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首页> 外文期刊>International Scholarly Research Notices >A QSPR Study for the Prediction of the pKaof N-Base Ligands and Formation ConstantKcof Bis(2,2′-bipyridine)Platinum(II)-N-Base Adducts Using Quantum Mechanically Derived Descriptors
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A QSPR Study for the Prediction of the pKaof N-Base Ligands and Formation ConstantKcof Bis(2,2′-bipyridine)Platinum(II)-N-Base Adducts Using Quantum Mechanically Derived Descriptors

机译:QSPR研究使用量子力学衍生描述符预测pKaof N基配体和形成常数Kcof Bis(2,2'-联吡啶)Platinum(II)-N基加合物

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Quantitative structure-property relationship (QSPR) study on the acid dissociation constant, pKaof various 22 N-base ligands including pyridines, pyrimidines, purines, and quinolines has been carried out using Codessa Pro methodology and software. In addition, the formation constant,Kcof these ligands with Pt(II)(bpy)2 2+(bpy = 2,2′-bipyridine) ion has also been modelled with the same methodology. Linear regression QSPR models of pKaandKcwere established with descriptors derived from AM1 calculations. Among the obtained QSPR models of pKapresented in the study, statistically the most significant one is a four parameters linear equation with the squared correlation coefficient,R2values of ca. 0.95 and the squared cross-validated correlation coefficient,Rcv2values of ca. 0.89, and external the squared correlation coefficient,Rext.2values of ca. 0.97. Statistically the most significant QSPR model ofKcis also a four parameters linear equation with the squared correlation coefficient,R2values of ca. 0.75 and the squared cross-validated correlation coefficient,Rcv2values of ca. 0.55, and external the squared correlation coefficient,Rext.2values of ca. 0.81. An analysis of descriptors that involved in the pKamodels indicate that reactivity index and charge distribution related descriptors play major roles to model acid dissociation constant of ligands of N bases.
机译:已经使用Codessa Pro方法和软件对酸解离常数pKa对22种N基配体(包括吡啶,嘧啶,嘌呤和喹啉)的酸解离常数pKa进行了定量研究。此外,还用相同的方法对具有Pt(II)(bpy)2 2+(bpy = 2,2'-bipyridine)离子的形成常数Kcof进行了建模。使用从AM1计算得出的描述符建立pKa和Kc的线性回归QSPR模型。在研究中获得的pKa的QSPR模型中,统计学上最显着的是一个四参数线性方程,其相关系数为平方,R2值为ca。 0.95和交叉验证的平方相关系数,Rcv2值约为。外部相关系数的平方,Rext.2值约为0.89。 0.97。在统计上,Kcis的最重要QSPR模型也是一个四参数线性方程,相关系数的平方,R2值约为。 0.75和交叉验证的平方相关系数,ca的Rcv2值。 0.55,外部相关系数的平方,约2的值。 0.81。对pKa模型中涉及的描述符的分析表明,与反应性指数和电荷分布相关的描述符在建模N碱基配体的酸解离常数方面起主要作用。

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