Predicting drug absorption rates through human skin
View/ Open
Author
Sun, Yi.
Lam, L.Y.
Moss, G.P.
Prapopoulou, M.
Adams, R.G.
Davey, N.
Gray, David
Brown, Marc
Attention
2299/5703
Abstract
Predicting the rate at which a substance will pass through human skin and into the bloodstream is a problem of current interest. We use Gaussian Process modeling to train a set of predictors using every combination of six molecular features. We find that only three of the features are needed for our best predictor. This result could be useful in the further analysis of skin permeability.