Department of Botany, P.G. College Bageshwar, Bageshwar, Uttarakhand, 263642, India.
Department of Biotechnology, Kumaun University, Bhimtal, Uttarakhand, India.
Mol Divers. 2024 Jun;28(3):1743-1763. doi: 10.1007/s11030-023-10684-w. Epub 2023 Jul 13.
Scientific research has demonstrated that Tinospora cordifolia acts as an anti-aging agent in several experimental models, generating global interest in its underlying molecular mechanisms of this activity. The aim of the study was to identify the possible phytochemical compounds of T. cordifolia that might combat age-related illness through integrating network pharmacology, molecular docking techniques, and molecular dynamics (MD) study to explore their potential mechanisms of action. To carry out this study, several databases were used, including PubChem, KNApSAcK family database, PubMed, SwissADME, Molsoft, SwissTargetPrediction, GeneCards, and OMIM database. For network development and GO enrichment analysis KEGG, ShinyGo 0.77, and the STRING database were used. For better analysis, the networks were also constructed using Cytoscape 3.9.1. The Cytoscape network analyzer tool was used for data analysis, and molecular docking was done via Vina-GPU-2.0. The best compounds and AKT1 were finally subjected to MD simulation for 100 ns. The CytoHubba plugin of Cytoscape identified ten key targets, commonly called hub genes, including AKT1, GAPDH, and TP53, and so on. GO and KEGG pathway enrichment analysis revealed the relevant biological processes, cellular components, and molecular functions involved in treating aging-related disorders. KEGG pathway analysis involved neuroactive ligand-receptor interactions, lipid and atherosclerosis, and cAMP signaling. The docking of 100 T. cordifolia compounds with AKT1 demonstrated good binding affinity, particularly for Amritoside, Sitagliptin, Berberine, and Piperine. Finally, the relative stability of four-hit phytochemicals was validated by MD simulation, which may be the most crucial compound for anti-aging activity. In conclusion, this study used network pharmacology, molecular docking, and MD simulation to identify the compounds in T. cordifolia and proposed a potential mechanism for anti-aging activity. These results suggest future directions for the prevention and treatment of age-related diseases.
科学研究表明,三叶青在几种实验模型中具有抗衰老作用,这引起了人们对其潜在分子机制的广泛关注。本研究旨在鉴定三叶青中可能具有抗年龄相关性疾病的植物化学化合物,通过整合网络药理学、分子对接技术和分子动力学(MD)研究来探索其潜在的作用机制。为了进行这项研究,使用了多个数据库,包括 PubChem、KNApSAcK 家族数据库、PubMed、SwissADME、Molsoft、SwissTargetPrediction、GeneCards 和 OMIM 数据库。为了进行网络开发和 GO 富集分析,使用了 KEGG、ShinyGo 0.77 和 STRING 数据库。为了更好地分析,还使用 Cytoscape 3.9.1 构建了网络。使用 Cytoscape 网络分析器工具进行数据分析,并通过 Vina-GPU-2.0 进行分子对接。最终,对最佳化合物和 AKT1 进行了 100ns 的 MD 模拟。Cytoscape 的 CytoHubba 插件确定了十个关键靶点,通常称为枢纽基因,包括 AKT1、GAPDH 和 TP53 等。GO 和 KEGG 通路富集分析揭示了与治疗与衰老相关的疾病相关的相关生物过程、细胞成分和分子功能。KEGG 通路分析涉及神经活性配体-受体相互作用、脂质和动脉粥样硬化以及 cAMP 信号通路。100 种三叶青化合物与 AKT1 的对接显示出良好的结合亲和力,特别是对 Amritoside、Sitagliptin、Berberine 和 Piperine。最后,通过 MD 模拟验证了四种命中植物化学物质的相对稳定性,这可能是抗老化活性的最关键化合物。总之,本研究使用网络药理学、分子对接和 MD 模拟鉴定了三叶青中的化合物,并提出了一种潜在的抗衰老活性机制。这些结果为预防和治疗与年龄相关的疾病提供了未来的方向。