Open AccessMethods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.
Author(s) -
Lennart Eriksson,
Joanna Jaworska,
Andrew Worth,
Mark T.D. Cronin,
R. M. McDowell,
Paola Gramatica
Publication year - 2003
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp.5758
Subject(s) - quantitative structure–activity relationship , reliability (semiconductor) , context (archaeology) , computer science , management science , data mining , machine learning , engineering , paleontology , power (physics) , physics , quantum mechanics , biology
This article provides an overview of methods for reliability assessment of quantitative structure-activity relationship (QSAR) models in the context of regulatory acceptance of human health and environmental QSARs. Useful diagnostic tools and data analytical approaches are highlighted and exemplified. Particular emphasis is given to the question of how to define the applicability borders of a QSAR and how to estimate parameter and prediction uncertainty. The article ends with a discussion regarding QSAR acceptability criteria. This discussion contains a list of recommended acceptability criteria, and we give reference values for important QSAR performance statistics. Finally, we emphasize that rigorous and independent validation of QSARs is an essential step toward their regulatory acceptance and implementation.