Evidence map›Paper›PMID 35547988›Full record

ReviewRSC advances2018

Current advances of carbene-mediated photoaffinity labeling in medicinal chemistry.

Sha-Sha Ge, Biao Chen, Yuan-Yuan Wu, Qing-Su Long, Yong-Liang Zhao, Pei-Yi Wang, Song Yang

Open access · goldAbstract readReview
In one paragraph

Review in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 86 citations in OpenAlex.

  1. Precision Chemistry for Protein Lysine Modification.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
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  15. Article
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  17. Photocrosslinkable natural polymers in tissue engineering.Frontiers in bioengineering and biotechnology · 2023
    Review
  18. Article
  19. Small molecule photocatalysis enables drug target identification via energy transfer.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  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

7 authors at 2 institutions in 2 countries.

Sha-Sha GeState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University Guiyang 550025 China jhzx.msm@gmail.com +86-851-8829-2170 +86-851-8829-2171.
Biao ChenState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University Guiyang 550025 China jhzx.msm@gmail.com +86-851-8829-2170 +86-851-8829-2171.
Yuan-Yuan WuState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University Guiyang 550025 China jhzx.msm@gmail.com +86-851-8829-2170 +86-851-8829-2171.
Qing-Su LongState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University Guiyang 550025 China jhzx.msm@gmail.com +86-851-8829-2170 +86-851-8829-2171.
Yong-Liang ZhaoState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University Guiyang 550025 China jhzx.msm@gmail.com +86-851-8829-2170 +86-851-8829-2171.
Pei-Yi WangState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University Guiyang 550025 China jhzx.msm@gmail.com +86-851-8829-2170 +86-851-8829-2171.
Song YangState Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University Guiyang 550025 China jhzx.msm@gmail.com +86-851-8829-2170 +86-851-8829-2171.ORCID https://orcid.org/0000-0003-1301-3030
Guizhou University · CNEast China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoaffinity labeling (PAL) in combination with a chemical probe to covalently bind its target upon UV irradiation has demonstrated considerable promise in drug discovery for identifying new drug targets and binding sites. In particular, carbene-mediated photoaffinity labeling (cmPAL) has been widely used in drug target identification owing to its excellent photolabeling efficiency, minimal steric interference and longer excitation wavelength. Specifically, diazirines, which are among the precursors of carbenes and have higher carbene yields and greater chemical stability than diazo compounds, have proved to be valuable photolabile reagents in a diverse range of biological systems. This review highlights current advances of cmPAL in medicinal chemistry, with a focus on structures and applications for identifying small molecule-protein and macromolecule-protein interactions and ligand-gated ion channels, coupled with advances in the discovery of targets and inhibitors using carbene precursor-based biological probes developed in recent decades.

Identifiers

PMID35547988
PMCPMC9084484
OpenAlexW2888222210

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.