Study on the networks of "nature-Family-Component" of Chinese medicinal herbs based on association rules mining

Chinese Journal of Integrative Medicine

Volumn 19, Issue 9, 2013, Pages 663-667

  Fu, Xian Jun ^a   Wang, Zhen Guo ^a   Qu, Yi ^b   Wang, Peng ^a   Zhou, Yang ^a   Yu, Hua Yun ^a  

^a SHANDONG UNIVERSITY OF TRADITIONAL CHINESE MEDICINE   (China)

^b University of Traditional Chinese   (China)

Author keywords

Associate Network; Chinese medicinal herbs; Nature Family Component

Indexed keywords

BERBERINE; EMODIN; FERULIC ACID; GLUCOSE; HERBACEOUS AGENT; HESPERIDIN; LINARIN; LUTEOLIN; PALMATINE; PEIMININE; QUERCETIN; UNCLASSIFIED DRUG;

ARACEAE; ARALIACEAE; ARTICLE; ASTERACEAE; CHINESE MEDICINE; CUCURBITACEAE; HERB; LAMIACEAE; LEGUME; LILIACEAE; MAGNOLIACEAE; MINING; MORACEAE; NATURAL SCIENCE; NATURE FAMILY COMPONENT; NONHUMAN; NYMPHAEACEAE; PHYLOGENY; POACEAE; POLYGONACEAE; PRIORITY JOURNAL; ROSACEAE; RUTACEAE; SCRPOPHULARIACEAE; THEORY; UMBELLIFERAE; VERBENACEAE; ZINGIBERACEAE;

DRUGS, CHINESE HERBAL; MEDICINE, CHINESE TRADITIONAL; PLANTS, MEDICINAL;

EID: 84883272743     PISSN: 16720415     EISSN: 19930402     Source Type: Journal    
DOI: 10.1007/s11655-013-1562-z     Document Type: Article

References (18)

1. 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.
2. 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.
3. Chen SB, Peng Y, Chen SL, Xiao PG. Introduction of pharmaphylogeny. Modern Tradit Chin Med Mater World Sci Technol (Chin) 2005;7:97-103.
4. 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.
5. Li S. Framework and practice of network-based studies for Chinese herbal formula. J Chin Integr Med (Chin) 2007;5:489-493.
6. 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.
7. 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.
8. Tsay YJ, Chiang JY. CBAR: an efficient method for mining association rules. Knowl-Based Syst 2005;18:99-105.
9. Chinese Pharmacopoeia Committee. Chinese pharmacopoeia 2010 (Part I), 1st ed. Beijing: China Press of Traditional Chinese medicine; 2010.
10. Institute of Botany, CAS. The family and genius index of senior China plant. Beijing: Science Press; 2002.
11. Han JW, Kambe M. Data mining: concepts and techniques. San Mateo, CA: Morgan Kaufmann Publishers; 2000:70-79.
12. 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.
13. Hsieh NC. An integrated data mining and behavioral scoring model for analyzing bank customers. Exp Syst Appl 2004;27:623-633
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.