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Dissipative particle dynamics study of spontaneous vesicle formation of amphiphilic molecules

Yamamoto, Satoru, Maruyama, Yutaka, Hyodo, Shi-aki·2002·The Journal of Chemical Physics

Abstract

A dissipative particle dynamics (DPD) simulation has been used to study the spontaneous vesicle formation of amphiphilic molecules in aqueous solution. The amphiphilic molecule is represented by a coarse-grained model, which contains a hydrophilic head group and a hydrophobic tail. Water is also modeled by the same size particle as adopted in the amphiphile model, corresponding to a group of several H2O molecules. In the DPD simulation, from both a randomly dispersed system and a bilayer structure of the amphiphile for the initial condition, a spontaneous vesicle formation is observed through the intermediate state of an oblate micelle or a bilayer membrane. The membrane fluctuates and encapsulates water particles and then closes to form a vesicle. During the process of vesicle formation, the hydrophobic interaction energy between the amphiphile and water is diminishing. It is also recognized that the aggregation process is faster in two-tailed amphiphiles than those in the case of single-tailed ones.

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Metadata

Authors
Yamamoto, S., Maruyama, Y., & Hyodo, S.-A.
Venue
The Journal of Chemical Physics
Published
2002-04-01
Volume
116
Issue
13
Pages
5842-5849
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W1987348015
Cited by
370
References
0
FWCI
5.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dissipative particle dynamics study of spontaneous vesicle formation of amphiphilic molecules. https://app.cochat.ai/papers/10.1063/1.1456031
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Yamamoto, S., Maruyama, Y., & Hyodo, S.-A. (2002). Dissipative particle dynamics study of spontaneous vesicle formation of amphiphilic molecules. The Journal of Chemical Physics. https://doi.org/10.1063/1.1456031

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.