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Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-across

Gajewicz, A and Cronin, MTD and Rasulev, B and Leszczynski, J and Puzyn, T (2015) Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-across. NANOTECHNOLOGY, 26 (1). pp. 1-9. ISSN 0957-4484

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Abstract

Creating suitable chemical categories and developing read-across methods, supported by quantum mechanical calculations, can be an effective solution to solving key problems related to current scarcity of data on the toxicity of various nanoparticles. This study has demonstrated that by applying a nano-read-across, the cytotoxicity of nano-sized metal oxides could be estimated with a similar level of accuracy as provided by quantitative structure-activity relationship for nanomaterials (nano-QSAR model(s)). The method presented is a suitable computational tool for the preliminary hazard assessment of nanomaterials. It also could be used for the identification of nanomaterials that may pose potential negative impact to human health and the environment. Such approaches are especially necessary when there is paucity of relevant and reliable data points to develop and validate nano-QSAR models

Item Type: Article
Uncontrolled Keywords: MD Multidisciplinary
Subjects: R Medicine > RM Therapeutics. Pharmacology
R Medicine > RS Pharmacy and materia medica
Divisions: Pharmacy & Biomolecular Sciences
Publisher: IOP PUBLISHING LTD
Related URLs:
Date Deposited: 15 Feb 2016 11:02
Last Modified: 15 Feb 2016 11:02
DOI or Identification number: 10.1088/0957-4484/26/1/015701
URI: http://researchonline.ljmu.ac.uk/id/eprint/2932

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