A systems pharmacology framework for developing Ayurveda herbal formulations against COVID-19

L. Thamanna, S. Saranya, P. Chellapandi
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Abstract

Traditional Ayurvedic formulations have demonstrated therapeutic potential in alleviating COVID-19 symptoms; however, their multitarget mechanisms remain insufficiently characterized. In this study, a comprehensive systems pharmacology framework was developed to unravel the molecular mechanisms and therapeutic relevance of six Ayurvedic formulations clinically used against SARS-CoV-2. A multi-layered interactome was constructed by integrating virus–host-microbiota interactions, phytochemical constituents, and their medicinal plant origins. Bioactive compounds were filtered based on ADME parameters (oral bioavailability ≥30 %, drug-likeness ≥0.18), and their targets were predicted using STITCH, followed by molecular docking against key SARS-CoV-2 proteins (3CLpro, PLpro, and RdRp). The resulting network comprised 2315 nodes and 3859 edges, mapping 159 compounds to 1494 human targets. Functional enrichment revealed significant associations with lipid metabolism (p = 1.8 × 10⁻⁵), inflammation (p = 6.1 × 10⁻⁶), and immune regulatory pathways involving IL-10 and TBK1. Docking simulations identified 44 phytochemicals from 22 plants with strong binding affinities (ΔG = –7.5 to –9.2 kcal/mol) to viral proteins. Among them, Zingiber officinale emerged as the top-ranked herb, contributing 12 bioactive compounds, including 6-shogaol, 6-gingerol, curcumin, and rutin, which modulate both viral and host targets, such as SCARB1, COMT, and GNB1. The ADME evaluation further validated compounds such as apigenin, piperine, and ferulic acid for their high gastrointestinal absorption (>85 %) and drug-likeness, supporting the viability of oral formulations. Overall, this integrative framework highlights Z. officinale, Ocimum sanctum, Pterocarpus marsupium, and Momordica charantiaas key candidates for multicomponent COVID-19 therapy and provides a mechanistic foundation for their advancement into preclinical and clinical research.
开发抗COVID-19阿育吠陀草药配方的系统药理学框架
传统阿育吠陀配方在缓解COVID-19症状方面显示出治疗潜力;然而,它们的多靶点机制仍然不够明确。在本研究中,建立了一个全面的系统药理学框架,以揭示临床用于治疗SARS-CoV-2的六种阿育吠陀配方的分子机制和治疗相关性。通过整合病毒-宿主-微生物相互作用、植物化学成分及其药用植物来源,构建了一个多层相互作用组。根据ADME参数(口服生物利用度≥30 %,药物相似度≥0.18)筛选生物活性化合物,使用STITCH预测其靶点,然后与关键的SARS-CoV-2蛋白(3CLpro、PLpro和RdRp)进行分子对接。最终的网络包含2315个节点和3859条边,将159种化合物映射到1494个人类目标。功能富集显示与脂质代谢(p = 1.8 × 10⁻⁶)、炎症(p = 6.1 × 10⁻⁶)以及涉及IL-10和TBK1的免疫调节途径有显著关联。对接模拟鉴定出来自22种植物的44种植物化学物质与病毒蛋白具有很强的结合亲和力(ΔG = -7.5至-9.2 kcal/mol)。其中,生姜(Zingiber officinale)是排名第一的草药,含有12种生物活性化合物,包括6-姜酚、6-姜辣素、姜黄素和芦丁,它们可以调节病毒和宿主靶点,如SCARB1、COMT和GNB1。ADME评估进一步验证了芹菜素、胡椒碱和阿魏酸等化合物的高胃肠道吸收(> 85% %)和药物相似性,支持口服制剂的可行性。总体而言,这一整合框架突出了Z. officinale、Ocimum sanctum、Pterocarpus marsupium和Momordica charantia是多组分治疗COVID-19的关键候选者,并为其进入临床前和临床研究提供了机制基础。
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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