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Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology.
- Source :
-
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association [Food Chem Toxicol] 2018 Feb; Vol. 112, pp. 478-494. Date of Electronic Publication: 2017 Sep 21. - Publication Year :
- 2018
-
Abstract
- Nanotechnology and the production of nanomaterials have been expanding rapidly in recent years. Since many types of engineered nanoparticles are suspected to be toxic to living organisms and to have a negative impact on the environment, the process of designing new nanoparticles and their applications must be accompanied by a thorough risk analysis. (Quantitative) Structure-Activity Relationship ([Q]SAR) modelling creates promising options among the available methods for the risk assessment. These in silico models can be used to predict a variety of properties, including the toxicity of newly designed nanoparticles. However, (Q)SAR models must be appropriately validated to ensure the clarity, consistency and reliability of predictions. This paper is a joint initiative from recently completed European research projects focused on developing (Q)SAR methodology for nanomaterials. The aim was to interpret and expand the guidance for the well-known "OECD Principles for the Validation, for Regulatory Purposes, of (Q)SAR Models", with reference to nano-(Q)SAR, and present our opinions on the criteria to be fulfilled for models developed for nanoparticles.<br /> (Copyright © 2017 Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-6351
- Volume :
- 112
- Database :
- MEDLINE
- Journal :
- Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
- Publication Type :
- Academic Journal
- Accession number :
- 28943385
- Full Text :
- https://doi.org/10.1016/j.fct.2017.09.037