CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology
- Instituto de Catalisis y Petroleoquimica, ICP, CSIC, Madrid, Spain,
- German Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Berlin, Germany,
- Statistics and Toxicology Section, Institute of Occupational Medicine, Edinburgh, UK,
- School of Physics, University College Dublin, Dublin, Ireland,
- Department of Environmental Medicine, University of Rochester, Rochester, NY, USA,
- Departament d’Enginyeria Informatica i Matematiques, Universitat Rovira i Virgili, Tarragona, Spain,; Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Laboratory, Richland, WA, USA,
- Interdisciplinary Nanotoxicity Center, Jackson State University, Jackson, MS, USA,
- Public Health, Unit Lung Toxicology, K. U. Leuven, Leuven, Belgium,
- Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel,
- Technology Park Basel, Douglas Connect GmbH, Basel, Switzerland,
- Laboratory of Environmental Chemometrics, Faculty of Chemistry, University of Gdansk, Gdansk, Poland
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 crossfertilization 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.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1422310
- Report Number(s):
- PNNL-SA-128881
- Journal Information:
- Nanotoxicology, Journal Name: Nanotoxicology Journal Issue: 7 Vol. 11; ISSN 1743-5390
- Publisher:
- Informa Healthcare
- Country of Publication:
- United States
- Language:
- English
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