Suppr超能文献

关于[药物名称]治疗胃溃疡药理机制的网络药理学与分子对接分析

Network Pharmacology and Molecular Docking Analysis on Pharmacological Mechanisms of in the Treatment of Gastric Ulcer.

作者信息

Zhou Piao, Zhou Rui, Min Yao, An Li-Ping, Wang Fei, Du Quan-Yu

机构信息

Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.

出版信息

Evid Based Complement Alternat Med. 2022 Jan 31;2022:9007396. doi: 10.1155/2022/9007396. eCollection 2022.

Abstract

BACKGROUND

(AM, family: Leguminosae) exerts significant therapeutic effect on gastric ulcer (GU); however, there are scarce studies on its molecular mechanism against GU. This study aims to explore the key ingredients, key targets, and potential mechanisms of AM in the treatment of GU by utilizing network pharmacology and molecular docking.

METHODS

Several public databases were used to predict the targets of AM and GU, respectively, and the drug and disease targets were intersected to obtain the common targets. Next, the key ingredients and key targets were identified by constructing ingredient-target network and protein-protein-interaction (PPI) network. Gene Ontology biological processes (GOBP) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were carried out on the common targets in order to ascertain the biological processes and signaling pathways involved. Finally, molecular docking was conducted to verify the binding affinity between the key ingredients and key targets.

RESULTS

A total of 552 predicted targets were obtained from 23 screened active ingredients, of which 203 targets were the common targets with GU. Quercetin, kaempferol, and isorhamnetin were identified as the key ingredients by constructing ingredient-target network, and TP53, AKT1, VEGFA, IL6, TNF, CASP3, and EGFR were selected as the key targets by constructing PPI network. GOBP and KEGG pathway enrichment analysis suggested that the therapeutic effect of AM on GU involved multiple biological processes and signaling pathways related to inflammation, oxidative stress, apoptosis, cell proliferation, and angiogenesis. Molecular docking validation demonstrated that all key ingredients had good binding affinity with the key targets.

CONCLUSION

This study revealed the key ingredients, key targets, and potential mechanisms of AM against GU, and these data may provide some crucial references for subsequent research and development of drugs for treating GU.

摘要

背景

紫穗槐(豆科)对胃溃疡(GU)具有显著治疗作用;然而,关于其抗胃溃疡分子机制的研究较少。本研究旨在利用网络药理学和分子对接技术探索紫穗槐治疗胃溃疡的关键成分、关键靶点及潜在机制。

方法

分别使用多个公共数据库预测紫穗槐和胃溃疡的靶点,将药物和疾病靶点进行交集分析以获得共同靶点。接下来,通过构建成分-靶点网络和蛋白质-蛋白质相互作用(PPI)网络来确定关键成分和关键靶点。对共同靶点进行基因本体生物学过程(GOBP)和京都基因与基因组百科全书(KEGG)通路富集分析,以确定所涉及的生物学过程和信号通路。最后,进行分子对接以验证关键成分与关键靶点之间的结合亲和力。

结果

从23种筛选出的活性成分中总共获得552个预测靶点,其中203个靶点是与胃溃疡的共同靶点。通过构建成分-靶点网络确定槲皮素、山奈酚和异鼠李素为关键成分,通过构建PPI网络选择TP53、AKT1、VEGFA、IL6、TNF、CASP3和EGFR作为关键靶点。GOBP和KEGG通路富集分析表明,紫穗槐对胃溃疡的治疗作用涉及多个与炎症、氧化应激、细胞凋亡、细胞增殖和血管生成相关的生物学过程和信号通路。分子对接验证表明,所有关键成分与关键靶点均具有良好的结合亲和力。

结论

本研究揭示了紫穗槐抗胃溃疡的关键成分、关键靶点及潜在机制,这些数据可为后续治疗胃溃疡药物的研发提供重要参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58a3/8820867/75378083ae1d/ECAM2022-9007396.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验