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QSAR Model Development to predict PPARα activation by PFAS using human in vitro data

Authors: Alker, Wiebke; Tsiros, Periklis; Buhrke, Thorsten; Sarimveis, Haralambos; Braeuning, Albert;

QSAR Model Development to predict PPARα activation by PFAS using human in vitro data

Abstract

Per- and polyfluoroalkyl substances (PFAS) are man-made chemicals, being used in almost all industry branches and many consumer products. The use of many legacy PFAS is being reduced due to their high persistence and hazardous effects. Therefore, novel PFAS are increasingly used for numerous industrial applications, whereas at the same time there is no or only few data on their toxicity. Due to the large number of PFAS, it is impossible to perform hazard characterization on all PFAS based on experimental data. Here in silico models are a helpful tool to obtain hazard insights and to prioritize experiments accordingly. The nuclear receptor PPARα plays an essential role in lipid metabolism and is being activated by fatty acids. However, it has also been shown to be activated by many PFAS.

Keywords

PFAS, PPARα

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green