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关于针对癫痫的阿育吠陀草药中的多靶点和协同神经调节剂的见解:药物靶点和蛋白质 - 蛋白质相互作用网络的综合计算研究。

Insights about multi-targeting and synergistic neuromodulators in Ayurvedic herbs against epilepsy: integrated computational studies on drug-target and protein-protein interaction networks.

机构信息

Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central University of Himachal Pradesh, Dharamshala, 176206, India.

出版信息

Sci Rep. 2019 Jul 22;9(1):10565. doi: 10.1038/s41598-019-46715-6.

Abstract

Epilepsy, that comprises a wide spectrum of neuronal disorders and accounts for about one percent of global disease burden affecting people of all age groups, is recognised as apasmara in the traditional medicinal system of Indian antiquity commonly known as Ayurveda. Towards exploring the molecular level complex regulatory mechanisms of 63 anti-epileptic Ayurvedic herbs and thoroughly examining the multi-targeting and synergistic potential of 349 drug-like phytochemicals (DPCs) found therein, in this study, we develop an integrated computational framework comprising of network pharmacology and molecular docking studies. Neuromodulatory prospects of anti-epileptic herbs are probed and, as a special case study, DPCs that can regulate metabotropic glutamate receptors (mGluRs) are inspected. A novel methodology to screen and systematically analyse the DPCs having similar neuromodulatory potential vis-à-vis DrugBank compounds (NeuMoDs) is developed and 11 NeuMoDs are reported. A repertoire of 74 DPCs having poly-pharmacological similarity with anti-epileptic DrugBank compounds and those under clinical trials is also reported. Further, high-confidence PPI-network specific to epileptic protein-targets is developed and the potential of DPCs to regulate its functional modules is investigated. We believe that the presented schema can open-up exhaustive explorations of indigenous herbs towards meticulous identification of clinically relevant DPCs against various diseases and disorders.

摘要

癫痫是一种广泛的神经元疾病,占全球疾病负担的约 1%,影响所有年龄段的人群,在印度古代传统医学体系阿育吠陀中被称为癫痫。为了探索 63 种抗癫痫阿育吠陀草药的分子水平复杂调控机制,并深入研究其中 349 种类药性植物化学物质(DPC)的多靶点和协同潜力,本研究开发了一个包含网络药理学和分子对接研究的综合计算框架。本文探讨了抗癫痫草药的神经调节前景,并作为特殊案例研究,检查了可以调节代谢型谷氨酸受体(mGluRs)的 DPC。本文开发了一种新的方法来筛选和系统分析具有类似神经调节潜力的 DPC,与 DrugBank 化合物(NeuMoDs)相比,并报告了 11 种 NeuMoD。本文还报告了具有与抗癫痫 DrugBank 化合物和临床试验中化合物多药理学相似性的 74 种 DPC,以及具有与癫痫蛋白靶标多药理学相似性的 DPC。此外,还开发了特定于癫痫蛋白靶标的高可信度 PPI 网络,并研究了 DPC 调节其功能模块的潜力。我们相信,所提出的方案可以为深入探索本土草药提供依据,以细致地鉴定针对各种疾病和失调的临床相关 DPC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/6646331/2c1d94d726e9/41598_2019_46715_Fig1_HTML.jpg

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