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一氧化氮在亚硝酸铜还原酶的Cu(i)位点及无机模型上的结合:侧接式和端接式结构的能量学与电子顺磁共振参数的密度泛函理论计算

The binding of nitric oxide at the Cu(i) site of copper nitrite reductase and of inorganic models: DFT calculations of the energetics and EPR parameters of side-on and end-on structures.

作者信息

Periyasamy Ganga, Sundararajan Mahesh, Hillier Ian H, Burton Neil A, McDouall Joseph J W

机构信息

School of Chemistry, University of Manchester, Manchester, UKM13 9PL, UK.

出版信息

Phys Chem Chem Phys. 2007 May 28;9(20):2498-506. doi: 10.1039/b701083d. Epub 2007 Mar 23.

Abstract

Density functional theory calculations have been used to probe the end-on and side-on bonding motifs of nitric oxide at the Cu(i) centre in the enzyme copper nitrite reductase and in three inorganic model systems. We find that irrespective of a range of functionals used, the end-on structure is preferred by up to 40 kJ mol(-1), although this preference is smaller for the enzyme than for the inorganic model systems. We have calculated the g-tensor and atomic hyperfine coupling constants for these structures. When compared to available experimental data, for one model compound the calculated EPR parameters definitely favour an end-on structure, although this preference is somewhat less for the enzyme. Our prediction of NO end-on binding in the enzyme is at variance with structural data.

摘要

密度泛函理论计算已被用于探究一氧化氮在亚硝酸铜还原酶中的铜(Ⅰ)中心以及三个无机模型体系中的端基配位和侧基配位模式。我们发现,尽管使用了一系列泛函,但端基结构比侧基结构更稳定,能量差可达40 kJ mol⁻¹,不过酶体系中的这种偏好比无机模型体系中的要小。我们计算了这些结构的g张量和原子超精细耦合常数。与现有的实验数据相比,对于一种模型化合物,计算得到的电子顺磁共振(EPR)参数明确支持端基结构,尽管酶体系中的这种偏好稍小。我们对酶中一氧化氮端基结合的预测与结构数据不一致。

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