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使用Bsoft从电子显微照片进行生物分子结构的高分辨率重建和验证的指南。

Guidelines for using Bsoft for high resolution reconstruction and validation of biomolecular structures from electron micrographs.

作者信息

Heymann J Bernard

机构信息

Laboratory for Structural Biology Research, National Institute of Arthritis, Musculoskeletal and Skin Diseases, NIH, Bethesda, Maryland, 20892.

出版信息

Protein Sci. 2018 Jan;27(1):159-171. doi: 10.1002/pro.3293. Epub 2017 Oct 9.

Abstract

Cryo-electron microscopy (cryoEM) is becoming popular as a tool to solve biomolecular structures with the recent availability of direct electron detectors allowing automated acquisition of high resolution data. The Bsoft software package, developed over 20 years for analyzing electron micrographs, offers a full workflow for validated single particle analysis with extensive functionality, enabling customization for specific cases. With the increasing use of cryoEM and its automation, proper validation of the results is a bigger concern. The three major validation approaches, independent data sets, resolution-limited processing, and coherence testing, can be incorporated into any Bsoft workflow. Here, the main workflow is divided into four phases: (i) micrograph preprocessing, (ii) particle picking, (iii) particle alignment and reconstruction, and (iv) interpretation. Each of these phases represents a conceptual unit that can be automated, followed by a check point to assess the results. The aim in the first three phases is to reconstruct one or more validated maps at the best resolution possible. Map interpretation then involves identification of components, segmentation, quantification, and modeling. The algorithms in Bsoft are well established, with future plans focused on ease of use, automation and institutionalizing validation.

摘要

随着直接电子探测器的出现,能够自动采集高分辨率数据,低温电子显微镜(cryoEM)作为一种解析生物分子结构的工具正变得越来越流行。Bsoft软件包经过20多年的开发用于分析电子显微照片,它提供了一个完整的工作流程,用于经过验证的单颗粒分析,具有广泛的功能,能够针对特定情况进行定制。随着cryoEM的使用日益增加及其自动化程度的提高,对结果进行适当验证成为一个更大的问题。三种主要的验证方法,即独立数据集、分辨率受限处理和相干测试,可以纳入任何Bsoft工作流程。在此,主要工作流程分为四个阶段:(i)显微照片预处理,(ii)颗粒挑选,(iii)颗粒对齐和重建,以及(iv)解释。这些阶段中的每一个都代表一个可以自动化的概念单元,随后是一个评估结果的检查点。前三个阶段的目标是尽可能以最佳分辨率重建一个或多个经过验证的图谱。图谱解释然后涉及成分识别、分割、量化和建模。Bsoft中的算法已经很成熟,未来的计划集中在易用性、自动化和将验证制度化方面。

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