Title :
Predicting Blood-Brain Barrier Penetration by Stochastic Discrimination
Author :
Chen, Dechang ; Fang, Jianwen ; Yu, Jiawei
Author_Institution :
Dept. of Preventive Med. & Biometrics, Uniformed Services Univ. of the Health Sci., Bethesda, MD
Abstract :
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 properly 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.
Keywords :
biology computing; blood; brain; drugs; molecular biophysics; pattern classification; blood-brain barrier penetration; computational prediction; drug candidate; drug discovery; pattern classification method; stochastic discrimination; Bioinformatics; Biomedical engineering; Biomedical informatics; Biometrics; Bridges; Costs; Drugs; Pattern recognition; Predictive models; Stochastic processes; Prediction; blood-brain barrier; stochastic discrimination;
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
DOI :
10.1109/BMEI.2008.243
