Using Smoothing and Regression Models to predict the Skin Permeability of Compounds
Published: 19 November 2025| Version 1 | DOI: 10.17632/ts4w53hm5r.1
Contributors:
Kevin Ita, , Description
We added a molecular descriptor (the Forgotten Index) to the list of target and features curated from Sun et al. The Forgotten index is a descriptor that is raely used for skin permeability prediction in traditional mathematical or statistical models. Sun, Y., et al., Development of a Gaussian Process – feature selection model to characterize (poly)dimethylsiloxane (Silastic®) membrane permeation. Journal of Pharmacy and Pharmacology, 2020. 72(7): p. 873-888.
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Categories
Artificial Intelligence, Skin, Machine Learning, Transdermal Delivery