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

Authors :
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 Harrison
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
Source :
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 583-602 (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

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.

Details

Language :
English
ISSN :
20010370
Volume :
18
Issue :
583-602
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.81b6870ad37945198bc7dfd358f34de2
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2020.02.023