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2008 International Conference on BioMedical Engineering and Informatics
Predicting Blood-Brain Barrier Penetration by Stochastic Discrimination
May 27-May 30
ISBN: 978-0-7695-3118-2
The importance of optimizing the ability to penetrate blood-brain barrier of potential drug candidates is now widely recognized. Accurate computational prediction of such a property will significantly enhance the speed of the blood-brain barrier penetration analysis and reduce the cost of drug discovery. In this paper, we present some results of our predictive model built on the stochastic discrimination, a pattern classification method that has been shown to be a useful in the literature.
Index Terms:
Prediction, blood-brain barrier, stochastic discrimination
Citation:
Dechang Chen, Jianwen Fang, Jiawei Yu, "Predicting Blood-Brain Barrier Penetration by Stochastic Discrimination," bmei, vol. 1, pp.337-340, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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