A QSPR Study for the Prediction of the pKa of N-Base Ligands and Formation Constant Kc of Bis(2,2′-bipyridine)Platinum(II)-N-Base Adducts Using Quantum Mechanically Derived Descriptors
Author(s) -
Selamı Palaz,
Baki Türkkan,
Erol Eroğlu
Publication year - 2012
Publication title -
isrn physical chemistry
Language(s) - English
Resource type - Journals
ISSN - 2090-7761
DOI - 10.5402/2012/260171
Subject(s) - correlation coefficient , algorithm , chemistry , computer science , machine learning
Quantitative structure-property relationship (QSPR) study on the acid dissociation constant, p Ka of 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, Kc of 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 p Ka and Kc were established with descriptors derived from AM1 calculations. Among the obtained QSPR models of p Ka presented in the study, statistically the most significant one is a four parameters linear equation with the squared correlation coefficient,R 2values of ca. 0.95 and the squared cross-validated correlation coefficient,R c v 2values of ca. 0.89, and external the squared correlation coefficient,R ext . 2values of ca. 0.97. Statistically the most significant QSPR model of Kc is also a four parameters linear equation with the squared correlation coefficient,R 2values of ca. 0.75 and the squared cross-validated correlation coefficient,R c v 2values of ca. 0.55, and external the squared correlation coefficient,R ext . 2values of ca. 0.81. An analysis of descriptors that involved in the p Ka models indicate that reactivity index and charge distribution related descriptors play major roles to model acid dissociation constant of ligands of N bases.
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