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Items: 1 to 20 of 160

1.

Evaluating the pharmacological mechanism of Chinese medicine Si-Wu-Tang through multi-level data integration.

Fang Z, Lu B, Liu M, Zhang M, Yi Z, Wen C, Shi T.

PLoS One. 2013 Nov 4;8(11):e72334. doi: 10.1371/journal.pone.0072334. eCollection 2013.

2.

Discovery of molecular mechanisms of traditional Chinese medicinal formula Si-Wu-Tang using gene expression microarray and connectivity map.

Wen Z, Wang Z, Wang S, Ravula R, Yang L, Xu J, Wang C, Zuo Z, Chow MS, Shi L, Huang Y.

PLoS One. 2011 Mar 28;6(3):e18278. doi: 10.1371/journal.pone.0018278.

3.

Utilization of gene expression signature for quality control of traditional Chinese medicine formula Si-Wu-Tang.

Xie C, Wang Z, Wang C, Xu J, Wen Z, Wang H, Shi L, Chow MS, Huang Y, Zuo Z.

AAPS J. 2013 Jul;15(3):884-92. doi: 10.1208/s12248-013-9491-5. Epub 2013 May 24.

4.

Transcriptional profiling of Chinese medicinal formula Si-Wu-Tang on breast cancer cells reveals phytoestrogenic activity.

Liu M, Fan J, Wang S, Wang Z, Wang C, Zuo Z, Chow MS, Shi L, Wen Z, Huang Y.

BMC Complement Altern Med. 2013 Jan 10;13:11. doi: 10.1186/1472-6882-13-11.

5.

TCMID: Traditional Chinese Medicine integrative database for herb molecular mechanism analysis.

Xue R, Fang Z, Zhang M, Yi Z, Wen C, Shi T.

Nucleic Acids Res. 2013 Jan;41(Database issue):D1089-95. doi: 10.1093/nar/gks1100. Epub 2012 Nov 29.

6.

Herb network construction and co-module analysis for uncovering the combination rule of traditional Chinese herbal formulae.

Li S, Zhang B, Jiang D, Wei Y, Zhang N.

BMC Bioinformatics. 2010 Dec 14;11 Suppl 11:S6. doi: 10.1186/1471-2105-11-S11-S6.

7.

Traditional Chinese medicine network pharmacology: theory, methodology and application.

Li S, Zhang B.

Chin J Nat Med. 2013 Mar;11(2):110-20. doi: 10.1016/S1875-5364(13)60037-0. Review.

PMID:
23787177
8.

Si-Wu-tang extract stimulates bone formation through PI3K/Akt/NF-κB signaling pathways in osteoblasts.

Wu CM, Chen PC, Li TM, Fong YC, Tang CH.

BMC Complement Altern Med. 2013 Oct 24;13:277. doi: 10.1186/1472-6882-13-277.

9.

A network pharmacology approach to understanding the mechanisms of action of traditional medicine: Bushenhuoxue formula for treatment of chronic kidney disease.

Shi SH, Cai YP, Cai XJ, Zheng XY, Cao DS, Ye FQ, Xiang Z.

PLoS One. 2014 Mar 5;9(3):e89123. doi: 10.1371/journal.pone.0089123. eCollection 2014.

10.

A network pharmacology study of Chinese medicine QiShenYiQi to reveal its underlying multi-compound, multi-target, multi-pathway mode of action.

Li X, Wu L, Liu W, Jin Y, Chen Q, Wang L, Fan X, Li Z, Cheng Y.

PLoS One. 2014 May 9;9(5):e95004. doi: 10.1371/journal.pone.0095004. eCollection 2014.

11.

Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation.

Chen X, Zhou H, Liu YB, Wang JF, Li H, Ung CY, Han LY, Cao ZW, Chen YZ.

Br J Pharmacol. 2006 Dec;149(8):1092-103. Epub 2006 Nov 6.

12.

A novel network pharmacology approach to analyse traditional herbal formulae: the Liu-Wei-Di-Huang pill as a case study.

Liang X, Li H, Li S.

Mol Biosyst. 2014 May;10(5):1014-22. doi: 10.1039/c3mb70507b.

PMID:
24492828
13.

In vivo and in vitro demonstration of herb-drug interference in human breast cancer cells treated with tamoxifen and trastuzumab.

Chen JL, Wang JY, Tsai YF, Lin YH, Tseng LM, Chang WC, King KL, Chen WS, Chiu JH, Shyr YM.

Menopause. 2013 Jun;20(6):646-54. doi: 10.1097/gme.0b013e31827b2240.

PMID:
23340260
14.

Simultaneous quantification of active components in the herbs and products of Si-Wu-Tang by high performance liquid chromatography-mass spectrometry.

Wang ZJ, Wo SK, Wang L, Lau CB, Lee VH, Chow MS, Zuo Z.

J Pharm Biomed Anal. 2009 Sep 8;50(2):232-44. doi: 10.1016/j.jpba.2009.04.001. Epub 2009 Apr 10.

PMID:
19423264
15.
16.

Deciphering the therapeutic mechanisms of Xiao-Ke-An in treatment of type 2 diabetes in mice by a Fangjiomics approach.

Yang ZZ, Liu W, Zhang F, Li Z, Cheng YY.

Acta Pharmacol Sin. 2015 Jun;36(6):699-707. doi: 10.1038/aps.2014.138. Epub 2015 May 11.

17.

[Thoughts and exploration on studying pharmacological mechanism of traditional Chinese medicine using network biology approach].

Xiang Z, Wang X, Liu T, Lv D.

Zhongguo Zhong Yao Za Zhi. 2012 Jan;37(2):146-51. Review. Chinese.

PMID:
22737841
18.

[Network target: a starting point for traditional Chinese medicine network pharmacology].

Li S.

Zhongguo Zhong Yao Za Zhi. 2011 Aug;36(15):2017-20. Review. Chinese.

PMID:
22066431
19.

Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genes.

Jiang L, Huang L, Kuang Q, Zhang J, Li M, Wen Z, He L.

Comput Biol Chem. 2014 Apr;49:71-8. doi: 10.1016/j.compbiolchem.2013.12.002. Epub 2014 Jan 1.

PMID:
24440656
20.

Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease.

Tao W, Xu X, Wang X, Li B, Wang Y, Li Y, Yang L.

J Ethnopharmacol. 2013 Jan 9;145(1):1-10. doi: 10.1016/j.jep.2012.09.051. Epub 2012 Nov 6. Review.

PMID:
23142198
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