Compilation of data and modelling of nanoparticle interactions and toxicity in the NanoPUZZLES project
Advances in Experimental Medicine and Biology, ISSN: 2214-8019, Vol: 947, Page: 303-324
2017
- 12Citations
- 26Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations12
- Citation Indexes10
- 10
- CrossRef7
- Policy Citations2
- Policy Citation2
- Captures26
- Readers26
- 26
Book Chapter Description
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 con-trolled 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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85012014498&origin=inward; http://dx.doi.org/10.1007/978-3-319-47754-1_10; http://www.ncbi.nlm.nih.gov/pubmed/28168672; https://link.springer.com/10.1007/978-3-319-47754-1_10; https://dx.doi.org/10.1007/978-3-319-47754-1_10; https://link.springer.com/chapter/10.1007/978-3-319-47754-1_10
Springer Science and Business Media LLC
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