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基于网络药理学的艾蒿活性化合物虚拟筛选及其对胃溃疡的潜在靶点。

Virtual screening of active compounds from Artemisia argyi and potential targets against gastric ulcer based on Network pharmacology.

机构信息

School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, PR China; Beijing Shijitan Hospital, Capital Medical University, Beijing Key Laboratory of Bio-characteristic Profiling for Evaluation of Rational Drug Use, Beijing 100038, PR China.

School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang 110016, PR China.

出版信息

Bioorg Chem. 2019 Jul;88:102924. doi: 10.1016/j.bioorg.2019.102924. Epub 2019 Apr 13.

Abstract

Artemisia argyi (AA) is one of the renowned herbs in China often used in the treatment of gastric ulcer (GU). Aiming to predict the active compounds and systematically investigate the mechanisms of Artemisia argyi for GU treatment, the approach of network pharmacology, molecular docking, gene ontology (GO) analysis, and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis were adopted, respectively, in present study. A total of 13 predicted targets of the 103 compounds in Artemisia argyi were obtained. Sorted by pathogenic mechanisms of targets and structure types of compounds, it was revealed that flavonoids and sesquiterpenes had better performance than monoterpenes. The network analysis showed that Phospholipase a2 (PA21B), Sulfotransferase family cytosolic 2b member 1 (ST2B1), Nitric-oxide synthase, endothelial (NOS3), Gastrin (GAST), neutrophil collagenase (MMP-8), Leukotriene A-4 hydrolase (LKHA4), Urease maturation factor HypB (HYPB), and Periplasmic serine endoprotease DegP (HtrA) were the key targets with intensely interaction. The functional enrichment analysis indicated that AA probably produced the gastric mucosa protection effects by synergistically regulating many biological pathways, such as NF-κB signaling pathway, HIF-1 signaling pathway, TNF signaling pathway, VEGF signaling pathway, and Toll-like receptor signaling pathway, etc. In addition, C73 and C15 might be promising leading compounds with good molecular docking score. As a consequence, this study holistically illuminates the active constituents and mechanisms based on data analysis, which contributes to searching for leading compounds and the development of new drugs for gastric ulcer.

摘要

艾草(AA)是中国著名的草药之一,常用于治疗胃溃疡(GU)。本研究采用网络药理学、分子对接、基因本体(GO)分析和京都基因与基因组百科全书(KEGG)通路富集分析等方法,预测艾草的活性化合物,并系统研究其治疗 GU 的机制。共获得了 103 种化合物中 13 个预测靶点。根据靶点的发病机制和化合物的结构类型进行排序,结果表明黄酮类和倍半萜类化合物的性能优于单萜类化合物。网络分析表明,磷脂酶 A2(PA21B)、磺基转移酶家族胞质 2b 成员 1(ST2B1)、一氧化氮合酶,内皮(NOS3)、胃泌素(GAST)、中性粒细胞胶原酶(MMP-8)、白三烯 A-4 水解酶(LKHA4)、脲酶成熟因子 HypB(HYPB)和周质丝氨酸内切蛋白酶 DegP(HtrA)是具有强烈相互作用的关键靶点。功能富集分析表明,AA 可能通过协同调节 NF-κB 信号通路、HIF-1 信号通路、TNF 信号通路、VEGF 信号通路和 Toll 样受体信号通路等多种生物途径,产生胃黏膜保护作用。此外,C73 和 C15 可能是具有良好分子对接评分的有前途的先导化合物。因此,本研究通过数据分析全面阐明了活性成分和机制,有助于寻找治疗胃溃疡的先导化合物和开发新药。

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