Continuous changes in structure mapped by manifold embedding of single-particle data in cryo-EM

被引:123
作者
Frank, Joachim [1 ,2 ]
Ourmazd, Abbas [3 ]
机构
[1] Columbia Univ, Howard Hughes Med Inst, Dept Biochem & Mol Biophys, New York, NY 10032 USA
[2] Columbia Univ, Dept Biol Sci, New York, NY 10027 USA
[3] Univ Wisconsin, Dept Phys, 3135 N Maryland Ave, Milwaukee, WI 53211 USA
基金
美国国家科学基金会;
关键词
Classification; Heterogeneity; Machine learning; Molecular machines; Protein synthesis; Ribosome; TRANSFER-RNA; ELECTRON CRYOMICROSCOPY; ITERATIVE CLASSIFICATION; RIBOSOME STRUCTURE; DYNAMICS; TRANSLOCATION; IMAGES; STATES; HETEROGENEITY; SUBUNIT;
D O I
10.1016/j.ymeth.2016.02.007
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Cryo-electron microscopy, when combined with single-particle reconstruction, is a powerful method for studying macromolecular structure. Recent developments in detector technology have pushed the resolution into a range comparable to that of X-ray crystallography. However, cryo-EM is able to separate and thus recover the structure of each of several discrete structures present in the sample. For the more general case involving continuous structural changes, a novel technique employing manifold embedding has been recently demonstrated. Potentially, the entire work-cycle of a molecular machine may be observed as it passes through a continuum of states, and its free-energy landscape may be mapped out. This technique will be outlined and discussed in the context of its application to a large single-particle dataset of yeast ribosomes. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:61 / 67
页数:7
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