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宿主-病原体代谢整合重建

Integrated Host-Pathogen Metabolic Reconstructions.

作者信息

Raghunathan Anu, Jamshidi Neema

机构信息

Chemical Engineering Division, National Chemical Laboratory, Pune, India.

Institute of Engineering in Medicine, University of California-San Diego, La Jolla, CA, USA.

出版信息

Methods Mol Biol. 2018;1716:197-217. doi: 10.1007/978-1-4939-7528-0_9.

Abstract

The science and art of Genome scale metabolic network reconstructions have been explicitly documented in the literature for organisms across all the three kingdoms of life. Constraints-based models derived from such reconstructions have been used to assess metabolic phenotypes of their complex connections to genotype accurately. The problem of infectious disease is complex due to the multifactorial response of the host to the pathogen. Systems biology approaches and modeling allow one to study, understand, and predict emergent properties of such complex responses. The integration of the host and pathogen metabolic networks and the subsequent merger of their stoichiometric matrices is nontrivial and requires understanding of both pathogen and host metabolism and physiologies. The protocol here describes the detailed process of network and stoichiometric matrix merger using a salmonella-mouse macrophage model. The protocol also discusses the interfacial and objective functions required to actually embark on the analysis of host-pathogen interaction models.

摘要

基因组规模代谢网络重建的科学与艺术在文献中已有明确记载,涵盖了生命三界中的所有生物。基于此类重建衍生出的基于约束的模型,已被用于准确评估其与基因型复杂关联的代谢表型。由于宿主对病原体的多因素反应,传染病问题较为复杂。系统生物学方法和建模使人们能够研究、理解并预测此类复杂反应的涌现特性。宿主和病原体代谢网络的整合以及随后其化学计量矩阵的合并并非易事,需要了解病原体和宿主的代谢及生理学。此处的方案描述了使用沙门氏菌 - 小鼠巨噬细胞模型进行网络和化学计量矩阵合并的详细过程。该方案还讨论了实际开展宿主 - 病原体相互作用模型分析所需的界面函数和目标函数。

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