Predicting drug absorption rates through human skin

Yi. Sun, L.Y. Lam, G.P. Moss, M. Prapopoulou, R.G. Adams, N. Davey, David Gray, Marc Brown

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationIEEE International Joint Conference on Neural Networks (IJCNN) No. 11593964
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)978-1-4244-6916-1
Publication statusPublished - 2010


  • structure-permeability relationships
  • percutaneous-absorption


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