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An atomic model of brome mosaic virus using direct electron detection and real-space optimization
Advances in electron cryo-microscopy have enabled structure determination of macromolecules at near-atomic resolution. However, structure determination, even using de novo methods, remains susceptible to model bias and overfitting. Here we describe a complete workflow for data acquisition, image pro...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4155512/ https://www.ncbi.nlm.nih.gov/pubmed/25185801 http://dx.doi.org/10.1038/ncomms5808 |
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author | Wang, Zhao Hryc, Corey F. Bammes, Benjamin Afonine, Pavel V. Jakana, Joanita Chen, Dong-Hua Liu, Xiangan Baker, Matthew L. Kao, Cheng Ludtke, Steven J. Schmid, Michael F. Adams, Paul D. Chiu, Wah |
author_facet | Wang, Zhao Hryc, Corey F. Bammes, Benjamin Afonine, Pavel V. Jakana, Joanita Chen, Dong-Hua Liu, Xiangan Baker, Matthew L. Kao, Cheng Ludtke, Steven J. Schmid, Michael F. Adams, Paul D. Chiu, Wah |
author_sort | Wang, Zhao |
collection | PubMed |
description | Advances in electron cryo-microscopy have enabled structure determination of macromolecules at near-atomic resolution. However, structure determination, even using de novo methods, remains susceptible to model bias and overfitting. Here we describe a complete workflow for data acquisition, image processing, all-atom modelling and validation of brome mosaic virus, an RNA virus. Data were collected with a direct electron detector in integrating mode and an exposure beyond the traditional radiation damage limit. The final density map has a resolution of 3.8 Å as assessed by two independent data sets and maps. We used the map to derive an all-atom model with a newly implemented real-space optimization protocol. The validity of the model was verified by its match with the density map and a previous model from X-ray crystallography, as well as the internal consistency of models from independent maps. This study demonstrates a practical approach to obtain a rigorously validated atomic resolution electron cryo-microscopy structure. |
format | Online Article Text |
id | pubmed-4155512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Pub. Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41555122014-09-22 An atomic model of brome mosaic virus using direct electron detection and real-space optimization Wang, Zhao Hryc, Corey F. Bammes, Benjamin Afonine, Pavel V. Jakana, Joanita Chen, Dong-Hua Liu, Xiangan Baker, Matthew L. Kao, Cheng Ludtke, Steven J. Schmid, Michael F. Adams, Paul D. Chiu, Wah Nat Commun Article Advances in electron cryo-microscopy have enabled structure determination of macromolecules at near-atomic resolution. However, structure determination, even using de novo methods, remains susceptible to model bias and overfitting. Here we describe a complete workflow for data acquisition, image processing, all-atom modelling and validation of brome mosaic virus, an RNA virus. Data were collected with a direct electron detector in integrating mode and an exposure beyond the traditional radiation damage limit. The final density map has a resolution of 3.8 Å as assessed by two independent data sets and maps. We used the map to derive an all-atom model with a newly implemented real-space optimization protocol. The validity of the model was verified by its match with the density map and a previous model from X-ray crystallography, as well as the internal consistency of models from independent maps. This study demonstrates a practical approach to obtain a rigorously validated atomic resolution electron cryo-microscopy structure. Nature Pub. Group 2014-09-04 /pmc/articles/PMC4155512/ /pubmed/25185801 http://dx.doi.org/10.1038/ncomms5808 Text en Copyright © 2014, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Article Wang, Zhao Hryc, Corey F. Bammes, Benjamin Afonine, Pavel V. Jakana, Joanita Chen, Dong-Hua Liu, Xiangan Baker, Matthew L. Kao, Cheng Ludtke, Steven J. Schmid, Michael F. Adams, Paul D. Chiu, Wah An atomic model of brome mosaic virus using direct electron detection and real-space optimization |
title | An atomic model of brome mosaic virus using direct electron detection and real-space optimization |
title_full | An atomic model of brome mosaic virus using direct electron detection and real-space optimization |
title_fullStr | An atomic model of brome mosaic virus using direct electron detection and real-space optimization |
title_full_unstemmed | An atomic model of brome mosaic virus using direct electron detection and real-space optimization |
title_short | An atomic model of brome mosaic virus using direct electron detection and real-space optimization |
title_sort | atomic model of brome mosaic virus using direct electron detection and real-space optimization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4155512/ https://www.ncbi.nlm.nih.gov/pubmed/25185801 http://dx.doi.org/10.1038/ncomms5808 |
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