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Projet international

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.


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.

Actualités

Equipe(s) UCO Type du projet
Nationaux/internationaux
Durée
2019-03-26
2023-03-26