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Timing, hosts and locations of (grouped) events of NanoImpactNet

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ModNanoTox<br />

Modelling nanoparticle toxicity: principles,<br />

methods, novel approaches<br />

NanoSafetyCluster - Compendium 2012<br />

Contract Agreement: NMP4-SL-2011-266712 Website: TBA<br />

Coordinator: Pr<strong>of</strong>essor Eugenia Valsami-Jones, University <strong>of</strong> Birmingham, Birmingham, UK<br />

No. Beneficiary name Short name Country<br />

1 University <strong>of</strong> Birmingham UB United Kingdom<br />

2 Roskilde Universitetscenter RU Denmark<br />

3 Eidgenössische Anstalt für Wasserversorgung, Abwasserreinigung und Gewässerschutz EAWAG Switzerl<strong>and</strong><br />

4 Eidgenössische Materialprüfungs- und Forschungsanstalt EMPA Switzerl<strong>and</strong><br />

5 In-silico toxicology gmbh IST Switzerl<strong>and</strong><br />

6 University <strong>of</strong> Nebraska Lincoln UNL USA<br />

Contents<br />

1 Summary ..................................................................................... 75<br />

2 Background ................................................................................ 75<br />

3 What is ModNanoTox ................................................................ 76<br />

4 Organisation <strong>of</strong> ModNanoTox ................................................... 76<br />

Project Duration: 1 November 2011 – 31 October 2013<br />

Project Funding: 1 Mio. EUR<br />

1 Summary<br />

ModNanoTox will develop a number <strong>of</strong> well-documented <strong>and</strong><br />

technically advanced models describing the behaviour <strong>of</strong><br />

engineered nanoparticles in organisms <strong>and</strong> the environment.<br />

Background to these models will be a thoroughly documented<br />

database, constructed based on: (1) an advanced evaluation <strong>of</strong><br />

physicochemical properties <strong>of</strong> nanoparticles <strong>and</strong> in silico modelling<br />

<strong>of</strong> their reactivity; <strong>and</strong> (2) assessment <strong>of</strong> the characterisation<br />

methodologies as well as toxicity protocols used to develop<br />

biological responses in toxicological studies. At the next level<br />

whole datasets will be evaluated for internal consistency <strong>and</strong> then<br />

compared with other relevant sets. The evaluation stage will be<br />

followed by development <strong>of</strong> toxicity models based at the<br />

individual organism level, using statistical <strong>and</strong> mechanistic models,<br />

in parallel with models predicting environmental fate. The toxicity<br />

<strong>and</strong> fate models will be integrated in mechanistic models to predict<br />

the long term risks <strong>of</strong> engineered nanoparticles for populations<br />

under realistic environmental conditions. The risk assessment<br />

models will be developed in close collaboration with appropriate<br />

stakeholders <strong>and</strong> end users to ensure their suitability for practical<br />

use in relevant legislative contexts.<br />

5 ModNanoTox: progress to date ................................................ 77<br />

6 Directory ..................................................................................... 77<br />

7 Copyright .................................................................................... 78<br />

2 Background<br />

The physicochemical properties <strong>of</strong> nano-sized particles are distinct<br />

from the properties <strong>of</strong> equivalent bulk substances <strong>and</strong> are also<br />

<strong>of</strong>ten unpredictable. As the use <strong>of</strong> nanomaterials increases, so<br />

must the research into any potential adverse effects on the<br />

environment or health. ModNanoTox was inspired by the idea that<br />

a number <strong>of</strong> projects are currently generating large datasets <strong>of</strong><br />

experimental results. Global nanosafety research would benefit<br />

greatly by harmonizing, rationalizing <strong>and</strong> converging these<br />

datasets <strong>and</strong> then use as the basis for robust large scale models <strong>of</strong><br />

toxicity. Such models can best be developed by teams with<br />

experience in collecting the data, who also have a deep<br />

underst<strong>and</strong>ing <strong>of</strong> their limitations <strong>and</strong> relative quality <strong>and</strong> can<br />

influence the progress <strong>of</strong> ongoing experimental work.<br />

ModNanoTox will be focusing on in silico methodology, to<br />

complement <strong>and</strong> support research on <strong>and</strong> regulation <strong>of</strong> the<br />

environmental <strong>and</strong> human implications <strong>of</strong> exposure to engineered<br />

metal nanoparticles. There has been a relative explosion <strong>of</strong> interest<br />

in nanotoxicology <strong>and</strong> growing concerns that the assessments <strong>of</strong><br />

the risks <strong>of</strong> nanotechnology is not keeping pace with<br />

developments <strong>of</strong> the technology. As a result, in recent years, a<br />

number <strong>of</strong> nanotoxicology projects have been funded, notably<br />

under the FP7 programme <strong>of</strong> the European Commission, which are<br />

currently in progress <strong>and</strong> generating nanosafety data. A significant<br />

research effort is also under way in the US. ModNanoTox will aim<br />

to evaluate <strong>and</strong> synthesise the best available datasets from these<br />

sources, <strong>and</strong> fit them into new models. Such models, whether<br />

statistical or mechanistic need to take into consideration the novel<br />

Compendium <strong>of</strong> Projects in the European NanoSafety Cluster 75

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