In 2013 the European Food Safety Authority (EFSA) published a guidance document which outlined opportunities where non-laboratory testing methods, for example in silico models, may be considered to address plant protection product (PPP) data requirements, specifically those related to pesticide metabolites (EFSA 2013). We recognised this as an opportunity to establish the utility of quantitative structural activity relationship models (QSARs) in predicting acute fish toxicity of pesticide metabolites, with the aim of increasing industry and regulatory engagement with this type of approach.
In partnership with scientists from Dow AgroSciences, Syngenta, and BASF, we carried out retrospective data analysis comparing experimental fish acute toxicity data for 150 pesticide metabolites within a publicly available database with values predicted using QSARs. The publication detailing this work can be found here. The analysis demonstrated that QSARs have potential to be utilised in the future to predict whether pesticide metabolites are acutely toxic to fish. The application of such a model by the agrochemical industry could ultimately lead to a decrease in the number of fish acute toxicity studies that are carried out to meet regulatory requirements, saving up to 1800 fish per year across Europe.
EFSA 2013. Guidance on tiered risk assessment for plant protection products for aquatic organisms in edge-of-field surface waters. EFSA Journal;11(7):3290. doi: 10.2903/j.efsa.2013.3290
Poster presented at the NC3Rs Toxiology Showcase, September 2016: The utility of QSARs in predicting acute fish toxicity of pesticide metabolites: a retrospective validation approach
Burden N, Maynard SK, Weltje L et al. (2016). The utility of QSARs in predicting acute fish toxicity of pesticide metabolites: A retrospective validation approach. Regulatory Toxicology and Pharmacology 80:241-246. doi:10.1016/j.yrtph.2016.05.032
News article: Using computational models to predict fish acute toxicity of pesticide metabolites, 13 July 2016