Molecular docking and network pharmacology study on active compounds of Cyprus rotundus for the treatment of diabetes mellitus.

In silico pharmacology Pub Date : 2024-11-02 eCollection Date: 2024-01-01 DOI:10.1007/s40203-024-00273-6
Vishakha Desai, Mohammad Ziyad Shaikhsurab, Nimmy Varghese, Harsha Ashtekar
{"title":"Molecular docking and network pharmacology study on active compounds of <i>Cyprus rotundus</i> for the treatment of diabetes mellitus.","authors":"Vishakha Desai, Mohammad Ziyad Shaikhsurab, Nimmy Varghese, Harsha Ashtekar","doi":"10.1007/s40203-024-00273-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Diabetes Mellitus (DM) is a complex metabolic disorder with increasing global prevalence, necessitating the exploration of novel therapeutic strategies. <i>Cyprus rotundus</i>, a medicinal plant with a long history of traditional use, has shown promising potential in managing DM.</p><p><strong>Aim of the study: </strong>This study aims to elucidate the mechanism of action of active components of <i>C. rotundus</i> in managing DM using a combination of network pharmacology and molecular docking approaches.</p><p><strong>Materials and methods: </strong>The active compounds of <i>C. rotundus</i> were identified through IMPPAT and CHEBI database mining. Subsequently, compound-target are taken from swiss target prediction and SEA. Collection of DM-related targets is done through DisGeNET and TTD database. After identifying both the targets, common targets were evaluated through venny 2.1.0. by constructing venn diagram. To elucidate the potential targets of these compounds, a protein-protein interaction network was constructed by utilizing STRING database. Through network analysis, we identified key targets and pathways involved in the pathogenesis of DM and targeted by the active components of <i>C. rotundus</i>. Furthermore, molecular docking was performed to explore the binding affinity and interactions between the active compounds and their target proteins.</p><p><strong>Results: </strong>This, reveal that the 12 active components of <i>C. rotundus</i> exert their therapeutic effects on DM through multiple mechanisms, there are 141 common target genes between <i>C. rotundus</i> and DM. Enrichment of the KEGG pathway mainly involves in the AGE-RAGE signaling pathway in diabetic complications, Type II DM pathway. Top 10 genes were regulated by <i>C. rotundus</i> in DM, including MMP9, PTGS2, CASP3, CD4, EGFR, STAT3, PPARG, AKT1, NFKB1 and MAPK3. Molecular docking analysis further validates the strong binding affinity between the active compounds and their target proteins, providing insights into their mode of action at the molecular level.</p><p><strong>Conclusions: </strong>This study provides a systematic understanding of the mechanism of action of <i>C. rotundus</i> in managing DM, offering a basis for further experimental validation and drug development.</p>","PeriodicalId":94038,"journal":{"name":"In silico pharmacology","volume":"12 2","pages":"98"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531456/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"In silico pharmacology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40203-024-00273-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Diabetes Mellitus (DM) is a complex metabolic disorder with increasing global prevalence, necessitating the exploration of novel therapeutic strategies. Cyprus rotundus, a medicinal plant with a long history of traditional use, has shown promising potential in managing DM.

Aim of the study: This study aims to elucidate the mechanism of action of active components of C. rotundus in managing DM using a combination of network pharmacology and molecular docking approaches.

Materials and methods: The active compounds of C. rotundus were identified through IMPPAT and CHEBI database mining. Subsequently, compound-target are taken from swiss target prediction and SEA. Collection of DM-related targets is done through DisGeNET and TTD database. After identifying both the targets, common targets were evaluated through venny 2.1.0. by constructing venn diagram. To elucidate the potential targets of these compounds, a protein-protein interaction network was constructed by utilizing STRING database. Through network analysis, we identified key targets and pathways involved in the pathogenesis of DM and targeted by the active components of C. rotundus. Furthermore, molecular docking was performed to explore the binding affinity and interactions between the active compounds and their target proteins.

Results: This, reveal that the 12 active components of C. rotundus exert their therapeutic effects on DM through multiple mechanisms, there are 141 common target genes between C. rotundus and DM. Enrichment of the KEGG pathway mainly involves in the AGE-RAGE signaling pathway in diabetic complications, Type II DM pathway. Top 10 genes were regulated by C. rotundus in DM, including MMP9, PTGS2, CASP3, CD4, EGFR, STAT3, PPARG, AKT1, NFKB1 and MAPK3. Molecular docking analysis further validates the strong binding affinity between the active compounds and their target proteins, providing insights into their mode of action at the molecular level.

Conclusions: This study provides a systematic understanding of the mechanism of action of C. rotundus in managing DM, offering a basis for further experimental validation and drug development.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
治疗糖尿病的塞浦路斯腐草活性化合物的分子对接和网络药理学研究。
背景:糖尿病(DM)是一种复杂的代谢性疾病,在全球的发病率越来越高,因此有必要探索新的治疗策略。有着悠久传统使用历史的药用植物塞浦路斯萝芙木在治疗糖尿病方面显示出了巨大的潜力:研究目的:本研究旨在结合网络药理学和分子对接方法,阐明旋覆花活性成分在治疗 DM 方面的作用机制:通过 IMPPAT 和 CHEBI 数据库挖掘,确定了腐竹的活性化合物。随后,从瑞士靶标预测和 SEA 中提取化合物-靶标。通过 DisGeNET 和 TTD 数据库收集 DM 相关靶标。在确定这两个靶点后,通过构建维恩图,利用 venny 2.1.0 对共同靶点进行评估。为了阐明这些化合物的潜在靶点,我们利用 STRING 数据库构建了蛋白质-蛋白质相互作用网络。通过网络分析,我们确定了涉及 DM 发病机制的关键靶点和通路,以及腐竹活性成分的靶点。此外,还进行了分子对接,以探索活性化合物与其靶蛋白之间的结合亲和力和相互作用:结果表明:腐竹的12种活性成分通过多种机制对DM产生治疗作用,腐竹与DM之间存在141个共同的靶基因。KEGG通路的富集主要涉及糖尿病并发症、II型DM通路中的AGE-RAGE信号通路。被轮叶草调控的前 10 个基因包括 MMP9、PTGS2、CASP3、CD4、EGFR、STAT3、PPARG、AKT1、NFKB1 和 MAPK3。分子对接分析进一步验证了活性化合物与其靶蛋白之间的强结合亲和力,为了解其分子水平的作用模式提供了依据:本研究系统地了解了腐竹治疗 DM 的作用机制,为进一步的实验验证和药物开发奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Investigating the antibacterial potential of thiophene derivatives against wound infections: a combined DFT, molecular docking, and ADMET study targeting Staphylococcus aureus, Pseudomonas aeruginosa, and Escherichia coli resistant genes. Bioactive compounds from fermented Vernonia amygdalina leaf: Potent antibiotics against multidrug-resistant Escherichia coli and Salmonella typhi. In-silico study of novel dimeric flavonoid (OC251FR2) isolated from the seeds of Garcinia kola Heckel (Clusiaceae) against alpha estrogen receptor (ER-α) of breast cancer. Phytotherapeutic potential of Campomanesia xanthocarpa (Mart.) O. Berg: antitumor effects in vitro and in silico, with emphasis on SK-MEL-28 melanoma cells-a study on leaf and fruit infusions. QSAR, molecular docking, MD simulations, and ADMET screening identify potential Heliotropium indicum leads against key targets in benign prostatic hyperplasia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1