TCMID: Traditional Chinese Medicine integrative database for herb molecular mechanism analysis.
TCMID: Traditional Chinese Medicine integrative database for herb molecular mechanism analysis.
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TCMID：中药分子机制分析综合数据库
DOI：
10.1093/nar/gks1100
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发表时间：
2013-01
影响因子：
14.9
通讯作者：
Shi T
中科院分区：
文献类型：
--
作者：
Xue R;Fang Z;Zhang M;Yi Z;Wen C;Shi T
作为现代西方医学的替代品，中医药在世界范围内受到越来越多的关注。中医药现代化是中医学与现代西医学之间的差距，中医药现代化是中医学发展的一个重要方向。由于中药与现代医学在分子水平上有一个共同点，即化合物扰乱人体的功能障碍网络，恢复人体正常的生理状态，因此化合物（中药，指成分）与其靶点（蛋白质）的关系应该是中医与现代医学联系的关键因素。为此，我们构建了中医药信息集成数据库（TCMID，http：//www.megabionet.org/tcmid/），该数据库通过文本挖掘的方法，从不同的资源中收集了中医药相关的信息。为了扩大TCMID的范围，数据已链接到常见药物和疾病数据库，包括Drugbank，OMIM和PubChem。目前，中医药信息数据库包含了147000个方剂、8159种中药、25210种化合物、6828种药物、3791种疾病和17521个相关靶点，是相关领域最大的数据集。我们的网络软件显示了中药与其治疗疾病、有效成分与其靶点之间的整合关系网络，这将有助于从分子水平研究联合治疗和理解中医药的潜在机制。
As an alternative to modern western medicine, Traditional Chinese Medicine (TCM) is receiving increasingly attention worldwide. Great efforts have been paid to TCM’s modernization, which tries to bridge the gap between TCM and modern western medicine. As TCM and modern western medicine share a common aspect at molecular level that the compound(s) perturb human’s dysfunction network and restore human normal physiological condition, the relationship between compounds (in herb, refer to ingredients) and their targets (proteins) should be the key factor to connect TCM and modern medicine. Accordingly, we construct this Traditional Chinese Medicine Integrated Database (TCMID, http://www.megabionet.org/tcmid/), which records TCM-related information collected from different resources and through text-mining method. To enlarge the scope of the TCMID, the data have been linked to common drug and disease databases, including Drugbank, OMIM and PubChem. Currently, our TCMID contains ∼47 000 prescriptions, 8159 herbs, 25 210 compounds, 6828 drugs, 3791 diseases and 17 521 related targets, which is the largest data set for related field. Our web-based software displays a network for integrative relationships between herbs and their treated diseases, the active ingredients and their targets, which will facilitate the study of combination therapy and understanding of the underlying mechanisms for TCM at molecular level.
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影响因子：
14.9
作者：
Keshava Prasad TS;Goel R;Kandasamy K;Keerthikumar S;Kumar S;Mathivanan S;Telikicherla D;Raju R;Shafreen B;Venugopal A;Balakrishnan L;Marimuthu A;Banerjee S;Somanathan DS;Sebastian A;Rani S;Ray S;Harrys Kishore CJ;Kanth S;Ahmed M;Kashyap MK;Mohmood R;Ramachandra YL;Krishna V;Rahiman BA;Mohan S;Ranganathan P;Ramabadran S;Chaerkady R;Pandey A
通讯作者：
Pandey A
DOI：
10.1021/ci0003101
发表时间：
2001-03-01
期刊：
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
影响因子：
--
作者：
He, M;Yan, XJ;Xie, GR
通讯作者：
Xie, GR
影响因子：
--
作者：
Fang, Yu-Ching;Huang, Hsuan-Cheng;Juan, Hsueh-Fen
通讯作者：
Juan, Hsueh-Fen
DOI：
10.1021/ci010113h
发表时间：
2002-05-01
期刊：
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
影响因子：
--
作者：
Qiao, XB;Hou, TJ;Xu, SJ
通讯作者：
Xu, SJ
HIT：将草药活性成分与目标联系起来
影响因子：
14.9
作者：
Ye H;Ye L;Kang H;Zhang D;Tao L;Tang K;Liu X;Zhu R;Liu Q;Chen YZ;Li Y;Cao Z
通讯作者：
Cao Z