Nikolić Sonja, Milicević Ante, Trinajstić Nenad, Jurić Albin
The Rugjer Bosković Institute, Bijenicka 54, P.O.B. 180, HR-10002 Zagreb, Croatia.
Molecules. 2004 Dec 31;9(12):1208-21. doi: 10.3390/91201208.
The variable Zagreb (v)M(2) index is introduced and applied to the structure-boiling point modeling of benzenoid hydrocarbons. The linear model obtained (the standard error of estimate for the fit model S(fit)=6.8 degrees C) is much better than the corresponding model based on the original Zagreb M2 index (S(fit)=16.4 degrees C). Surprisingly,the model based on the variable vertex-connectivity index (S(fit)=6.8 degrees C) is comparable to the model based on (v)M2 index. A comparative study with models based on the vertex-connectivity index, edge-connectivity index and several distance indices favours models based on the variable Zagreb (v)M2 index and variable vertex-connectivity index.However, the multivariate regression with two-, three- and four-descriptors gives improved models, the best being the model with four-descriptors (but (v)M2 index is not among them) with S(fit)=5 degrees C, though the four-descriptor model contaning (v)M2 index is only slightly inferior (S(fit)=5.3 degrees C).
引入了可变的萨格勒布(v)M(2)指数,并将其应用于苯系烃的结构-沸点建模。所得到的线性模型(拟合模型的估计标准误差S(fit)=6.8℃)比基于原始萨格勒布M2指数的相应模型(S(fit)=16.4℃)要好得多。令人惊讶的是,基于可变顶点连接性指数的模型(S(fit)=6.8℃)与基于(v)M2指数的模型相当。与基于顶点连接性指数、边连接性指数和几个距离指数的模型进行的比较研究表明,基于可变萨格勒布(v)M2指数和可变顶点连接性指数的模型更具优势。然而,使用两个、三个和四个描述符的多元回归给出了改进的模型,最好的是具有四个描述符的模型(但(v)M2指数不在其中),S(fit)=5℃,尽管包含(v)M2指数的四个描述符模型仅略逊一筹(S(fit)=5.3℃)。