Article All rights reserved
refereed
published

CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology.

ORCID
0000-0003-3875-4468
Affiliation
a Instituto de Catalisis y Petroleoquimica, ICP, CSIC , Madrid , Spain.
Bañares, Miguel A;
ORCID
0000-0002-5288-7876
Affiliation
b German Federal Institute for Risk Assessment (BfR) , Department of Chemical and Product Safety , Berlin , Germany.
Haase, Andrea;
Affiliation
c Statistics and Toxicology Section , Institute of Occupational Medicine , Edinburgh , UK.
Tran, Lang;
ORCID
0000-0002-5231-0639
Affiliation
d School of Physics , University College Dublin , Dublin , Ireland.
Lobaskin, Vladimir;
Affiliation
e Department of Environmental Medicine , University of Rochester , Rochester , NY , USA.
Oberdörster, Günter;
Affiliation
g Advanced Computing, Mathematics, and Data Division , Pacific Northwest National Laboratory , Richland , WA , USA.
Rallo, Robert;
Affiliation
h Interdisciplinary Nanotoxicity Center , Jackson State University , Jackson , MS , USA.
Leszczynski, Jerzy;
ORCID
0000-0002-0292-6603
Affiliation
i Public Health, Unit Lung Toxicology , K. U. Leuven , Leuven , Belgium.
Hoet, Peter;
Affiliation
j Faculty of Medicine , Tel-Aviv University , Tel Aviv , Israel.
Korenstein, Rafi;
Affiliation
k Technology Park Basel , Douglas Connect GmbH , Basel , Switzerland.
Hardy, Barry;
ORCID
0000-0003-0449-8339
Affiliation
l Laboratory of Environmental Chemometrics, Faculty of Chemistry , University of Gdansk , Gdansk , Poland.
Puzyn, Tomasz

A first European Conference on Computational Nanotoxicology, CompNanoTox, was held in November 2015 in Benahavís, Spain with the objectives to disseminate and integrate results from the European modeling and database projects (NanoPUZZLES, ModENPTox, PreNanoTox, MembraneNanoPart, MODERN, eNanoMapper and EU COST TD1204 MODENA) as well as to create synergies within the European NanoSafety Cluster. This conference was supported by the COST Action TD1204 MODENA on developing computational methods for toxicological risk assessment of engineered nanoparticles and provided a unique opportunity for cross fertilization among complementary disciplines. The efforts to develop and validate computational models crucially depend on high quality experimental data and relevant assays which will be the basis to identify relevant descriptors. The ambitious overarching goal of this conference was to promote predictive nanotoxicology, which can only be achieved by a close collaboration between the computational scientists (e.g. database experts, modeling experts for structure, (eco) toxicological effects, performance and interaction of nanomaterials) and experimentalists from different areas (in particular toxicologists, biologists, chemists and material scientists, among others). The main outcome and new perspectives of this conference are summarized here.

Cite

Citation style:
Could not load citation form.

Access Statistic

Total:
Downloads:
Abtractviews:
Last 12 Month:
Downloads:
Abtractviews:

Rights

Use and reproduction:
All rights reserved

Export