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机构地区:[1]School of Biological and Chemical Engineering,Jiaxing University,Zhejiang 314001, China
出 处:《Chinese Journal of Structural Chemistry》2009年第2期143-150,共8页结构化学(英文)
基 金:Supported by the Key Program of National Natural Science Foundation of China (No. 20737001);the National Science Foundation for Post-doctoral Scientists of China (No. 2003033486)
摘 要:Quantum chemistry parameters of 28 alkyl(1-phenylsulfonyl) cycloalkane-carboxy-lates were computed at the 6-31G* level in fully optimal manner using B3LYP method of density functional theory (DFT). With GQSARF2.0 program, the correlation equations that can predict n-octanol/water partition coefficient (lgKow) were developed using the structural and thermodynamic parameters of 28 alkyl(1-phenylsulfonyl) cycloalkane-carboxylates with experimental data of lgKow as theoretical descriptors; the correlation coefficient (R^2) was 0.9452 and the cross-validation squared correlation coefficient (Rcv^2) 0.9312. Furthermore, a four-variable model from MEDV was obtained, of which R2 = 0.9497 and Rov^2 =0.9388. The models were validated by variance inflation factor (VIF) and t-test. Cross-validation indicates that the correlation and predicting ability of the model based on both DFT method and MEDV are more advantageous than those obtained from semi-empirical AM1 method.Quantum chemistry parameters of 28 alkyl(1-phenylsulfonyl) cycloalkane-carboxy-lates were computed at the 6-31G* level in fully optimal manner using B3LYP method of density functional theory (DFT). With GQSARF2.0 program, the correlation equations that can predict n-octanol/water partition coefficient (lgKow) were developed using the structural and thermodynamic parameters of 28 alkyl(1-phenylsulfonyl) cycloalkane-carboxylates with experimental data of lgKow as theoretical descriptors; the correlation coefficient (R^2) was 0.9452 and the cross-validation squared correlation coefficient (Rcv^2) 0.9312. Furthermore, a four-variable model from MEDV was obtained, of which R2 = 0.9497 and Rov^2 =0.9388. The models were validated by variance inflation factor (VIF) and t-test. Cross-validation indicates that the correlation and predicting ability of the model based on both DFT method and MEDV are more advantageous than those obtained from semi-empirical AM1 method.
关 键 词:quantitative structure-property relationship (QSPR) alkyl(1-phenylsulfonyl) cycloalkane-carboxylate density functional theory (DFT) n-octanol/water partition coefficient (lgKow) molecular electronegativity distance vector (MEDV)
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