Zander Ulrich, Bourenkov Gleb, Popov Alexander N, de Sanctis Daniele, Svensson Olof, McCarthy Andrew A, Round Ekaterina, Gordeliy Valentin, Mueller-Dieckmann Christoph, Leonard Gordon A
Structural Biology Group, European Synchrotron Radiation Facility, CS 40220, 38043 Grenoble, France.
European Molecular Biology Laboratory, Hamburg Outstation, Notkestrasse 85, 22607 Hamburg, Germany.
Acta Crystallogr D Biol Crystallogr. 2015 Nov;71(Pt 11):2328-43. doi: 10.1107/S1399004715017927. Epub 2015 Oct 31.
Here, an automated procedure is described to identify the positions of many cryocooled crystals mounted on the same sample holder, to rapidly predict and rank their relative diffraction strengths and to collect partial X-ray diffraction data sets from as many of the crystals as desired. Subsequent hierarchical cluster analysis then allows the best combination of partial data sets, optimizing the quality of the final data set obtained. The results of applying the method developed to various systems and scenarios including the compilation of a complete data set from tiny crystals of the membrane protein bacteriorhodopsin and the collection of data sets for successful structure determination using the single-wavelength anomalous dispersion technique are also presented.
本文描述了一种自动化程序,用于识别安装在同一样品架上的多个低温冷却晶体的位置,快速预测并排列它们的相对衍射强度,并根据需要从尽可能多的晶体中收集部分X射线衍射数据集。随后的层次聚类分析可实现部分数据集的最佳组合,从而优化最终获得的数据集的质量。文中还展示了将所开发的方法应用于各种系统和场景的结果,包括从膜蛋白细菌视紫红质的微小晶体汇编完整数据集,以及使用单波长反常色散技术收集用于成功确定结构的数据集。