Laboratory of Biomolecular NMR, Institute for Research in Biomedicine, Parc Científic de Barcelona, Baldiri Reixac, 10-12, 08028, Barcelona, Spain.
Eur Biophys J. 2010 Apr;39(5):769-80. doi: 10.1007/s00249-009-0549-3. Epub 2009 Oct 21.
Multidomain proteins in which consecutive globular regions are connected by linkers are prevalent in nature (Levitt in Proc Natl Acad Sci USA 106:11079-11084, 2009). Some members of this family have largely resisted structural characterization as a result of challenges associated with their inherent flexibility. Small-angle scattering (SAS) is often the method of choice for their structural study. An extensive set of simulated data for both flexible and rigid multidomain systems was analyzed and modeled using standard protocols. This study clearly shows that SAXS profiles obtained from highly flexible proteins can be wrongly interpreted as arising from a rigid structure. In this context, it would be important to identify features from the SAXS data or from the derived structural models that indicate interdomain motions to differentiate between these two scenarios. Features of SAXS data that identify flexible proteins are: (1) general attenuation of fine structure in the scattering profiles, which becomes more dramatic in Kratky representations, and (2) a reduced number of interdomain correlation peaks in p(r) functions that also present large D (max) values and a smooth decrease to 0. When modeling this dynamically averaged SAXS data, the structures obtained present characteristic trends: (1) ab initio models display a decrease in resolution, and (2) rigid-body models present highly extended conformations with a lack of interdomain contacts. The ensemble optimization method represents an excellent strategy to identify interdomain motions unambiguously. This study provides information that should help researchers to select the best modeling strategy for the structural interpretation of SAS experiments of multidomain proteins.
多结构域蛋白中,连续的球状区域由连接子连接,在自然界中很普遍(Levitt 在《美国国家科学院院刊》106:11079-11084,2009 年)。由于其固有灵活性带来的挑战,该家族的一些成员在很大程度上仍难以进行结构表征。小角散射(SAS)通常是其结构研究的首选方法。对灵活和刚性多结构域系统的大量模拟数据进行了分析,并使用标准协议进行了建模。这项研究清楚地表明,来自高度灵活的蛋白质的 SAXS 图谱可能会被错误地解释为来自刚性结构。在这种情况下,从 SAXS 数据或衍生的结构模型中识别出指示结构域运动的特征,以区分这两种情况非常重要。可识别柔性蛋白质的 SAXS 数据特征有:(1)散射谱中精细结构的普遍衰减,在 Kratky 表示中变得更加明显;(2)p(r)函数中结构域间相关峰的数量减少,同时也呈现较大的 D(max)值和平滑下降至 0。当对这种动态平均 SAXS 数据进行建模时,获得的结构呈现出特征性趋势:(1)从头模型显示分辨率降低;(2)刚体模型呈现出高度伸展的构象,缺乏结构域间的接触。整体优化方法是一种明确识别结构域运动的优秀策略。这项研究提供了有助于研究人员选择最佳建模策略的信息,用于对多结构域蛋白的 SAS 实验进行结构解释。