文献
J-GLOBAL ID:202202216097395125
整理番号:22A0570321
roselleの抗高血糖活性成分のネットワーク薬理学ベース分析および実験的検証【JST・京大機械翻訳】
Network pharmacology-based analysis of the anti-hyperglycemic active ingredients of roselle and experimental validation
著者 (6件):
Niu Bingxuan
(Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, China)
,
Niu Bingxuan
(Collage of Pharmacy, Xinxiang Medical University, Xinxiang, Henan Province, 453002, China)
,
Xie Xu
(Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, China)
,
Xiong Xiaoming
(Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, China)
,
Jiang Junlin
(Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan, 410078, China)
,
Jiang Junlin
(Hunan Provincial Key Laboratory of Cardiovascular Research, Central South University, Changsha, 410078, China)
資料名:
Computers in Biology and Medicine
(Computers in Biology and Medicine)
巻:
141
ページ:
Null
発行年:
2022年
JST資料番号:
E0858A
ISSN:
0010-4825
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)