Open Access
The Characterisation of (Quantitative) Structure-Activity Relationships: Preliminary Guidance
Andrew Worth,Arianna Bassan,A. Gallegos,T. I. Netzeva,Grace Patlewicz,Manuela Pavan,Ivanka Tsakovska,Marjan Vračko +7 more
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This report provides preliminary guidance on how to characterise (Q)SARs according to the OECD validation principles, and is likely that an update will be produced in the future for the benefit of those who need to submit (Industry) or evaluate (Authorities) chemical information based (partly) on (Q).Abstract:
In November 2004, the OECD Member Countries and the European Commission adopted five principles for the validation of (quantitative) structure-activity relationships ([Q]SARs) intended for use in the regulatory assessment of chemicals. International agreement on a set of valdation principles was important, not only to provide regulatory bodies with a scientific basis for making decisions on the acceptability of data generated by (Q)SARs, but also to promote the mutual acceptance of (Q)SAR models by improving the transparency and consistency of (Q)SAR reporting. According to the OECD Principles for (Q)SAR validation, a (Q)SAR model that is proposed for regulatory use should be associated with five types of information: 1) a defined endpoint; 2) an unambiguous algorithm; 3) a defined domain of applicability; 4) appropriate measures of goodness-of-fit, robustness and predictivity; and 5) a mechanistic interpretation, if possible. Taken together, these five principles form the basis of a conceptual framework for characterising (Q)SAR models, and of reporting formats for describing the model characteristics in a transparent manner. Under the proposed REACH legislation in the EU, there are provisions for the use of estimated data generated by (Q)SARs, both as a substitute for experimental data, and as a supplement to experimental data in weight-of-evidence approaches. It is foreseen that (Q)SARs will be used for the three main regulatory goals of hazard assessment, risk assessment and PBT/vPvB assessment. In the Registration process under REACH, the registrant will be able to use (Q)SAR data in the registration dossier provided that adequate documentation is provided to argue for the validity of the model(s) used. This report provides preliminary guidance on how to characterise (Q)SARs according to the OECD validation principles. It is emphasised that the understanding of how to characterise (Q)SAR models is evolving, and that the content of the current report reflects the understanding and perspectives of the authors at the time of writing (November 2005). It is therefore likely that an update will be produced in the future for the benefit of those who need to submit (Industry) or evaluate (Authorities) chemical information based (partly) on (Q)SARs. It is also noted that this document does not provide guidance on the use of (Q)SAR reporting formats, or on criteria for the acceptance of (Q)SAR estimates, since EU guidance on these topics stills need to be developed.read more
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Journal ArticleDOI
Comparison of different approaches to define the applicability domain of QSAR models.
TL;DR: Some existing descriptor-based approaches performing this task of characterization of interpolation space in QSAR models are discussed and compared by implementing them on existing validated datasets from the literature.
Journal ArticleDOI
Physical Organic Chemistry
TL;DR: Hammett as discussed by the authors summarized reaction rates, equilibria and mechanisms of organic chemistry, and applied them to the quantitative consideration of the majority of the well-known reactions in organic chemistry.
Journal ArticleDOI
OPERA models for predicting physicochemical properties and environmental fate endpoints
Kamel Mansouri,Kamel Mansouri,Kamel Mansouri,Christopher M. Grulke,Richard S. Judson,Antony J. Williams +5 more
TL;DR: This study aims to develop robust QSAR/QSPR models for chemical properties of environmental interest that can be used for regulatory purposes and uses data from the publicly available PHYSPROP database, a set of 13 common physicochemical and environmental fate properties.
Journal ArticleDOI
The role of the European Chemicals Bureau in promoting the regulatory use of (Q)SAR methods.
Andrew Worth,Arianna Bassan,De Bruijn J,Gallegos Saliner A,T. I. Netzeva,Grace Patlewicz,Manuela Pavan,Ivanka Tsakovska,Eisenreich S +8 more
TL;DR: An overview of ECB activities on computational toxicology is provided, which are intended to promote the development, validation, acceptance and use of (Q)SARs and related estimation methods, both at the European and international levels.
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