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Modelling the Toxicity of Nanoparticles

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Attention for Chapter 7: Multiscale Modelling of Bionano Interface
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Chapter title
Multiscale Modelling of Bionano Interface
Chapter number 7
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_7
Pubmed ID
Book ISBNs
978-3-31-947752-7, 978-3-31-947754-1
Authors

Hender Lopez, Erik G. Brandt, Alexander Mirzoev, Dmitry Zhurkin, Alexander Lyubartsev, Vladimir Lobaskin

Editors

Lang Tran, Miguel A. Bañares, Robert Rallo

Abstract

We present a framework for coarse-grained modelling of the interface between foreign nanoparticles (NP) and biological fluids and membranes. Our model includes united-atom presentations of membrane lipids and globular proteins in implicit solvent, which are based on all-atom structures of the corresponding molecules and parameterised using experimental data or atomistic simulation results. The NPs are modelled by homogeneous spheres that interact with the beads of biomolecules via a central force that depends on the NP size. The proposed methodology is used to predict the adsorption energies for human blood plasma proteins on NPs of different sizes as well as the preferred orientation of the molecules upon adsorption. Our approach allows one to rank the proteins by their binding affinity to the NP, which can be used for predicting the composition of the NP-protein corona for the corresponding material. We also show how the model can be used for studying NP interaction with a lipid bilayer membrane and thus can provide a mechanistic insight for modelling NP toxicity.

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Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Vietnam 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Researcher 5 17%
Other 3 10%
Professor 2 7%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 8 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 13%
Physics and Astronomy 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Chemistry 3 10%
Engineering 2 7%
Other 2 7%
Unknown 12 40%