An extended dissipative particle dynamics model

2003 ◽  
Vol 64 (6) ◽  
pp. 723-729 ◽  
Author(s):  
C. J Cotter ◽  
S Reich
2008 ◽  
Vol 34 (8) ◽  
pp. 737-748 ◽  
Author(s):  
Orly Liba ◽  
David Kauzlarić ◽  
Zeév R. Abrams ◽  
Yael Hanein ◽  
Andreas Greiner ◽  
...  

2018 ◽  
Vol 30 (3) ◽  
pp. 033301 ◽  
Author(s):  
Alexander Panchenko ◽  
Denis F. Hinz ◽  
Eliot Fried

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
P. M. Pieczywek ◽  
W. Płaziński ◽  
A. Zdunek

Abstract In this study we present an alternative dissipative particle dynamics (DPD) parametrization strategy based on data extracted from the united-atom molecular simulations. The model of the homogalacturonan was designed to test the ability of the formation of large-scale structures via hydrogen bonding in water. The extraction of coarse-grained parameters from atomistic molecular dynamics was achieved by means of the proposed molecule aggregation algorithm based on an iterative nearest neighbour search. A novel approach to a time-scale calibration scheme based on matching the average velocities of coarse-grained particles enabled the DPD forcefield to reproduce essential structural features of homogalacturonan molecular chains. The successful application of the proposed parametrization method allowed for the reproduction of the shapes of radial distribution functions, particle velocities and diffusivity of the atomistic molecular dynamics model using DPD force field. The structure of polygalacturonic acid molecules was mapped into the DPD force field by means of the distance and angular bond characteristics, which closely matched the MD results. The resulting DPD trajectories showed that randomly dispersed homogalacturonan chains had a tendency to aggregate into highly organized 3D structures. The final structure resembled a three-dimensional network created by tightly associated homogalacturonan chains organized into thick fibres.


2016 ◽  
Vol 94 (2) ◽  
Author(s):  
Huan Lei ◽  
Nathan A. Baker ◽  
Lei Wu ◽  
Gregory K. Schenter ◽  
Christopher J. Mundy ◽  
...  

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