Evidence map›Paper›PMID 38422483›Full record

ArticleEnvironmental science & technology2024

Prediction of the Interactions of a Large Number of Per- and Poly-Fluoroalkyl Substances with Ten Nuclear Receptors.

Ettayapuram Ramaprasad Azhagiya Singam, Kathleen A Durkin, Michele A La Merrill, J David Furlow, Jen-Chywan Wang, Martyn T Smith

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Adsorption of Forever Chemical Pollutants: The Physical Chemistry of PFAS Near Surfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

6 authors.

Ettayapuram Ramaprasad Azhagiya SingamMolecular Graphics and Computation Facility, College of Chemistry, University of California, Berkeley, California 94720, United States.ORCID 0000-0003-4978-286X
Kathleen A DurkinMolecular Graphics and Computation Facility, College of Chemistry, University of California, Berkeley, California 94720, United States.ORCID 0000-0003-1282-6101
Michele A La MerrillDepartment of Environmental Toxicology, University of California, Davis, California 95616, United States.ORCID 0000-0002-5720-5862
J David FurlowDepartment of Neurobiology, Physiology and Behavior, University of California, Davis California 95616, United States.
Jen-Chywan WangDepartment of Nutritional Sciences and Toxicology, University of California, Berkeley, California 94720, United States.
Martyn T SmithDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, California 94720, United States.ORCID 0000-0003-1451-6377

Funding

GPU Computing Cluster for Transformative Public Health driven Molecular ScienceS10OD034382 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI DURKIN, KATHLEEN A · 2023 to 2023
$491k
NIH HHS S10 OD034382
6 · The paper itself

Abstract

Per- and poly-fluoroalkyl substances (PFASs) are persistent, toxic chemicals that pose significant hazards to human health and the environment. Screening large numbers of chemicals for their ability to act as endocrine disruptors by modulating the activity of nuclear receptors (NRs) is challenging because of the time and cost of in vitro and in vivo experiments. For this reason, we need computational approaches to screen these chemicals and quickly prioritize them for further testing. Here, we utilized molecular modeling and machine-learning predictions to identify potential interactions between 4545 PFASs with ten different NRs. The results show that some PFASs can bind strongly to several receptors. Further, PFASs that bind to different receptors can have very different structures spread throughout the chemical space. Biological validation of these in silico findings should be a high priority.

Indexed as

Endocrine DisruptorsFluorocarbonsHumansReceptors, Cytoplasmic and NuclearEndocrine DisruptorsFluorocarbonsReceptors, Cytoplasmic and Nuclearandrogen receptor PPARendocrine disruptionestrogen receptorPFASs

Identifiers

PMID38422483
PMCPMC10938639

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.