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BioMed Research International
Volume 2015, Article ID 292683, 13 pages
http://dx.doi.org/10.1155/2015/292683
Research Article

A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction

1Center for Systems Biology, Soochow University, Suzhou 215006, China
2Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
3School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China

Received 24 February 2015; Revised 7 May 2015; Accepted 19 May 2015

Academic Editor: Sílvia A. Sousa

Copyright © 2015 Daqing Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Daqing Zhang, Jianfeng Xiao, Nannan Zhou, et al., “A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction,” BioMed Research International, vol. 2015, Article ID 292683, 13 pages, 2015. https://doi.org/10.1155/2015/292683.