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Detection of translational noncrystallographic symmetry in Patterson functions

机译:检测转化noncrystallographic对称性在帕特森函数

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Detection of translational noncrystallographic symmetry (TNCS) can be critical for success in crystallographic phasing, particularly when molecular-replacement models are poor or anomalous phasing information is weak. If the correct TNCS is detected then expected intensity factors for each reflection can be refined, so that the maximum-likelihood functions underlying molecular replacement and single-wavelength anomalous dispersion use appropriate structure-factor normalization and variance terms. Here, an analysis of a curated database of protein structures from the Protein Data Bank to investigate how TNCS manifests in the Patterson function is described. These studies informed an algorithm for the detection of TNCS, which includes a method for detecting the number of vectors involved in any commensurate modulation (the TNCS order). The algorithm generates a ranked list of possible TNCS associations in the asymmetric unit for exploration during structure solution.
机译:检测转化noncrystallographic对称(跨国公司)成功的关键晶体定相,特别是当molecular-replacement模型是贫穷或异常信息逐步疲软。正确检测到跨国公司预期强度因素对每个反射可以精炼,所以最大似然函数的底层分子置换和单波长反常色散使用适当的结构因子归一化和方差条款。蛋白质结构的蛋白质数据银行研究跨国公司如何体现在帕特森函数是描述。跨国公司的检测算法包括一个方法检测的数量向量参与任何相应的调制(跨国公司秩序)。排名可能跨国公司关联的列表探索在不对称单位结构解决方案。

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