已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Prediction of the Molecular Mechanism of Corni Fructus-Epimedii Folium- Rehmanniae Radix Praeparata in the Treatment of Postmenopausal Osteoporosis based on Network Pharmacology and Molecular Docking

绝经后骨质疏松症 医学 计算生物学 小桶 药品 骨质疏松症 药理学 生物信息学 生物 内科学 骨矿物 生物化学 基因 基因表达 转录组
作者
Yu Zhou,Xin Li,Jinchao Wang,Rong He,Liqi Ng,Dapeng Li,Mortimer Jeremy,Swastina Nath Varma,JF Hu,Qing Zhao,Zeyu Peng,Chaozong Liu,Songchuan Su
出处
期刊:Current Computer - Aided Drug Design [Bentham Science]
卷期号:20 (2): 87-103
标识
DOI:10.2174/1573409919666230605123129
摘要

Introduction: In this study, core drugs of clinical postmenopausal osteoporosis were retrieved using data mining, the drug molecular action target was predicted through network pharmacology, the key nodes of interaction were identified by combining postmenopausal osteoporosis-related targets, and the pharmacological mechanism of Traditional Chinese Medicine (TCM) against postmenopausal osteoporosis and other action mechanisms was explored. Methods: TCMISS V2.5 was used to collect TCM prescriptions of postmenopausal osteoporosis from databases, including Zhiwang, Wanfang, PubMed, etc., for selecting the highest confidence drugs. TCMSP and SwissTargetPrediction databases were selected to screen the main active ingredients of the highest confidence drugs and their targets. Relevant targets for postmenopausal osteoporosis were retrieved from GeneCards and GEO databases, PPI network diagrams construction and selection of core nodes in the network, GO and KEGG enrichment analysis, and molecular docking validation. Results: Correlation analysis identified core drug pairs as 'Corni Fructus-Epimedii Folium- Rehmanniae Radix Praeparata' (SZY-YYH-SDH). After TCMSP co-screening and de-weighting, 36 major active ingredients and 305 potential targets were selected. PPI network graph was built from the 153 disease targets and 24 TCM disease intersection targets obtained. GO, KEGG enrichment results showed that the intersectional targets were enriched in the PI3K-Akt signalling pathway, etc. The target organs were mainly distributed in the thyroid, liver, CD33+_Myeloid, etc. Molecular docking results showed that the core active ingredients of the 'SZY-YYH-SDH' were able to bind to the pair core nodes and PTEN and EGFR. Conclusion: The results showed that 'SZY-YYH-SDH' can provide the basis for clinical application and treat postmenopausal osteoporosis through multi-component, multi-pathway, and multitarget effects.

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
dada发布了新的文献求助10
2秒前
uu完成签到 ,获得积分10
2秒前
2秒前
chen完成签到,获得积分10
3秒前
4秒前
4秒前
传奇3应助清爽帽子采纳,获得10
4秒前
yygg发布了新的文献求助10
4秒前
干净之槐完成签到,获得积分10
6秒前
YY完成签到,获得积分10
7秒前
猫橘汽水发布了新的文献求助30
11秒前
11秒前
马桶盖盖子完成签到 ,获得积分10
11秒前
11秒前
INSOC完成签到,获得积分10
12秒前
12秒前
13秒前
充电宝应助zhangyx采纳,获得10
14秒前
Qiu发布了新的文献求助10
15秒前
爱吃的土豆完成签到,获得积分10
15秒前
15秒前
fuiee完成签到,获得积分10
16秒前
KongLG发布了新的文献求助10
17秒前
18秒前
脑洞疼应助从笙采纳,获得10
19秒前
我是老大应助chicken采纳,获得10
19秒前
木之尹完成签到 ,获得积分10
19秒前
xuxu完成签到 ,获得积分10
22秒前
飘萍过客完成签到,获得积分10
25秒前
科研通AI6.1应助77采纳,获得10
25秒前
朱大头完成签到,获得积分10
27秒前
kitty完成签到,获得积分20
28秒前
李海发布了新的文献求助10
29秒前
29秒前
ljx发布了新的文献求助20
30秒前
充电宝应助张先生采纳,获得10
30秒前
30秒前
SciGPT应助lulu采纳,获得10
32秒前
34秒前
从笙发布了新的文献求助10
35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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Agyptische Geschichte der 21.30. Dynastie 2000
中国脑卒中防治报告 1000
Variants in Economic Theory 1000
Global Ingredients & Formulations Guide 2014, Hardcover 1000
Research for Social Workers 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5821470
求助须知:如何正确求助?哪些是违规求助? 5975057
关于积分的说明 15557617
捐赠科研通 4943030
什么是DOI,文献DOI怎么找? 2662388
邀请新用户注册赠送积分活动 1608633
关于科研通互助平台的介绍 1563541