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Structural modeling from electron microscopy data
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DOI：10.1002/wcms.1199.png)
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Abstract
En 中文
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. WIREs Comput Mol Sci 2015, 5:62-81. doi: 10.1002/wcms.1199 Conflict of interest: The authors have declared no conflicts of interest for this article. For further resources related to this article, please visit the .
Keywords:
RESOLUTION PROTEIN STRUCTURES
SECONDARY STRUCTURE ELEMENTS
CRYO-EM
CRYOELECTRON MICROSCOPY
DENSITY MAPS
ATOMIC STRUCTURES
26S PROTEASOME
INFORMATICS APPROACH
BETA-SHEETS
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