Evidence map›Paper›PMID 36677537›Full record

ArticleMolecules (Basel, Switzerland)2023

How the Structure of Per- and Polyfluoroalkyl Substances (PFAS) Influences Their Binding Potency to the Peroxisome Proliferator-Activated and Thyroid Hormone Receptors-An In Silico Screening Study.

Dominika Kowalska, Anita Sosnowska, Natalia Bulawska, Maciej Stępnik, Harrie Besselink, Peter Behnisch, Tomasz Puzyn

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

7 authors.

Dominika KowalskaQSAR Lab Ltd., Trzy Lipy 3, 80-172 Gdansk, Poland.ORCID 0000-0003-2826-5695
Anita SosnowskaQSAR Lab Ltd., Trzy Lipy 3, 80-172 Gdansk, Poland.ORCID 0000-0003-3288-4309
Natalia BulawskaQSAR Lab Ltd., Trzy Lipy 3, 80-172 Gdansk, Poland.ORCID 0000-0002-4649-5585
Maciej StępnikQSAR Lab Ltd., Trzy Lipy 3, 80-172 Gdansk, Poland.
Harrie BesselinkBioDetection Systems B.V., Science Park 406, 1098 XH Amsterdam, The Netherlands.
Peter BehnischBioDetection Systems B.V., Science Park 406, 1098 XH Amsterdam, The Netherlands.ORCID 0000-0002-0031-9463
Tomasz PuzynQSAR Lab Ltd., Trzy Lipy 3, 80-172 Gdansk, Poland.ORCID 0000-0003-0449-8339

Funding

European Union Nº101036449 (PROMISCES)
6 · The paper itself

Abstract

In this study, we investigated PFAS (per- and polyfluoroalkyl substances) binding potencies to nuclear hormone receptors (NHRs): peroxisome proliferator-activated receptors (PPARs) α, β, and γ and thyroid hormone receptors (TRs) α and β. We have simulated the docking scores of 43 perfluoroalkyl compounds and based on these data developed QSAR (Quantitative Structure-Activity Relationship) models for predicting the binding probability to five receptors. In the next step, we implemented the developed QSAR models for the screening approach of a large group of compounds (4464) from the NORMAN Database. The in silico analyses indicated that the probability of PFAS binding to the receptors depends on the chain length, the number of fluorine atoms, and the number of branches in the molecule. According to the findings, the considered PFAS group bind to the PPARα, β, and γ only with low or moderate probability, while in the case of TR α and β it is similar except that those chemicals with longer chains show a moderately high probability of binding.

Indexed as

FluorocarbonsReceptors, Thyroid HormonePeroxisome ProliferatorsQuantitative Structure-Activity RelationshipFluorocarbonsPeroxisome ProliferatorsReceptors, Thyroid Hormonebinding probabilityin silicoMLRmolecular dockingperfluoroalkyl compoundsperoxisome proliferator-activated receptorPFASQSARthyroid receptorvirtual screening

Identifiers

PMID36677537
PMCPMC9866891

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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.