The use of in silico methods (e.g. (Quantitative) Structure-Activity Relationships ((Q)SAR) models) as an alternative to experimental data for hazard
assessment of chemicals is increasingly adopted in various regulatory sectors. However, the reliability of results obtained by such methods is
sometimes unclear or low; thus, their acceptance by authorities, in the scope of regulatory decision-making, remains a challenging issue. A good
practice of these methods, regardless of the regulatory sector, is therefore crucial. The poster shows, based on our experience, what the different
actors (i.e. model developers, authorities, regulatory bodies and industry) need to contribute in order to overcome the barriers of acceptance of the
results produced by in silico methods. This information will subsequently support end users to appropriately evaluate and qualitatively document the
obtained predictions. Emphasis is given on (Quantitative) Structure-Activity Relationships models.
If you want to learn more, please contact Irini Julia Adaktylou.
Event: SETAC Europe 2019, Helsinki, Finland
