Predicting drug absorption rates through human skin

Yi Sun, Lun Tak Lam, Gary Moss, Maria Prapopoulou, Rod Adams, Neil Davey, David Gray, Mark Brown

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

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.

Original languageEnglish
Title of host publication2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
DOIs
Publication statusPublished - 2010
Event2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain
Duration: 18 Jul 201023 Jul 2010

Other

Other2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
CountrySpain
CityBarcelona
Period18/07/1023/07/10

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  • Cite this

    Sun, Y., Lam, L. T., Moss, G., Prapopoulou, M., Adams, R., Davey, N., Gray, D., & Brown, M. (2010). Predicting drug absorption rates through human skin. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 [5596603] https://doi.org/10.1109/IJCNN.2010.5596603