CASIA OpenIR  > 综合信息系统研究中心
Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula
Dai, Wen1; Chen, Jianxin2; Lu, Peng1,3; Gao, Yibo1; Chen, Lin1; Liu, Xi1; Song, Jianglong1; Xu, Haiyu3; Chen, Di1; Yang, Yiping1; Yang, Hongjun3; Huang, Luqi3
发表期刊MOLECULAR BIOSYSTEMS
2013
卷号9期号:3页码:375-385
文章类型Article
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
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研究方向Biochemistry & Molecular Biology
WOS类目Biochemistry & Molecular Biology
WOS记录号WOS:000314473500006
引用统计
被引频次:19[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/4163
专题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
第一作者单位中国科学院自动化研究所
推荐引用方式
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Pathway Pattern-base(742KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Dai, Wen]的文章
[Chen, Jianxin]的文章
[Lu, Peng]的文章
百度学术
百度学术中相似的文章
[Dai, Wen]的文章
[Chen, Jianxin]的文章
[Lu, Peng]的文章
必应学术
必应学术中相似的文章
[Dai, Wen]的文章
[Chen, Jianxin]的文章
[Lu, Peng]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Pathway Pattern-based prediction of active drug components and gene targets from H1N1 influenza's treatment with maxingshigan-yinqiaosan formula.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。