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通过遗传算法从X射线散射中获取的溶液中蛋白质的低分辨率结构。

Low-resolution structures of proteins in solution retrieved from X-ray scattering with a genetic algorithm.

作者信息

Chacón P, Morán F, Díaz J F, Pantos E, Andreu J M

机构信息

Centro de Investigaciones Biológicas, C.S.I.C. Velázquez 144, Madrid, Spain.

出版信息

Biophys J. 1998 Jun;74(6):2760-75. doi: 10.1016/S0006-3495(98)77984-6.

Abstract

Small-angle x-ray solution scattering (SAXS) is analyzed with a new method to retrieve convergent model structures that fit the scattering profiles. An arbitrary hexagonal packing of several hundred beads containing the problem object is defined. Instead of attempting to compute the Debye formula for all of the possible mass distributions, a genetic algorithm is employed that efficiently searches the configurational space and evolves best-fit bead models. Models from different runs of the algorithm have similar or identical structures. The modeling resolution is increased by reducing the bead radius together with the search space in successive cycles of refinement. The method has been tested with protein SAXS (0.001 < S < 0.06 A(-1)) calculated from x-ray crystal structures, adding noise to the profiles. The models obtained closely approach the volumes and radii of gyration of the known structures, and faithfully reproduce the dimensions and shape of each of them. This includes finding the active site cavity of lysozyme, the bilobed structure of gamma-crystallin, two domains connected by a stalk in betab2-crystallin, and the horseshoe shape of pancreatic ribonuclease inhibitor. The low-resolution solution structure of lysozyme has been directly modeled from its experimental SAXS profile (0.003 < S < 0.03 A(-1)). The model describes lysozyme size and shape to the resolution of the measurement. The method may be applied to other proteins, to the analysis of domain movements, to the comparison of solution and crystal structures, as well as to large macromolecular assemblies.

摘要

采用一种新方法对小角X射线溶液散射(SAXS)进行分析,以获取符合散射曲线的收敛模型结构。定义了包含目标物体的数百个珠子的任意六边形堆积。不是尝试计算所有可能质量分布的德拜公式,而是采用遗传算法,该算法能有效地搜索构型空间并演化出最佳拟合的珠子模型。算法不同运行得到的模型具有相似或相同的结构。通过在连续的细化循环中减小珠子半径和搜索空间来提高建模分辨率。该方法已用从X射线晶体结构计算得到的蛋白质SAXS(0.001 < S < 0.06 Å⁻¹)进行了测试,并在曲线上添加了噪声。得到的模型非常接近已知结构的体积和回转半径,并忠实地再现了它们各自的尺寸和形状。这包括找到溶菌酶的活性位点腔、γ-晶状体蛋白的双叶结构、β2-晶状体蛋白中由茎连接的两个结构域以及胰腺核糖核酸酶抑制剂的马蹄形。溶菌酶的低分辨率溶液结构已直接从其实验SAXS曲线(0.003 < S < 0.03 Å⁻¹)建模。该模型描述了溶菌酶的大小和形状,达到了测量分辨率。该方法可应用于其他蛋白质、结构域运动分析、溶液结构与晶体结构的比较以及大型大分子组装体。

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