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  5. Bionano Interactions: A Key to Mechanistic Understanding of Nanoparticle Toxicity
 
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Bionano Interactions: A Key to Mechanistic Understanding of Nanoparticle Toxicity

Author(s)
Lobaskin, Vladimir  
Power, David  
Lopez, Hender  
Poggio, Stefano  
Uri
http://hdl.handle.net/10197/11420
Date Issued
2019-12-31
Date Available
2020-07-10T11:33:32Z
Abstract
The new paradigm in the assessment of toxicity of nanomaterials relies on a mechanistic understanding of the organism’s response to an exposure to foreign materials from the initial, molecular level interactions to signaling and regulatory cascades. Here, we present a methodology to quantify the essential interactions at the bionano interface, which can be used in combination with the adverse outcome pathway analysis to build mechanism-based predictive schemes for toxicity assessments. We introduce a set of new, advanced descriptors of the nanomaterials, which refer to their ability to bind biomolecules and trigger the pathways via the molecular initiating events.
Sponsorship
European Commission Horizon 2020
European Commission - Seventh Framework Programme (FP7)
Type of Material
Book Chapter
Publisher
Jenny Stanford
Copyright (Published Version)
2020 Jenny Stanford Publishing
Subjects

Bionano interface

Multiscale modelling

Coarse-grained nanopa...

Web versions
https://www.routledge.com/Computational-Nanotoxicology-Challenges-and-Perspectives/Gajewicz-Puzyn/p/book/9789814800648
Language
English
Status of Item
Peer reviewed
Journal
Puzyn T., Gajewicz A. (eds.). Computational Nanotoxicology Challenges and Perspectives
ISBN
9789814800648
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Chapter - Computational Nanotoxicology.pdf

Size

1.79 MB

Format

Adobe PDF

Checksum (MD5)

17376227fb8958cd011fab6814c6f535

Owning collection
Physics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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