Institute of Computing Technology, Chinese Academy IR
SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping | |
Wu, Yang1,2; Zhang, Feilong1; Yang, Kuo3,4; Fang, Shuangsang2; Bu, Dechao2; Li, Hui2; Sun, Liang2; Hu, Hairuo2; Gao, Kuo1; Wang, Wei1; Zhou, Xuezhong3,4; Zhao, Yi1,2; Chen, Jianxin1 | |
2019-01-08 | |
发表期刊 | NUCLEIC ACIDS RESEARCH |
ISSN | 0305-1048 |
卷号 | 47期号:D1页码:D1110-D1117 |
摘要 | Recently, the pharmaceutical industry has heavily emphasized phenotypic drug discovery (PDD), which relies primarily on knowledge about phenotype changes associated with diseases. Traditional Chinese medicine (TCM) provides a massive amount of information on natural products and the clinical symptoms they are used to treat, which are the observable disease phenotypes that are crucial for clinical diagnosis and treatment. Curating knowledge of TCM symptoms and their relationships to herbs and diseases will provide both candidate leads and screening directions for evidence-based PDD programs. Therefore, we present SymMap, an integrative database of traditional Chinese medicine enhanced by symptom mapping. We manually curated 1717 TCM symptoms and related them to 499 herbs and 961 symptoms used in modern medicine based on a committee of 17 leading experts practicing TCM. Next, we collected 5235 diseases associated with these symptoms, 19 595 herbal constituents (ingredients) and 4302 target genes, and built a large heterogeneous network containing all of these components. Thus, SymMap integrates TCM with modern medicine in common aspects at both the phenotypic and molecular levels. Furthermore, we inferred all pairwise relationships among SymMap components using statistical tests to give pharmaceutical scientists the ability to rank and filter promising results to guide drug discovery. The SymMap database can be accessed at http://www.symmap.org/ and https://www.bioinfo.org/symmap. |
DOI | 10.1093/nar/gky1021 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2018YFC1313000] ; National Key Research and Development Program of China[2018YFC1313001] ; National Key Research and Development Program of China[2017YFC1703506] ; National Natural Science Foundation for Young Scholars of China[31701141] ; National Natural Science Foundation for Young Scholars of China[31701149] ; National Natural Science Foundation for Young Scholars of China[31501066] ; National Natural Science Foundation of China[91740113] ; National Natural Science Foundation of China[81522051] ; Innovation Project for Institute of Computing Technology, CAS[20186060] |
WOS研究方向 | Biochemistry & Molecular Biology |
WOS类目 | Biochemistry & Molecular Biology |
WOS记录号 | WOS:000462587400152 |
出版者 | OXFORD UNIV PRESS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/4156 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Zhou, Xuezhong; Zhao, Yi; Chen, Jianxin |
作者单位 | 1.Beijing Univ Chinese Med, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Adv Comp Res Ctr, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 3.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 4.Beijing Jiaotong Univ, Beijing Key Lab Traff Data Anal & Min, Beijing 100044, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Yang,Zhang, Feilong,Yang, Kuo,et al. SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping[J]. NUCLEIC ACIDS RESEARCH,2019,47(D1):D1110-D1117. |
APA | Wu, Yang.,Zhang, Feilong.,Yang, Kuo.,Fang, Shuangsang.,Bu, Dechao.,...&Chen, Jianxin.(2019).SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping.NUCLEIC ACIDS RESEARCH,47(D1),D1110-D1117. |
MLA | Wu, Yang,et al."SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping".NUCLEIC ACIDS RESEARCH 47.D1(2019):D1110-D1117. |
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