Assessment of predictive models for estimating the acute aquatic toxicity of organic chemicals

Fjodor Melnikov, Jakub Kostal, Adelina Voutchkova-Kostal, Julie B. Zimmerman, Paul T. Anastas
  • Green Chemistry, January 2016, Royal Society of Chemistry
  • DOI: 10.1039/c6gc00720a

What is it about?

The paper looks at a few predictive models for acute aquatic toxicity and their methodologies. The model performance is assessed based on a common data set external to all training sets. Regulatory-relevant toxicity categories are included in assessment. Finally, we track differences in predicted values to the estimation methods, whenever possible.

Why is it important?

It is always important to validate models with new data. It is equally vital to differentiate modeling methods that yield best results. Thus, the analysis presented in the paper aims to give some guidance on the effectiveness of different model methodologies. We hope that the information will help other scientist build more robust in silico tools by considering properties used in the model and potential modes of chemical toxicity.

Read Publication

http://dx.doi.org/10.1039/c6gc00720a

The following have contributed to this page: Fjodor Melnikov

In partnership with: