Identification of Potent EGFR Inhibitors from TCM Database@Taiwan
Name
Yang-2011-Identification of po.pdf
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3.69 MB
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Author(s)
Yang, Shun-Chieh
Chang, Su-Sen
Chen, Hsin-Yi
Chen, Yu-Chian
Date Issued
October 2011
Journal
PLoS Computational Biology
Publisher
Public Library of Science
Citation
Yang, Shun-Chieh et al. “Identification of Potent EGFR Inhibitors from TCM Database@Taiwan.” Ed. James M. Briggs. PLoS Computational Biology 7.10 (2011): e1002189. Web. 26 Apr. 2012.
Version
Final published version
Abstract
Overexpression of epidermal growth factor receptor (EGFR) has been associated with cancer. Targeted inhibition of the EGFR pathway has been shown to limit proliferation of cancerous cells. Hence, we employed Traditional Chinese Medicine Database (TCM Database@Taiwan) (http://tcm.cmu.edu.tw) to identify potential EGFR inhibitor. Multiple Linear Regression (MLR), Support Vector Machine (SVM), Comparative Molecular Field Analysis (CoMFA), and Comparative Molecular Similarities Indices Analysis (CoMSIA) models were generated using a training set of EGFR ligands of known inhibitory activities. The top four TCM candidates based on DockScore were 2-O-caffeoyl tartaric acid, Emitine, Rosmaricine, and 2-O-feruloyl tartaric acid, and all had higher binding affinities than the control Iressa®. The TCM candidates had interactions with Asp855, Lys716, and Lys728, all which are residues of the protein kinase binding site. Validated MLR (r² = 0.7858) and SVM (r² = 0.8754) models predicted good bioactivity for the TCM candidates. In addition, the TCM candidates contoured well to the 3D-Quantitative Structure-Activity Relationship (3D-QSAR) map derived from the CoMFA (q² = 0.721, r² = 0.986) and CoMSIA (q² = 0.662, r² = 0.988) models. The steric field, hydrophobic field, and H-bond of the 3D-QSAR map were well matched by each TCM candidate. Molecular docking indicated that all TCM candidates formed H-bonds within the EGFR protein kinase domain. Based on the different structures, H-bonds were formed at either Asp855 or Lys716/Lys728. The compounds remained stable throughout molecular dynamics (MD) simulation. Based on the results of this study, 2-O-caffeoyl tartaric acid, Emitine, Rosmaricine, and 2-O-feruloyl tartaric acid are suggested to be potential EGFR inhibitors.
MIT Department
Massachusetts Institute of Technology. Computational and Systems Biology Program
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DOI of Published Version
https://doi.org/10.1371/journal.pcbi.1002189
