Evidence map›Paper›PMID 41149752›Full record

ArticleJournal of xenobiotics2025

QSAR Models for Predicting Oral Bioavailability and Volume of Distribution and Their Application in Mapping the TK Space of Endocrine Disruptors.

Guillaume Ollitrault, Marco Marzo, Alessandra Roncaglioni, Emilio Benfenati, Olivier Taboureau, Enrico Mombelli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of xenobiotics, 2025. 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.

Guillaume OllitraultInserm U1133, CNRS UMR 8251, Université de Paris Cité, 75013 Paris, France.ORCID 0009-0008-5119-9044
Marco MarzoLaboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milano, Italy.
Alessandra RoncaglioniLaboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milano, Italy.
Emilio BenfenatiLaboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milano, Italy.ORCID 0000-0002-3976-5989
Olivier TaboureauInserm U1133, CNRS UMR 8251, Université de Paris Cité, 75013 Paris, France.ORCID 0000-0001-7081-2491
Enrico MombelliInstitut National de l'Environnement Industriel et des Risques (INERIS), 60550 Verneuil en Halatte, France.

Funding

Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail ANSES-21-EST-131
6 · The paper itself

Abstract

Toxicokinetic (TK) properties are essential in the framework of chemical risk assessment and drug discovery. Specifically, a TK profile provides information about the fate of chemicals in the human body. In this context, Quantitative Structure-Activity Relationship (QSAR) models are convenient computational tools for predicting TK properties. Here, we developed QSAR models to predict two TK properties: oral bioavailability and volume of distribution at steady state (VD

Indexed as

endocrine-disrupting chemicalsoral bioavailabilityQSARToxicokineticsvolume of distribution

Identifiers

PMID41149752
PMCPMC12565085

What OpenQuestion holds

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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.