Using computational models to predict fish acute toxicity of pesticide metabolites
| Knowledge Source Identification | |
|---|---|
| Knowledge source name | Using computational models to predict fish acute toxicity of pesticide metabolites |
| Owner/Developer | National Centre for the Replacement, Refinement & Reduction of Animals in Research |
| Abbreviated owner | NC3Rs |
| Country | United Kingdom |
| Languages | English |
| URL | https://www.nc3rs.org.uk/news/using-computational-models-predict-fish-acute-toxicity-pesticide-metabolites |
| Description | An analysis, published recently in Regulatory Toxicology and Pharmacology, has shown that Quantitative Structure–Activity Relationship (QSAR) models could potentially be used to predict whether plant protection product (PPP) metabolites are acutely toxic to fish. The work was led by the NC3Rs, in partnership with scientists from Dow AgroSciences, Syngenta and BASF. |
| Knowledge Source Category | |
| Category | Publication |
| Sub categories | Press release |
| Knowledge Dissemination and Sharing | |
| Dissemination channel | Website |
| Targeted audience (specified/objective analysis) | Scientists, Regulators, Industry |
| Users access | Open access |
| Knowledge Characterization | |
| 3Rs relevance | Replacement, Reduction |
| Purpose | Toxicological and safety evaluation, Documentation and information |
| Technology/Tools | Non-testing methods (in silico) |