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An atomic electronegative distance vector and carbon-13 nuclear magnetic resonance chemical shifts of alcohols and alkanes 总被引:2,自引:0,他引:2
A novel atomic electronegative distance vector (AEDV) has been developed to express the chemical environment of various chemically equivalent carbon atoms in alcohols and alkanes. Combining AEDV and Y parameter, four five-parameter linear relationship equations of chemical shift for four types of carbon atoms are created by using multiple linear regression. Correlation coefficients are R = 0.9887, 0.9972, 0.9978 and 0.9968 and roots of mean square error are RMS = 0.906, 0. 821, 1.091 and 1.091 of four types of carbons, i.e., type 1, 2, 3, and 4 for primary, secondary, tertiary, and quaternary carbons, respectively. The stability and prediction capacity for external samples of four models have been tested by cross-validation. 相似文献
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一个新的分子电性距离矢量(MEDV) 总被引:55,自引:0,他引:55
有机化合物通常由电性各异的碳、氢、氧、氮、硫等元素以共价键相互连接而成。我们提出了一个称为分子电性距离矢量(简称MEDV)的新描述来表征有机分子结构。以含有环、饱和与不饱和键及碳氧氮等元素的色氨酸分子为例,说明构建MEDV的基本方法。开发设计了计算有机MEDV分子的TrueBASIC语言程序。不借用其他任何描述子,仅用MEDV建立了烷、醇、多环芳烃等多种有机化合物包括沸点、密度、保留指数等多种性质的定量结构-性质相关(QSPR)模型,相关系数均达0.98以上。 相似文献
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