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边缘分水岭分割:一种用于电子冷冻显微镜低分辨率图谱分割的半交互式算法。

Edged watershed segmentation: a semi-interactive algorithm for segmentation of low-resolution maps from electron cryomicroscopy.

机构信息

The Hospital for Sick Children Research Institute, 555 University Avenue, Toronto, Ontario, Canada.

出版信息

J Struct Biol. 2011 Oct;176(1):127-32. doi: 10.1016/j.jsb.2011.06.012. Epub 2011 Jul 6.

Abstract

Electron cryomicroscopy (cryo-EM) allows for the structural analysis of large protein complexes that may be difficult to study by other means. Frequently, maps of complexes from cryo-EM are obtained at resolutions between 10 and 25Å. To aid in the interpretation of these medium- to low-resolution maps, they may be subdivided into three-dimensional segments representing subunits or subcomplexes. This division is often accomplished using a manual segmentation approach. While extremely useful, manual segmentation is subjective. We have developed a novel semi-interactive segmentation algorithm that can incorporate prior knowledge of subunit composition or structure without biasing the boundaries between subunits or subcomplexes. This algorithm has been characterized with experimental and simulated cryo-EM density maps at resolutions between 10 and 25Å.

摘要

电子冷冻显微镜(cryo-EM)可用于分析大型蛋白质复合物的结构,这些复合物可能难以通过其他方法进行研究。通常,通过 cryo-EM 获得的复合物图谱的分辨率在 10 到 25Å 之间。为了帮助解释这些中低分辨率图谱,可以将其划分为代表亚基或亚复合物的三维片段。这种划分通常使用手动分割方法完成。虽然非常有用,但手动分割是主观的。我们开发了一种新颖的半交互式分割算法,该算法可以在不偏向亚基或亚复合物之间边界的情况下,结合亚基组成或结构的先验知识。该算法已通过分辨率在 10 到 25Å 之间的实验和模拟 cryo-EM 密度图进行了特征描述。

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