Evidence map›Paper›PMID 34500797›Full record

ReviewMolecules (Basel, Switzerland)2021

Recent Advances about the Applications of Click Reaction in Chemical Proteomics.

Tingting Yao, Xiaowei Xu, Rong Huang

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
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.

Tingting YaoSchool of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan 430074, China.
Xiaowei XuState Key Laboratory of Natural Medicines, Key Lab of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China.ORCID 0000-0003-1886-2728
Rong HuangSchool of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan 430074, China.

Funding

the "Fundamental Research Funds for the Central Universities", the South-Central University for Nationalities CZQ21017
6 · The paper itself

Abstract

Despite significant advances in biological and analytical approaches, a comprehensive portrait of the proteome and its dynamic interactions and modifications remains a challenging goal. Chemical proteomics is a growing area of chemical biology that seeks to design small molecule probes to elucidate protein composition, distribution, and relevant physiological and pharmacological functions. Click chemistry focuses on the development of new combinatorial chemical methods for carbon heteroatom bond (C-X-C) synthesis, which have been utilized extensively in the field of chemical proteomics. Click reactions have various advantages including high yield, harmless by-products, and simple reaction conditions, upon which the molecular diversity can be easily and effectively obtained. This paper reviews the application of click chemistry in proteomics from four aspects: (1) activity-based protein profiling, (2) enzyme-inhibitors screening, (3) protein labeling and modifications, and (4) hybrid monolithic column in proteomic analysis.

Indexed as

Proteomicsalpha-GlucosidasesClick ChemistryCyclooxygenase 2Enzyme InhibitorsMolecular StructureN-AcetylglucosaminyltransferasesProtein KinasesProteomealpha-GlucosidasesCyclooxygenase 2Enzyme InhibitorsN-AcetylglucosaminyltransferasesO-GlcNAc transferaseProtein KinasesProteomeactivity-based protein profilingchemical proteomicsclick reactionhybrid monolithic column

Identifiers

PMID34500797
PMCPMC8434046

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.