Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-across
Agnieszka Gajewicz , Mark T. D. Cronin , Bakhtiyor Rasulev , Jerzy Leszczynski , Tomasz Puzyn
AbstractCreating 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.
|Journal series||Nanotechnology, ISSN 0957-4484|
|Publication size in sheets||0.5|
|Keywords in English||nanoparticles, nano-QSAR, nano-read-across, cytotoxicity|
|Score|| = 35.0, 07-08-2018, ArticleFromJournal|
= 35.0, 07-08-2018, ArticleFromJournal
|Publication indicators||: 2015 = 3.573 (2) - 2015=3.611 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.