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利用不同的膜相互作用定量构效关系预测药物代谢动力学/药物效应动力学(ADMET)评价中的渗透系数。

Predicting permeability coefficient in ADMET evaluation by using different membranes-interaction QSAR.

作者信息

Liu Jianzhong, Li Yi, Pan Dahua, Hopfinger Anton J

机构信息

Laboratory of Molecular Modeling and Design (M/C 781), College of Pharmacy, The University of Illinois at Chicago, 833 South Wood Street, Chicago, IL 60612-7231, USA.

出版信息

Int J Pharm. 2005 Nov 4;304(1-2):115-23. doi: 10.1016/j.ijpharm.2005.08.003. Epub 2005 Sep 22.

Abstract

Membrane-interaction quantitative structure activity relationship (MI-QSAR) analysis was applied to a data set with 18 compounds in 18 different membranes. MI-QSAR was used to estimate the ADMET properties including the transport of organic solutes through biological membranes. The most important descriptors are the aqueous solvation free energy, FH2O, and diffusion coefficient for all membranes. The correlation coefficient, r2, and cross-validation correlation coefficient, q2, for DMPG membrane is 0.850 and 0.770, respectively. The relationship between FH2O and permeability is nonlinear. But the detail effect of aqueous solvation free energy and diffusion coefficient to the permeability depends on the type of membrane. The final models also support the solution-diffusion mechanism of transport is important in membrane.

摘要

膜相互作用定量构效关系(MI-QSAR)分析应用于包含18种化合物在18种不同膜中的数据集。MI-QSAR用于估计包括有机溶质通过生物膜转运在内的ADMET性质。所有膜中最重要的描述符是水合自由能、FH2O和扩散系数。对于DMPG膜,相关系数r2和交叉验证相关系数q2分别为0.850和0.770。FH2O与渗透率之间的关系是非线性的。但水合自由能和扩散系数对渗透率的具体影响取决于膜的类型。最终模型也支持转运的溶液扩散机制在膜中很重要。

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