Skip to main content

The NCI Community Hub (NCI Hub) will be offline for maintenance December 2-3, 2022 as we migrate URLs from to The current address will automatically redirect to the new URL. The NCI Hub will continue to function as usual after the migration. Please be sure to update any bookmarks or favorites to the new URL. close

Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology (NanoSolveIT)

By Antreas Afantitis


Download (PDF)

Licensed under

Published on


Nano WG January 17, 2019

NanoSolveIT (a new H2020 nanoinformatics project) aspires to introduce a ground-breaking in silico Integrated Approach to Testing and Assessment (IATA) for the environmental health and safety of Nanomaterials (NM), implemented through a decision support system packaged as both a stand-alone open software and via a Cloud platform. NanoSolveIT will develop and deliver: (i) a reliable user friendly knowledge-based infrastructure for data hosting, sharing and exploitation, (ii) NM fingerprints, sets of nanodescriptors and properties that can be predictively linked to NM functionality, exposure and hazard, thereby supporting NM grouping, safe-by-design (SbD) and regulatory risk assessment (RA), (iii) innovative methodologies for NMs predictive (eco)toxicology underpinned by artificial intelligence (AI) and state-of-the-art in silico techniques, and, (iv) integration with currently developing multi-scale modelling, RA and governance frameworks developing in EU H2020 funded projects including caLIBRAte and expected in the forthcoming NMBP-13 project(s). NanoSolveIT will deliver a validated, sustainable, multi-scale nanoinformatics IATA, tested and demonstrated at TLR6 via OECD-style case studies, to serve the needs of diverse stakeholders at each stage of the NMs value chain, for assessment of potential adverse effects of NM on human health and the environment.



Cite this work

Researchers should cite this work as follows:

  • Antreas Afantitis (2019), "Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology (NanoSolveIT),"

    BibTex | EndNote


Mervi Heiskanen

National Cancer Institute