Concerting experimental data and in silico models for REACH

The objective of the project is to evaluate the impact of REACH through an integration of experimental data of registered substances and in silico tools, These tools will allow evaluating substances without the experimental values for all tonnages.

This network will be the largest network of in silico tools in the world, and will reshape the strategy of evaluating the chemical substances. In the long term our in silico tools will be the first step in the evaluatin of the chemical substances, to be followed by the classical methods.

The project is coordinated by Istituto di Ricerche Farmacologiche Mario Negri in Milan, Italy. We are responsible for a task in the project and have a number of activities.

The project started in September 2018 and aims at:
- Boosting the data of registered chemical substances improving in silico tools and read across, offering more than 300 in silico models, the highest number within the same network. >200 of these come from the DTU / Danish (Q)SAR Database.
- Making available additional 42 in silico models, covering a much wider list of properties than the currently available models, through the integration of data as in AMBIT, and models as in VEGA.
-Making available a new tool for grouping.
-Extensively implement read across tools.
- Integrating the results of read across and in silico models.