中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula

文献类型:期刊论文

作者Dai, Wen1; Chen, Jianxin2; Lu, Peng1,3; Gao, Yibo1; Chen, Lin1; Liu, Xi1; Song, Jianglong1; Xu, Haiyu3; Chen, Di1; Yang, Yiping1
刊名MOLECULAR BIOSYSTEMS
出版日期2013
卷号9期号:3页码:375-385
英文摘要Traditional Chinese Medicine (TCM) remedies are composed of different chemical compounds. To understand the underlying pharmacological basis, we need to explore the active components, which function systematically against multiple gene targets to exert efficacy. Predicting active component-gene target interactions could help us decipher the mechanism of action of TCM. Here, we introduce a Pathway Pattern-based method to prioritize the 153 candidate compounds and 7895 associated genes using the extracted Pathway Pattern, which is made up of groups of pathways. The gene prioritization result is compared to previous literature findings to demonstrate the top ranked genes' roles in the pathogenesis of H1N1 influenza. Further, molecular docking is utilized to validate compounds' effects through docking compounds into drug targets of oseltamivir. After setting thresholds, 16 active components, 29 gene targets and 162 active component-gene target interactions are finally identified to elucidate the pharmacology of maxingshigan-yinqiaosan formula. This novel strategy is expected to serve as a springboard for the efforts to standardize and modernize TCM.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
类目[WOS]Biochemistry & Molecular Biology
研究领域[WOS]Biochemistry & Molecular Biology
关键词[WOS]TRADITIONAL CHINESE MEDICINE ; MOLECULAR NETWORKS ; CRYSTAL-STRUCTURE ; VIRUS ; OSELTAMIVIR ; INFECTION ; DISCOVERY ; PRIORITIZATION ; DISEASE ; KNOWLEDGEBASE
收录类别SCI
语种英语
WOS记录号WOS:000314473500006
源URL[http://ir.ia.ac.cn/handle/173211/4163]  
专题自动化研究所_综合信息系统研究中心
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Beijing Univ Chinese Med, Beijing 100029, Peoples R China
3.China Acad Chinese Med Sci, Inst Chinese Mat Med, Beijing 100170, Peoples R China
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GB/T 7714
Dai, Wen,Chen, Jianxin,Lu, Peng,et al. Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula[J]. MOLECULAR BIOSYSTEMS,2013,9(3):375-385.
APA Dai, Wen.,Chen, Jianxin.,Lu, Peng.,Gao, Yibo.,Chen, Lin.,...&Huang, Luqi.(2013).Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula.MOLECULAR BIOSYSTEMS,9(3),375-385.
MLA Dai, Wen,et al."Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula".MOLECULAR BIOSYSTEMS 9.3(2013):375-385.

入库方式: OAI收割

来源:自动化研究所

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