Evidence map›Paper›PMID 33483745›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2021

Integrative Computational Approaches to Inform Relative Bioaccumulation Potential of Per- and Polyfluoroalkyl Substances Across Species.

Weixiao Cheng, Jon A Doering, Carlie LaLone, Carla Ng

Open access · greenAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
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  5. An in vitro and machine learning framework for quantifying serum albumin binding of per- and polyfluoroalkyl substances.Toxicological sciences : an official journal of the Society of Toxicology · 2025
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  20. News Feature: How "forever chemicals" might impair the immune system.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

4 authors at 2 institutions in 1 country.

Weixiao ChengCivil and Environmental Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA.
Jon A DoeringNational Research Council, U.S. Environmental Protection Agency, Duluth, Minnesota 55804, USA.
Carlie LaLoneGreat Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Duluth, Minnesota 55804, USA.
Carla NgCivil and Environmental Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA.
Environmental Protection Agency · USUniversity of Pittsburgh · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Predictive toxicology is increasingly reliant on innovative computational methods to address pressing questions in chemicals assessment. Of importance is the evaluation of contaminant impact differences across species to inform ecosystem protection and identify appropriate model species for human toxicity studies. Here we evaluated 2 complementary tools to predict cross-species differences in binding affinity between per- and polyfluoroalkyl substances (PFAS) and the liver fatty acid-binding protein (LFABP): the Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool and molecular dynamics (MD). SeqAPASS determined that the structure of human LFABP, a key determinant of PFAS bioaccumulation, was conserved in the majority of vertebrate species, indicating these species would have similar PFAS bioaccumulation potentials. Level 3 SeqAPASS evaluation identified several potentially destabilizing amino acid differences across species, which were generally supported by DUET stability change predictions. Nine single-residue mutations and 7 whole species sequences were selected for MD evaluation. One mutation (F50V for PFNA) showed a statistically significant difference with stronger affinity than wild-type human LFABP. Predicted binding affinities for 9 different PFAS across 7 species showed human, rat, chicken, and rainbow trout had similar binding affinities to one another for each PFAS, whereas Japanese medaka and fathead minnow had significantly weaker LFABP-binding affinity for some PFAS. Based on these analyses, the combined use of SeqAPASS and MD provides rapid screening for potential species differences with deeper structural insight. This approach can be easily extended to other important biological receptors and potential ligands.

Indexed as

FluorocarbonsAnimalsBioaccumulationEcosystemHumansRatsSequence AlignmentFluorocarbonsmolecular modelingPFASSeqAPASSspecies differences

Identifiers

PMID33483745
PMCPMC8283689
OpenAlexW3125105032

What OpenQuestion holds

Textmetadata
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.