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Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited
Cryo-Electron Microscopy (cryo-EM) of macromolecular complexes is a fundamental structural biology technique which is expanding at a very fast pace. Key to its success in elucidating the three-dimensional structure of a macromolecular complex, especially of small and non-symmetric ones, is the abili...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4585738/ https://www.ncbi.nlm.nih.gov/pubmed/26390853 http://dx.doi.org/10.1038/srep14290 |
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author | Sorzano, C. O. S. Alcorlo, M. de la Rosa-Trevín, J. M. Melero, R. Foche, I. Zaldívar-Peraza, A. del Cano, L. Vargas, J. Abrishami, V. Otón, J. Marabini, R. Carazo, J. M. |
author_facet | Sorzano, C. O. S. Alcorlo, M. de la Rosa-Trevín, J. M. Melero, R. Foche, I. Zaldívar-Peraza, A. del Cano, L. Vargas, J. Abrishami, V. Otón, J. Marabini, R. Carazo, J. M. |
author_sort | Sorzano, C. O. S. |
collection | PubMed |
description | Cryo-Electron Microscopy (cryo-EM) of macromolecular complexes is a fundamental structural biology technique which is expanding at a very fast pace. Key to its success in elucidating the three-dimensional structure of a macromolecular complex, especially of small and non-symmetric ones, is the ability to start from a low resolution map, which is subsequently refined with the actual images collected at the microscope. There are several methods to produce this first structure. Among them, Random Conical Tilt (RCT) plays a prominent role due to its unbiased nature (it can create an initial model based on experimental measurements). In this article, we revise the fundamental mathematical expressions supporting RCT, providing new expressions handling all key geometrical parameters without the need of intermediate operations, leading to improved automation and overall reliability, essential for the success of cryo-EM when analyzing new complexes. We show that the here proposed RCT workflow based on the new formulation performs very well in practical cases, requiring very few image pairs (as low as 13 image pairs in one of our examples) to obtain relevant 3D maps. |
format | Online Article Text |
id | pubmed-4585738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45857382015-09-29 Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited Sorzano, C. O. S. Alcorlo, M. de la Rosa-Trevín, J. M. Melero, R. Foche, I. Zaldívar-Peraza, A. del Cano, L. Vargas, J. Abrishami, V. Otón, J. Marabini, R. Carazo, J. M. Sci Rep Article Cryo-Electron Microscopy (cryo-EM) of macromolecular complexes is a fundamental structural biology technique which is expanding at a very fast pace. Key to its success in elucidating the three-dimensional structure of a macromolecular complex, especially of small and non-symmetric ones, is the ability to start from a low resolution map, which is subsequently refined with the actual images collected at the microscope. There are several methods to produce this first structure. Among them, Random Conical Tilt (RCT) plays a prominent role due to its unbiased nature (it can create an initial model based on experimental measurements). In this article, we revise the fundamental mathematical expressions supporting RCT, providing new expressions handling all key geometrical parameters without the need of intermediate operations, leading to improved automation and overall reliability, essential for the success of cryo-EM when analyzing new complexes. We show that the here proposed RCT workflow based on the new formulation performs very well in practical cases, requiring very few image pairs (as low as 13 image pairs in one of our examples) to obtain relevant 3D maps. Nature Publishing Group 2015-09-22 /pmc/articles/PMC4585738/ /pubmed/26390853 http://dx.doi.org/10.1038/srep14290 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 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/4.0/ |
spellingShingle | Article Sorzano, C. O. S. Alcorlo, M. de la Rosa-Trevín, J. M. Melero, R. Foche, I. Zaldívar-Peraza, A. del Cano, L. Vargas, J. Abrishami, V. Otón, J. Marabini, R. Carazo, J. M. Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited |
title | Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited |
title_full | Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited |
title_fullStr | Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited |
title_full_unstemmed | Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited |
title_short | Cryo-EM and the elucidation of new macromolecular structures: Random Conical Tilt revisited |
title_sort | cryo-em and the elucidation of new macromolecular structures: random conical tilt revisited |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4585738/ https://www.ncbi.nlm.nih.gov/pubmed/26390853 http://dx.doi.org/10.1038/srep14290 |
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