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Electron densities by the maximum entropy method (MEM) for various types of prior densities: A case study on three amino acids and a tripeptide

机译:通过最大熵方法(MEM)对各种类型的先验密度进行电子密度计算:以三个氨基酸和三肽为例

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Dynamic model densities according to Mondal et al. [(2012), Acta Cryst. A68, 568-581] are presented for independent atom models (IAM), IAMs after high-order refinements (IAM-HO), invariom (INV) models and multipole (MP) models of α-glycine, dl-serine, l-alanine and Ala-Tyr-Ala at T ? 20K. Each dynamic model density is used as prior in the calculation of electron density according to the maximum entropy method (MEM). We show that at the bond-critical points (BCPs) of covalent C-C and C-N bonds the IAM-HO and INV priors produce reliable MEM density maps, including reliable values for the density and its Laplacian. The agreement between these MEM density maps and dynamic MP density maps is less good for polar C-O bonds, which is explained by the large spread of values of topological descriptors of C-O bonds in static MP densities. The density and Laplacian at BCPs of hydrogen bonds have similar values in MEM density maps obtained with all four kinds of prior densities. This feature is related to the smaller spatial variation of the densities in these regions, as expressed by small magnitudes of the Laplacians and the densities. It is concluded that the use of the IAM-HO prior instead of the IAM prior leads to improved MEM density maps. This observation shows interesting parallels to MP refinements, where the use of the IAM-HO as an initial model is the accepted procedure for solving MP parameters. A deconvolution of thermal motion and static density that is better than the deconvolution of the IAM appears to be necessary in order to arrive at the best MP models as well as at the best MEM densities.
机译:根据Mondal等人的动态模型密度。 [(2012),Acta Cryst。 [A68,568-581]介绍了独立原子模型(IAM),高阶精修后的IAM(IAM-HO),不变模型(INV)和α-甘氨酸,dl-丝氨酸,l-丙氨酸和丙氨酸-酪氨酸-丙氨酸在T? 20K。根据最大熵方法(MEM),在计算电子密度时,将每个动态模型密度用作先验。我们显示,在共价C-C和C-N键的键临界点(BCP),IAM-HO和INV先验产生可靠的MEM密度图,包括密度及其Laplacian值的可靠值。这些MEM密度图和动态MP密度图之间的一致性对于极性C-O键而言不太好,这可以通过静态MP密度中C-O键的拓扑描述符值的广泛分布来解释。氢键BCP处的密度和拉普拉斯算子在使用所有四种先验密度获得的MEM密度图中具有相似的值。此特征与这些区域中密度的较小空间变化有关,如拉普拉斯算子和密度的小值所表示。结论是,使用IAM-HO代替IAM-HO可以改善MEM密度图。该观察结果显示了与MP改进的有趣相似之处,其中使用IAM-HO作为初始模型是解决MP参数的公认方法。为了获得最佳的MP模型和最佳的MEM密度,必须进行比IAM的反卷积更好的热运动和静态密度的反卷积。

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