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Issue 3, 2013
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Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula

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Abstract

Traditional Chinese Medicine (TCM) remedies are composed of different chemical compounds. To understand the underlying pharmacological basis, we need to explore the active components, which function systematically against multiple gene targets to exert efficacy. Predicting active component–gene target interactions could help us decipher the mechanism of action of TCM. Here, we introduce a Pathway Pattern-based method to prioritize the 153 candidate compounds and 7895 associated genes using the extracted Pathway Pattern, which is made up of groups of pathways. The gene prioritization result is compared to previous literature findings to demonstrate the top ranked genes' roles in the pathogenesis of H1N1 influenza. Further, molecular docking is utilized to validate compounds' effects through docking compounds into drug targets of oseltamivir. After setting thresholds, 16 active components, 29 gene targets and 162 active component–gene target interactions are finally identified to elucidate the pharmacology of maxingshigan-yinqiaosan formula. This novel strategy is expected to serve as a springboard for the efforts to standardize and modernize TCM.

Graphical abstract: Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula

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Supplementary files

Article information


Submitted
13 Sep 2012
Accepted
17 Dec 2012
First published
18 Dec 2012

Mol. BioSyst., 2013,9, 375-385
Article type
Paper

Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula

W. Dai, J. Chen, P. Lu, Y. Gao, L. Chen, X. Liu, J. Song, H. Xu, D. Chen, Y. Yang, H. Yang and L. Huang, Mol. BioSyst., 2013, 9, 375
DOI: 10.1039/C2MB25372K

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