Atomic-accuracy models from 4.5-Å cryo-electron microscopy data with density-guided iterative local refinement.

Atomic-accuracy models from 4.5-Å cryo-electron microscopy data with density-guided iterative local refinement.
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DOI:
10.1038/nmeth.3286
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发表时间:
2015-04
期刊:
影响因子:
48
通讯作者:
Baker, David
Baker, David
中科院分区:
生物学1区
文献类型:
--
作者:
DiMaio, Frank;Song, Yifan;Li, Xueming;Brunner, Matthias J.;Xu, Chunfu;Conticello, Vincent;Egelman, Edward;Marlovits, Thomas C.;Cheng, Yifan;Baker, David

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Direct electron detectors have made it possible to generate electron density maps at near atomic resolution using cryo-electron microscopy single particle reconstructions. Critical current questions include how best to build models into these maps, how high quality a map is required to generate an accurate model, and how to cross-validate models in a system independent way. We describe a modeling approach that integrates Monte Carlo optimization with local density guided moves, Rosetta all-atom refinement, and real space B-factor fitting, yielding accurate models from experimental maps for three different systems with resolutions 4.5 Å or higher. We characterize model accuracy as a function of data quality, and present a model validation statistic that correlates with model accuracy over the three test systems.
电子计数和束诱导运动校正可实现近原子分辨率的单粒子冷冻电镜。
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