Evidence map›Paper›PMID 37127957›Full record

ReviewNature reviews. Chemistry2020

Fluorescent amino acids as versatile building blocks for chemical biology.

Zhiming Cheng, Erkin Kuru, Amit Sachdeva, Marc Vendrell

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2020. 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
10.2field-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

78 citing papers in PubMed, 184 citations in OpenAlex.

  1. 1,4-Dihydropyrrolo[3,2-Organic chemistry frontiers : an international journal of organic chemistry · 2026
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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 at 3 institutions in 2 countries.

Zhiming ChengCentre for Inflammation Research, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-7438-7231
Erkin KuruDepartment of Genetics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2356-0858
Amit SachdevaSchool of Chemistry, University of East Anglia, Norwich, UK.
Marc VendrellCentre for Inflammation Research, University of Edinburgh, Edinburgh, UK. marc.vendrell@ed.ac.uk.ORCID http://orcid.org/0000-0002-5392-9740
Centre for Inflammation Research · GBHarvard University · USUniversity of East Anglia · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorophores have transformed the way we study biological systems, enabling non-invasive studies in cells and intact organisms, which increase our understanding of complex processes at the molecular level. Fluorescent amino acids have become an essential chemical tool because they can be used to construct fluorescent macromolecules, such as peptides and proteins, without disrupting their native biomolecular properties. Fluorescent and fluorogenic amino acids with unique photophysical properties have been designed for tracking protein-protein interactions in situ or imaging nanoscopic events in real time with high spatial resolution. In this Review, we discuss advances in the design and synthesis of fluorescent amino acids and how they have contributed to the field of chemical biology in the past 10 years. Important areas of research that we review include novel methodologies to synthesize building blocks with tunable spectral properties, their integration into peptide and protein scaffolds using site-specific genetic encoding and bioorthogonal approaches, and their application to design novel artificial proteins, as well as to investigate biological processes in cells by means of optical imaging.

Identifiers

PMID37127957
OpenAlexW3024647844

What OpenQuestion holds

Textmetadata
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.