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Deciphering Solution Scattering Data with Experimentally Guided Molecular Dynamics Simulations
[Image: see text] Time-resolved X-ray solution scattering is an increasingly popular method to measure conformational changes in proteins. Extracting structural information from the resulting difference X-ray scattering data is a daunting task. We present a method in which the limited but precious i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4325560/ https://www.ncbi.nlm.nih.gov/pubmed/25688181 http://dx.doi.org/10.1021/ct5009735 |
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author | Björling, Alexander Niebling, Stephan Marcellini, Moreno van der Spoel, David Westenhoff, Sebastian |
author_facet | Björling, Alexander Niebling, Stephan Marcellini, Moreno van der Spoel, David Westenhoff, Sebastian |
author_sort | Björling, Alexander |
collection | PubMed |
description | [Image: see text] Time-resolved X-ray solution scattering is an increasingly popular method to measure conformational changes in proteins. Extracting structural information from the resulting difference X-ray scattering data is a daunting task. We present a method in which the limited but precious information encoded in such scattering curves is combined with the chemical knowledge of molecular force fields. The molecule of interest is then refined toward experimental data using molecular dynamics simulation. Therefore, the energy landscape is biased toward conformations that agree with experimental data. We describe and verify the method, and we provide an implementation in GROMACS. |
format | Online Article Text |
id | pubmed-4325560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-43255602015-02-14 Deciphering Solution Scattering Data with Experimentally Guided Molecular Dynamics Simulations Björling, Alexander Niebling, Stephan Marcellini, Moreno van der Spoel, David Westenhoff, Sebastian J Chem Theory Comput [Image: see text] Time-resolved X-ray solution scattering is an increasingly popular method to measure conformational changes in proteins. Extracting structural information from the resulting difference X-ray scattering data is a daunting task. We present a method in which the limited but precious information encoded in such scattering curves is combined with the chemical knowledge of molecular force fields. The molecule of interest is then refined toward experimental data using molecular dynamics simulation. Therefore, the energy landscape is biased toward conformations that agree with experimental data. We describe and verify the method, and we provide an implementation in GROMACS. American Chemical Society 2015-01-13 2015-02-10 /pmc/articles/PMC4325560/ /pubmed/25688181 http://dx.doi.org/10.1021/ct5009735 Text en Copyright © 2015 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Björling, Alexander Niebling, Stephan Marcellini, Moreno van der Spoel, David Westenhoff, Sebastian Deciphering Solution Scattering Data with Experimentally Guided Molecular Dynamics Simulations |
title | Deciphering
Solution Scattering Data with Experimentally
Guided Molecular Dynamics Simulations |
title_full | Deciphering
Solution Scattering Data with Experimentally
Guided Molecular Dynamics Simulations |
title_fullStr | Deciphering
Solution Scattering Data with Experimentally
Guided Molecular Dynamics Simulations |
title_full_unstemmed | Deciphering
Solution Scattering Data with Experimentally
Guided Molecular Dynamics Simulations |
title_short | Deciphering
Solution Scattering Data with Experimentally
Guided Molecular Dynamics Simulations |
title_sort | deciphering
solution scattering data with experimentally
guided molecular dynamics simulations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4325560/ https://www.ncbi.nlm.nih.gov/pubmed/25688181 http://dx.doi.org/10.1021/ct5009735 |
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