Screen LibraryModelling the Toxicity of Nanoparticles /
In today s nanotechnology and pharmaceutical research, alternative toxicology testing methods are crucial for ethically and commercially sound practice. This book provides practical guidelines on how to develop and validate quantitative nanostructure-toxicity relationship (QNTR) models, which are id...
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| Corporate Authors: | |
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| Group Author: | ; ; |
| Published: |
Springer International Publishing : Imprint: Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Advances in Experimental Medicine and Biology,
947 |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-319-47754-1 |
| Summary: |
In today s nanotechnology and pharmaceutical research, alternative toxicology testing methods are crucial for ethically and commercially sound practice. This book provides practical guidelines on how to develop and validate quantitative nanostructure-toxicity relationship (QNTR) models, which are ideal for rapidly exploring the effects of a large number of variables in complex scenarios. Through contributions by academic, industrial, and governmental experts, Modelling the Toxicity of Nanoparticles delivers clear instruction on these methods and their integration and use in risk assessment. |
| Carrier Form: | 1 online resource (XVII, 352 pages) : illustrations. |
| ISBN: | 9783319477541 |
| Index Number: | RM1 |
| CLC: | R96 |
| Contents: | Engineered Nanoparticles Their physico-chemical characteristics and how to measure them -- Measurement -- The Life-Cycle of Engineered Nanoparticles -- From Dose to Response In vivo Nanoparticle Processing and Potential Toxicity -- From Dose to Response Literature review od (Q)SAR Modelling of Nanomaterial Toxicity -- Systems biology to support nanomaterial grouping -- Multiscale modelling of bionano interface -- Biological Surface Adsorption Index of Nanomaterials - Modeling Surface Interactions of Nanomaterials with Biomolecules -- Case study I - An integrated data-driven strategy for safe |