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Evidence-Based Complementary and Alternative Medicine
Volume 2014, Article ID 192452, 19 pages
http://dx.doi.org/10.1155/2014/192452
Research Article

In Silico Identification of Potent PPAR- Agonists from Traditional Chinese Medicine: A Bioactivity Prediction, Virtual Screening, and Molecular Dynamics Study

1School of Pharmacy, China Medical University, Taichung 40402, Taiwan
2School of Medicine, College of Medicine, China Medical University, Taichung 40402, Taiwan
3Department of Biomedical Informatics, Asia University, Taichung 41354, Taiwan

Received 17 December 2013; Accepted 25 January 2014; Published 26 May 2014

Academic Editor: Fuu-Jen Tsai

Copyright © 2014 Kuan-Chung Chen and Calvin Yu-Chian Chen. 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

Kuan-Chung Chen and Calvin Yu-Chian Chen, “In Silico Identification of Potent PPAR- Agonists from Traditional Chinese Medicine: A Bioactivity Prediction, Virtual Screening, and Molecular Dynamics Study,” Evidence-Based Complementary and Alternative Medicine, vol. 2014, Article ID 192452, 19 pages, 2014. https://doi.org/10.1155/2014/192452.