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Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps
Two structure determination methods, based on the molecular dynamics flexible fitting (MDFF) paradigm, are presented that resolve sub-5 Å cryo-electron microscopy (EM) maps with either single structures or ensembles of such structures. The methods, denoted cascade MDFF and resolution exchange MDFF,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990421/ https://www.ncbi.nlm.nih.gov/pubmed/27383269 http://dx.doi.org/10.7554/eLife.16105 |
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author | Singharoy, Abhishek Teo, Ivan McGreevy, Ryan Stone, John E Zhao, Jianhua Schulten, Klaus |
author_facet | Singharoy, Abhishek Teo, Ivan McGreevy, Ryan Stone, John E Zhao, Jianhua Schulten, Klaus |
author_sort | Singharoy, Abhishek |
collection | PubMed |
description | Two structure determination methods, based on the molecular dynamics flexible fitting (MDFF) paradigm, are presented that resolve sub-5 Å cryo-electron microscopy (EM) maps with either single structures or ensembles of such structures. The methods, denoted cascade MDFF and resolution exchange MDFF, sequentially re-refine a search model against a series of maps of progressively higher resolutions, which ends with the original experimental resolution. Application of sequential re-refinement enables MDFF to achieve a radius of convergence of ~25 Å demonstrated with the accurate modeling of β-galactosidase and TRPV1 proteins at 3.2 Å and 3.4 Å resolution, respectively. The MDFF refinements uniquely offer map-model validation and B-factor determination criteria based on the inherent dynamics of the macromolecules studied, captured by means of local root mean square fluctuations. The MDFF tools described are available to researchers through an easy-to-use and cost-effective cloud computing resource on Amazon Web Services. DOI: http://dx.doi.org/10.7554/eLife.16105.001 |
format | Online Article Text |
id | pubmed-4990421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-49904212016-08-19 Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps Singharoy, Abhishek Teo, Ivan McGreevy, Ryan Stone, John E Zhao, Jianhua Schulten, Klaus eLife Biophysics and Structural Biology Two structure determination methods, based on the molecular dynamics flexible fitting (MDFF) paradigm, are presented that resolve sub-5 Å cryo-electron microscopy (EM) maps with either single structures or ensembles of such structures. The methods, denoted cascade MDFF and resolution exchange MDFF, sequentially re-refine a search model against a series of maps of progressively higher resolutions, which ends with the original experimental resolution. Application of sequential re-refinement enables MDFF to achieve a radius of convergence of ~25 Å demonstrated with the accurate modeling of β-galactosidase and TRPV1 proteins at 3.2 Å and 3.4 Å resolution, respectively. The MDFF refinements uniquely offer map-model validation and B-factor determination criteria based on the inherent dynamics of the macromolecules studied, captured by means of local root mean square fluctuations. The MDFF tools described are available to researchers through an easy-to-use and cost-effective cloud computing resource on Amazon Web Services. DOI: http://dx.doi.org/10.7554/eLife.16105.001 eLife Sciences Publications, Ltd 2016-07-07 /pmc/articles/PMC4990421/ /pubmed/27383269 http://dx.doi.org/10.7554/eLife.16105 Text en © 2016, Singharoy et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Biophysics and Structural Biology Singharoy, Abhishek Teo, Ivan McGreevy, Ryan Stone, John E Zhao, Jianhua Schulten, Klaus Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps |
title | Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps |
title_full | Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps |
title_fullStr | Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps |
title_full_unstemmed | Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps |
title_short | Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps |
title_sort | molecular dynamics-based refinement and validation for sub-5 å cryo-electron microscopy maps |
topic | Biophysics and Structural Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990421/ https://www.ncbi.nlm.nih.gov/pubmed/27383269 http://dx.doi.org/10.7554/eLife.16105 |
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