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Quantitative Mapping of Protein Structure by Hydroxyl Radical Footprinting-Mediated Structural Mass Spectrometry: A Protection Factor Analysis

机译:通过羟基自由基足迹介导的结构质谱对蛋白质结构进行定量定位:保护因子分析

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Measurements from hydroxyl radical footprinting (HRF) provide rich information about the solvent accessibility of amino acid side chains of a protein. Traditional HRF data analyses focus on comparing the difference in the modification/footprinting rate of a specific site to infer structural changes across two protein states, e.g., between a free and ligand-bound state. However, the rate information itself is not fully used for the purpose of comparing different protein sites within a protein on an absolute scale. To provide such a cross-site comparison, we present a new, to our knowledge, data analysis algorithm to convert the measured footprinting rate constant to a protection factor (PF) by taking into account the known intrinsic reactivity of amino acid side chain. To examine the extent to which PFs can be used for structural interpretation, this PF analysis is applied to three model systems where radiolytic footprinting data are reported in the literature. By visualizing structures colored with the PF values for individual peptides, a rational view of the structural features of various protein sites regarding their solvent accessibility is revealed, where high-PF regions are buried and low-PF regions are more exposed to the solvent. Furthermore, a detailed analysis correlating solvent accessibility and local structural contacts for gelsolin shows a statistically significant agreement between PF values and various structure measures, demonstrating that the PFs derived from this PF analysis readily explain fundamental HRF rate measurements. We also tested this PF analysis on alternative, chemical-based HRF data, showing improved correlations of structural properties of a model protein barstar compared to examining HRF rate data alone. Together, this PF analysis not only permits a novel, to our knowledge, approach of mapping protein structures by using footprinting data, but also elevates the use of HRF measurements from a qualitative, cross-state comparison to a quantitative, cross-site assessment of protein structures in the context of individual conformational states of interest.
机译:羟基自由基足迹(HRF)的测量提供了有关蛋白质氨基酸侧链的溶剂可及性的丰富信息。传统的HRF数据分析的重点是比较特定位点修饰/覆盖率的差异,以推断两种蛋白质状态(例如游离状态和配体结合状态)之间的结构变化。但是,速率信息本身并未完全用于以绝对规模比较蛋白质中不同蛋白质位点的目的。为了提供这种跨站点比较,我们提供了一种新的数据分析算法,据我们所知,该算法通过考虑氨基酸侧链的已知固有反应性,将测得的足迹速率常数转换为保护因子(PF)。为了检查可将PF用于结构解释的程度,此PF分析应用于三个模型系统,文献中报道了辐射分解足迹数据。通过可视化各个肽的PF值着色的结构,可以揭示各种蛋白质位点关于其溶剂可及性的结构特征的合理视图,其中高PF区被掩埋,低PF区更多地暴露于溶剂。此外,有关凝溶胶蛋白的溶剂可及性与局部结构接触的详细分析显示,PF值与各种结构测量之间在统计学上具有显着一致性,表明从该PF分析中得出的PF可以轻松解释基本HRF速率测量。我们还对基于化学的HRF替代数据测试了该PF分析,与仅检查HRF速率数据相比,该模型分析显示了模型蛋白质Barstar结构特性的改进相关性。总而言之,这种PF分析不仅允许我们使用足迹数据对蛋白质结构进行图谱绘制的新颖方法,而且还可以将HRF测量的使用从定性,跨状态比较升级为定量,跨站点评估。感兴趣的个体构象状态下的蛋白质结构。

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