Epidermal permeability-penetrant structure relationships: 4, QSAR of permeant diffusion across human stratum corneum in terms of molecular weight, H-bonding and electronic charge

被引:82
作者
Pugh, WJ [1 ]
Degim, IT [1 ]
Hadgraft, J [1 ]
机构
[1] Cardiff Univ, Welsh Sch Pharm, Cardiff CF1 3XF, S Glam, Wales
关键词
principal component analysis; multivariate regression analysis; human stratum corneum; partial charge; molecular modelling; diffusion;
D O I
10.1016/S0378-5173(00)00326-4
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Principal components analysis (PCA) and multivariate regression analysis (MRA) are used to assess the predictors of permeant diffusion across human stratum corneum. Log(D/h), was estimated from log k(p) + 0.024 - 0.59 log K-oct,, where D = diffusion coefficient (cm(2)/h), h = path length (cm), k(p) permeability coefficient (cm/h), K-oct = partition coefficient (octanol/water). Molecular weight (MW) with (1) scaled H-bonding parameters alpha and beta, or (2) summed modulus of partial charge from molecular modelling were tested as predictors of (D/h). Charge may be computed for any molecule, whilst alpha and beta values are generally unavailable for molecules of biological interest. PCA suggests a dominant permeation pathway since 93% of data variation is in PC1 of log (D/h), MW and charge and 82% in PC1 of log (D/h), MW, alpha and beta. MRA using MW, alpha and beta is unsatisfactory because of collinearity amongst predictors. The best predictor was the product MW*charge. Similarity of the eigenvectors in PCA and normalised coefficients in MRA indicates that charge and MW are equally important predictors of diffusion. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:203 / 211
页数:9
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