Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining

Xian-jun Fu; Zhen-guo Wang; Yi Qu; Peng Wang; Yang Zhou; Hua-yun Yu

doi:10.1007/s11655-013-1562-z

Your Location：

Home >

Browse articles >

Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining

OriginalPaper | Updated：2021-08-27

- Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining
- Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining
- 中国结合医学杂志（英文版） 2013年19卷第9期页码：663-667
- Affiliations：
  
  1. School of Information Management, Shandong University of Traditional Chinese Medicine,Jinan,China
  2. Mobile Postdoctoral Stations of Traditional Chinese Medical Science, Shandong University of Traditional Chinese Medicine,Jinan,China
  3. Eye Institute of Shandong University of Traditional Chinese Medicine,Jinan,China
- Author bio：
- Funds：
  
  Supported by the Major State Basic Research Development Program of China (973 Program, No. 2007CB512601), National High Technology Research and Development Program of China (863 Program, No. 2013AA093001), the Ph.D. Programs Foundation of Ministry of Education of China (No. 20123731120001), Postdoctoral Innovation Funds of Shandong Province (No. 201102036), and the Construction Program of Shandong Province University Scientific Innovation Team
- DOI：10.1007/s11655-013-1562-z
  中图分类号：
- 纸质出版日期：2013，
  
  网络出版日期：2013-8-24，
Scan for full text
Fu, Xj., Wang, Zg., Qu, Y. et al. Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining., Chin. J. Integr. Med. 19, 663–667 (2013). https://doi.org/10.1007/s11655-013-1562-z

Xian-jun Fu, Zhen-guo Wang, Yi Qu, et al. Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining[J]. Chinese Journal of Integrative Medicine, 2013,19(9):663-667.
Fu, Xj., Wang, Zg., Qu, Y. et al. Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining., Chin. J. Integr. Med. 19, 663–667 (2013). https://doi.org/10.1007/s11655-013-1562-z DOI：

Xian-jun Fu, Zhen-guo Wang, Yi Qu, et al. Study on the networks of “Nature-Family-Component” of Chinese medicinal herbs based on association rules mining[J]. Chinese Journal of Integrative Medicine, 2013,19(9):663-667. DOI： 10.1007/s11655-013-1562-z.

摘要

To explore appropriate methods for the research of the theory of Chinese medicine nature property and find the relationship between Nature-Family-Component of Chinese herbs. From perspective of systems biology

we used Associate Network to identify useful relationships among “Nature-Family-Component” of Herbs. In this work

Associate Network combines association rules mining method and network construction method to evaluate the complicate relationship among “Nature-Family-Component” of herbs screened. The results of association rules mining showed that the families had a close relationship with nature properties of herbs. For example

the families of Magnoliaceae

Araceae had a close relationship with hot nature with confidence of 100%

the families of Cucurbitaceae has a close relationship to cold nature with confidence of 90.91%. Moreover

the results of constructed Associate Network implied that herbs belonging to the same families generally had the same natures. In addition

some herbs belonging to different families may also have same natures when they contain the same main components. These results implied that the main components of herbs might affect their natures; the relationships between families and natures were based on the main compounds of herbs.

Abstract

we used Associate Network to identify useful relationships among “Nature-Family-Component” of Herbs. In this work

the families of Magnoliaceae

Araceae had a close relationship with hot nature with confidence of 100%

the families of Cucurbitaceae has a close relationship to cold nature with confidence of 90.91%. Moreover

the results of constructed Associate Network implied that herbs belonging to the same families generally had the same natures. In addition

关键词

Associate NetworkNature-Family-ComponentChinese medicinal herbs

Keywords

Associate NetworkNature-Family-ComponentChinese medicinal herbs

references

Wang ZG, Wang P, Li F, Zhang YQ, Qi DM. The review of four properties of medicinal herb. J Shandong Univ Tradit Chin Med (Chin) 2008;32:94.

Yang HJ, Tang SH, Huang LQ, Xiao PG. Research on nature of Chinese materia medica in view of genetic relationship. China J Chin Mater Med (Chin) 2008;33:2983–2985.

Chen SB, Peng Y, Chen SL, Xiao PG. Introduction of pharmaphylogeny. Modern Tradit Chin Med Mater World Sci Technol (Chin) 2005;7:97–103.

Ou YB, Wang ZG, Li F, Teng JL, Wang SJ, Wang P. The instruction and demonstration of hypothesis of “Natur-Effect-Conponent” of Chinese medicine. J Shandong Univ Tradit Chin Med (Chin) 2008;32:182.

Li S. Framework and practice of network-based studies for Chinese herbal formula. J Chin Integr Med (Chin) 2007;5:489–493.

Li S, Zhang B, Jiang D, Wei YY, Zhang NB. Herb network construction and co-module analysis for uncovering the combination rule of traditional Chinese herbal formulae. BMC Bioinform 2010;11(Suppl 11):S6.

Ma T, Tan C, Zhang H, Wang MQ, Ding WJ, Li S. Bridging the gap between traditional Chinese medicine and systems biology: the connection of Cold Syndrome and NEI network. Mol BioSyst 2010;6:613–619.

Tsay YJ, Chiang JY. CBAR: an efficient method for mining association rules. Knowl-Based Syst 2005;18:99–105.

Chinese Pharmacopoeia Committee. Chinese pharmacopoeia 2010 (Part I), 1st ed. Beijing: China Press of Traditional Chinese medicine; 2010.

Institute of Botany, CAS. The family and genius index of senior China plant. Beijing: Science Press; 2002.

Han JW, Kambe M. Data mining: concepts and techniques. San Mateo, CA: Morgan Kaufmann Publishers; 2000:70–79.

Agrawal R, Srikant R. Fast algor i thm for mining association rules//Proceedings of the 20th Very Large Data Bases (VLDB’94) Conference. Santiago, Chile: [s.n..], 1994:487–499.

Hsieh NC. An integrated data mining and behavioral scoring model for analyzing bank customers. Exp Syst Appl 2004;27:623–633

Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases[C]//Proceedings of the 1993 ACM SIGMOD Conference. Washington DC: [s.n.], 1993:207–216.

Cline MS, Smoot M, Cerami E, Kuchinsky A, Landys N, Workman C, et al. Integration of biological networks and gene expression data using Cytoscape. Nat Protoc 2007;2:2366–2382.

Zhao M, Chen YM, Qu DC, Qu H. TSdb: A database of transporter substrates linking metabolic pathways and transporter systems on a genome scale via their shared substrates. Sci China Life Sci 2011;54:60–64.

Zhu MZ, Gao L, Li X, Liu ZC. Identifying drug-target proteins based on network features. Sci China Ser C-Life Sci 2009;52:398–404.

Wang S, Zheng Z, Weng Y, Yu YJ, Zhang DF, Fan WH, et al. Angiogenesis and anti-angiogenesis activity of Chinese medicinal herbal extracts. Life Sci 2004;74:2467–78.

FULL TEXT LINK

More>

浏览量

759

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Survey of current experimental studies of effects of traditional Chinese medicine on peripheral nerve regeneration

Study on early application of chinese medicinal herbs after total gastrectomy

Effect of Kidney Tonifying Migu Tablet ( ) on osteoporosis rats) on osteoporosis rats

Photosensitizer screening from Chinese medicinal herbs and photodynamic anticancer Studies

Single-dose methotrexate Combined with Chinese medicinal herbs treated unruptured and ruptured ectopic pregnancy