MOD-ENP-TOX

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

 Coordinatore KATHOLIEKE UNIVERSITEIT LEUVEN 

 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

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

tool    computational    toxicity    menps    cmp    predict    map    validation    tools    hcs    rational   

 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.

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