Literature DB >> 7596996

QSAR analysis of skin permeability of various drugs in man as compared to in vivo and in vitro studies in rodents.

E J Lien1, H Gao.   

Abstract

A general mathematical model involving partition coefficient, molecular weight and hydrogen bonding has been formulated for correlating the structures and skin permeability of a wide range of compounds through human skin and through hairless mouse skin. The correlations obtained are dependent not only on the biological system but also on the vehicle used. Without the use of lipophilic vehicle, the ideal lipophilicity for maximum permeability through human skin as measured by log Po(oct/w) ranges from 2.5 to 6 (extrapolated value). When a lipophilic vehicle was used in hairless mouse skin study, the log Po(oct/w) was lowered to around 0.4 approximately 0.6. While increased M.W. always has a negative effect on the permeability, increased H-bond can have either a slight positive or a slight negative effect, depending on the experiments (absorption vs. permeability constant). Cross validations with previously unanalyzed data as well as other biological systems support the usefulness of the general model developed for passive diffusion.

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Year:  1995        PMID: 7596996     DOI: 10.1023/a:1016266316100

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  10 in total

1.  Predicting skin permeability.

Authors:  R O Potts; R H Guy
Journal:  Pharm Res       Date:  1992-05       Impact factor: 4.200

2.  Structure--activity correlations in the metabolism of drugs.

Authors:  C Hansch; E J Lien; F Helmer
Journal:  Arch Biochem Biophys       Date:  1968-11       Impact factor: 4.013

3.  Percutaneous absorption of steroids.

Authors:  R J Scheuplein; I H Blank; G J Brauner; D J MacFarlane
Journal:  J Invest Dermatol       Date:  1969-01       Impact factor: 8.551

4.  Mechanism of percutaneous adsorption. I. Routes of penetration and the influence of solubility.

Authors:  R J Scheuplein
Journal:  J Invest Dermatol       Date:  1965-11       Impact factor: 8.551

Review 5.  Structures, properties and disposition of drugs.

Authors:  E J Lien
Journal:  Prog Drug Res       Date:  1985

6.  Correlation of serum binding of penicillins with partition coefficients.

Authors:  A E Bird; A C Marshall
Journal:  Biochem Pharmacol       Date:  1967-12       Impact factor: 5.858

7.  Skin permeability of various non-steroidal anti-inflammatory drugs in man.

Authors:  T Yano; A Nakagawa; M Tsuji; K Noda
Journal:  Life Sci       Date:  1986-09-22       Impact factor: 5.037

8.  Effect of various vehicles on ketoprofen permeation across excised hairless mouse skin.

Authors:  S Goto; T Uchida; C K Lee; T Yasutake; J B Zhang
Journal:  J Pharm Sci       Date:  1993-09       Impact factor: 3.534

9.  Skin permeability of various drugs with different lipophilicity.

Authors:  C K Lee; T Uchida; K Kitagawa; A Yagi; N S Kim; S Goto
Journal:  J Pharm Sci       Date:  1994-04       Impact factor: 3.534

10.  The effect of topically applied agents on ultraviolet erythema in guinea pigs.

Authors:  P Peters; C Cooper; K Maiorana; M L Graeme
Journal:  Agents Actions       Date:  1977-12
  10 in total
  12 in total

1.  Estimation of molecular linear free energy relationship descriptors. 4. Correlation and prediction of cell permeation.

Authors:  J A Platts; M H Abraham; A Hersey; D Butina
Journal:  Pharm Res       Date:  2000-08       Impact factor: 4.200

2.  Quantitative structure-permeation relationships (QSPeRs) to predict skin permeation: a critical evaluation.

Authors:  Sandrine Geinoz; Richard H Guy; Bernard Testa; Pierre-Alain Carrupt
Journal:  Pharm Res       Date:  2004-01       Impact factor: 4.200

3.  Effect of direction (epidermis-to-dermis and dermis-to-epidermis) on the permeation of several chemical compounds through full-thickness skin and stripped skin.

Authors:  Takeshi Oshizaka; Hiroaki Todo; Kenji Sugibayashi
Journal:  Pharm Res       Date:  2012-05-24       Impact factor: 4.200

4.  Evaluation of alternative strategies to optimize ketorolac transdermal delivery.

Authors:  Carmelo Puglia; Rosanna Filosa; Antonella Peduto; Paolo de Caprariis; Luisa Rizza; Francesco Bonina; Paolo Blasi
Journal:  AAPS PharmSciTech       Date:  2006-08-04       Impact factor: 3.246

5.  Nonlinear quantitative structure-property relationship modeling of skin permeation coefficient.

Authors:  Brian J Neely; Sundararajan V Madihally; Robert L Robinson; Khaled A M Gasem
Journal:  J Pharm Sci       Date:  2009-11       Impact factor: 3.534

Review 6.  Percutaneous permeation enhancement by terpenes: mechanistic view.

Authors:  Bharti Sapra; Subheet Jain; A K Tiwary
Journal:  AAPS J       Date:  2008-02-08       Impact factor: 4.009

7.  Predicting topical drug clearance from the skin.

Authors:  Maria Alice Maciel Tabosa; Magdalena Hoppel; Annette L Bunge; Richard H Guy; M Begoña Delgado-Charro
Journal:  Drug Deliv Transl Res       Date:  2020-11-08       Impact factor: 4.617

8.  Predicting chemically-induced skin reactions. Part II: QSAR models of skin permeability and the relationships between skin permeability and skin sensitization.

Authors:  Vinicius M Alves; Eugene Muratov; Denis Fourches; Judy Strickland; Nicole Kleinstreuer; Carolina H Andrade; Alexander Tropsha
Journal:  Toxicol Appl Pharmacol       Date:  2015-01-03       Impact factor: 4.219

9.  Evaluating Molecular Properties Involved in Transport of Small Molecules in Stratum Corneum: A Quantitative Structure-Activity Relationship for Skin Permeability.

Authors:  Chen-Peng Chen; Chan-Cheng Chen; Chia-Wen Huang; Yen-Ching Chang
Journal:  Molecules       Date:  2018-04-15       Impact factor: 4.411

Review 10.  Surging footprints of mathematical modeling for prediction of transdermal permeability.

Authors:  Neha Goyal; Purva Thatai; Bharti Sapra
Journal:  Asian J Pharm Sci       Date:  2017-02-22       Impact factor: 6.598

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