Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6924216 | Computers & Structures | 2018 | 12 Pages |
Abstract
Large-scale, functional collective motions of proteins and their supra-molecular assemblies occur in a physiological solvent environment at finite temperatures. The solution of these motions with standard molecular dynamics algorithms is computationally hardly possible when considering macromolecules. Much research has focused on alternative approaches that use coarse-graining to model proteins, but mostly in vacuum. In this paper, we incorporate realistically the physical effects of solvent damping into the finite element model of proteins. The proposed framework is based on Brownian dynamics and shown to be effective. An important advantage of the approach is that the computational cost is not dependent on the molecular size, which makes the long-time simulation of macromolecules possible. Using the proposed procedure, we demonstrate the analysis of a macromolecule in solvent-an analysis that has not been achieved before and could not be performed with a molecular dynamics algorithm.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Reza Sharifi Sedeh, Giseok Yun, Jae Young Lee, Klaus-Jürgen Bathe, Do-Nyun Kim,