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

Abstract

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.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [4];  [5];  [6];  [7]; ORCiD logo [8];  [9];  [10]; ORCiD logo [11]
  1. Instituto de Catalisis y Petroleoquimica, ICP, CSIC, Madrid, Spain,
  2. German Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Berlin, Germany,
  3. Statistics and Toxicology Section, Institute of Occupational Medicine, Edinburgh, UK,
  4. School of Physics, University College Dublin, Dublin, Ireland,
  5. Department of Environmental Medicine, University of Rochester, Rochester, NY, USA,
  6. 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,
  7. Interdisciplinary Nanotoxicity Center, Jackson State University, Jackson, MS, USA,
  8. Public Health, Unit Lung Toxicology, K. U. Leuven, Leuven, Belgium,
  9. Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel,
  10. Technology Park Basel, Douglas Connect GmbH, Basel, Switzerland,
  11. Laboratory of Environmental Chemometrics, Faculty of Chemistry, University of Gdansk, Gdansk, Poland
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1422310
Report Number(s):
PNNL-SA-128881
Journal ID: ISSN 1743-5390
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Nanotoxicology
Additional Journal Information:
Journal Volume: 11; Journal Issue: 7; Journal ID: ISSN 1743-5390
Publisher:
Informa Healthcare
Country of Publication:
United States
Language:
English
Subject:
nanotoxicology; nanoqsar

Citation Formats

Bañares, Miguel A., Haase, Andrea, Tran, Lang, Lobaskin, Vladimir, Oberdörster, Günter, Rallo, Robert, Leszczynski, Jerzy, Hoet, Peter, Korenstein, Rafi, Hardy, Barry, and Puzyn, Tomasz. CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology. United States: N. p., 2017. Web. doi:10.1080/17435390.2017.1371351.
Bañares, Miguel A., Haase, Andrea, Tran, Lang, Lobaskin, Vladimir, Oberdörster, Günter, Rallo, Robert, Leszczynski, Jerzy, Hoet, Peter, Korenstein, Rafi, Hardy, Barry, & Puzyn, Tomasz. CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology. United States. doi:10.1080/17435390.2017.1371351.
Bañares, Miguel A., Haase, Andrea, Tran, Lang, Lobaskin, Vladimir, Oberdörster, Günter, Rallo, Robert, Leszczynski, Jerzy, Hoet, Peter, Korenstein, Rafi, Hardy, Barry, and Puzyn, Tomasz. Wed . "CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology". United States. doi:10.1080/17435390.2017.1371351.
@article{osti_1422310,
title = {CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology},
author = {Bañares, Miguel A. and Haase, Andrea and Tran, Lang and Lobaskin, Vladimir and Oberdörster, Günter and Rallo, Robert and Leszczynski, Jerzy and Hoet, Peter and Korenstein, Rafi and Hardy, Barry and Puzyn, Tomasz},
abstractNote = {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.},
doi = {10.1080/17435390.2017.1371351},
journal = {Nanotoxicology},
issn = {1743-5390},
number = 7,
volume = 11,
place = {United States},
year = {2017},
month = {8}
}