NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment

Research output: Contribution to journalReview articlepeer-review


  • Antreas Afantitis; Georgia Melagraki; Panagiotis Isigonis; Andreas Tsoumanis; Dimitra Danai Varsou; Eugenia Valsami-Jones; Anastasios Papadiamantis; Laura-Jayne A. Ellis, Haralambos Sarimveis; Philip Doganis; Pantelis Karatzas; Periklis Tsiros; Irene Liampa; Vladimir Lobaskin; Dario Greco; Angela Serra; Pia Anneli Sofia Kinaret; Laura Aliisa Saarimäki; Roland Grafström; Pekka Kohonen; Penny Nymark; Egon Willighagen; Tomasz Puzyn; Anna Rybinska-Fryca; Alexander Lyubartsev; Keld Alstrup Jensen; Jan Gerit Brandenburg; Stephen Lofts; Claus Svendsen; Samuel Harrisono; Dieter Maier; Kaido Tamm; Jaak Jänes; Lauri Sikk; Maria Dusinska; Eleonora Longhin; Elise Rundén-Pran; Espen Mariussen; Naouale El Yamani; Wolfgang Unger; Jörg Radnik; Alexander Tropsha; Yoram Cohen; Jerzy Leszczynski; Christine Ogilvie Hendren; Mark Wiesner; David Winkler; Noriyuki Suzuki; Tae Hyun Yoon; Jang-Sik Choi, Natasha Sanabria; Mary Gulumian, Iseult Lynch

Colleges, School and Institutes

External organisations

  • Nanoinformatics Department
  • National Technical University of Athens
  • Tampere School of Public Health, University of Tampere, Tampere, Finland.
  • Karolinska Institute
  • University of Maastricht, Maastricht Medical Center, Maastricht, the Netherlands
  • Department of Paediatrics, Haematology and Oncology, Department of General Nursery, Medical University of Gdansk, Gdansk, Poland.
  • QSAR Lab Ltd.
  • Institutionen för material- och miljökemi
  • The National Research Center for the Work Environment
  • Chief Digital Organization
  • Centre for Ecology and Hydrology Bangor UK
  • Biomax Informatics AG
  • Estonian Genome Center, University of Tartu, Tartu, Estonia.
  • NILU-Norwegian Institute for Air Research
  • Federal Institute for Material Testing and Research (BAM)
  • Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, North Carolina.
  • 1] Developmental and Cell Biology, University of California, Irvine, California 92697, USA [2] Center for Complex Biological Systems, University of California, Irvine, California 92697, USA.
  • Jackson State University
  • Duke Global Health Institute, Duke University, Durham, North Carolina, USA.
  • Nottingham Trent University, Nottingham
  • National Institute for Environmental Studies of Japan
  • Hanyang University


Nanotechnology has enabled the discovery of a multitude of novel materials exhibiting unique physicochemical (PChem) properties compared to their bulk analogues. These properties have led to a rapidly increasing range of commercial applications; this, however, may come at a cost, if an association to long-term health and environmental risks is discovered or even just perceived. Many nanomaterials (NMs) have not yet had their potential adverse biological effects fully assessed, due to costs and time constraints associated with the experimental assessment, frequently involving animals. Here, the available NM libraries are analyzed for their suitability for integration with novel nanoinformatics approaches and for the development of NM specific Integrated Approaches to Testing and Assessment (IATA) for human and environmental risk assessment, all within the NanoSolveIT cloud-platform. These established and well-characterized NM libraries (e.g. NanoMILE, NanoSolutions, NANoREG, NanoFASE, caLIBRAte, NanoTEST and the Nanomaterial Registry (>2000 NMs)) contain physicochemical characterization data as well as data for several relevant biological endpoints, assessed in part using harmonized Organisation for Economic Co-operation and Development (OECD) methods and test guidelines. Integration of such extensive NM information sources with the latest nanoinformatics methods will allow NanoSolveIT to model the relationships between NM structure (morphology), properties and their adverse effects and to predict the effects of other NMs for which less data is available. The project specifically addresses the needs of regulatory agencies and industry to effectively and rapidly evaluate the exposure, NM hazard and risk from nanomaterials and nano-enabled products, enabling implementation of computational 'safe-by-design' approaches to facilitate NM commercialization.

Bibliographic note

© 2020 The Authors.


Original languageEnglish
Pages (from-to)583-602
Number of pages20
JournalComputational and Structural Biotechnology Journal
Publication statusPublished - 2020