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天冬氨酸-β-半醛脱氢酶作为结核分枝杆菌 H37Rv 的潜在治疗靶点:来自生物网络模型的基本模式分析的证据。

Aspartate-β-semialdeyhyde dehydrogenase as a potential therapeutic target of Mycobacterium tuberculosis H37Rv: Evidence from in silico elementary mode analysis of biological network model.

机构信息

Department of Clinical Nutrition, College of Applied Medical Sciences, University of Ha'il, Ha'il, Saudi Arabia.

Department of Biotechnology, TERI University, New Delhi, India.

出版信息

J Cell Biochem. 2018 Mar;119(3):2832-2842. doi: 10.1002/jcb.26458. Epub 2017 Nov 24.

Abstract

The emergence of multi-drug resistant strains and co-occurrence of tuberculosis with HIV creates a major burden to the human health globally. Failure of primary antibacterial therapy necessitates the identification of new mycobacterial drugs. In this study, a comprehensive analysis involving bottom-up systems biology approach was applied wherein we have identified potential therapeutic targets of Mycobacterium tuberculosis infections. Our study prioritized M. tuberculosis therapeutic targets (aspartate-β-semialdeyhde dehydrogenase [ASD], dihydrodipicolinate reductase and diaminopimelate decarboxylase) based on flux and elementary mode analysis using direct mathematical modeling of the relevant metabolic pathways. Molecular docking and simulation studies of the priority target (ie, ASD) revealed the therapeutic potential of the selected natural products (Huperzine A, Rosmarinic acid, and Curcumin) based ASD inhibitors. The study highlights the crucial role of systems biology in conjunction with molecular interaction (docking) for probing novel leads against an increasingly resistant pathogen, M. tuberculousis.

摘要

多药耐药菌株的出现以及结核病与 HIV 的共存给全球人类健康带来了重大负担。初级抗菌治疗的失败需要确定新的分枝杆菌药物。在这项研究中,我们应用了一种全面的基于系统生物学的自下而上的方法,其中我们已经确定了结核分枝杆菌感染的潜在治疗靶点。我们的研究基于通量和基本模式分析,使用相关代谢途径的直接数学建模,对结核分枝杆菌治疗靶点(天冬氨酸-β-亚氨基半醛脱氢酶[ASD]、二氢二吡啶羧酸还原酶和二氨基庚二酸脱羧酶)进行了优先级排序。对优先级目标(即 ASD)的分子对接和模拟研究揭示了所选天然产物(石杉碱甲、迷迭香酸和姜黄素)作为 ASD 抑制剂的治疗潜力。该研究强调了系统生物学与分子相互作用(对接)在探测针对日益耐药病原体结核分枝杆菌的新型先导化合物方面的关键作用。

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