Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

Tomasz Puzyn, Bakhtiyor Rasulev, Agnieszka Gajewicz, Xiaoke Hu, Thabitha P. Dasari, Andrea Michalkova, Huey-Min Hwang, Andrey Toropov, Danuta Leszczynska, Jerzy Leszczynski
  • Nature Nanotechnology, February 2011, Springer Science + Business Media
  • DOI: 10.1038/nnano.2011.10

A first real nano-QSAR model to predict toxicity of metal oxide nanomaterials

What is it about?

A novel study that show first quantitative structure-activity relationship (QSAR) to predict toxicity of various metal oxide nanomaterials. Based on experimental testing, we have developed a model to describe the cytotoxicity of 17 different types of metal oxide nanoparticles to bacteria Escherichia coli. The methodology is expected to provide guidance for the future design of safe nanomaterials.

Why is it important?

A novel study that show first nano-QSAR to predict toxicity of various metal oxide nanomaterials. The methodology is expected to provide guidance for the future design of safe nanomaterials.

Perspectives

Professor Bakhtiyor Rasulev
North Dakota State University

A first nano-QSAR to predict toxicity of various metal oxide nanomaterials. The methodology can help in quick and non-animal assessment of nanomaterials' toxicity.

Read Publication

http://dx.doi.org/10.1038/nnano.2011.10

The following have contributed to this page: Professor Bakhtiyor Rasulev, Professor Jerzy Leszczynski, and Dr Andrey A. Toropov