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取代基对氢键连接的沃森-克里克胞嘧啶:鸟嘌呤碱基对相互作用能影响的计算研究。

Computational study of substituent effects on the interaction energies of hydrogen-bonded Watson-Crick cytosine: guanine base pairs.

作者信息

Xue Chunxia, Popelier Paul L A

机构信息

Manchester Interdisciplinary Biocentre (MIB), 131 Princess Street, Manchester, M1 7DN, Great Britain.

出版信息

J Phys Chem B. 2008 Apr 24;112(16):5257-64. doi: 10.1021/jp7108913. Epub 2008 Mar 29.

Abstract

The substituent effects on interaction energies of hydrogen-bonded DNA Watson-Crick base pairs in the gas phase were captured in a model using ab initio descriptors (at the B3LYP/6-311+G(2d,p) level). While forming a noncovalently bonded complex with unsubstituted guanine (G), cytosine (C) carried 42 possible substituents both at the C6 position (C6X:G) and at the C5 position (C5X:G). We rationalize why complexes possessing a more strongly electron-withdrawing group in CX form less stable base pairs. Multivariate linear regression constructed the quantitative relationships between the interaction energies of the complexes and the descriptors, which were drawn from quantum chemical topology (QCT). For the C6X dataset, the best model yielded r2 = 0.93 and a root-mean-square (rms) energy of 0.53 kJ/mol for the 28 complexes in the training set. This model was evaluated by an external test set (14 complexes), yielding an r2 value of 0.96 and an rms error of 0.42 kJ/mol. For the C5X dataset, the QCT descriptors generated a linear model, with r2 values of 0.92 and 0.97 and rms values of 1.69 and 1.24 kJ/mol for the training set (31 compounds) and the external test set (11 compounds), respectively. The models built here could therefore be useful for the assessment of the interaction energy of C6X:G and C5X:G purely from monomeric data.

摘要

在一个使用从头算描述符(在B3LYP/6-311+G(2d,p)水平)的模型中,捕捉了气相中氢键结合的DNA沃森-克里克碱基对相互作用能的取代基效应。在与未取代的鸟嘌呤(G)形成非共价键复合物时,胞嘧啶(C)在C6位置(C6X:G)和C5位置(C5X:G)都带有42种可能的取代基。我们解释了为什么在CX中具有更强吸电子基团的复合物形成的碱基对稳定性较低。多元线性回归构建了复合物相互作用能与来自量子化学拓扑(QCT)的描述符之间的定量关系。对于C6X数据集,最佳模型在训练集中的28个复合物上产生了r2 = 0.93,均方根(rms)能量为0.53 kJ/mol。该模型通过外部测试集(14个复合物)进行评估,产生的r2值为0.96,均方根误差为0.42 kJ/mol。对于C5X数据集,QCT描述符生成了一个线性模型,训练集(31种化合物)和外部测试集(11种化合物)的r2值分别为0.92和0.97,均方根值分别为1.69和1.24 kJ/mol。因此,这里构建的模型可用于仅从单体数据评估C6X:G和C5X:G的相互作用能。

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