Coarse-Grained Protein Dynamics Studies Using Elastic Network Models
Elastic networks have been used as simple models of proteins to study their slow structural dynamics. They consist of point-like particles connected by linear Hookean springs and hence are convenient for linear normal mode analysis around a given reference structure. Furthermore, dynamic simulations...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
|
Series: | International Journal of Molecular Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/1422-0067/19/12/3899 |
id |
doaj-59558a7e577441bd96351314745fad7f |
---|---|
record_format |
Article |
spelling |
doaj-59558a7e577441bd96351314745fad7f2020-11-24T23:58:06ZengMDPI AGInternational Journal of Molecular Sciences1422-00672018-12-011912389910.3390/ijms19123899ijms19123899Coarse-Grained Protein Dynamics Studies Using Elastic Network ModelsYuichi Togashi0Holger Flechsig1Research Center for the Mathematics on Chromatin Live Dynamics (RcMcD), Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8526, JapanNano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa 920-1192, JapanElastic networks have been used as simple models of proteins to study their slow structural dynamics. They consist of point-like particles connected by linear Hookean springs and hence are convenient for linear normal mode analysis around a given reference structure. Furthermore, dynamic simulations using these models can provide new insights. As the computational cost associated with these models is considerably lower compared to that of all-atom models, they are also convenient for comparative studies between multiple protein structures. In this review, we introduce examples of coarse-grained molecular dynamics studies using elastic network models and their derivatives, focusing on the nonlinear phenomena, and discuss their applicability to large-scale macromolecular assemblies.https://www.mdpi.com/1422-0067/19/12/3899elastic networkcoarse-grained modelmolecular dynamicsnormal mode analysisnonlinearityproteinmolecular machineallostery |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuichi Togashi Holger Flechsig |
spellingShingle |
Yuichi Togashi Holger Flechsig Coarse-Grained Protein Dynamics Studies Using Elastic Network Models International Journal of Molecular Sciences elastic network coarse-grained model molecular dynamics normal mode analysis nonlinearity protein molecular machine allostery |
author_facet |
Yuichi Togashi Holger Flechsig |
author_sort |
Yuichi Togashi |
title |
Coarse-Grained Protein Dynamics Studies Using Elastic Network Models |
title_short |
Coarse-Grained Protein Dynamics Studies Using Elastic Network Models |
title_full |
Coarse-Grained Protein Dynamics Studies Using Elastic Network Models |
title_fullStr |
Coarse-Grained Protein Dynamics Studies Using Elastic Network Models |
title_full_unstemmed |
Coarse-Grained Protein Dynamics Studies Using Elastic Network Models |
title_sort |
coarse-grained protein dynamics studies using elastic network models |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1422-0067 |
publishDate |
2018-12-01 |
description |
Elastic networks have been used as simple models of proteins to study their slow structural dynamics. They consist of point-like particles connected by linear Hookean springs and hence are convenient for linear normal mode analysis around a given reference structure. Furthermore, dynamic simulations using these models can provide new insights. As the computational cost associated with these models is considerably lower compared to that of all-atom models, they are also convenient for comparative studies between multiple protein structures. In this review, we introduce examples of coarse-grained molecular dynamics studies using elastic network models and their derivatives, focusing on the nonlinear phenomena, and discuss their applicability to large-scale macromolecular assemblies. |
topic |
elastic network coarse-grained model molecular dynamics normal mode analysis nonlinearity protein molecular machine allostery |
url |
https://www.mdpi.com/1422-0067/19/12/3899 |
work_keys_str_mv |
AT yuichitogashi coarsegrainedproteindynamicsstudiesusingelasticnetworkmodels AT holgerflechsig coarsegrainedproteindynamicsstudiesusingelasticnetworkmodels |
_version_ |
1725451978718314496 |