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通过引入原子性改进电子密度图的两种算法的比较:骨架化以及图排序后再细化。

A comparison of two algorithms for electron-density map improvement by introduction of atomicity: skeletonization, and map sorting followed by refinement.

作者信息

Vellieux F M

机构信息

Institut de Biologie Structurale J.-P. Ebel CEA CNRS, 41 Avenue des Martyrs, 38027 Grenoble CEDEX 01, France.

出版信息

Acta Crystallogr D Biol Crystallogr. 1998 Jan 1;54(Pt 1):81-5. doi: 10.1107/s0907444997008081.

Abstract

A comparison has been made of two methods for electron-density map improvement by the introduction of atomicity, namely the iterative skeletonization procedure of the CCP4 program DM [Cowtan & Main (1993). Acta Cryst. D49, 148-157] and the pseudo-atom introduction followed by the refinement protocol in the program suite DEMON/ANGEL [Vellieux, Hunt, Roy & Read (1995). J. Appl. Cryst. 28, 347-351]. Tests carried out using the 3.0 A resolution electron density resulting from iterative 12-fold non-crystallographic symmetry averaging and solvent flattening for the Pseudomonas aeruginosa ornithine transcarbamoylase [Villeret, Tricot, Stalon & Dideberg (1995). Proc. Natl Acad. Sci. USA, 92, 10762-10766] indicate that pseudo-atom introduction followed by refinement performs much better than iterative skeletonization: with the former method, a phase improvement of 15.3 degrees is obtained with respect to the initial density modification phases. With iterative skeletonization a phase degradation of 0.4 degrees is obtained. Consequently, the electron-density maps obtained using pseudo-atom phases or pseudo-atom phases combined with density-modification phases are much easier to interpret. These tests also show that for ornithine transcarbamoylase, where 12-fold non-crystallographic symmetry is present in the P1 crystals, G-function coupling leads to the simultaneous decrease of the conventional R factor and of the free R factor, a phenomenon which is not observed when non-crystallographic symmetry is absent from the crystal. The method is far less effective in such a case, and the results obtained suggest that the map sorting followed by refinement stage should be by-passed to obtain interpretable electron-density distributions.

摘要

通过引入原子性来改进电子密度图的两种方法已被比较,即CCP4程序DM的迭代骨架化程序[考坦和梅因(1993年)。《晶体学报》D49,148 - 157],以及程序套件DEMON/ANGEL中引入伪原子后再进行精修协议[维利厄、亨特、罗伊和里德(1995年)。《应用晶体学杂志》28,347 - 351]。使用迭代12重非晶体学对称平均和溶剂扁平化得到的铜绿假单胞菌鸟氨酸转氨甲酰酶的3.0埃分辨率电子密度进行测试[维勒雷、特里科、斯塔隆和迪德伯格(1995年)。《美国国家科学院院刊》92,10762 - 10766],结果表明引入伪原子后再进行精修比迭代骨架化效果好得多:使用前一种方法,相对于初始密度修正相位获得了15.3度的相位改善。使用迭代骨架化则得到了0.4度的相位退化。因此,使用伪原子相位或与密度修正相位相结合的伪原子相位得到的电子密度图更易于解释。这些测试还表明,对于在P1晶体中存在12重非晶体学对称的鸟氨酸转氨甲酰酶,G函数耦合导致传统R因子和自由R因子同时降低,当晶体中不存在非晶体学对称时未观察到这种现象。在这种情况下该方法效果要差得多,所得结果表明应跳过精修阶段之前的图分类步骤以获得可解释的电子密度分布。

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