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首页> 外文期刊>Metabolic engineering >Metabolite-centric approaches for the discovery of antibacterials using genome-scale metabolic networks.
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Metabolite-centric approaches for the discovery of antibacterials using genome-scale metabolic networks.

机译:使用以基因组规模的代谢网络发现以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:基因组规模的代谢模型和各种基于约束的通量分析的发展已使对代谢的更复杂的检查成为可能。最近报道的代谢物必要性研究也基于基于约束的模型,但从以代谢物为中心的角度进行代谢,为合理发现抗菌剂提供了反应和线索的合成致命组合。在这项研究中,代谢物必需性分析应用于四种微生物的基因组规模代谢模型:大肠杆菌,幽门螺杆菌,结核分枝杆菌和金黄色葡萄球菌。此外,还基于上述生物体的网络特性计算了扼流点,被独特地消耗和/或产生它们的酶所包围的代谢产物。通过结合这两种方法的信息,开发了系统的药物靶向策略。提出最终药物靶代谢物并利用文献知识进行检查。

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