimize and validate probes and highlight examples of the successful application of PAL across multiple disease areas.

Indexed as

Photoaffinity LabelsAnimalsBinding SitesDrug DiscoveryHumansMolecular ProbesProteinsMolecular ProbesPhotoaffinity LabelsProteins

Identifiers

PMID25686004
PMCPMC4413435
OpenAlexW2098539276

What OpenQuestion holds

Textmetadata
LicenceTDM
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.