|
 Services |
|
|
 |
Subscribe |
|
|
|
|
|
|
Response |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Information
For |
|
|
|
|
|
|
|
|
| About
JCIM |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Journal of Chinese Integrative Medicine: 2007; 5(5): 489-493
DOI: 10.3736/jcim20070501 |
|
| Framework and practice of network-based studies for Chinese herbal formula |
| Shao LI (MOE Key Laboratory of Bioinformatics, Department of Automation, Tsinghua University and Bioinformatics Division, Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China E-mail: shaoli@tsinghua.edu.cn) |
|
|
ABSTRACT: The ZHENG (syndrome of traditional Chinese medicine) oriented effects and the multiple-targets' mechanism are the main challenges encountered by recent researches for Chinese herbal formula. Using methods of bioinformatics and systems biology, we proposed a biological network-based framework for understanding the mechanism of Chinese herbal formula, and reviewed our studies under this framework which aimed to explore the relationship between Chinese herbal formula and corresponding ZHENGs, as well as the synergism of herbal combinations. These studies include the network construction for cold or heat ZHENG and its relationship with herbal formula of hot or cold nature, the biological network construction of angiogenesis, and the network regulation-based emergent property of an herbal combination with anti-angiogenesis synergism extracting from the cold formula. It is shown that the ZHENG-oriented effects and the herbal synergism can be nicely explicated by such network-based approaches. Thus, the network-based drug combination discovery, as well as the "traditional Chinese medicine bioinformatics (TCMB)" and "TCM computational systems biology" combining with computational and experimental approaches, is conceivable and can open a new avenue for understanding Chinese herbal formula. |
|
| Welcome to JCIM! You are the number
4257
reader of this article! |
|
| Download Article: |
| [Full Text] [PDF] [Chinese] [Next] [This Issue] |
|
| Please cite this article as: |
| Li S. Framework and practice of network-based studies for Chinese herbal formula. J Chin Integr Med / Zhong Xi Yi Jie He Xue Bao. 2007; 5(5): 489-493. |
|
| References:
|
| 1 | Li S. The relationship between ZHENG in traditional Chinese medicine and the regulation of biological network. In: Zhou GZ. Facing the progresses of science & technology and social economy in the 21st century—The first annual science conference of China Association for Science and Technology[M]. 1st ed. Beijing: China Science and Technology Press, 1999. 442. Chinese. |
| 2 | Li S, Wang YY, Ji L, et al. A discussion and case study of complexities in traditional Chinese medicine[J].Xi Tong Fang Zhen Xue Bao, 2002, 14(11): 1429-1431, 1442. Chinese with abstract in English. |
| 3 | Alon U. Biological networks: the tinkerer as an engineer[J].Science, 2003, 301(5641): 1866-1867. . |
| 4 | Cai DF, Shen ZY. Cogitation of neuro-endocrine-immune network research in the field of integrated Chinese and Western medicine[J].Zhongguo Zhong Xi Yi Jie He Za Zhi, 1997, 17(7): 442-445. Chinese. |
| 5 | Liu DL. Regulation of molecular networks[J].Zhongguo Zhong Yi Ji Chu Yi Xue Za Zhi, 1997, 3(6): 1-5. Chinese. |
| 6 | Shen WX, Liu YM. Cytokine network and the effect of Chinese herbal medicine[J].Shi Jie Ke Xue Ji Shu—Zhong Yao Xian Dai Hua, 2000, 2(6): 24-27. Chinese. |
| 7 | Barabasi AL, Oltvai ZN. Network biology: understanding the cell's functional organization[J].Nat Rev Genet, 2004, 5(2): 101-113. . |
| 8 | Stelzl U, Worm U, Lalowski M, et al. A human protein-protein interaction network: a resource for annotating the proteome[J].Cell, 2005, 122(6): 957-968. . |
| 9 | Hood L, Heath JR, Phelps ME, et al. Systems biology and new technologies enable predictive and preventative medicine[J].Science, 2004, 306(5696): 640-643. . |
| 10 | Cohen BD, Baker DA, Soderstrom C, et al. Combination therapy enhances the inhibition of tumor growth with the fully human anti-type 1 insulin-like growth factor receptor monoclonal antibody CP-751, 871[J].Clin Cancer Res, 2005, 11(5): 2063-2073. . |
| 11 | Kitano H. Cancer as a robust system: implications for anticancer therapy[J].Nat Rev Cancer, 2004, 4(3): 227-235. . |
| 12 | Folkman J. Angiogenesis in cancer, vascular, rheumatoid and other disease[J].Nat Med, 1995, 1(1): 27-31. . |
| 13 | Jain RK. Normalization of tumor vasculature: an emerging concept in antiangiogenic therapy[J].Science, 2005, 307(5706): 58-62. . |
| 14 | Li S, Wang YY. Preliminary study on theoretical system of syndrome differentiation treatment of rheumatoid arthritis from "collaterals"[J].Zhong Yi Za Zhi, 2002, 43(2): 85-88. Chinese. |
| 15 | Li S, Zhang ZQ, Wu LJ, et al. Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network[J].IET Syst Biol, 2007, 1(1): 51-60. . |
| 16 | Li S, Wu LJ, Zhang ZQ. Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach[J].Bioinformatics, 2006, 22(7): 2143-2150. . |
| 17 | Li S, Wu M. An herbal-compound combination with synergy effects for the treatment of angiogenesis related diseases (an invention patent). 200610114226.X. Chinese. |
| 18 | Li S, Lu A, Li B, et al. Circadian rhythms on hypothalamic-pituitary-adrenal axis hormones and cytokines of collagen induced arthritis in rats[J].J Autoimmun, 2004, 22(4): 277-285. . |
| 19 | Li S, Fang YH. Modelling circadian rhythms of protein KaiA, KaiB and KaiC interactions in cyanobacteria[J].Biol Rhythm Res, 2007, 38(1): 43-53. . |
| 20 | Zhuang Y, Li S, Li Y. dbNEI: a specific database for neuro-endocrine-immune interactions[J].Neuro Endocrinol Lett, 2006, 27(1/2): 53-59. . |
| 21 | Li S, Lu AP, Wang YY, et al. Suppressive effects of a Chinese herbal medicine Qing-Luo-Yin extract on the angiogenesis of collagen induced arthritis in rats[J].Am J Chin Med, 2003, 31(5): 713-720. . |
| 22 | Fan TP, Yeh JC, Leung KW, et al. Angiogenesis: from plants to blood vessels[J].Trends Pharmacol Sci, 2006, 27(6): 297-309. . |
|
|
|
|
|
|