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Modelling the Toxicity of Nanoparticles

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Attention for Chapter 10: Compilation of Data and Modelling of Nanoparticle Interactions and Toxicity in the NanoPUZZLES Project
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Chapter title
Compilation of Data and Modelling of Nanoparticle Interactions and Toxicity in the NanoPUZZLES Project
Chapter number 10
Book title
Modelling the Toxicity of Nanoparticles
Published in
Advances in experimental medicine and biology, February 2017
DOI 10.1007/978-3-319-47754-1_10
Pubmed ID
Book ISBNs
978-3-31-947752-7, 978-3-31-947754-1
Authors

Andrea-Nicole Richarz, Aggelos Avramopoulos, Emilio Benfenati, Agnieszka Gajewicz, Nazanin Golbamaki Bakhtyari, Georgios Leonis, Richard L Marchese Robinson, Manthos G Papadopoulos, Mark TD Cronin, Tomasz Puzyn

Editors

Lang Tran, Miguel A. Bañares, Robert Rallo

Abstract

The particular properties of nanomaterials have led to their rapidly increasing use in diverse fields of application. However, safety assessment is not keeping pace and there are still gaps in the understanding of their hazards. Computational models predicting nanotoxicity, such as (quantitative) structure-activity relationships ((Q)SARs), can contribute to safety evaluation, in line with general efforts to apply alternative methods in chemical risk assessment. Their development is highly dependent on the availability of reliable and high quality experimental data, both regarding the compounds' properties as well as the measured toxic effects. In particular, "nano-QSARs" should take the nano-specific characteristics into account. The information compiled needs to be well organized, quality controlled and standardized. Integrating the data in an overarching, structured data collection aims to (a) organize the data in a way to support modelling, (b) make (meta)data necessary for modelling available, and (c) add value by making a comparison between data from different sources possible.Based on the available data, specific descriptors can be derived to parameterize the nanomaterial-specific structure and physico-chemical properties appropriately. Furthermore, the interactions between nanoparticles and biological systems as well as small molecules, which can lead to modifications of the structure of the active nanoparticles, need to be described and taken into account in the development of models to predict the biological activity and toxicity of nanoparticles. The EU NanoPUZZLES project was part of a global cooperative effort to advance data availability and modelling approaches supporting the characterization and evaluation of nanomaterials.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bulgaria 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Researcher 6 23%
Student > Master 3 12%
Student > Bachelor 2 8%
Other 2 8%
Other 5 19%
Unknown 2 8%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 12%
Nursing and Health Professions 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Chemistry 2 8%
Medicine and Dentistry 2 8%
Other 5 19%
Unknown 10 38%