Paper Title:
Computer Simulation of Vesicle Fusion
  Abstract

A dissipative particle dynamics simulation method is used to get insight into molecular-level details of vesicle fusion in this study. For simplicity, the simulation system contains water and amphiphiles. The fusion mechanism is investigated in detail. It is found that the whole fusion process is in well agreement with the “stalk-pore” hypothesis. The dynamics of vesicle fusion is analyzed by monitoring the time evolutions of morphologies.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
943-948
DOI
10.4028/www.scientific.net/KEM.474-476.943
Citation
S. G. Wu, H. X. Guo, "Computer Simulation of Vesicle Fusion", Key Engineering Materials, Vols. 474-476, pp. 943-948, 2011
Online since
April 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xiang Li, Yue Shun He, Xuan Zhan
Abstract:As various types of geo-environmental monitoring image instrument are sprouting up, there are more and more materials based on infrared,...
945
Authors: Chong Xian Felix Yeo, Kian Hwa Tan, Eng Lee Tan, Chu Sing Daniel Lim
Abstract:Cell-cell fusion is an important natural and engineered process for in-depth studies into hybridomas, developmental biology, immunology and...
207
Authors: Fang Juan Qi, Jian Li, Zhi Juan Yang, Min Fang
Mechanical Behavior & Fracture
Abstract:Investigation shows that one of the failure modes of HDPE pipe is the crack slowly grows across the thick direction and leads to failure at...
1116
Authors: Jian Liang Guo, Lian Qing Chen, Jun Chi, Xun Yang
Chapter 5: Advanced Machining and Materials Processing Technology
Abstract:Due to the difficulty of real-time directly measuring the surface roughness of workpiece, on-line control of grinding quality remains a...
1063
Authors: Wen Qiang Liu, Na Han, Man Yan, Gui Li Tao
Chapter 7: Computer-Aided Design and Technology
Abstract:For the single-channel autoregressive moving average (ARMA) signals with multisensor, and with unknown model parameters and noise variances,...
1768