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The power of coarse graining in biomolecular simulations

Computational modeling of biological systems is challenging because of the multitude of spatial and temporal scales involved. Replacing atomistic detail with lower resolution, coarse grained (CG), beads has opened the way to simulate large-scale biomolecular processes on time scales inaccessible to...

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Autores principales: Ingólfsson, Helgi I, Lopez, Cesar A, Uusitalo, Jaakko J, de Jong, Djurre H, Gopal, Srinivasa M, Periole, Xavier, Marrink, Siewert J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171755/
https://www.ncbi.nlm.nih.gov/pubmed/25309628
http://dx.doi.org/10.1002/wcms.1169
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author Ingólfsson, Helgi I
Lopez, Cesar A
Uusitalo, Jaakko J
de Jong, Djurre H
Gopal, Srinivasa M
Periole, Xavier
Marrink, Siewert J
author_facet Ingólfsson, Helgi I
Lopez, Cesar A
Uusitalo, Jaakko J
de Jong, Djurre H
Gopal, Srinivasa M
Periole, Xavier
Marrink, Siewert J
author_sort Ingólfsson, Helgi I
collection PubMed
description Computational modeling of biological systems is challenging because of the multitude of spatial and temporal scales involved. Replacing atomistic detail with lower resolution, coarse grained (CG), beads has opened the way to simulate large-scale biomolecular processes on time scales inaccessible to all-atom models. We provide an overview of some of the more popular CG models used in biomolecular applications to date, focusing on models that retain chemical specificity. A few state-of-the-art examples of protein folding, membrane protein gating and self-assembly, DNA hybridization, and modeling of carbohydrate fibers are used to illustrate the power and diversity of current CG modeling.
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spelling pubmed-41717552014-10-08 The power of coarse graining in biomolecular simulations Ingólfsson, Helgi I Lopez, Cesar A Uusitalo, Jaakko J de Jong, Djurre H Gopal, Srinivasa M Periole, Xavier Marrink, Siewert J Wiley Interdiscip Rev Comput Mol Sci Advanced Reviews Computational modeling of biological systems is challenging because of the multitude of spatial and temporal scales involved. Replacing atomistic detail with lower resolution, coarse grained (CG), beads has opened the way to simulate large-scale biomolecular processes on time scales inaccessible to all-atom models. We provide an overview of some of the more popular CG models used in biomolecular applications to date, focusing on models that retain chemical specificity. A few state-of-the-art examples of protein folding, membrane protein gating and self-assembly, DNA hybridization, and modeling of carbohydrate fibers are used to illustrate the power and diversity of current CG modeling. Blackwell Publishing Ltd 2014-05 2013-08-27 /pmc/articles/PMC4171755/ /pubmed/25309628 http://dx.doi.org/10.1002/wcms.1169 Text en © 2013 John Wiley & Sons, Ltd. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Advanced Reviews
Ingólfsson, Helgi I
Lopez, Cesar A
Uusitalo, Jaakko J
de Jong, Djurre H
Gopal, Srinivasa M
Periole, Xavier
Marrink, Siewert J
The power of coarse graining in biomolecular simulations
title The power of coarse graining in biomolecular simulations
title_full The power of coarse graining in biomolecular simulations
title_fullStr The power of coarse graining in biomolecular simulations
title_full_unstemmed The power of coarse graining in biomolecular simulations
title_short The power of coarse graining in biomolecular simulations
title_sort power of coarse graining in biomolecular simulations
topic Advanced Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171755/
https://www.ncbi.nlm.nih.gov/pubmed/25309628
http://dx.doi.org/10.1002/wcms.1169
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