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用于柔性单颗粒重建的粒子分割算法

Particle segmentation algorithm for flexible single particle reconstruction.

作者信息

Zhou Qiang, Zhou Niyun, Wang Hong-Wei

机构信息

State Key Laboratory of Biomembrane and Membrane Biotechnology, Center for Structural Biology, School of Life Sciences, Tsinghua University, Beijing, 100084 China.

Ministry of Education Key Laboratory of Protein Science, Tsinghua-Peking Joint Center for Life Sciences, Center for Structural Biology, School of Life Sciences, Tsinghua University, Beijing, 100084 China.

出版信息

Biophys Rep. 2017;3(1):43-55. doi: 10.1007/s41048-017-0038-7. Epub 2017 May 19.

DOI:10.1007/s41048-017-0038-7
PMID:28782000
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5515998/
Abstract

As single particle cryo-electron microscopy has evolved to a new era of atomic resolution, sample heterogeneity still imposes a major limit to the resolution of many macromolecular complexes, especially those with continuous conformational flexibility. Here, we describe a particle segmentation algorithm towards solving structures of molecules composed of several parts that are relatively flexible with each other. In this algorithm, the different parts of a target molecule are segmented from raw images according to their alignment information obtained from a preliminary 3D reconstruction and are subjected to single particle processing in an iterative manner. This algorithm was tested on both simulated and experimental data and showed improvement of 3D reconstruction resolution of each segmented part of the molecule than that of the entire molecule.

摘要

随着单颗粒冷冻电子显微镜技术发展到原子分辨率的新时代,样品的异质性仍然是许多大分子复合物分辨率的主要限制因素,尤其是那些具有连续构象灵活性的复合物。在此,我们描述了一种颗粒分割算法,用于解析由几个相对彼此灵活的部分组成的分子结构。在该算法中,目标分子的不同部分根据从初步三维重建获得的对齐信息从原始图像中分割出来,并以迭代方式进行单颗粒处理。该算法在模拟数据和实验数据上均进行了测试,结果表明,与整个分子相比,分子各分割部分的三维重建分辨率有所提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/a26b691286fd/41048_2017_38_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/19de7da83922/41048_2017_38_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/5f0eab19e0cc/41048_2017_38_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/6a5933ef3ef3/41048_2017_38_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/1d68d371b8dd/41048_2017_38_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/23dae1981acf/41048_2017_38_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/0e1c7d2b973f/41048_2017_38_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/a26b691286fd/41048_2017_38_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/19de7da83922/41048_2017_38_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/5f0eab19e0cc/41048_2017_38_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/6a5933ef3ef3/41048_2017_38_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/1d68d371b8dd/41048_2017_38_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/23dae1981acf/41048_2017_38_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/0e1c7d2b973f/41048_2017_38_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6caf/5515998/a26b691286fd/41048_2017_38_Fig7_HTML.jpg

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