MOD-ENP-TOX

Modeling Assays Platform "MAP" for hazard ranking of engineered nanoparticles (ENPs)

Coordinatore	KATHOLIEKE UNIVERSITEIT LEUVEN    more  Organization address contact info Titolo: Ms. Nome: Tine Cognome: Heylen Funzione: Advisor EU Projects Telefono: +32 16 32 65 20 Fax: +32 16 32 65 15
Nazionalità Coordinatore	Belgium [BE]
Totale costo	1˙385˙240 €
EC contributo	1˙000˙000 €
Programma	FP7-NMP Specific Programme "Cooperation": Nanosciences, Nanotechnologies, Materials and new Production Technologies
Code Call	FP7-NMP-2012-SMALL-6
Funding Scheme	CP-FP
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-01-01   -   2015-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	KATHOLIEKE UNIVERSITEIT LEUVEN	BE	coordinator	0.00
2	GENEDATA AG  Organization address address: MARGARETHENSTRASSE 38 city: BASEL contact info Titolo: Dr Nome: Timo Cognome: WITTENBERGER Email: send email Telefono: -615118402	CH (BASEL)	participant	0.00
3	NATIONAL HEALTH RESEARCH INSTITUTES  Organization address address: Keyan Road 35 city: ZHUNAN contact info Titolo: Dr Nome: Pinpin Cognome: LIN Email: send email Telefono: -37245280 Fax: -37586520	TW (ZHUNAN)	participant	0.00
4	RHENOVIA PHARMA  Organization address address: RUE DE CHEMNITZ 20C city: MULHOUSE contact info Titolo: Dr Nome: Serge Cognome: BISCHOFF Email: send email Telefono: -389321147 Fax: -389555112	FR (MULHOUSE)	participant	0.00

Mappa

 Word cloud

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 Obiettivo del progetto (Objective)

MOD-ENP-TOX project is a multidisciplinary project aiming to accomplish the following objectives: (i) to develop a novel and rational Modelling Assay Platform (MAP) which can be used as a « Risk Indicator » tool to predict the toxicity of metal-based NPs (MeNPs), and (ii) to demonstrate the feasibility of a MAP prototype on a shortlist of MeNPs - which can be further developed to screen the toxicity of a large number ENPs. Based on the concept of Integrating Testing Strategies (ITS), the proposed generic MAP combines two main and complimentary paradigms: (1) a novel Computational Modelling Package (CMP) based on structural, mechanistic, as well as kinetic modelling tools and (2) an innovative high content screening (HCS) strategy that allows performing multiplexed streamlined assays for calibration, refinement and validation of the computed models.

First a series of classification algorithms will be applied to identify MeNPs with similar toxicity patterns, then computational modelling tools will be developed to establish a more rational relationship between MeNPs descriptors and their toxicity in a dynamic and quantitative way. An in-vitro/in-vivo HCS paradigm will be developed as a scalable assessment tool to calibrate and validate the predictive power of the CMP using subsets of the training set or independent set of MeNPs (validation set) respectively.

Introduzione (Teaser)

The speed with which products incorporating nanomaterials are entering the market is tremendous, and many, many more are in the pipeline. High-throughput computational tools will soon be able to predict potential toxicity.