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EU-Förderung (6.783.556 €): Entwicklung und Implementierung einer nachhaltigen Modellierungsplattform für Nanoinformatik. Hor 01.01.2019 EU-Rahmenprogramm für Forschung und Innovation "Horizont"

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Entwicklung und Implementierung einer nachhaltigen Modellierungsplattform für Nanoinformatik.

NanoInformaTIX 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. Our approach integrates several relevant EU/US databases with validated nanoinformatics models covering: Materials, Exposure, Physiologically-Based Pharmacokinetics (PBPK), Quantitative-Structure-Activity Relations (QSAR) and Systems Biology modelling and in vitro/in vivo extrapolation to support the prediction of biological effects and exposure of ENM at various stages of their life cycle and product development. NanoInformaTIX will address grouping and read-across for risk assessment and safer product design. NanoInformaTIX will use existing curated data from several completed EU/US projects and from peer-reviewed literature to develop, extend the models and will also consider emerging data from ongoing projects for model validation following the OECD validation principles. This will take the NanoInformaTIX models from TLR4 to TLR6. The NanoInformaTIX modelling framework will be a web-based platform with a user-friendly interface tailored to the needs of different stakeholders (industry, regulators, academia and the civil society). To obtain optimal confidence in the use of the NanoInformaTIX modelling and database framework, all models will be described clearly using agreed standards terminology and implemented on harmonized standard operating protocols based on Good Modelling/Software Design practices. Their applicability domain will be clearly documented and referenced for full transparency and detailed user guidance for each will be provided. NanoInformaTIX will achieve considerable impact by providing the much -needed validated accessible data management modelling framework to predict human and environmental risks, to support the design of sustainable ENM and products.


Geförderte Unternehmen:

Firmenname Förderungssumme
Aarhus Universitet 217.214 €
Agencia Estatal Consejo Superior de Investigaciones Cientificas 380.000 €
Bundesinstitut Fuer Risikobewertung 309.000 €
Consiglio Nazionale Delle Ricerche 159.364 €
DET Nationale Forskningscenter FOR Arbejdsmiljø 114.750 €
East European Research And Innovation Enterprise Ltd. 205.625 €
Eidgenossische Materialprufungs- UND Forschungsanstalt 233.618 €
Ethnicon Metsovion Polytechnion 163.750 €
European Research Services GmbH 168.000 €
Greendecision Srl 101.813 €
Helmholtz-Zentrum FUR Umweltforschung GmbH - UFZ 140.000 €
Helsingin Yliopisto 300.875 €
Ideaconsult LLC 239.125 €
Institute of Occupational Medicine 223.360 €
Mintek 90.000 €
National Center FOR Nanoscience AND Technology 0,00 €
National Center FOR Scientific Research Demokritos 148.750 €
National Cheng Kung University 0,00 €
Politecnico Di Torino 234.375 €
Sintef Ocean AS 170.000 €
Sorbonne Universite 120.000 €
Swansea University 284.945 €
TEL Aviv University 255.000 €
Temas AG Technology AND Management Services 88.195 €
Temas Solutions GmbH 150.555 €
Thomas More Kempen VZW 234.000 €
Tinexta Innovation Hub S.p.A. 233.000 €
Tyoterveyslaitos 115.000 €
Universidade de Aveiro 222.750 €
Universita Degli Studi Di Roma TOR Vergata 188.750 €
Universitat Rovira i Virgili 233.994 €
Universite Catholique de l'Ouest Association Saint Yves 80.125 €
Universite d'AIX Marseille 100.000 €
Universiteit Leiden 350.000 €
University College Dublin, National University of Ireland, Dublin 178.175 €
Uniwersytet Gdanski 219.450 €
Uppintech OÜ 130.000 €

Quelle: https://cordis.europa.eu/project/id/814426

Diese Bekanntmachung wurde von Englisch nach Deutsch übersetzt. Die Bekanntmachung bezieht sich auf einen vergangenen Zeitpunkt, und spiegelt nicht notwendigerweise den heutigen Stand wider.