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BioMed Research International
Volume 2014 (2014), Article ID 428210, 11 pages
http://dx.doi.org/10.1155/2014/428210
Research Article

An Investigation of Small GTPases in relation to Liver Tumorigenesis Using Traditional Chinese Medicine

1Department of Biomedical Informatics, Asia University, Taichung 41354, Taiwan
2School of Medicine, College of Medicine, China Medical University, Taichung 40402, Taiwan
3Department of Neurosurgery, China Medical University Hospital, No. 2 Yude Road, North District, Taichung 40447, Taiwan
4Department of Anesthesiology, China Medical University Hospital, Taichung 40447, Taiwan
5Research Center for Chinese Medicine & Acupuncture, China Medical University, Taichung 40402, Taiwan
6Human Genetic Center, Department of Medical Research, China Medical University Hospital, Taichung 40447, Taiwan

Received 25 February 2014; Revised 5 March 2014; Accepted 5 March 2014; Published 19 June 2014

Academic Editor: Chung Y. Hsu

Copyright © 2014 Tzu-Chieh Hung 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.

Abstract

Recently, an important topic of liver tumorigenesis had been published in 2013. In this report, Ras and Rho had defined the relation of liver tumorigenesis. The traditional Chinese medicine (TCM) database has been screened for molecular compounds by simulating molecular docking and molecular dynamics to regulate Ras and liver tumorigenesis. Saussureamine C, S-allylmercaptocysteine, and Tryptophan are selected based on the highest docking score than other TCM compounds. The molecular dynamics are helpful in the analysis and detection of protein-ligand interactions. Based on the docking poses, hydrophobic interactions, and hydrogen bond variations, this research surmises are the main regions of important amino acids in Ras. In addition to the detection of TCM compound efficacy, we suggest Saussureamine C is better than the others for protein-ligand interaction.