PRENANOTOX

Predictive toxicology of engineered nanoparticles

 Coordinatore TEL AVIV UNIVERSITY 

 Organization address address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
Titolo: Ms.
Nome: Lea
Cognome: Pais
Email: send email
Telefono: +972 3 6408774
Fax: +972 3 6409697

 Nazionalità Coordinatore Israel [IL]
 Sito del progetto http://prenanotox.tau.ac.il/
 Totale costo 1˙289˙902 €
 EC contributo 997˙734 €
 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    TEL AVIV UNIVERSITY

 Organization address address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
Titolo: Ms.
Nome: Lea
Cognome: Pais
Email: send email
Telefono: +972 3 6408774
Fax: +972 3 6409697

IL (TEL AVIV) coordinator 545˙872.00
2    FORSCHUNGSZENTRUM JUELICH GMBH

 Organization address address: Leo-Brandt-Strasse
city: JUELICH
postcode: 52425

contact info
Titolo: Mrs.
Nome: Gelinde
Cognome: Riese
Email: send email
Telefono: +49 2461 611854

DE (JUELICH) participant 228˙942.00
3    ISTITUTO DI RICERCHE FARMACOLOGICHE MARIO NEGRI

 Organization address address: Via Giuseppe La Masa 19
city: MILANO
postcode: 20156

contact info
Titolo: Ms.
Nome: Maria Grazia
Cognome: Pezzoni
Email: send email
Telefono: +39 02 39014304
Fax: +39 02 39009728

IT (MILANO) participant 222˙920.00

Mappa


 Word cloud

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

cell    surface    suggest    chemistry    appropriate    adsorption    strength    predictive    prenanotox    np    scientific    tools    nanotoxicology    nps    determine    toxicology    database   

 Obiettivo del progetto (Objective)

'The production of many consumer products based on manufactured NanoParticles (NPs) has led to a growing public and regulatory concern about the safety of nanomaterials. Since experimental toxicological testing of NPs, especially in vivo animal studies is costly and time-consuming, it is necessary to develop a novel research field and associated methods and tools to reach the goal of predictive nanotoxicology. The PreNanoTox consortium addresses three currently missing critical elements needed to develop a platform for predictive nanotoxicology and our suggested approach of providing them: (1) There is a current lack of unified large database – We suggest to form this database by applying cutting edge information extraction tools on large repository of scientific articles; (2) There is a need for better understanding the underlying mechanisms of the primary interaction of NP with the cell membrane – We suggest to apply appropriate theory and simulation assuming that the surface chemistry of a NP (affecting NP’s surface reactivity, hydrophobicity, or surface electrostatics) as well as its other physical properties (e.g. size and shape) determine the strength of the non-specific adsorption of NPs to a cell surface, leading beyond a certain adhesion-strength threshold, to efficient uptake of the NPs; (3) There is a need to extend the traditional QSAR paradigm to the field of nanotoxicology – This will be carried out by linking appropriate NP descriptors, with emphasis on those which determine the strength of adsorption of NPs to cells, with biological responses. The PreNanoTox consortium is made up of four research groups (from three scientific organizations), which lead in information technology, soft matter modeling, computational chemistry and in-vitro toxicology, yielding a synergetic output. This project will assist in safe designing of new engineered NPs as well as reducing tha extent needed for empirical testing of toxicity.'

Introduzione (Teaser)

Nanotechnology, or devices and systems based on materials of very small dimensions, is advancing fields from consumer electronics to biomedicine to energy. A new study helps lay the foundations for toxicology models similar to those for conventional chemicals.

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