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分子结构分区方法及在二硫化合物QSRR研究中的应用
Quantitative structure-retention relationships study of disulfides compounds by dividing its molecular structure into substructure
【摘要】 从二硫化合物分子结构特征出发,并结合色谱分离机制,将分子结构进行分区处理,通过所建构的总拓扑立体效应指数(TTSEI)、顶点度-距离指数(VDI)、奇偶指数(OEI)、极化效应指数(PEI)等拓扑结构参数,用多元线性回归(MLR)方法获得了二硫化合物在4种不同极性固定相上气相色谱保留指数(RI)与4个结构参数之间的定量结构-色谱保留相关(QSRR)的统一模型,相关系数均大于0.98,以留一法(Leave-one-out)进行交互检验,相关系数Rcv均大于0.97。模型方程用于预测各二硫化合物的气相色谱保留指数其稳定性和准确性俱佳。
【Abstract】 In order to investigate the quantitative structure-retention relationship of disulfides compounds,the molecular structure is divided into two parts,R and X,to obtain molecular structure parameters.The topological indices:vertex degree-distance index(VDI),odd-even index(OEI),the total topological steric effect index(TTSEI) and polarization effect index(PEI) were extended and used to predict the chromatographic retention indices (RI) for disulfides compounds.Simple linear regressions between the retention indices and molecular structural descriptors were established.The correlation coefficients were larger than 0.98.The performance of the model was tested through cross-validation by the Leave-one-out procedure (LOO),showing good statistical parameters.Statistical analysis showed that the quantitative structure-retention relationship(QSRR) models have high internal stability and good predictive ability.
【Key words】 substructure; disulfides compounds; topological indices; quantitative structure-retention relationship;
- 【文献出处】 计算机与应用化学 ,Computers and Applied Chemistry , 编辑部邮箱 ,2011年01期
- 【分类号】O657.71
- 【被引频次】1
- 【下载频次】120