Single-particle electron microscopy (EM) is a powerful tool for studying the structures of large biological molecules. However, the achievable resolution does not always allow for direct recognition of individual protein domains. Labels that can be visualized by EM have been developed for protein termini, but tagging internal domains remains a challenge. We describe a robust strategy for determining the position of internal sites within EM maps, termed domain localization by RCT sampling (DOLORS). DOLORS uses monovalent streptavidin added posttranslationally to tagged sites in the target protein. Internal labels generally display less conformational flexibility than terminal labels, providing more precise positional information. Automated methods are used to rapidly generate assemblies of unique 3D models allowing the attachment sites of labeled domains to be accurately identified and thus provide an overall architectural map of the molecule.

译文

单粒子电子显微镜 (EM) 是研究大型生物分子结构的有力工具。但是,可实现的分辨率并不总是允许直接识别单个蛋白质结构域。已经为蛋白质末端开发了可以通过EM可视化的标签,但是标记内部结构域仍然是一个挑战。我们描述了一种可靠的策略,用于确定EM映射中内部站点的位置,称为通过RCT采样 (DOLORS) 进行域定位。DOLORS使用翻译后添加到目标蛋白标记位点的单价链霉亲和素。内部标签通常比末端标签显示出较小的构象灵活性,从而提供更精确的位置信息。自动化方法用于快速生成独特3D模型的组件,从而可以准确识别标记域的附着位点,从而提供分子的整体结构图。

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