In 2004, following five OECD principles for model validation were adopted to validate a QSAR model for its regulatory consideration: a) a defined endpoint; b) an unambiguous algorithm; c) a defined domain of applicability d) appropriate measures for goodness-of-fit, robustness and predictivity and e) mechanistic interpretation, if possible [3].
OpenTox is actively supporting the OECD Principles for (Q SAR Validation so as to provide easy-to-use validation tools for algorithm and model developers.
CAESAR's models have been assessed according to the OECD principles for the validation of QSAR.
However, there are common characteristics that may allow to set general principles for their validation.
Many of its underlying ideas and concepts are inherited from the OECD principles for the validation, for the regulatory purposes, of QSAR models [12].
To date, there is no consensus on the principles for design, validation, and implementation of a simulation-based surgical training curriculum.
The aim was to interpret and expand the guidance for the well-known "OECD Principles for the Validation, for Regulatory Purposes, of (Q SAR Models", with reference to nano-(Q SAR, and present our opinions on the criteria to be fulfilled for models developed for nanoparticles.
This paper has outlined the basic principles for including validation and verification in an implementation process for molecular genetic testing.
The well-characterized internationally accepted validation principles for creating validated models have been used by regulatory agencies of United Sates (US) and gaining a boost in the European Union (EU) too [8, 11 13].
This process not only contributed to the successful validation and international recognition of alternative methods for toxicological hazard identification tests but also established that the agreed principles of validation hold for any new and updated test method, whether it is an in vivo or in vitro method, and both for ecotoxicity tests as well as for human health tests.
