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(Q)SARs to Predict Environmental Toxicities: Current Status and Future Needs

Cronin, MTD (2017) (Q)SARs to Predict Environmental Toxicities: Current Status and Future Needs. Environmental Science: Processes and Impacts, 19 (3). pp. 213-220. ISSN 2050-7887

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Abstract

The current state of the art of (Quantitative) Structure-Activity Relationships ((Q)SARs) to predict environmental toxicity is assessed along with recommendations to develop these models further. The acute toxicity of compounds acting by the non-polar narcotic mechanism of action can be well predicted, however other approaches, including read-across, may be required for compounds acting by specific mechanisms of action. The chronic toxicity of compounds to environmental species is more difficult to predict from (Q)SARs, with robust data sets and more mechanistic information required. In addition, the toxicity of mixtures is little addressed by (Q)SAR approaches. Developments in environmental toxicology including Adverse Outcome Pathways (AOPs) and omics responses should be utilised to develop better, more mechanistically relevant, (Q)SAR models.

Item Type: Article
Subjects: Q Science > QD Chemistry
Q Science > QH Natural history > QH301 Biology
Divisions: Pharmacy & Biomolecular Sciences
Publisher: Royal Society of Chemistry
Date Deposited: 17 Feb 2017 09:56
Last Modified: 13 Sep 2017 10:06
URI: http://researchonline.ljmu.ac.uk/id/eprint/5552

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