DocumentCode
2491602
Title
Predicting drug absorption rates through human skin
Author
Sun, Yi ; Lam, Lun Tak ; Moss, Gary ; Prapopoulou, Maria ; Adams, Rod ; Davey, Neil ; Gray, David ; Brown, Mark
Author_Institution
Univ. of Hertfordshire, Hatfield, UK
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
5
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.
Keywords
Gaussian distribution; absorption; biodiffusion; biomedical measurement; drugs; physiological models; skin; Gaussian process; bloodstream; drug absorption rates; human skin; skin permeability; Absorption; Chemicals; Gaussian processes; High definition video; Permeability; Skin; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location
Barcelona
ISSN
1098-7576
Print_ISBN
978-1-4244-6916-1
Type
conf
DOI
10.1109/IJCNN.2010.5596603
Filename
5596603
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