Network pharmacology-based findings of the immunomodulatory activity of phytocompounds from Withania somnifera and Aloe barbadensis

Funmilayo I. D. Afolayan, Deborah G. Joseph, Ridwan A. Salaam
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Abstract

Immunomodulation constitutes a crucial part of individual organisms’ defense systems. Moreover, the utilization of plant-based natural products as herbal medicine for immunomodulation has garnered significant interest. Herein, we examined the immunomodulatory potentials of active phytocompounds extracted from Withania somnifera and Aloe barbadensis by employing ADMET screening, network pharmacology, and molecular docking techniques. This study follows the paradigm in drug discovery, which has shifted from a “one-target, one-drug” mode to a “network-target, multiple-component-therapeutics” mode. Phyto compounds sourced from W. somnifera and A. barbadensis were mined from online databases, including Dr. Duke’s Phytochemical Ethnobotanical Database. After screening these active compounds, their potential targets were predicted through in silico ADMET property prediction models. Network pharmacology was utilized to establish a “compound-protein/gene-disease” network and reveal the regulatory mechanism of small molecules in a high-throughput manner through STRING, Cytohubba plugin in Cytoscape, and the g: Profiler software. A molecular docking simulation was performed to examine the binding affinity between the selected hub targets and bioactives. The findings showed that phytocompounds derived from the W. somnifera and A. barbadensis exhibit immunomodulatory effects by inhibiting specific protein targets, notably AKT1, HCK, JAK2, PDPK1, KIT, and IL2. Molecular docking analysis further revealed the potential of withanolide G, somniferine, and somniferanolide as promising immunomodulatory compounds against HCK, JAK2, and PDPK1 proteins, which are involved in multiple myeloma pathways, encompassing the PI3K-Akt signaling pathway, NOD-like receptor signaling pathway, and Toll-like receptor signaling pathway. In conclusion, these compounds are recommended for further in vivo and in vitro investigations to ascertain their potential as treatments for multiple myeloma.
基于网络药理学的苦参和芦荟植物化合物免疫调节活性研究
免疫调节是个体生物体生存的重要组成部分。防御系统。此外,利用基于植物的天然产物作为免疫调节的草药已经引起了极大的兴趣。本文采用ADMET筛选、网络药理学和分子对接技术,研究了从Withania somnifera和Aloe barbadensis中提取的活性植物化合物的免疫调节潜力。本研究遵循药物发现的范式,即从“一个靶点,一种药物”转变为“一个靶点,一种药物”。网络-靶点-多组分治疗模式模式。来自W. somnifera和A. barbadensis的植物化合物是从在线数据库中挖掘的,包括Dr. duke&rsquo的植物化学民族植物学数据库。筛选这些活性化合物后,通过ADMET性质预测模型预测其潜在靶点。利用网络药理学建立了“化合物-蛋白/基因-疾病”模型。通过STRING、Cytoscape中的Cytohubba插件和g: Profiler软件,以高通量的方式揭示小分子的调控机制。进行了分子对接模拟,以检查所选枢纽靶点与生物活性物之间的结合亲和力。研究结果表明,从索尼玛和巴贝达中提取的植物化合物通过抑制特定蛋白靶点,特别是AKT1、HCK、JAK2、PDPK1、KIT和IL2,表现出免疫调节作用。分子对接分析进一步揭示了withanolide G、somniferine和somniferanolide作为抗HCK、JAK2和PDPK1蛋白的有前景的免疫调节化合物的潜力,这些蛋白参与多发性骨髓瘤通路,包括PI3K-Akt信号通路、nod样受体信号通路和toll样受体信号通路。总之,建议对这些化合物进行进一步的体内和体外研究,以确定其治疗多发性骨髓瘤的潜力。
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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