Förster Friedrich, Webb Benjamin, Krukenberg Kristin A, Tsuruta Hiro, Agard David A, Sali Andrej
Department of Bioengineering and Therapeutic Sciences, University of California at San Francisco, San Francisco, CA 94158, USA.
J Mol Biol. 2008 Oct 17;382(4):1089-106. doi: 10.1016/j.jmb.2008.07.074. Epub 2008 Jul 31.
A major challenge in structural biology is to determine the configuration of domains and proteins in multidomain proteins and assemblies, respectively. All available data should be considered to maximize the accuracy and precision of these models. Small-angle X-ray scattering (SAXS) efficiently provides low-resolution experimental data about the shapes of proteins and their assemblies. Thus, we integrated SAXS profiles into our software for modeling proteins and their assemblies by satisfaction of spatial restraints. Specifically, we modeled the quaternary structures of multidomain proteins with structurally defined rigid domains as well as quaternary structures of binary complexes of structurally defined rigid proteins. In addition to SAXS profiles and the component structures, we used stereochemical restraints and an atomic distance-dependent statistical potential. The scoring function is optimized by a biased Monte Carlo protocol, including quasi-Newton and simulated annealing schemes. The final prediction corresponds to the best scoring solution in the largest cluster of many independently calculated solutions. To quantify how well the quaternary structures are determined based on their SAXS profiles, we used a benchmark of 12 simulated examples as well as an experimental SAXS profile of the homotetramer D-xylose isomerase. Optimization of the SAXS-dependent scoring function generally results in accurate models if sufficiently precise approximations for the constituent rigid bodies are available; otherwise, the best scoring models can have significant errors. Thus, SAXS profiles can play a useful role in the structural characterization of proteins and assemblies if they are combined with additional data and used judiciously. Our integration of a SAXS profile into modeling by satisfaction of spatial restraints will facilitate further integration of different kinds of data for structure determination of proteins and their assemblies.
结构生物学中的一个主要挑战是分别确定多结构域蛋白质中的结构域以及蛋白质组装体中蛋白质的构型。应考虑所有可用数据,以最大限度地提高这些模型的准确性和精确性。小角X射线散射(SAXS)能有效地提供有关蛋白质及其组装体形状的低分辨率实验数据。因此,我们将SAXS图谱整合到我们的软件中,通过满足空间约束来对蛋白质及其组装体进行建模。具体而言,我们对具有结构明确的刚性结构域的多结构域蛋白质的四级结构以及结构明确的刚性蛋白质的二元复合物的四级结构进行了建模。除了SAXS图谱和组成结构外,我们还使用了立体化学约束和原子距离依赖的统计势。评分函数通过一种有偏的蒙特卡罗协议进行优化,包括拟牛顿法和模拟退火方案。最终预测对应于许多独立计算的解决方案中最大聚类中的最佳评分解决方案。为了量化基于SAXS图谱确定四级结构的效果,我们使用了12个模拟示例的基准以及同源四聚体D - 木糖异构酶的实验SAXS图谱。如果对组成刚体有足够精确的近似值,基于SAXS的评分函数的优化通常会产生准确的模型;否则,最佳评分模型可能会有显著误差。因此,如果将SAXS图谱与其他数据结合并谨慎使用,它们可以在蛋白质及其组装体的结构表征中发挥有用作用。我们将SAXS图谱整合到通过满足空间约束进行的建模中,将有助于进一步整合不同类型的数据,以确定蛋白质及其组装体的结构。