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通过密度修正提高冷冻电镜图谱质量。

Improvement of cryo-EM maps by density modification.

机构信息

Los Alamos National Laboratory, Los Alamos, NM, USA.

New Mexico Consortium, Los Alamos, NM, USA.

出版信息

Nat Methods. 2020 Sep;17(9):923-927. doi: 10.1038/s41592-020-0914-9. Epub 2020 Aug 17.

Abstract

A density-modification procedure for improving maps from single-particle electron cryogenic microscopy (cryo-EM) is presented. The theoretical basis of the method is identical to that of maximum-likelihood density modification, previously used to improve maps from macromolecular X-ray crystallography. Key differences from applications in crystallography are that the errors in Fourier coefficients are largely in the phases in crystallography but in both phases and amplitudes in cryo-EM, and that half-maps with independent errors are available in cryo-EM. These differences lead to a distinct approach for combination of information from starting maps with information obtained in the density-modification process. The density-modification procedure was applied to a set of 104 datasets and improved map-model correlation and increased the visibility of details in many of the maps. The procedure requires two unmasked half-maps and a sequence file or other source of information on the volume of the macromolecule that has been imaged.

摘要

本文提出了一种改进单颗粒电子低温显微镜(cryo-EM)数据图的密度修正方法。该方法的理论基础与最大似然密度修正相同,该方法之前曾被用于改进大分子 X 射线晶体学的数据图。与晶体学应用的主要区别在于,傅里叶系数中的误差在晶体学中主要是相位,但在 cryo-EM 中则是相位和幅度,并且在 cryo-EM 中可以获得具有独立误差的半图。这些差异导致了一种与从起始数据图与密度修正过程中获得的信息相结合的独特方法。该密度修正方法应用于一组 104 个数据集,提高了数据图模型的相关性,并增加了许多数据图中细节的可见度。该方法需要两个未掩蔽的半图以及序列文件或已成像的大分子体积的其他信息源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddb/7484085/d52d20f5e558/nihms-1610257-f0001.jpg

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