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2TMR Integrative Medicine  2018, Vol. 2 Issue (3): 92-98     DOI: 10.12032/TMRIM201802026
Editorial     
Network pharmacology: an important breakthrough in traditional Chinese medicine research
Yuan Jin-Wei1, Hao Jian2, Chen Dan3()
1School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
2Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
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Highlights

Network pharmacology breaks through the traditional linear research model and coincides with the complexity of traditional Chinese medicine, provides technical support and new strategy in the research of traditional Chinese medicine.

Abstract

Objective: To study the relationship between traditional Chinese medicine (TCM) research and network pharmacology. Methods: Discuss the common features of TCM and network pharmacology through the analysis of the characteristics of TCM, the background of network pharmacology, so as better interpretation of TCM and in-depth understanding of TCM research and network pharmacology. Results: Multicomponent and multitarget characteristics of TCM as same as the study thought of network pharmacology. Network pharmacology breaks through the research model of linear and coincides with the complexity of TCM, provides technical support for rational design of TCM formulae, both and a new way in the research of TCM. It becomes a new strategy for modern TCM research. Conclusion: Network pharmacology is an important breakthrough in TCM research, its research promote modernization and internationalization process of TCM conduce to the research and development of TCM and have important significance for the integration of Chinese and Western medicine.



Key wordsTraditional Chinese medicine      Network pharmacology      Multicomponent      Multitarget     
Published: 14 September 2018
Cite this article:

Yuan Jin-Wei, Hao Jian, Chen Dan. Network pharmacology: an important breakthrough in traditional Chinese medicine research. 2TMR Integrative Medicine, 2018, 2 (3): 92-98.  

URL:

https://www.tmrjournals.com/im/EN/10.12032/TMRIM201802026     OR     https://www.tmrjournals.com/im/EN/Y2018/V2/I3/92

Figure 1 Source of small molecule approved drug
Figure 2 Network interaction between the material foundation and act mechanisms
Figure 3 The research route of network pharmacology
1.   Qi FH, Wang ZX, Cai PP, et al. Traditional Chinese medicine and related active compounds: a review of their role on hepatitis B virus infection. Drug Discov Ther 2013, 7: 212-224.
2.   Kim JY, Noble D.Recent progress and prospects in Sasang constitutional medicine: a traditional type of physiome-based treatment. Prog Biophys Mol Biol 2014, 116: 76-80.
doi: 10.1016/j.pbiomolbio.2014.09.005
3.   Shang HC, Wu XZ, Qiu RJ, et al. Traditional Chinese medicine should not be ignored during the development of precision medicine with Chinese characteristics. Tradit Med Res 2016, 1: 105-114.
4.   Hopkins A.L. Network pharmacology: the next paradigm in drug discovery. Nat Chem Biol 2008, 4: 682-690.
doi: 10.1038/nchembio.118 pmid: 18936753
5.   Barabasi AL, Gulbahce N, Loscalzo J.Network medicine: a network-based approach to human disease. Nat Rev Genet 2011, 12: 56-68.
doi: 10.1038/nrg2918 pmid: 21164525
6.   Zhao J, Fang HY, Zhang WD, et al. Bioinformatics approaches in research on network pharmacology of traditional Chinese medicine. Progr Pharm Sci 2017, 38: 97-103.
7.   Tang PP, Bai M, Miao MS.Traditional Chinese medicine research and network pharmacology. Chin J Chin Med 2012, 27: 1112-1115.
8.   Hamilton GR, Baskett TF.In the arms of morpheus the development of morphine for postoperative pain relief. Can J Anaesth 2000, 47: 367-374.
doi: 10.1007/BF03020955 pmid: 10764185
9.   Li JW, Vederas JC.Drug discovery and natural products: end of an era or an endless frontier? Science 2009, 325: 161-165.
doi: 10.1126/science.1168243 pmid: 21870600
10.   Harvey AL.Natural products in drug discovery. Drug Discov Today 2008, 13: 894-901.
doi: 10.1016/j.drudis.2008.07.004 pmid: 18691670
11.   Newman DJ, Cragg GM.Natural products as sources of new drugs from 1981 to 2014. J Nat Prod 2016, 79: 629-661.
doi: 10.1021/acs.jnatprod.5b01055 pmid: 26852623
12.   Newman DJ, Cragg GM.Natural products as Sources of new drugs over the 30 years from 1981 to 2010. J Nat Prod 2012, 75: 311-335.
doi: 10.1021/np200906s pmid: 22316239
13.   Zhang JW, Lu ZL.Trace to the source of traditional Chinese medicine formulae. Chin J Inf Tradit Chin Med 2001, 3: 6-8.
14.   Wang J, Wang YY.The theory of complex system and research on traditional Chinese medical formulae. Chin J Inf Tradit Chin Med 2001, 8:25.
15.   Zhang BL, Wang YY.The basic research on the key scientific problems of formulae-development of modern Chinese medicine by component compatibility. Chin J Nat Meds 2005, 3: 258-261.
16.   Fan XH, Cheng YY, Zhang BL.Network formulaology: a new strategy for modern research of traditional Chinese medicine formulae. Chin J Chin Mat Med 2015, 40: 1-6.
17.   Yuan HD, Ma QQ, Cui HY.How can synergism of traditional medicines benefit from network pharmacology? Molecules 2017, 22: 1135-1140.
doi: 10.3390/molecules22071135 pmid: 28686181
18.   Csermely P, Agoston V, Pongor S.The efficiency of multi-target drugs: the network approach might help drug design. Trends Pharmacol Sci 2005, 26: 178-182.
doi: 10.1016/j.tips.2005.02.007 pmid: 15808341
19.   Mayer LD, Janoff AS.Optimizing combination chemotherapy by controlling drug ratios. Mol Interv 2007, 7: 216-223.
doi: 10.1002/(SICI)1099-1204(199703)10:23.0.CO;2-T pmid: 17827442
20.   Goh KI, Cusick ME, Valle D, et al. The human disease network. Proc Natl Acad Sci USA 2007, 104: 8685-8690.
doi: 10.1073/pnas.0701361104
21.   Hopkins AL.Network pharmacology. Nat Biotech 2007, 25: 1110-1111.
doi: 10.1038/nbt1007-1110
22.   Hoeng J, Deehan R, Pratt DA.Network-based approach to quantifying the impact of biologically active substances. Drug Discov Today 2012, 17: 413-418.
doi: 10.1016/j.drudis.2011.11.008 pmid: 22155224
23.   Zhao J, Jiang P, Zhang W.Molecular networks for the study of TCM pharmacology. Brief Bioinform 2010, 11: 417-430.
doi: 10.1093/bib/bbp063 pmid: 20038567
24.   Ren TG, Liu XF, Gao JB.Introduction to traditional Chinese medicine basic database system. Chin J Inf Tradit Chin Med 2001, 8: 90-91.
25.   Qiao X, Hou T, Zhang W, et al. A 3D structure database of components from Chinese traditional medicinal herbs. J Chem Inf Comput Sci 2002, 42: 481-489.
26.   Xue R, Fang Z, Zhang M, et al. TCMID: traditional Chinese medicine integrative database for herb molecular mechanism analysis. Nucleic Acids Res 2013, 41: D1089-D1095.
doi: 10.1093/nar/gks1100 pmid: 3531123
27.   Chen CY.TCM Database@Taiwan: the world’s largest traditional Chinese medicine database for drug screening in silico. PLoS One 2011, 6: e15939.
doi: 10.1371/journal.pone.0015939
28.   Wishart DS, Knox C, Guo A.C, et al. DrugBank: a comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Res 2006, 34: 668-672.
doi: 10.1093/nar/gkj067 pmid: 16381955
29.   Kuhn M, Mering C, Campillos M, et al. Stitch: interaction networks of chemicals and proteins. Nucleic Acids Res 2008, 36: D684-D688.
doi: 10.1093/nar/gkm795 pmid: 18084021
30.   Gao Z, Li H, Zhang H, et al. PDTD: a web-accessible protein database for drug target identification. BMC Bioinformatics 2008, 19: 104.
doi: 10.1186/1471-2105-9-104 pmid: 18282303
31.   Ye H, Ye L, Kang H,et al. Hit: linking herbal active ingredients to targets. Nucleic Acids Res 2011, 39: D1055-D1059.
doi: 10.1093/nar/gkq1165 pmid: 21097881
32.   Yildirim MA, Goh KI, Cusick ME, et al. Drug-target network. Nat Biotechnol 2007, 25: 1119-1126.
doi: 10.1038/nbt1338
33.   Li S.Framework and practice of network-based studies for Chinese herbal formula. J Chin Integrat Med 2007, 5: 489-493.
doi: 10.3736/jcim20070501 pmid: 17854545
34.   Li S, Wu LJ, Zhang ZQ.Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach. Bioinformatics 2006, 22: 2143-2150.
doi: 10.1093/bioinformatics/btl363
35.   Huang Y, Li S.Detection of characteristic sub pathway network for angiogenesis based on the comprehensive pathway network. BMC Bioinformatics 2010, 11: S32.
doi: 10.1186/1471-2105-11-S1-S32
36.   Gu J, Chen Y, Li S, et al. Identification of responsive gene modules by network-based gene clustering and extending: application to inflammation and angiogenesis. BMC Syst Biol 2010, 21: 47.
37.   Gu J, Li S.Toward integrative annotating of the cell-type specific gene functional and signaling map in vascular endothelial cells. Mol Biosyst 2012, 8: 2041-2049.
doi: 10.1039/c2mb25065a
38.   Chen Y, Gu J, Li D, et al. Time-course network analysis reveals TNF-alpha can promote G1 / S transition of cell cycle invascular endothelial cells. Bioinformatics 2012, 28: 1-4.
doi: 10.1093/bioinformatics/btr619
39.   Li S, Zhang B, Jiang D.Herb network construction and co-module analysis for uncovering the combination rule of traditional Chinese herbal formulae. BMC Bioinform 2010, 11: S6.
40.   Li S.Network target: a starting point for traditional Chinese medicine network pharmacology. Chin J Chin Mater Med 2011, 36: 2017-2020.
doi: 10.4268/cjcmm20111502 pmid: 22066431
41.   Li S, Zhang B, Zhang NB.Network target for screening synergistic drug combinations with application to traditional Chinese medicine. BMC Syst Biol 2011, 5: S10.
42.   Zhao S, Li S.A co-module approach for elucidating drug-disease associations and revealing their molecular basis. Bioinformatics 2012, 28: 955-961.
43.   Li S, Zhao S.Network-based identification of drug target and drug action: China, 2010.
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