An integrative analysis to predict the active compounds and explore polypharmacological mechanisms of Orthosiphon stamineus Benth.

计算生物学 对接(动物) 化学 传统医学 医学 生物 护理部
作者
Xingqiang Wang,Weiqing Zhao,Xiaoyu Zhang,Zongqing Wang,Chang Han,Jiapeng Xu,Guohui Yang,Jiangyun Peng,Zhaofu Li
出处
期刊:Computers in Biology and Medicine [Elsevier]
卷期号:163: 107160-107160 被引量:9
标识
DOI:10.1016/j.compbiomed.2023.107160
摘要

Orthosiphon stamineus Benth is a dietary supplement and traditional Chinese herb with widespread clinical applications, but a comprehensive understanding of its active compounds and polypharmacological mechanisms is lacking. This study aimed to systematically investigate the natural compounds and molecular mechanisms of O. stamineus via network pharmacology.Information on compounds from O. stamineus was collected via literature retrieval, while physicochemical properties and drug-likeness were evaluated using SwissADME. Protein targets were screened using SwissTargetPrediction, while the compound-target networks were constructed and analyzed via Cytoscape with CytoHubba for seed compounds and core targets. Enrichment analysis and disease ontology analysis were then carried out, generating target-function and compound-target-disease networks to intuitively explore potential pharmacological mechanisms. Lastly, the relationship between active compounds and targets was confirmed via molecular docking and dynamics simulation.A total of 22 key active compounds and 65 targets were identified and the main polypharmacological mechanisms of O. stamineus were addressed. The molecular docking results suggested that nearly all core compounds and their targets possess good binding affinity. In addition, the separation of receptor and ligands was not observed in all dynamics simulation processes, whereas complexes of orthosiphol Z-AR and Y-AR performed best in simulations of molecular dynamics.This study successfully identified the polypharmacological mechanisms of the main compounds in O. stamineus, and predicted five seed compounds along with 10 core targets. Moreover, orthosiphol Z, orthosiphol Y, and their derivatives can be utilized as lead compounds for further research and development. The findings here provide improved guidance for subsequent experiments, and we identified potential active compounds for drug discovery or health promotion.
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
刚刚
1秒前
1秒前
香蕉觅云应助马关维采纳,获得10
3秒前
zhaoyang发布了新的文献求助30
3秒前
科研通AI6.3应助michen采纳,获得10
4秒前
Dreamstar发布了新的文献求助10
4秒前
5秒前
风清扬发布了新的文献求助10
5秒前
不渝发布了新的文献求助10
5秒前
江南发布了新的文献求助10
5秒前
Hey发布了新的文献求助10
6秒前
FashionBoy应助木头鱼采纳,获得10
7秒前
虚心恋风发布了新的文献求助40
7秒前
7秒前
8秒前
Lucas应助小盼采纳,获得10
8秒前
lt发布了新的文献求助30
8秒前
8秒前
xiaoying完成签到,获得积分10
8秒前
乔苏惠娜完成签到,获得积分10
9秒前
peanut完成签到 ,获得积分10
10秒前
10秒前
10秒前
烟花应助小乖采纳,获得10
11秒前
只想发财发布了新的文献求助10
12秒前
关远航发布了新的文献求助10
13秒前
Komorebi发布了新的文献求助10
14秒前
翎儿响叮当完成签到 ,获得积分10
14秒前
ff发布了新的文献求助10
15秒前
小猪完成签到,获得积分10
15秒前
16秒前
will完成签到,获得积分10
16秒前
QJQ完成签到 ,获得积分10
17秒前
刘MTY完成签到 ,获得积分10
17秒前
jingxuan发布了新的文献求助10
19秒前
嗷嗷嗷发布了新的文献求助10
19秒前
王子努力搞科研完成签到 ,获得积分10
19秒前
19秒前
19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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6015605
求助须知:如何正确求助?哪些是违规求助? 7594203
关于积分的说明 16149448
捐赠科研通 5163387
什么是DOI,文献DOI怎么找? 2764357
邀请新用户注册赠送积分活动 1745025
关于科研通互助平台的介绍 1634761