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Cited by 282

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Computational Investigation of Interaction between Nanoparticles and Membranes: Hydrophobic/Hydrophilic Effect

Li, Yang, Chen, Xin, Gu, Ning·2008·The Journal of Physical Chemistry B

Abstract

Understanding the interactions of nanoparticles (NPs) with biological system, especially interactions with cell membranes, is critical for the rational design of nanocarrier agents and drug delivery systems. Here, we have performed coarse-grained molecular dynamics simulations aimed at the effect of hydrophilic/hydrophobic properties of nanoparticles on the interaction with cell membranes (dipalmitoylphosphatidylcholine or DPPC bilayer). Two kinds of nanoparticles (hydrophobic and semihydrophilic) are modeled in the simulation. The results indicate that a hydrophobic nanoparticle can result in the inclusion into the bilayer, whereas a semihydrophilic nanoparticle is only found to adsorb into the membrane. For different system free energy profiles have been calculated to elucidate those phenomena. For the semihydrophilic nanoparticle case, we also discuss the potential substantial energy barrier of particle wrapping, implicating that the endocytosis-like mechanism is an energy-mediated process. The landscapes of the membrane fluctuation in the transitions imply that the deformation of the lipid bilayer induced by the addition of NPs is short-range, and the rearrangement of lipid molecules plays a significant role for morphological variations of NP-containing lipid membrane patches. These results show that the surface hydrophobicity can result in different response mechanisms of NP-biomembrane interactions.

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Metadata

Authors
Li, Y., Chen, X., & Gu, N.
Venue
The Journal of Physical Chemistry B
Published
2008-11-25
Volume
112
Issue
51
Pages
16647-16653
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W1987888610
Cited by
282
References
3
FWCI
2.73
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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