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首页> 外文期刊>Journal of the Chinese Chemical Society. >QSPR Analysis of Phenylthio Phenylsulfinyl and Phenylsulfonyl Esters
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QSPR Analysis of Phenylthio Phenylsulfinyl and Phenylsulfonyl Esters

机译:苯硫基苯亚磺酰基和苯磺酰基酯的QSPR分析

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Quantitative structure-property relationships (QSPR) were developed with the quantum semi-empirical descrptors computed by AM1 Hamiltonian in MOPAC7.0 for phenylthio, phenylsulfinyl and phenylsulfonyl esters. Using stepwise regression analysis with a cross-validation procedcure, the most potent and informative descriptors were screened out from a group of 19 quantum chemical semi-empirical dscriptors, including steric and electronic types, to build QSPR models. Several equations were obtained and used to estimate and predict octanol/water partition coeffcients and reversed phase high-performance liquid chromatography (HPLC) capacity factors for a series of 30 similar sulfur-containing compounds. The results indicate that mo-lecular descriptors, including average mnolecular polarizability (#alpha#), energy of the lowest unoccupied molecular orbital (E_LUMO), net atomic charge on carbon atoms in the carbonyl (Q_CO), molecular weight (M_W), the most positive atomic charge on hydrogen atom (Q_H~+), and net atomic charge on oxygen atoms in the gfroup-NO_2 (Q_NQ2) are the main factors affecting the octanol/water partition coefficients of the compounds under study. And quantum descriptors, covering the most negative atomic charge on an atom (Q~0), net atomic charge on carbon atoms in the carboxy (Q_COO), molecular weight (M_W), heat of formation (H_F), the most positive atomic charge on a hydrogen atom (Q_H~+), and total energy (T_E), are the main factors affecting HPLC capacity factors of these compounds. Rational mechanisms for the two physico-chemical properties of the sulfur-containing carboxylates were discussed and interpreted.
机译:利用AM1哈密顿量在MOPAC7.0中计算的苯硫基,苯亚磺酰基和苯磺酰基酯的量子半经验描述子,建立了定量结构-性质关系(QSPR)。使用具有交叉验证程序的逐步回归分析,从19种量子化学半经验描述符(包括空间和电子类型)中筛选出最有力和信息量大的描述符,以建立QSPR模型。获得了多个方程,用于估计和预测一系列30种相似的含硫化合物的辛醇/水分配系数和反相高效液相色谱(HPLC)容量因子。结果表明,分子描述符包括平均分子极化率(#alpha#),最低未占据分子轨道的能量(E_LUMO),羰基碳原子上的净原子电荷(Q_CO),分子量(M_W),氢-NO_2(Q_NQ2)中氢原子(Q_H〜+)上的最大正原子电荷和氧原子上的净原子电荷(Q_NQ2)是影响所研究化合物的辛醇/水分配系数的主要因素。量子描述符包括一个原子上最负的原子电荷(Q〜0),羧基上碳原子上的净原子电荷(Q_COO),分子量(M_W),形成热(H_F),最正原子电荷氢原子(Q_H〜+)和总能量(T_E)是影响这些化合物HPLC容量因子的主要因素。讨论和解释了含硫羧酸盐的两种物理化学性质的合理机理。

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