NanoInformaTIX : Development and Implementation of a Sustainable Modelling Platform for NanoInformatics
NanoInformaTIX : Development and Implementation of a Sustainable Modelling Platform for NanoInformatics
Projet international
Financement Horizon 2020
En partenariat avec 35 établissements internationaux publics et privés
NanoInformaTIX develops a web-based Sustainable Nanoinformatics Framework (SNF) platform for risk management of engineered nanomaterials (ENM) in industrial manufacturing. The tool will be based on the significant amounts of data on physico-chemical and toxicological and ecotoxicological properties of ENM generated over the last decades, as well as new data coming from research.
Financement Horizon 2020
En partenariat avec 35 établissements internationaux publics et privés
NanoInformaTIX develops a web-based Sustainable Nanoinformatics Framework (SNF) platform for risk management of engineered nanomaterials (ENM) in industrial manufacturing. The tool will be based on the significant amounts of data on physico-chemical and toxicological and ecotoxicological properties of ENM generated over the last decades, as well as new data coming from research.
NanoInformaTIX develops a web-based Sustainable Nanoinformatics Framework (SNF) platform for risk management of engineered nanomaterials (ENM) in industrial manufacturing. The tool will be based on the significant amounts of data on physico-chemical and toxicological and ecotoxicological properties of ENM generated over the last decades, as well as new data coming from research.
The final aim is to provide efficient user-friendly interfaces to enhance accessibility and usability of the nanoinformatics models to industry, regulators, and civil society, thus supporting sustainable manufacturing of ENM-based products
The main objectives of the project are:
- Database
the database will be implemented by collecting and managing data from completed and ongoing projects;
- Material Modelling
to provide multiscale bottom-up methods for ENM design and model advanced descriptors, implement a ‘Safe-by-Design’ approach;
- Fate-Exposure Modelling
to develop models of ENM release and exposure, fate and environmental distribution, and bio-distribution;
- Dose-Response Modelling
top-down data mining and quantitative methods, to derive models of the ENM dose-response relationship for (eco)-toxicity, will allow ENM descriptors to be linked to adverse outcomes;
- Integration/linking of Models
chain data sources and models will enable specific operations needed for risk assessment as well as predictions of properties and effects for safer design of quality products;
- Model validation
to improve model prediction using advanced descriptors; validate models by comparing model predictions with data from EU and national projects.