Evidence map›Paper›PMID 32427252›Full record

ArticleOrganic & biomolecular chemistry2020

An intrinsic FRET sensor of protein-ligand interactions.

Patrick R Gleason, Patrick I Kelly, Dominic W Grisingher, Jeremy H Mills

Abstract read
In one paragraph

Article in Organic & biomolecular chemistry, 2020. 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. Article
  2. Article
  3. Target Engagement Assays in Early Drug Discovery.Journal of medicinal chemistry · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  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

4 authors.

Patrick R GleasonSchool of Molecular Sciences and The Biodesign Center for Molecular Design and Biomimetics, Arizona State University, Tempe, AZ 85287, USA. jeremy.mills@asu.edu.
Patrick I Kelly
Dominic W Grisingher
Jeremy H Mills

Funding

Expanding the fluorescent toolkit with non-canonical amino acidsR01GM136996 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MILLS, JEREMY · 2020 to 2023
$1.4M
NIGMS NIH HHS R01 GM136996
6 · The paper itself

Abstract

We describe an approach for the development of fluorescent sensors of metabolite binding in which a genetically encoded fluorescent non-canonical amino acid (fNCAA) containing a 7-hydroxycoumarin moiety (7-HCAA) forms a FRET pair with native tryptophan residues. Although previous studies demonstrated the potential for using 7-HCAA as an acceptor for tryptophan, this approach has not yet been explored within a single protein containing multiple tryptophan residues. A structure-based analysis of a hexokinase enzyme with multiple native tryptophan residues identified glutamate 50 as a potential site of 7-HCAA incorporation; Glu50 moves closer to the native tryptophans upon substrate binding. Substitution of 7-HCAA at residue 50 led to an increase in FRET efficiency in the presence of the substrate; this effect was not observed in a control protein where no change in distance between 7-HCAA and the native tryptophans occurs on substrate binding. This system was then used to directly observe differences in binding affinity of the hexokinase that occur at a number of pH values. Our approach builds on previous research in that it eliminates the need for the incorporation of multiple fNCAAs or fluorescent labels within a target protein and can be used to study substrate binding with native ligands. As such, it serves to expand the versatility of FRET-based techniques.

Indexed as

Fluorescence Resonance Energy TransferAmino AcidsFluorescent DyesHexokinaseLigandsModels, MolecularMolecular ConformationUmbelliferones7-hydroxycoumarinAmino AcidsFluorescent DyesHexokinaseLigandsUmbelliferones

Identifiers

PMID32427252
PMCPMC7313717

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Registered trials

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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.