Deciphering the Mechanism of YuPingFeng Granules in Treating Pneumonia: A Network Pharmacology and Molecular Docking Study

作者
Bing Huang,Jing Luo,Liuyuan Liu,Wusheng Deng,Ke Wang,Hua-Song Lu,Jinliang Kong
出处
期刊:Evidence-based Complementary and Alternative Medicine [Hindawi Publishing Corporation]
卷期号:2022: 1-11 被引量:4
标识
DOI:10.1155/2022/4161235
摘要

Objective: YuPingFeng Granules (YPFGs) is an herbal formula clinically used in China for more than 100 years to treat pneumonia. Nevertheless, the mechanism of YPFG in pneumonia treatment has not been established. This network pharmacology-based strategy has been performed to elucidate active compounds as well as mechanisms of YPFG in pneumonia treatment. Methods: First, active compounds of YPFG were identified in the traditional Chinese medicine systems pharmacology (TCMSP) database, and then the targets related to the active compounds were obtained from TCMSP and Swiss Target Prediction databases. Next, using DisGeNET, DrugBank, and GeneCards databases, we got therapeutic targets of pneumonia and common targets between pneumonia targets and YPFG. After that, a protein-protein interaction (PPI) network of pneumonia composed of common targets was built to analyze the interactions among these targets, which focused on screening for hub targets by topology. Then, online software and the ClusterProfiler package were utilized for the enrichment analysis of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) data. Finally, the visualization software of Autodock was used for molecular docking among the hub target proteins. Results: 10 hub genes were selected by comparing the GO and KEGG functions of pneumonia targets with those of the common targets of YPFG and pneumonia. By using molecular docking technology, a total of 3 active ingredients have been verified as being able to combine closely with 6 hub targets and contribute to their therapeutic effects. Conclusion: This research explored the multigene pharmacological mechanism of action of YPFG against pneumonia through network pharmacology. The findings present new ideas for studying the mechanism of action of Chinese medicine against pneumonia caused by bacteria.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Hollen完成签到 ,获得积分10
刚刚
CYYDNDB完成签到 ,获得积分10
刚刚
cara33完成签到,获得积分10
刚刚
淡淡的寄灵完成签到,获得积分10
刚刚
1秒前
所所应助jun采纳,获得10
1秒前
Hello应助Verne采纳,获得10
1秒前
疯狂的夜云完成签到,获得积分20
1秒前
过时的南烟完成签到,获得积分10
2秒前
liuj完成签到,获得积分10
2秒前
包容咖啡完成签到 ,获得积分10
3秒前
雨碎寒江完成签到,获得积分10
3秒前
蓝蓝的天空完成签到 ,获得积分10
4秒前
肉肉完成签到,获得积分10
4秒前
levitt233完成签到,获得积分10
4秒前
凯七完成签到,获得积分10
5秒前
充电宝应助CF采纳,获得30
6秒前
6秒前
追寻秋莲完成签到 ,获得积分10
6秒前
7秒前
7秒前
随时黑化的严莉莉完成签到,获得积分10
8秒前
吉吉发布了新的文献求助10
8秒前
zidane10完成签到,获得积分10
8秒前
六点完成签到,获得积分10
8秒前
希望天下0贩的0应助zzt采纳,获得10
8秒前
东方夏利发布了新的文献求助10
9秒前
852应助高兴晓槐采纳,获得10
9秒前
灵巧的春天完成签到,获得积分10
10秒前
无钱完成签到 ,获得积分10
10秒前
10秒前
小寇完成签到,获得积分20
10秒前
稳重的蜡烛完成签到,获得积分10
10秒前
木可完成签到 ,获得积分10
10秒前
zimu012完成签到,获得积分10
11秒前
CodeCraft应助只想发SCI采纳,获得10
11秒前
zzzz完成签到,获得积分10
12秒前
yunwen完成签到,获得积分10
12秒前
silvia-z完成签到,获得积分10
12秒前
李好人完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7739131
求助须知:如何正确求助?哪些是违规求助? 9288013
关于积分的说明 20186375
捐赠科研通 7317088
什么是DOI,文献DOI怎么找? 3306031
关于科研通互助平台的介绍 2458554
邀请新用户注册赠送积分活动 2315974