期刊
JOURNAL OF STRUCTURAL BIOLOGY
卷 184, 期 1, 页码 93-102出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2013.06.008
关键词
Electron microscopy; Structure fitting; Macromolecular structure modeling; Electron density map; Computational algorithm
资金
- National Institute of General Medical Sciences of the National Institutes of Health [R01GM075004, R01GM097528]
- National Science Foundation [IIS0915801, EF0850009, IOS1127027, DBI1262189]
- Emerging Frontiers
- Direct For Biological Sciences [0850009] Funding Source: National Science Foundation
Protein structure determination by cryo-electron microscopy (EM) has made significant progress in the past decades. Resolutions of EM maps have been improving as evidenced by recently reported structures that are solved at high resolutions close to 3 angstrom. computational methods play a key role in interpreting EM data. Among many computational procedures applied to an EM map to obtain protein structure information, in this article we focus on reviewing computational methods that model protein three-dimensional (3D) structures from a 3D EM density map that is constructed from two-dimensional (2D) maps. The computational methods we discuss range from de novo methods, which identify structural elements in an EM map, to structure fitting methods, where known high resolution structures are fit into a low-resolution EM map. A list of available computational tools is also provided. (C) 2013 Elsevier Inc. All rights reserved.
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