Molecular networking in infectious disease models.

Molecular networking in infectious disease models.
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DOI:
10.1016/bs.mie.2021.09.018
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发表时间:
2022
影响因子:
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通讯作者:
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中科院分区:
生物学4区
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小分子代谢物是许多酶促反应的产物。因此,代谢组学打开了一扇了解酶活性和功能的窗口,整合了翻译后、蛋白质组、转录组和基因组水平的影响。此外,小分子本身可以通过底物可用性机制和变构调节来调节酶活性、表达和功能。因此,代谢物是传染病的关键,调节病原体的营养供应、免疫反应、趋向性以及宿主疾病的耐受性和恢复力。然而,代谢组学数据的分析很复杂,特别是在代谢物注释方面。分子网络是一种新兴的有价值的方法,可以将代谢物注释扩展到现有化合物库之外并识别感染引起的化学变化。在本章中,我们将具体讨论分子网络在传染病背景下的应用,重点关注与这些生物系统相关的考虑因素。
Small molecule metabolites are the product of many enzymatic reactions. Metabolomics thus opens a window into enzyme activity and function, integrating effects at the post-translational, proteome, transcriptome and genome level. In addition, small molecules can themselves regulate enzyme activity, expression and function both via substrate availability mechanisms and through allosteric regulation. Metabolites are therefore at the nexus of infectious diseases, regulating nutrient availability to the pathogen, immune responses, tropism, and host disease tolerance and resilience. Analysis of metabolomics data is however complex, particularly in terms of metabolite annotation. An emerging valuable approach to extend metabolite annotations beyond existing compound libraries and to identify infection-induced chemical changes is molecular networking. In this chapter, we discuss the applications of molecular networking in the context of infectious diseases specifically, with a focus on considerations relevant to these biological systems.
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