• Elena Fioravanzo

QSARs for toxicity prediction

If you use QSARs for toxicity prediction you are interested in understanding the uncertainty of your predictions. Improving regulatory confidence in, and acceptance of, a prediction of toxicity from a quantitative structure-activity relationship (QSAR) requires assessment of its uncertainty and determination of whether the uncertainty is acceptable. Thus, it is crucial to identify potential uncertainties fundamental to QSAR predictions.

If you want to learn more you can Learn-per-project, attend one of our training courses or ask for an in-house training specific for your needs and applications. Ask us for more information at training@toxnavigation.com

In this paper:

  • Uncertainties, variabilities and potential areas of bias and influences of QSARs are identified.

  • The creation, description and application of QSARs is evaluated.

  • 13 types of uncertainty, variability, bias and influence of QSARs established.

  • 49 assessment criteria for QSARs are presented.

  • Application of the assessment criteria will improve the uptake and use of QSARs.

Get access to the paper: link

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