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Metabolite-centric approaches for the discovery of antibacterials using genome-scale metabolic networks.

机译：使用基因组代谢网络发现抗菌的代谢物为中心的方法。

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摘要

Development of genome-scale metabolic models and various constraints-based flux analyses have enabled more sophisticated examination of metabolism. Recently reported metabolite essentiality studies are also based on the constraints-based modeling, but approaches metabolism from a metabolite-centric perspective, providing synthetic lethal combination of reactions and clues for the rational discovery of antibacterials. In this study, metabolite essentiality analysis was applied to the genome-scale metabolic models of four microorganisms: Escherichia coli, Helicobacter pylori, Mycobacterium tuberculosis and Staphylococcus aureus. Furthermore, chokepoints, metabolites surrounded by enzymes that uniquely consume and/or produce them, were also calculated based on the network properties of the above organisms. A systematic drug targeting strategy was developed by combining information from these two methods. Final drug target metabolites are presented and examined with knowledge from the literature.
机译：基因组代谢模型的发展和各种基于约束的助焊剂分析使得对新陈代谢进行更复杂的检查。最近报道的代谢物质研究还基于基于约束的建模，但从代谢物为中心的角度接近代谢，提供合成的致死反应组合和有理性发现抗菌的线索。在该研究中，将代谢物质分析应用于四种微生物的基因组级代谢模型：大肠杆菌，幽门螺杆菌，结核病和金黄色葡萄球菌。此外，通过唯一地消耗和/或产生它们的酶包围的螯合剂，也基于上述生物的网络性质计算。通过将信息与这两种方法组合来开发系统的药物靶向策略。提出了最终药物靶标代谢物，并以文献知识呈现和检查。

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  • 来源
    《Metabolic engineering》 |2010年第2期|共7页
  • 作者

    Kim TY; Kim HU; Lee SY;

  • 作者单位

    Metabolic and Biomolecular Engineering National Research Laboratory Department of Chemical and;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 蛋白质;
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