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基于耦合簇、密度泛函和忽略双原子微分重叠模型的锌分子、团簇和生物中心的能量、几何结构及电荷分布

Energies, Geometries, and Charge Distributions of Zn Molecules, Clusters, and Biocenters from Coupled Cluster, Density Functional, and Neglect of Diatomic Differential Overlap Models.

作者信息

Sorkin Anastassia, Truhlar Donald G, Amin Elizabeth A

机构信息

Department of Medicinal Chemistry, College of Pharmacy, University of Minnesota, 717 Delaware St. SE, Minneapolis, Minnesota 55414-2959, and Department of, Chemistry, University of Minnesota, 207 Pleasant St. SE, Minneapolis, Minnesota, 55455-0431.

出版信息

J Chem Theory Comput. 2009 May 12;5(5):1254-65. doi: 10.1021/ct900038m. Epub 2009 Apr 2.

Abstract

We present benchmark databases of Zn-ligand bond distances, bond angles, dipole moments, and bond dissociation energies for Zn-containing small molecules and Zn coordination compounds with H, CH3, C2H5, NH3, O, OH, H2O, F, Cl, S, and SCH3 ligands. The test set also includes clusters with Zn-Zn bonds. In addition, we calculated dipole moments and binding energies for Zn centers in coordination environments taken from zinc metalloenzyme X-ray structures, representing both structural and catalytic zinc centers. The benchmark values are based on relativistic-core coupled cluster calculations. These benchmark calculations are used to test the predictions of four density functionals, namely B3LYP and the more recently developed M05-2X, M06, and M06-2X levels of theory, and six semiempirical methods, including neglect of diatomic differential overlap (NDDO) calculations incorporating the new PM3 parameter set for Zn called ZnB, developed by Brothers and co-workers, and the recent PM6 parametrization of Stewart. We found that the best DFT method to reproduce dipole moments and dissociation energies of our Zn compound database is M05-2X, which is consistent with a previous study employing a much smaller and less diverse database and a much larger set of density functionals. Here we show that M05-2X geometries and single-point coupled cluster calculations with M05-2X geometries can also be used as benchmarks for larger compounds, where coupled cluster optimization is impractical, and in particular we use this strategy to extend the geometry, binding energy, and dipole moment databases to additional molecules, and we extend the tests involving crystal-site coordination compounds to two additional proteins. We find that the most predictive NDDO methods for our training set are PM3 and MNDO/d. Notably, we also find large errors in B3LYP for the coordination compounds based on experimental X-ray geometries.

摘要

我们展示了含锌小分子以及锌与H、CH3、C2H5、NH3、O、OH、H2O、F、Cl、S和SCH3配体形成的配位化合物的锌-配体键长、键角、偶极矩和键解离能的基准数据库。测试集还包括含有Zn-Zn键的簇。此外,我们计算了取自锌金属酶X射线结构的配位环境中锌中心的偶极矩和结合能,这些结构代表了结构锌中心和催化锌中心。基准值基于相对论核心耦合簇计算。这些基准计算用于测试四种密度泛函的预测结果,即B3LYP以及最近开发的M05-2X、M06和M06-2X理论水平,还有六种半经验方法,包括忽略双原子微分重叠(NDDO)计算,其中纳入了由Brothers及其同事开发的针对锌的新PM3参数集ZnB,以及Stewart最近的PM6参数化方法。我们发现,用于重现我们的锌化合物数据库的偶极矩和解离能的最佳密度泛函理论(DFT)方法是M05-2X,这与之前一项使用小得多且多样性较差的数据库以及大得多的密度泛函集的研究结果一致。在这里我们表明,M05-2X几何结构以及使用M05-2X几何结构的单点耦合簇计算也可作为更大化合物的基准,在这些化合物中耦合簇优化不切实际,特别是我们使用这种策略将几何结构、结合能和偶极矩数据库扩展到其他分子,并将涉及晶体位点配位化合物的测试扩展到另外两种蛋白质。我们发现,对于我们的训练集,预测性最强的NDDO方法是PM3和MNDO/d。值得注意的是,我们还发现基于实验X射线几何结构的配位化合物在B3LYP方法中存在较大误差。

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