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网络药理学和分子建模研究 治疗肾结石的分子机制预测。

Network pharmacology and molecular modelling study of for the prediction of the molecular mechanisms involved in the amelioration of nephrolithiasis.

机构信息

Department of Pharmacology, Dr. B. C. Roy College of Pharmacy and Allied Health Sciences, Durgapur, West Bengal, India.

Department of Pharmacology, Nitte Gulabi Shetty Memorial Institute of Pharmaceutical Sciences (NGSMIPS), NITTE University, Mangalore, India.

出版信息

J Biomol Struct Dyn. 2023;41(24):15400-15410. doi: 10.1080/07391102.2023.2189476. Epub 2023 Mar 13.

Abstract

In view of the ethno medicinal use of for the treatment of kidney stones; the present study aimed to elucidate the molecular mechanisms involved in the amelioration of nephrolithiasis through a network pharmacology approach. The phytoconstituents were queried in DIGEP-Pred to identify the regulated proteins. The modulated proteins were then enriched in the STRING to predict the protein-protein interactions and the probably regulated pathways were traced in the Kyoto Encyclopedia of Genes and Genomes. Further, the network was constructed using Cytoscape 3.5.1. Results showed that β-carotene was found to be regulating maximum targets i.e. 26. In addition, 63 proteins were triggered by the components in which the vitamin D receptor was targeted by the maximum phytoconstituents i.e. 16. The enrichment analysis identified the regulation of 67 pathways in which fluid shear stress and atherosclerosis-associated pathways (KEGG entry ) regulated ten genes. Further, protein kinase C-α was traced in 23 different pathways. In addition, the majority of the regulated genes were identified from the extracellular space the modulation of 43 genes. Also, nuclear receptor activity had the maximum molecular function the regulation of 7 genes. Likewise, the response to organic substance was predicted to trigger the top genes i.e. 43. In contrast, Stigmasterol, Baicalein-7-o-glucoside, and Kauran-16-ol were found to have a high affinity to bind with the VDR receptor confirmed by the molecular modelling and the dynamics. Hence, the study elucidated the probable molecular mechanisms of in managing nephrolithiasis and identified the lead molecules, their targets, and possible pathways.Communicated by Ramaswamy H. Sarma.

摘要

鉴于 被用于治疗肾结石的民族医学用途;本研究旨在通过网络药理学方法阐明其改善肾结石的分子机制。在 DIGEP-Pred 中查询植物化学成分,以确定调节蛋白。然后将调节蛋白富集到 STRING 中,以预测蛋白质-蛋白质相互作用,并在京都基因与基因组百科全书中追踪可能调节的途径。此外,使用 Cytoscape 3.5.1 构建网络。结果表明,β-胡萝卜素被发现调节最大的靶标,即 26 个。此外,有 63 种蛋白质被成分触发,其中维生素 D 受体是最大植物成分即 16 种的靶标。富集分析确定了 67 条途径的调节,其中流体剪切应激和动脉粥样硬化相关途径(KEGG 条目)调节了 10 个基因。此外,蛋白激酶 C-α在 23 条不同的途径中被追踪。此外,大多数调节基因是从细胞外空间识别的,调节了 43 个基因。此外,核受体活性具有最大的分子功能,调节了 7 个基因。同样,预测有机物质的反应将触发前 43 个基因。相反,豆甾醇、黄芩素-7-O-葡萄糖苷和贝壳杉-16-醇被发现与 VDR 受体具有高亲和力,这通过分子建模和动力学得到了证实。因此,该研究阐明了 治疗肾结石的可能分子机制,并确定了先导分子、它们的靶标和可能的途径。由 Ramaswamy H. Sarma 传达。

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