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首页> 外文期刊>Journal of Molecular Structure >Using artificial neural networks to develop molecular mechanics parameters for the modelling of metalloporphyrins: Part IV. Five-, six-coordinate metalloporphyrins of Mn, Co, Ni and Cu
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Using artificial neural networks to develop molecular mechanics parameters for the modelling of metalloporphyrins: Part IV. Five-, six-coordinate metalloporphyrins of Mn, Co, Ni and Cu

机译:使用人工神经网络开发用于建模金属卟啉的分子力学参数:第四部分。 Mn,Co,Ni和Cu的五,六配位金属卟啉

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With the aid of artificial neural network (ANNs), MM2 force field parameters were derived for the molecular mechanics modelling of the metalloporphyrins of five- and six-coordinate Mn(II), Mn(III), Mn(IV), Mn(V), Co(I), Co(II), Co(III), Ni(II) and Cu(II). The previously derived parameters for modelling the porphyrin ring itself reproduced, on average, bond lengths to within 0.003 angstrom, angles to within 0.3 degrees and torsions to within 2.4 degrees of the mean crystallographic values. As these compounds have a wide variety of axial ligands, and there are relatively few structures available which contain the same metal in the same oxidation state and with the same axial ligands, only preliminary parameters are reported for the modelling of the axial ligands. These were typically derived by setting the strain free bond length and bond angles involving the metal and the axial donor atom to the crystallographically observed value, and varying the bond stretching and angle bending parameter, or the strain free bond length and bond angles iteratively, until the bond length and angles were reproduced to within 0.01 angstrom and 2.5 degrees, respectively. Since, we have previously shown the relative insensitivity of the equatorial metal-ligand parameters to the axial metal-ligand parameters and vice-versa, the necessarily preliminary values of the parameters for the modelling of the axial ligands did not preclude the development of parameters for the modelling of the metal-N-porph bond. To develop these, the strain free bond length l(o), and the stretching force constant k(s) for the bond length was varied in a grid-like pattern and the absolute mean difference between the metalN(porph) bond length observed experimentally and determined by MM was defined as the error function, the minimum of which was found using ANNs. When the structures were modelled with the values of ks and l(o) that correspond to the minimum of the error function, the mean metal-N-porph bonds differed from crystallographically observed values by at most 0.008 angstrom, which is comfortably within the experimental standard deviation of this metric. The deviations of the porphyrin ring from planarity were often, but not always, reproduced in the modelling. We show that where significant differences were found, these could be due to packing effects in the solid state. angstrom 2005 Elsevier B.V. All fights reserved.
机译:借助人工神经网络(ANN),推导了MM2力场参数,以对五坐标和六坐标的Mn(II),Mn(III),Mn(IV),Mn(V)的金属卟啉进行分子力学建模),Co(I),Co(II),Co(III),Ni(II)和Cu(II)。先前推导的用于建模卟啉环本身的参数平均重现了平均晶体学值的键长在0.003埃以内,角度在0.3度以内,扭转在2.4度以内。由于这些化合物具有各种各样的轴向配体,并且几乎没有可用的结构以相同的氧化态包含相同的金属且具有相同的轴向配体,因此仅报道了用于轴向配体建模的初步参数。这些通常是通过将涉及金属和轴向供体原子的自由应变键长和键角设置为晶体学观察值,并改变键拉伸和角弯曲参数,或迭代地改变自由应变键长和键角,直到键的长度和角度分别复制到0.01埃和2.5度以内。因为我们之前已经显示了赤道金属配体参数对轴向金属配体参数的相对不敏感性,反之亦然,所以用于轴向配体建模的参数必需的初步值并不排除针对金属-N-卟啉键的模型。为了发展这些,无应变键长l(o)和键长的拉伸力常数k(s)以网格状变化,并且通过实验观察到金属N(porph)键长之间的绝对平均差由MM确定的误差函数定义为误差函数,使用ANN可以找到最小值。当用与误差函数的最小值相对应的ks和l(o)值对结构进行建模时,平均金属-N-卟啉键与晶体学观察到的值相差最多0.008埃,这在实验范围内是令人满意的该指标的标准偏差。卟啉环与平面度的偏差通常(但并非总是)在建模中得以再现。我们表明发现明显差异的地方可能是由于固态的堆积效应所致。埃斯特维尔(Angelstrom),2005年。保留所有战斗权。

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