Integrating mathematical approaches (IMAS): Novel methodology for predicting dermal absorption rates of chemicals under finite dose conditions
Author:
Affiliation:
1. Kao Corporation, Safety Science Research Laboratories
2. Faculty of Pharmacy and Pharmaceutical Sciences, Josai University
Publisher
Japanese Society of Toxicology
Link
https://www.jstage.jst.go.jp/article/jts/49/5/49_219/_pdf
Reference40 articles.
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2. Ates, G., Steinmetz, F.P., Doktorova, T.Y., Madden, J.C. and Rogiers, V. (2016): Linking existing in vitro dermal absorption data to physicochemical properties: contribution to the design of a weight-of-evidence approach for the safety evaluation of cosmetic ingredients with low dermal bioavailability. Regul. Toxicol. Pharmacol., 76, 74-78.
3. Atobe, T., Mori, M., Yamashita, F., Hashida, M. and Kouzuki, H. (2015): Artificial neural network analysis for predicting human percutaneous absorption taking account of vehicle properties. J. Toxicol. Sci., 40, 277-294.
4. Baba, H., Takahara, J. and Mamitsuka, H. (2015): In silico predictions of human skin permeability using nonlinear quantitative structure–property relationship models. Pharm. Res., 32, 2360-2371.
5. Buist, H.E., Schaafsma, G. and van de Sandt, J.J. (2009): Relative absorption and dermal loading of chemical substances: consequences for risk assessment. Regul. Toxicol. Pharmacol., 54, 221-228.
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