Development and Implementation of a Sustainable Modelling Platform for NanoInformatics
2019-2023 | H2020

«NanoInformaTIX: Development and Implementation of a Sustainable Modelling Platform for NanoInformatics» funded by EC: GA 814426, H2020-NMBP-14-2018 [2019–2023] 7.75 M€

NanoInformaTIX is a European Research and Innovation Action project which  aims to create a comprehensive, sustainable, multi-scale modelling framework for exposure and (eco)-toxicity of Engineered Nanomaterials (ENM) to facilitate cost-effective risk assessment, less reliant on animal testing, and to support the design of safer materials and products. The project is coordinated by the Spanish National Research Council (CSIC) and involves the collaboration of 36 partners from 18 EU member states and 4 other countries.

NanoInformaTIX will develop a web-based Sustainable Nanoinformatics Framework (SNF) platform for risk management of ENMs in industrial manufacturing. The tool will be based on the significant amounts of data on physico-chemical and toxicological and ecotoxicological properties of ENMs 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 the following:

  • 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.

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Additional Information
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