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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2014
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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. |
format | Online Article Text |
id | pubmed-4171755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
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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