TY - JOUR
T1 - NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment
AU - Afantitis, Antreas
AU - Melagraki, Georgia
AU - Isigonis, Panagiotis
AU - Tsoumanis, Andreas
AU - Varsou, Dimitra Danai
AU - Valsami-jones, Eugenia
AU - Papadiamantis, Anastasios
AU - Ellis, Laura-jayne A.
AU - Sarimveis, Haralambos
AU - Doganis, Philip
AU - Karatzas, Pantelis
AU - Tsiros, Periklis
AU - Liampa, Irene
AU - Lobaskin, Vladimir
AU - Greco, Dario
AU - Serra, Angela
AU - Kinaret, Pia Anneli Sofia
AU - Saarimäki, Laura Aliisa
AU - Grafström, Roland
AU - Kohonen, Pekka
AU - Nymark, Penny
AU - Willighagen, Egon
AU - Puzyn, Tomasz
AU - Rybinska-fryca, Anna
AU - Lyubartsev, Alexander
AU - Alstrup Jensen, Keld
AU - Brandenburg, Jan Gerit
AU - Lofts, Stephen
AU - Svendsen, Claus
AU - Harrison, Samuel
AU - Maier, Dieter
AU - Tamm, Kaido
AU - Jänes, Jaak
AU - Sikk, Lauri
AU - Dusinska, Maria
AU - Longhin, Eleonora
AU - Rundén-pran, Elise
AU - Mariussen, Espen
AU - El Yamani, Naouale
AU - Unger, Wolfgang
AU - Radnik, Jörg
AU - Tropsha, Alexander
AU - Cohen, Yoram
AU - Leszczynski, Jerzy
AU - Ogilvie Hendren, Christine
AU - Wiesner, Mark
AU - Winkler, David
AU - Suzuki, Noriyuki
AU - Yoon, Tae Hyun
AU - Choi, Jang-sik
AU - Sanabria, Natasha
AU - Gulumian, Mary
AU - Lynch, Iseult
PY - 2020/3/7
Y1 - 2020/3/7
N2 - 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.
AB - 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.
KW - Nanoinformatics
KW - Computational toxicology
KW - Hazard assessment
KW - Engineered nanomaterials
KW - (quantitative) Structure-activity relationships
KW - Integrated approach for testing and assessment
KW - Safe-by-design
KW - Machine learning
KW - Read across
KW - Toxicogenomics
KW - Predictive modelling
KW - METAL-OXIDE NANOPARTICLES
KW - INDUCE OXIDATIVE STRESS
KW - CARBON NANOTUBES
KW - PROTEIN CORONA
KW - QUANTITATIVE STRUCTURE
KW - PULMONARY INFLAMMATION
KW - DEPENDENT TOXICITY
KW - CELLULAR TOXICITY
KW - NANOMATERIAL DATA
KW - FORCE-FIELD
U2 - 10.1016/j.csbj.2020.02.023
DO - 10.1016/j.csbj.2020.02.023
M3 - (Systematic) Review article
C2 - 32226594
SN - 2001-0370
VL - 18
SP - 583
EP - 602
JO - Computational and Structural Biotechnology Journal
JF - Computational and Structural Biotechnology Journal
ER -