A two-dimensional histogram-matching method for protein phase refinement and extension.
A two-dimensional histogram-matching method for protein phase refinement and extension.
复制标题
用于蛋白质相细化和扩展的二维直方图匹配方法。
DOI：
10.1107/s0907444999010987
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Zhang,KY
中科院分区：
文献类型：
--
作者：
Nieh,YP;Zhang,KY
使用电子密度及其梯度（二维直方图）的联合分布作为密度修改过程中的约束，开发了一种用于蛋白质相改进的新方法。通过交替应用电子密度和密度梯度上的一维 (1D) 直方图匹配，可以将给定图的二维 (2D) 直方图与理想的 2D 直方图进行匹配。将 2D 直方图匹配方法与 1D 密度直方图匹配方法进行比较，以从三种不同类型相位的中分辨率或高分辨率数据开始进行相位细化和扩展。其中包括使用 T6 胰岛素的 MIR 相位和具有随机生成误差的相位进行相位细化和扩展。测试结果表明，在三个测试用例中，与一维密度直方图匹配方法相比，使用二维直方图匹配方法的相位和整体地图质量都有显着改善。
A new method has been developed for protein phase improvement using the joint distribution of the electron density and its gradient (two-dimensional histogram) as a constraint in a density-modification procedure. Matching the two-dimensional (2D) histogram of a given map to that of an ideal 2D histogram was achieved through alternating applications of one-dimensional (1D) histogram matching on electron density and on density gradient. The 2D histogram-matching method was compared with the 1D density histogram-matching method for phase refinement and extension starting from either medium-resolution or high-resolution data on three different types of phases. These included phase refinement and extension using MIR phases of T6 insulin and phases with randomly generated errors. The test results demonstrated significant improvement of the phases and the overall map quality using the 2D histogram-matching method compared with the 1D density histogram-matching method in each of the three test cases.