PubMed · 9583709
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S N Goodman. 1998-05-01. Multiple comparisons, explained.. https://doi.org/10.1093/oxfordjournals.aje.a009531
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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 logk(p)+0.024-0.59 logK(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.
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