Mu Lailong, Feng Changjun, He Hongmei
School of Chemistry & Chemical Engineering, Xuzhou Normal University, Xuzhou, Jiangsu 221116, People's Republic of China.
J Mol Model. 2008 Feb;14(2):109-34. doi: 10.1007/s00894-007-0256-x. Epub 2008 Jan 3.
A novel molecular connectivity index, (m)chi('), based on the adjacency matrix of molecular graphs and novel atomic valence connectivities, delta(i)(') for predicting the molar diamagnetic susceptibilities of organic compounds is proposed. The delta(i)(') is defined as: delta(i)(') = delta(i)(nu) x Ei=12:625, where delta(i)(nu) and E(i) are the atomic valence connectivity and the valence orbital energy of atom i, respectively. A good QSPR model for molar diamagnetic susceptibilities can be constructed from (0)chi('), (1)chi('), (2)chi(') and (4)chi(p)(') using multivariate linear regression (MLR). The correlation coefficient r, standard error, and average absolute deviation of the MLR model are 0.9918, 5.56 cgs, and 4.26 cgs, respectively, for the 721 organic compounds tested (training set). Cross-validation using the leave-one-out method demonstrates that the MLR model is highly reliable statistically. Using the MLR model, the average absolute deviations of the predicted values of molar diamagnetic susceptibility of another 360 organic compounds (test set) is 4.34 cgs. The results show that the current method is more effective than literature methods for estimating the molar diamagnetic susceptibility of an organic compound. The MLR method thus provides an acceptable model for the prediction of molar diamagnetic susceptibilities of organic compounds.
提出了一种基于分子图邻接矩阵和新型原子价连接性δ(i)'的新型分子连接性指数(m)χ',用于预测有机化合物的摩尔抗磁磁化率。δ(i)'定义为:δ(i)' = δ(i)(ν) × Ei=12:625,其中δ(i)(ν)和E(i)分别是原子i的原子价连接性和价轨道能量。使用多元线性回归(MLR),可以从(0)χ'、(1)χ'、(2)χ'和(4)χ(p)'构建一个良好的摩尔抗磁磁化率QSPR模型。对于测试的721种有机化合物(训练集),MLR模型的相关系数r、标准误差和平均绝对偏差分别为0.9918、5.56 cgs和4.26 cgs。使用留一法进行交叉验证表明,MLR模型在统计上高度可靠。使用MLR模型,另外360种有机化合物(测试集)的摩尔抗磁磁化率预测值的平均绝对偏差为4.34 cgs。结果表明,当前方法在估计有机化合物的摩尔抗磁磁化率方面比文献方法更有效。因此,MLR方法为预测有机化合物的摩尔抗磁磁化率提供了一个可接受的模型。