| Literature DB >> 26590695 |
Jonathan Villain1, Laetitia Minguez2, Marie-Pierre Halm-Lemeille2, Gilles Durrieu3, Ronan Bureau4.
Abstract
The acute toxicities of 36 pharmaceuticals towards green algae were estimated from a set of quantile regression models representing the first global quantitative structure-activity relationships. The selection of these pharmaceuticals was based on their predicted environmental concentrations. An agreement between the estimated values and the observed acute toxicity values was found for several families of pharmaceuticals, in particular, for antidepressants. A recent classification (BDDCS) of drugs based on ADME properties (Absorption, Distribution, Metabolism and Excretion) was clearly correlated with the acute ecotoxicities towards algae. Over-estimation of toxicity from our QSAR models was observed for classes 2, 3 and 4 whereas our model results were in agreement for the class 1 pharmaceuticals. Clarithromycin, a class 3 antibiotic characterized by weak metabolism and high solubility, was the most toxic to algae (molecular stability and presence in surface water).Entities:
Keywords: Acute toxicity for algae; Mode of action; Pharmaceuticals; Quantile regression
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Year: 2015 PMID: 26590695 DOI: 10.1016/j.ecoenv.2015.11.009
Source DB: PubMed Journal: Ecotoxicol Environ Saf ISSN: 0147-6513 Impact factor: 6.291