title: QSAR prediction of the competitive interaction of emerging halogenated pollutants with human transthyretin.
abstract: The determination of the potential endocrine disruption (ED) activity of chemicals such as poly/perfluorinated compounds (PFCs) and brominated flame retardants (BFRs) is still hindered by a limited availability of experimental data. Quantitative structure-activity relationship (QSAR) strategies can be applied to fill this data gap, help in the characterization of the ED potential, and screen PFCs and BFRs with a hazardous toxicological profile. This paper proposes the modelling of T4-TTR (thyroxin-transthyretin) competing potency and relative binding potency toward T4 (logT4-REP) of PFCs and BFRs by regression and classification QSAR models. This study is a follow up of a former work, which analysed separately the interaction of BFRs and PFCs with the carrier TTR. The new results demonstrate the possibility of developing robust and predictive QSARs, which include both BFRs and PFCs in the training set, obtaining larger applicability domains than the existing models developed separately for BFRs and PFCs. The selection of modelling molecular descriptors confirms the importance of structural features, such as the aromatic OH or the molecular length, to increase the binding of the studied chemicals to TTR. Additionally, the need of experimental tests for some chemicals, and in particular for some of the BFRs, is highlighted.
authors.affiliation: QSAR Research Unit in Environmental Chemistry and Ecotoxicology, Department of Theoretical and Applied Sciences, University of Insubria, Varese, Italy. ester.papa@uninsubria.it
authors.forename: E
authors.initials: E
authors.lastname: Papa
authors.forename: S
authors.initials: S
authors.lastname: Kovarich
authors.forename: P
authors.initials: P
authors.lastname: Gramatica
mesh_terms: D003198:Computer Simulation; D004785:Environmental Pollutants / Q000633:toxicity*; D006801:Humans; D006846:Hydrocarbons, Halogenated / Q000633:toxicity*; D015233:Models, Statistical; D011228:Prealbumin / Q000037:antagonists & inhibitors*; D021281:Quantitative Structure-Activity Relationship
chemical_list: D004785:Environmental Pollutants; D006846:Hydrocarbons, Halogenated; D011228:Prealbumin