Periyasamy Ganga, Sundararajan Mahesh, Hillier Ian H, Burton Neil A, McDouall Joseph J W
School of Chemistry, University of Manchester, Manchester, UKM13 9PL, UK.
Phys Chem Chem Phys. 2007 May 28;9(20):2498-506. doi: 10.1039/b701083d. Epub 2007 Mar 23.
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.
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。