The mechanisms of Qizhu Tangshen formula in the treatment of diabetic kidney disease: Network pharmacology, machine learning, molecular docking and experimental assessment.

Peng, Juqin; Yang, Kuo; Tian, Haoyu; Lin, Yadong; Hou, Min; Gao, Yunxiao; Zhou, Xuezhong; Gao, Zhuye; Ren, Junguo

Peng, Juqin; Yang, Kuo; Tian, Haoyu; Lin, Yadong; Hou, Min; Gao, Yunxiao; Zhou, Xuezhong; Gao, Zhuye; Ren, Junguo.

Affiliation

Peng J; China Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing 100091, China.
Yang K; School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China.
Tian H; School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China.
Lin Y; China Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing 100091, China.
Hou M; China Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing 100091, China; Beijing University of Chinese Medicine, Beijing 100029, China.
Gao Y; China Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing 100091, China.
Zhou X; School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China. Electronic address: xzzhou@bjtu.edu.cn.
Gao Z; China Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing 100091, China. Electronic address: zhuyegao@126.com.
Ren J; China Academy of Chinese Medical Sciences, Xiyuan Hospital, Beijing 100091, China. Electronic address: reek2003@163.com.

Phytomedicine ; 108: 154525, 2023 Jan.

Article in En | MEDLINE | ID: mdl-36413925

Subject(s)
Key words

Diabetic kidney disease; Machine learning; Network pharmacology; VEGF

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus / Diabetic Nephropathies Limits: Animals Language: En Journal: Phytomedicine Journal subject: TERAPIAS COMPLEMENTARES Year: 2023 Document type: Article Affiliation country: China

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