Aggregation and network formation in self-assembly of protein (H3.1) by a coarse-grained Monte Carlo simulation

2014 ◽  
Vol 141 (17) ◽  
pp. 175103 ◽  
Author(s):  
R. B. Pandey ◽  
B. L. Farmer
2016 ◽  
Author(s):  
Hai P. Le ◽  
Bokai Yan ◽  
Russel E. Caflisch ◽  
Jean-Luc Cambier

2020 ◽  
Vol 11 ◽  
pp. 884-890
Author(s):  
Łukasz Baran ◽  
Wojciech Rżysko ◽  
Edyta Słyk

We introduce a molecular dynamics (MD) coarse-grained model for the description of tripod building blocks. This model has been used by us already for linear, V-shape, and tetratopic molecules. We wanted to further extend its possibilities to trifunctional molecules to prove its versatility. For the chosen systems we have also compared the MD results with Monte Carlo results on a triangular lattice. We have shown that the constraints present in the latter method can enforce the formation of completely different structures, not reproducible with off-lattice simulations. In addition to that, we have characterized the obtained structures regarding various parameters such as theoretical diffraction pattern and average association number.


2013 ◽  
Vol 710 ◽  
pp. 716-719
Author(s):  
Bo Du ◽  
Zi Lu Wang ◽  
Xue Hao He

Understanding how nanoparticles self-assemble into specific structures is important in biology. The self-assembly structures of disc-shaped nanoparticles are investigated using Gay Berne potential. Through the simulated annealing Monte Carlo simulation underNVTcondition, we found that various nanostructures such as nematic phase and isotropic phase are discovered. The formation mechanism of these novel nanostructures is discussed.


RSC Advances ◽  
2017 ◽  
Vol 7 (61) ◽  
pp. 38666-38676 ◽  
Author(s):  
Yuping Sheng ◽  
Li Xia ◽  
Guanzhou Yang ◽  
Yiqing Xia ◽  
Yong Huang ◽  
...  

Janus particles were fabricated using different polymer mixtures and the self-assembly behavior for different particles was compared.


2016 ◽  
Vol 94 (6) ◽  
Author(s):  
Nikolai I. Lebovka ◽  
Nikolai V. Vygornitskii ◽  
Volodymyr A. Gigiberiya ◽  
Yuri Yu. Tarasevich

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