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TMNP:基于转录组的草药多尺度网络药理学平台。

TMNP: a transcriptome-based multi-scale network pharmacology platform for herbal medicine.

机构信息

College of Basic Sciences, Shanxi Agricultural University, Taigu 030801, China.

School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China.

出版信息

Brief Bioinform. 2022 Jan 17;23(1). doi: 10.1093/bib/bbab542.

Abstract

One of the most difficult problems that hinder the development and application of herbal medicine is how to illuminate the global effects of herbs on the human body. Currently, the chemo-centric network pharmacology methodology regards herbs as a mixture of chemical ingredients and constructs the 'herb-compound-target-disease' connections based on bioinformatics methods, to explore the pharmacological effects of herbal medicine. However, this approach is severely affected by the complexity of the herbal composition. Alternatively, gene-expression profiles induced by herbal treatment reflect the overall biological effects of herbs and are suitable for studying the global effects of herbal medicine. Here, we develop an online transcriptome-based multi-scale network pharmacology platform (TMNP) for exploring the global effects of herbal medicine. Firstly, we build specific functional gene signatures for different biological scales from molecular to higher tissue levels. Then, specific algorithms are designed to measure the correlations of transcriptional profiles and types of gene signatures. Finally, TMNP uses pharmacotranscriptomics of herbal medicine as input and builds associations between herbs and different biological scales to explore the multi-scale effects of herb medicine. We applied TMNP to a single herb Astragalus membranaceus and Xuesaitong injection to demonstrate the power to reveal the multi-scale effects of herbal medicine. TMNP integrating herbal medicine and multiple biological scales into the same framework, will greatly extend the conventional network pharmacology model centering on the chemical components, and provide a window for systematically observing the complex interactions between herbal medicine and the human body. TMNP is available at http://www.bcxnfz.top/TMNP.

摘要

阻碍草药发展和应用的最困难问题之一是如何阐明草药对人体的全球影响。目前,以化学为中心的网络药理学方法将草药视为化学成分的混合物,并基于生物信息学方法构建“草药-化合物-靶标-疾病”的联系,以探索草药的药理学作用。然而,这种方法受到草药成分复杂性的严重影响。另一方面,草药治疗引起的基因表达谱反映了草药的整体生物学效应,适合研究草药的全球效应。在这里,我们开发了一个基于转录组的在线多尺度网络药理学平台(TMNP)来探索草药的全球效应。首先,我们从分子到更高组织水平为不同的生物尺度构建特定的功能基因特征。然后,设计特定的算法来测量转录谱和基因特征类型的相关性。最后,TMNP 将草药的药代动力学转录组学作为输入,并在草药和不同生物尺度之间建立关联,以探索草药的多尺度效应。我们将 TMNP 应用于单味草药黄芪和血塞通注射液,以证明揭示草药多尺度效应的能力。TMNP 将草药和多个生物尺度整合到同一个框架中,将极大地扩展以化学成分为中心的传统网络药理学模型,并为系统观察草药与人体之间的复杂相互作用提供一个窗口。TMNP 可在 http://www.bcxnfz.top/TMNP 上获得。

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