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Implementation of force distribution analysis for molecular dynamics simulations
BACKGROUND: The way mechanical stress is distributed inside and propagated by proteins and other biopolymers largely defines their function. Yet, determining the network of interactions propagating internal strain remains a challenge for both, experiment and theory. Based on molecular dynamics simul...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094238/ https://www.ncbi.nlm.nih.gov/pubmed/21501475 http://dx.doi.org/10.1186/1471-2105-12-101 |
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author | Stacklies, Wolfram Seifert, Christian Graeter, Frauke |
author_facet | Stacklies, Wolfram Seifert, Christian Graeter, Frauke |
author_sort | Stacklies, Wolfram |
collection | PubMed |
description | BACKGROUND: The way mechanical stress is distributed inside and propagated by proteins and other biopolymers largely defines their function. Yet, determining the network of interactions propagating internal strain remains a challenge for both, experiment and theory. Based on molecular dynamics simulations, we developed force distribution analysis (FDA), a method that allows visualizing strain propagation in macromolecules. RESULTS: To be immediately applicable to a wide range of systems, FDA was implemented as an extension to Gromacs, a commonly used package for molecular simulations. The FDA code comes with an easy-to-use command line interface and can directly be applied to every system built using Gromacs. We provide an additional R-package providing functions for advanced statistical analysis and presentation of the FDA data. CONCLUSIONS: Using FDA, we were able to explain the origin of mechanical robustness in immunoglobulin domains and silk fibers. By elucidating propagation of internal strain upon ligand binding, we previously also successfully revealed the functionality of a stiff allosteric protein. FDA thus has the potential to be a valuable tool in the investigation and rational design of mechanical properties in proteins and nano-materials. |
format | Text |
id | pubmed-3094238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30942382011-05-14 Implementation of force distribution analysis for molecular dynamics simulations Stacklies, Wolfram Seifert, Christian Graeter, Frauke BMC Bioinformatics Methodology Article BACKGROUND: The way mechanical stress is distributed inside and propagated by proteins and other biopolymers largely defines their function. Yet, determining the network of interactions propagating internal strain remains a challenge for both, experiment and theory. Based on molecular dynamics simulations, we developed force distribution analysis (FDA), a method that allows visualizing strain propagation in macromolecules. RESULTS: To be immediately applicable to a wide range of systems, FDA was implemented as an extension to Gromacs, a commonly used package for molecular simulations. The FDA code comes with an easy-to-use command line interface and can directly be applied to every system built using Gromacs. We provide an additional R-package providing functions for advanced statistical analysis and presentation of the FDA data. CONCLUSIONS: Using FDA, we were able to explain the origin of mechanical robustness in immunoglobulin domains and silk fibers. By elucidating propagation of internal strain upon ligand binding, we previously also successfully revealed the functionality of a stiff allosteric protein. FDA thus has the potential to be a valuable tool in the investigation and rational design of mechanical properties in proteins and nano-materials. BioMed Central 2011-04-18 /pmc/articles/PMC3094238/ /pubmed/21501475 http://dx.doi.org/10.1186/1471-2105-12-101 Text en Copyright ©2011 Stacklies et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Stacklies, Wolfram Seifert, Christian Graeter, Frauke Implementation of force distribution analysis for molecular dynamics simulations |
title | Implementation of force distribution analysis for molecular dynamics simulations |
title_full | Implementation of force distribution analysis for molecular dynamics simulations |
title_fullStr | Implementation of force distribution analysis for molecular dynamics simulations |
title_full_unstemmed | Implementation of force distribution analysis for molecular dynamics simulations |
title_short | Implementation of force distribution analysis for molecular dynamics simulations |
title_sort | implementation of force distribution analysis for molecular dynamics simulations |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3094238/ https://www.ncbi.nlm.nih.gov/pubmed/21501475 http://dx.doi.org/10.1186/1471-2105-12-101 |
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