Exploiture and application of an internet-based Computation Platform for Integrative Pharmacology of Traditional Chinese Medicine.
10.19540/j.cnki.cjcmm.2017.0141
- Author:
Hai-Yu XU
1
;
Zhen-Ming LIU
2
;
Yan FU
3
;
Yan-Qiong ZHANG
1
;
Jian-Jun YU
4
;
Fei-Fei GUO
1
;
Shi-Huan TANG
1
;
Chuan-Yu LV
2
;
Jin SU
1
;
Ru-Yi CUI
1
;
Hong-Jun YANG
1
Author Information
1. Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
2. School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
4. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China.
- Publication Type:Journal Article
- Keywords:
data mining;
integrative pharmacology;
network pharmacology;
network target prediction;
the big data of traditional Chinese medicine
- From:
China Journal of Chinese Materia Medica
2017;42(18):3633-3638
- CountryChina
- Language:Chinese
-
Abstract:
Recently, integrative pharmacology(IP) has become a pivotal paradigm for the modernization of traditional Chinese medicines(TCM) and combinatorial drugs discovery, which is an interdisciplinary science for establishing the in vitro and in vivo correlation between absorption, distribution, metabolism, and excretion/pharmacokinetic(ADME/PK) profiles of TCM and the molecular networks of disease by the integration of the knowledge of multi-disciplinary and multi-stages. In the present study, an internet-based Computation Platform for IP of TCM(TCM-IP, www.tcmip.cn) is established to promote the development of the emerging discipline. Among them, a big data of TCM is an important resource for TCM-IP including Chinese Medicine Formula Database, Chinese Medical Herbs Database, Chemical Database of Chinese Medicine, Target Database for Disease and Symptoms, et al. Meanwhile, some data mining and bioinformatics approaches are critical technology for TCM-IP including the identification of the TCM constituents, ADME prediction, target prediction for the TCM constituents, network construction and analysis, et al. Furthermore, network beautification and individuation design are employed to meet the consumer's requirement. We firmly believe that TCM-IP is a very useful tool for the identification of active constituents of TCM and their involving potential molecular mechanism for therapeutics, which would wildly applied in quality evaluation, clinical repositioning, scientific discovery based on original thinking, prescription compatibility and new drug of TCM, et al.
