Virtual screening and network pharmacology-based synergistic mechanism identification of multiple components contained in Guanxin V against coronary artery disease.
Virtual screening and network pharmacology-based synergistic mechanism identification of multiple components contained in Guanxin V against coronary artery disease.
复制标题
冠心五号成分抗冠心病的虚拟筛选及基于网络药理学的协同机制鉴定
DOI:
10.1186/s12906-020-03133-w
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发表时间:
2020-11-13
影响因子:
3.9
通讯作者:
Gu N
中科院分区:
文献类型:
--
作者:
Liang B;Zhang XX;Gu N
BackgroundGuanxin V (GXV), a traditional Chinese medicine (TCM), has been widely used to treat coronary artery disease (CAD) in clinical practice in China. However, research on the active components and underlying mechanisms of GXV in CAD is still scarce.MethodsA virtual screening and network pharmacological approach was utilized for predicting the pharmacological mechanisms of GXV in CAD. The active compounds of GXV based on various TCM-related databases were selected and then the potential targets of these compounds were identified. Then, after the CAD targets were built through nine databases, a PPI network was constructed based on the matching GXV and CAD potential targets, and the hub targets were screened by MCODE. Moreover, Metascape was applied to GO and KEGG functional enrichment. Finally, HPLC fingerprints of GXV were established.ResultsA total of 119 active components and 121 potential targets shared between CAD and GXV were obtained. The results of functional enrichment indicated that several GO biological processes and KEGG pathways of GXV mostly participated in the therapeutic mechanisms. Furthermore, 7 hub MCODEs of GXV were collected as potential targets, implying the complex effects of GXV-mediated protection against CAD. Six specific chemicals were identified.ConclusionGXV could be employed for CAD through molecular mechanisms, involving complex interactions between multiple compounds and targets, as predicted by virtual screening and network pharmacology. Our study provides a new TCM for the treatment of CAD and deepens the understanding of the molecular mechanisms of GXV against CAD.
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影响因子:
3.4
作者:
Huang W;Li L;Tian X;Yan J;Yang X;Wang X;Liao G;Qiu G
通讯作者:
Qiu G
DOI:
10.1155/2017/3217395
发表时间:
2017
期刊:
Evidence-based complementary and alternative medicine : eCAM
影响因子:
--
作者:
Cen W;Chen Z;Gu N;Hoppe R
通讯作者:
Hoppe R
影响因子:
3.3
作者:
Kitahiro, Yumi;Koike, Atsushi;Shibano, Makio
通讯作者:
Shibano, Makio
DOI:
10.3390/molecules21050588
发表时间:
2016-05-05
期刊:
Molecules (Basel, Switzerland)
影响因子:
--
作者:
Chen KB;Chen KC;Chang YL;Chang KL;Chang PC;Chang TT;Chen YC
通讯作者:
Chen YC
影响因子:
14.9
作者:
Davis AP;Grondin CJ;Johnson RJ;Sciaky D;McMorran R;Wiegers J;Wiegers TC;Mattingly CJ
通讯作者:
Mattingly CJ