Evidence map›Paper›PMID 42440246›Full record

ArticleCell biochemistry and biophysics2026

Evaluation of Bronchial Receptors with Concentration-Response Curves, Bitterness Assessment, and Computer Simulations.

Mohamed Bouzid, Houda Smati, Yosra Ben Torkia, Sonia Bayouth, Abdellatif Sakly, Abdelmottaleb Ben Lamine

Abstract read
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In one paragraph

Article in Cell biochemistry and biophysics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mohamed BouzidCRMN, Centre for Research on Microelectronics and Nanotechnology of Sousse, NANOMISENE, LR16CRMN01, Code Postal 4054, Sousse, Tunisia. mohamedbpi@gmail.com.
Houda SmatiLaboratory of Quantum and Statistical Physics, Faculty of Sciences of Monastir, Monastir University, LR18ES18, Monastir, Tunisia.
Yosra Ben TorkiaLaboratory of Quantum and Statistical Physics, Faculty of Sciences of Monastir, Monastir University, LR18ES18, Monastir, Tunisia.
Sonia BayouthLaboratory of Quantum and Statistical Physics, Faculty of Sciences of Monastir, Monastir University, LR18ES18, Monastir, Tunisia.
Abdellatif SaklyLaboratory of Quantum and Statistical Physics, Faculty of Sciences of Monastir, Monastir University, LR18ES18, Monastir, Tunisia.
Abdelmottaleb Ben LamineLaboratory of Quantum and Statistical Physics, Faculty of Sciences of Monastir, Monastir University, LR18ES18, Monastir, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to explore the human-like taste response of three bitter molecules (chloroquine, denatonium, and saccharin) on the human bronchi receptor T2R agonist using a statistical physics approach. By fitting the concentration-taste response curves, we estimate three model parameters (R

Indexed as

BronchiReceptors, G-Protein-CoupledTasteBinding SitesChloroquineComputer SimulationHumansMolecular Docking SimulationProtein BindingSaccharinTaste Receptors, Type 2ChloroquineReceptors, G-Protein-CoupledSaccharinTaste Receptors, Type 2ELF, LOL and RDGHOMO and LUMOMolecular dockingStatistical physics model

Identifiers

What OpenQuestion holds

Textmetadata
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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.