Quantitative structure-skin permeability relationships-Reference-Cited by-同舟云学术

Quantitative structure-skin permeability relationships

Published:2017-07 Issue: Volume:387 Page:27-42
ISSN:0300-483X
Container-title:Toxicology
language:en
Short-container-title:Toxicology

Author:

Tsakovska Ivanka,Pajeva Ilza,Al Sharif Merilin,Alov Petko,Fioravanzo Elena,Kovarich Simona,Worth Andrew P.,Richarz Andrea-Nicole,Yang Chihae,Mostrag-Szlichtyng Aleksandra,Cronin Mark T.D.

Funder

European Community’s 7th Framework Program

Publisher

Elsevier BV

Subject

Toxicology

Reference126 articles.

1. Human skin permeation and partition: general linear free-energy relationship analyses;Abraham;J. Pharm. Sci.,2004

2. The factors that influence skin penetration of solutes;Abraham;J. Pharm. Pharmacol.,1995

3. Algorithms for skin permeability using hydrogen bond descriptors: the problem of steroids;Abraham;J. Pharm. Pharmacol.,1997

4. In Silico Models for Skin Permeability and Gastrointestinal Absorption to Facilitate Extrapolation Between Oral and Dermal Administrations for Repeated Dose Toxicity. SEURAT-1 5th Annual Meeting;Alov,2015

5. Predicting chemically-induced skin reactions. Part II: QSAR models of skin permeability and the relationships between skin permeability and skin sensitization;Alves;Toxicol. Appl. Pharmacol.,2015

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