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Combining graph and flux-based structures to decipher phenotypic essential metabolites within metabolic networks

机译:结合图和基于通量的结构来解读代谢网络中的表型必需代谢物

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摘要

BackgroundThe emergence of functions in biological systems is a long-standing issue that can now be addressed at the cell level with the emergence of high throughput technologies for genome sequencing and phenotyping. The reconstruction of complete metabolic networks for various organisms is a key outcome of the analysis of these data, giving access to a global view of cell functioning. The analysis of metabolic networks may be carried out by simply considering the architecture of the reaction network or by taking into account the stoichiometry of reactions. In both approaches, this analysis is generally centered on the outcome of the network and considers all metabolic compounds to be equivalent in this respect. As in the case of genes and reactions, about which the concept of essentiality has been developed, it seems, however, that some metabolites play crucial roles in system responses, due to the cell structure or the internal wiring of the metabolic network.
机译:背景技术生物系统中功能的出现是一个长期存在的问题,现在可以通过用于基因组测序和表型的高通量技术的出现在细胞水平上解决。为各种生物重建完整的代谢网络是对这些数据进行分析的关键成果,从而可以全面了解细胞功能。可以通过简单地考虑反应网络的结构或通过考虑反应的化学计量来进行代谢网络的分析。在这两种方法中,该分析通常集中在网络的结果上,并认为所有代谢化合物在这方面都是等效的。就像在基因和反应的情况下,已经开发出必需性的概念一样,由于细胞结构或代谢网络的内部连接,似乎某些代谢物在系统反应中起着至关重要的作用。

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