Title of article :
Mechanistic and empirical modeling of skin permeation of drugs
Author/Authors :
Yamashita، نويسنده , , Fumiyoshi and Hashida، نويسنده , , Mitsuru، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
15
From page :
1185
To page :
1199
Abstract :
The skin forms a barrier to the external environment, maintaining body fluids within our system and excluding harmful substances, while the skin is a site of administration of drugs for topical and systemic chemotherapy. It is an important issue to predict the rate at which drugs or other xenobiotics penetrate the skin. In this article, we review modeling approaches for predicting skin permeation of compounds, including both mechanistic and empirical approaches. Mechanistic approaches can give us much information on understanding of skin permeation of the compounds, such as structure–permeability relationship, contribution of each barrier step, mechanism of penetration enhancers, and in vivo–in vitro relationship. On the other hand, empirical modeling can overcome any inaccuracies of mechanistic models caused by the existence of uncertainties and, therefore, give us better predictions from the practical point of view. Artificial neural networks are being available for empirical modeling of complex skin transport phenomenon.
Keywords :
Diffusion Model , Structure–permeability relationship , Mechanistic modeling , Transport pathways , Artificial neural networks , empirical modeling , Skin permeability
Journal title :
Advanced Drug Delivery Reviews
Serial Year :
2003
Journal title :
Advanced Drug Delivery Reviews
Record number :
1761334
Link To Document :
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