重症肌无力
背景(考古学)
机制(生物学)
医学
药理学
活性成分
系统药理学
作用机理
药品
传统医学
计算生物学
生物
免疫学
古生物学
体外
哲学
认识论
生物化学
作者
Xiaoming Liu,YingYan Kuang,CaiRu Bian,Shaowen Hu,YuanFang Xie,Beibei Zhao,Jin Yuanlin
标识
DOI:10.1080/02648725.2023.2193048
摘要
Myasthenia gravis is a major disease in the context of an ageing society, and the discovery of effective herbal compound and herbal active ingredients is a highly promising direction for the treatment of myasthenia gravis. In this study, we selected shujiao, dried ginger and ginseng from the compound ingredients through a network pathology approach. The three ingredients were used to obtain drug targets in Traditional Chinese Medicine Systems Pharmacology (TCMSP), HERB and BATMAN-TCM data and intersected with the disease targets of myasthenia gravis. The resulting regulatory network maps were then used to identify core genes through the String database, and finally the core genes were molecularly aligned with the corresponding active ingredients using Autodock vina software. The 'herbal-component-target' regulatory network of the Chinese herbal formulae was constructed, which is important for finding the potential molecular mechanism for the treatment of myasthenia gravis. It will provide a theoretical basis for the therapeutic and clinical research of myasthenia gravis.
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