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A new framework for metabolic modeling under non-balanced growth. Application to carbon metabolism of unicellular microalgae

机译:非平衡增长下的代谢建模新框架。应用于单细胞微藻碳代谢的应用

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Macroscopic and metabolic models are ubiquitous tools for bioprocess modeling and understanding. While these two modeling approaches bring answers to different objectives, a remaining challenging question is how to couple macroscopic and intracellular models to enlarge the prediction capabilities of the model while keeping a model structure with low complexity level? In this paper, we provide conceptual guidelines to address this question. We propose a new modeling framework that manages non-balanced growth condition and hence accumulation of intracellular metabolites. The first stage consists in determining metabolic sub-networks, which are assumed to satisfy balanced growth condition. Then, the remaining metabolites interconnecting the sub-networks can dynamically accumulate or be reused. The basis of our approach is illustrated for the carbon metabolic network of unicellular microalgae.
机译:宏观和代谢模型是普遍存在的生物过程建模和理解工具。虽然这两个建模方法带来了不同目标的答案,但是一个剩余的具有挑战性问题是如何将宏观和细胞内模型耦合以扩大模型的预测能力,同时保持模型结构,具有低复杂度水平?在本文中,我们提供了解这个问题的概念准则。我们提出了一种新的建模框架,管理非平衡生长条件,从而积累细胞内代谢物。第一阶段包括确定代谢子网络,假设假设满足平衡的生长条件。然后,互连的剩余代谢物可以动态累积或重复使用。说明了我们方法的基础,用于单细胞微藻碳代谢网络。

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