Xie Y, Hao Q
Department of Chemistry and Physics, De Montfort University, Leicester LE1 9BH, England.
Acta Crystallogr D Biol Crystallogr. 1999 Jan;55(Pt 1):238-42. doi: 10.1107/S0907444998010038. Epub 1999 Jan 1.
In protein crystallography, the use of low-resolution reflections is important in defining the molecular mask and polypeptide backbone. However, in Laue data collection, the loss of low-resolution reflection data (>2dmin) can be as high as 40-50%, even after the deconvolution of multiples. To estimate the reflection intensities that are not recorded in data collection, a new method is presented based on maximizing the entropy of the Patterson function subject to the constraints imposed by the intensities of the observed reflections. The method has been tested with Laue diffraction data from hen egg-white lysozyme. All unobserved reflections within 5 A resolution were estimated, and their inclusion in the electron-density-map calculation significantly improved the connectivity. This method could also be applied to improve the completeness of monochromatic data.
在蛋白质晶体学中,低分辨率反射的使用对于定义分子掩膜和多肽主链很重要。然而,在劳厄数据收集过程中,即使经过多次卷积处理,低分辨率反射数据(>2dmin)的损失仍可能高达40%-50%。为了估计数据收集过程中未记录的反射强度,提出了一种新方法,该方法基于在观测反射强度所施加的约束条件下最大化帕特森函数的熵。该方法已用来自鸡蛋清溶菌酶的劳厄衍射数据进行了测试。估计了5埃分辨率内所有未观测到的反射,将它们纳入电子密度图计算显著改善了连通性。该方法也可用于提高单色数据的完整性。