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
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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.

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。
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