English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/167839
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Structural modeling from electron microscopy data

AuthorsLópez-Blanco, José R.; Chacón, Pablo
Issue Date2014
CitationWiley Interdisciplinary Reviews: Computational Molecular Science 5: 62- 81 (2014)
Abstract© 2014 John Wiley & Sons, Ltd. Cryo-electron microscopy is a powerful technique for the determination of three-dimensional (3D) structures of macromolecular machines, as it provides functional snapshots of biologically relevant complexes under near-physiological in vitro conditions. In this study, we review the computational algorithms developed to build macromolecular models from the information encoded in cryo-electron microscopy (EM) density maps. These modeling tools include fitting strategies to localize atomic structures into 3D maps, de novo methods to identify structural elements, and hybrid methods for the combination of multiple structural data from complementary biophysical techniques and other experimental sources. We also illustrate the power of EM-derived models in the atomic-level interpretation of the conformational changes of relevant macromolecular assemblies.
URIhttp://hdl.handle.net/10261/167839
Identifiersdoi: 10.1002/wcms.1199
issn: 1759-0884
Appears in Collections:(IQFR) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.