Page Rebecca
Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI, USA.
Methods Mol Biol. 2008;426:345-62. doi: 10.1007/978-1-60327-058-8_22.
The production of crystals suitable for high-resolution structure determination is still one of the major bottlenecks in the structure determination process. This is especially true in structural genomics (SG) consortia, where the implementation of protein-specific purification and optimization strategies is not readily implemented into the structure determination workflow. This chapter describes four strategies that have been implemented by a number of SG groups to increase the number of protein targets that resulted in atomic resolution structures: (1) orthologue screening; (2) the use of 1D (1)H NMR spectroscopy to screen for the folded state of a protein prior to crystallization; (3) deletion constructs generation, in which regions of the target protein predicted to be disordered are omitted from the construct, to maximize the likelihood of crystal formation; and (4) crystallization optimum solubility screening to identify more suitable buffers for a given protein. The implementation of these strategies can lead to a substantial increase in the number of protein structures solved. Finally, because these strategies do not require the implementation of expensive robotics, they are highly applicable not only for the SG community but also for academic laboratories.
生成适用于高分辨率结构测定的晶体仍然是结构测定过程中的主要瓶颈之一。在结构基因组学(SG)联盟中尤其如此,在那里蛋白质特异性纯化和优化策略的实施不容易融入到结构测定工作流程中。本章描述了一些SG团队实施的四种策略,以增加产生原子分辨率结构的蛋白质靶点数量:(1)直系同源物筛选;(2)在结晶前使用一维(1)H NMR光谱筛选蛋白质的折叠状态;(3)生成缺失构建体,其中从构建体中省略预测为无序的靶蛋白区域,以最大化晶体形成的可能性;以及(4)结晶最佳溶解度筛选,以确定给定蛋白质更合适的缓冲液。这些策略的实施可以导致解析出的蛋白质结构数量大幅增加。最后,由于这些策略不需要昂贵的机器人设备,它们不仅对SG群体非常适用,对学术实验室也非常适用。