Evidence map›Paper›PMID 31186454›Full record

ArticleScientific reports2019

Dual binding mode of "bitter sugars" to their human bitter taste receptor target.

Fabrizio Fierro, Alejandro Giorgetti, Paolo Carloni, Wolfgang Meyerhof, Mercedes Alfonso-Prieto

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. pyGOMoDo: GPCRs modeling and docking with python.Bioinformatics (Oxford, England) · 2023
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  5. Fast, Accurate, and System-Specific Variable-Resolution Modeling of Proteins.Journal of chemical information and modeling · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Chemoinformatics View on Bitter Taste Receptor Agonists in Food.Journal of agricultural and food chemistry · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Intense bitterness of molecules: Machine learning for expediting drug discovery.Computational and structural biotechnology journal · 2021
    Article
  15. In Silico Molecular Study of Tryptophan Bitterness.Molecules (Basel, Switzerland) · 2020
    Article
  16. Review
  17. Article
  18. The future of bronchodilation: looking for new classes of bronchodilators.European respiratory review : an official journal of the European Respiratory Society · 2019
    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

5 authors at 3 institutions in 3 countries.

Fabrizio FierroComputational Biomedicine, Institute for Advanced Simulation IAS-5 and Institute of Neuroscience and Medicine INM-9, Forschungszentrum Jülich, Jülich, Germany.ORCID http://orcid.org/0000-0003-0319-5707
Alejandro GiorgettiComputational Biomedicine, Institute for Advanced Simulation IAS-5 and Institute of Neuroscience and Medicine INM-9, Forschungszentrum Jülich, Jülich, Germany.
Paolo CarloniComputational Biomedicine, Institute for Advanced Simulation IAS-5 and Institute of Neuroscience and Medicine INM-9, Forschungszentrum Jülich, Jülich, Germany.
Wolfgang MeyerhofCenter for Integrative Physiology and Molecular Medicine (CIPMM), Saarland University, Homburg, Germany.
Mercedes Alfonso-PrietoComputational Biomedicine, Institute for Advanced Simulation IAS-5 and Institute of Neuroscience and Medicine INM-9, Forschungszentrum Jülich, Jülich, Germany. m.alfonso-prieto@fz-juelich.de.
Forschungszentrum Jülich · DESaarland University · DEUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 25 human bitter taste receptors (hTAS2Rs) are responsible for detecting bitter molecules present in food, and they also play several physiological and pathological roles in extraoral compartments. Therefore, understanding their ligand specificity is important both for food research and for pharmacological applications. Here we provide a molecular insight into the exquisite molecular recognition of bitter β-glycopyranosides by one of the members of this receptor subclass, hTAS2R16. Most of its agonists have in common the presence of a β-glycopyranose unit along with an extremely structurally diverse aglycon moiety. This poses the question of how hTAS2R16 can recognize such a large number of "bitter sugars". By means of hybrid molecular mechanics/coarse grained molecular dynamics simulations, here we show that the three hTAS2R16 agonists salicin, arbutin and phenyl-β-D-glucopyranoside interact with the receptor through a previously unrecognized dual binding mode. Such mechanism may offer a seamless way to fit different aglycons inside the binding cavity, while maintaining the sugar bound, similar to the strategy used by several carbohydrate-binding lectins. Our prediction is validated a posteriori by comparison with mutagenesis data and also rationalizes a wealth of structure-activity relationship data. Therefore, our findings not only provide a deeper molecular characterization of the binding determinants for the three ligands studied here, but also give insights applicable to other hTAS2R16 agonists. Together with our results for other hTAS2Rs, this study paves the way to improve our overall understanding of the structural determinants of ligand specificity in bitter taste receptors.

Indexed as

Benzyl AlcoholsBinding SitesCell LineDysgeusiaGlucosidesHumansLigandsMolecular Dynamics SimulationMutagenesisReceptors, Cell SurfaceReceptors, G-Protein-CoupledStructure-Activity RelationshipSugarsTasteTaste BudsTaste PerceptionBenzyl AlcoholsGlucosidesLigandsReceptors, Cell SurfaceReceptors, G-Protein-CoupledsalicinSugarsTAS2R8 protein, humanTaste Receptors, Type 2

Identifiers

PMID31186454
PMCPMC6560132
OpenAlexW2951206539

What OpenQuestion holds

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LicenceCC BY
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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.