Studies on a Novel Characteristic Atom-pair Holographic Code Applied to Quantitative Structure-chromatographic Retention Relationship of Organic Compounds

1 INTRODUCTION Quantitative structure-chromatographic retention relationship (QSRR)[1], a method using the computer auxiliary means to perform simulation and predic- tion of organic compounds’ chromatographic reten- tion behavior, has been developed recently. In this process, the first step is how to effectively fetch the information of molecular structure, and transform it into a set of characteristic numeric codes, that is, the so-called molecular structure characterization(MSC). Ge…     

脂肪醇的生物毒性与结构参数的相关性研究

应用量子化学从头算HF/3-21G方法得到了14种脂肪醇分子的优势构象,利用HF/3-21G法和分子图形学技术获得其电子结构、几何结构参数和连接性指数,并将这些参数与脂肪醇对番茄和红蜘蛛的毒性相关联.结果表明,脂肪醇对番茄的生物毒性与一阶分子连接性指数1X和羟基电荷QOH之间存在良好的二元线性相关性,而脂肪醇对红蜘蛛的生物毒性与一阶分子连接性指数1X和分子最高已占轨道能EH之间存在良好的二元线性相关性,成功地建立脂肪醇对番茄和红蜘蛛毒性的构效关系式.     

Novel atomic-level-based AI topological descriptors: application to QSPR/QSAR modeling

Novel atomic level AI topological indexes based on the adjacency matrix and distance matrix of a graph is used to code the structural environment of each atomic type in a molecule. These AI indexes, along with Xu index, are successfully extended to compounds with heteroatoms in terms of novel vertex degree v(m), which is derived from the valence connectivity delta(v) of Kier-Hall to resolve the differentiation of heteroatoms in molecular graphs. The multiple linear regression (MLR) is used to develop the structure-property/activity models based on the modified Xu and AI indices. The efficiency of these indices is verified by high quality QSPR/QSAR models obtained for several representative physical properties and biological activities of several data sets of alcohols with a wide range of non-hydrogen atoms. The results indicate that the physical properties studied are dominated by molecular size, but other atomic types or groups have small influences dependent on the studied properties. Among all atomic types, -OH groups seem to be most important due to hydrogen-bonding interactions. On the contrary, -OH groups play a dominant role in biological activities studied, although molecular size is also an important factor. These results indicate that both Xu and AI indices are useful model parameters for QSPR/QSAR analysis of complex compounds.