Network Pharmacological Evaluation of Glycyrrhiza glabra for its Activity against Neuropathic Pain

神经病理性疼痛 小桶 可药性 医学 药理学 机制(生物学) 生物信息学 神经科学 生物 基因 基因本体论 基因表达 生物化学 认识论 哲学
作者
Tanmayee Joshi,Pratima Tatke
出处
期刊:Indian Journal of Pharmaceutical Sciences [Medknow]
卷期号:84 (6)
标识
DOI:10.36468/pharmaceutical-sciences.1038
摘要

Glycyrrhiza glabra (licorice), is used for therapeutic purposes since ages. Neuropathic pain is a disease with complex pathophysiology, involving dysfunction in multiple ion channel receptors such as sodium, transient receptor potential channels, neurotransmitters, inflammatory mediators and reactive oxygen species. Network pharmacology is newly emerging approach dealing with understanding mechanism of actions of druggable molecules with the multiple targets. This approach is suitable to deal with Ayush based medicines such as extracts containing many bioactives, acting on multiple targets. The aim of the present study is to construct a network of licorice to predict its actions against neuropathic pain. Various knowledge databases were used for collecting information regarding bioactives, their targets and genes associated with these targets or pathophysiology of neuropathic pain. These databases include drusenoid pigment epithelial detachment, PubMed, Google scholar, PubChem, Binding Database, Kyoto encyclopedia of genes and genomes, DisGeNET and therapeutic target database. The network was constructed using Cytoscape3.7.2. 19 bioactive were shortlisted by extensive search having targets on humans and rats using Binding Database. These targets were searched on Kyoto encyclopedia of genes and genomes, DisGeNET for their association with neuropathic pain. Targets were shown to be part of pathways of neuropathic pain, helping to predict mechanism of action of bioactive. Hence, this approach can prove helpful in modern pharmacological research.
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
穆夏发布了新的文献求助10
刚刚
panpanou完成签到 ,获得积分10
刚刚
科研通AI6.2的应助被虚幻雨采纳,获得10
1秒前
脑洞疼的应助被傲娇的又晴采纳,获得10
1秒前
四季平安发布了新的文献求助10
2秒前
2秒前
4秒前
科研通AI6.4的应助被regenthk2010采纳,获得10
4秒前
haoran完成签到,获得积分10
4秒前
叶凡完成签到,获得积分10
4秒前
跳跃的滑板完成签到,获得积分10
4秒前
飘萍过客完成签到,获得积分10
4秒前
你好发布了新的文献求助10
5秒前
时鹏飞发布了新的文献求助10
6秒前
lll发布了新的文献求助10
6秒前
6秒前
ucas的应助被arniu2008采纳,获得10
7秒前
7秒前
8秒前
anan完成签到,获得积分10
9秒前
长生发布了新的文献求助10
9秒前
9秒前
大大卷发布了新的文献求助10
11秒前
吉鞅完成签到,获得积分10
11秒前
嚭嚭完成签到,获得积分10
11秒前
ucas的应助被arniu2008采纳,获得10
12秒前
老的火龙果的应助被sweet采纳,获得10
12秒前
taeyeon发布了新的文献求助10
12秒前
13秒前
14秒前
阿刁完成签到,获得积分10
14秒前
自然发布了新的文献求助10
14秒前
陈里里的应助被Yiwaa采纳,获得10
15秒前
15秒前
15秒前
科研通AI6.2的应助被长生采纳,获得10
17秒前
魏东东发布了新的文献求助10
18秒前
研友_VZG7GZ的应助被四季平安采纳,获得10
19秒前
李周发布了新的文献求助30
19秒前
20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
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783638
求助须知:如何正确求助?哪些是违规求助? 9322927
关于积分的说明 20392349
捐赠科研通 7372274
什么是DOI,文献DOI怎么找? 3320727
关于科研通互助平台的介绍 2468728
邀请新用户注册赠送积分活动 2336951