Literature DB >> 26590695

Acute toxicities of pharmaceuticals toward green algae. mode of action, biopharmaceutical drug disposition classification system and quantile regression models.

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).
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute toxicity for algae; Mode of action; Pharmaceuticals; Quantile regression

Mesh:

Substances:

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


  2 in total

1.  Phototransformation of Three Psychoactive Drugs in Presence of Sedimental Water Extractable Organic Matter.

Authors:  Cristina Jiménez-Holgado; Vasilios Sakkas; Claire Richard
Journal:  Molecules       Date:  2021-04-23       Impact factor: 4.411

Review 2.  A decade in review: use of data analytics within the biopharmaceutical sector.

Authors:  Matthew Banner; Haneen Alosert; Christopher Spencer; Matthew Cheeks; Suzanne S Farid; Michael Thomas; Stephen Goldrick
Journal:  Curr Opin Chem Eng       Date:  2021-12       Impact factor: 5.163

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.