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[Prediction of percutaneous drug permeability using modified theoretical linear solvation energy relationship].

Authors: Xu-chun, Fu; Yu-wen, Dai;

[Prediction of percutaneous drug permeability using modified theoretical linear solvation energy relationship].

Abstract

To predict the percutaneous drug permeability coefficients with modified regression equation.The semiempirical self-consistent field molecular orbital calculation AM1 method was used to calculate the quantum chemical parameters and the modified theoretical linear solvation energy relationship was used to obtain the regression equation of the permeability coefficients of drugs through human epidermis.The permeability coefficients (P) of 36 nonelectrolytes were well linearly correlated with their theoretical descriptors including molecular volume (V), hydrogen bond acidity (sum alpha(2)(H)), hydrogen bond basicity (sum beta(2)(H)) and polarizability index (pi(1)). The regression equation was logP=-6.790+1.571 V+0.1550 pi(1)-1.295 sum alpha(2)(H)-2.485 sum beta(2)(H)(n=36,r=0.9777).The modified theoretical linear solvation energy relationship can be used to predict the skin permeability of drugs.

Related Organizations
Keywords

Skin Absorption, Humans, Regression Analysis, Hydrogen Bonding, Models, Theoretical, Permeability

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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