Department of Chemistry, University of Washington, Seattle, WA 98195, USA.
Department of Pharmacology, University of Washington, Seattle, WA 98195, USA.
Cell Chem Biol. 2020 Aug 20;27(8):1084-1096.e4. doi: 10.1016/j.chembiol.2020.06.014. Epub 2020 Jul 9.
Solution-based structural techniques complement high-resolution structural data by providing insight into the oft-missed links between protein structure and dynamics. Here, we present Parallel Chemoselective Profiling, a solution-based structural method for characterizing protein structure and dynamics. Our method utilizes deep mutational scanning saturation mutagenesis data to install amino acid residues with specific chemistries at defined positions on the solvent-exposed surface of a protein. Differences in the extent of labeling of installed mutant residues are quantified using targeted mass spectrometry, reporting on each residue's local environment and structural dynamics. Using our method, we studied how conformation-selective, ATP-competitive inhibitors affect the local and global structure and dynamics of full-length Src kinase. Our results highlight how parallel chemoselective profiling can be used to study a dynamic multi-domain protein, and suggest that our method will be a useful addition to the relatively small toolkit of existing protein footprinting techniques.
基于溶液的结构技术通过提供对蛋白质结构和动力学之间经常被忽视的联系的深入了解,补充了高分辨率结构数据。在这里,我们提出了平行化学选择性分析,这是一种用于描述蛋白质结构和动力学的基于溶液的结构方法。我们的方法利用深度突变扫描饱和突变数据,在蛋白质溶剂暴露表面的特定位置安装具有特定化学性质的氨基酸残基。通过靶向质谱定量标记安装突变残基的程度,报告每个残基的局部环境和结构动力学。使用我们的方法,我们研究了构象选择性、ATP 竞争性抑制剂如何影响全长Src 激酶的局部和整体结构和动力学。我们的结果强调了平行化学选择性分析如何用于研究动态多结构域蛋白质,并表明我们的方法将是现有蛋白质足迹技术相对较小工具包的有用补充。