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MoVE identifies metabolic valves to switch between phenotypic states

机译:MoVE识别代谢阀以在表型状态之间切换

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摘要

Metabolism is highly regulated, allowing for robust and complex behavior. This behavior can often be achieved by controlling a small number of important metabolic reactions, or metabolic valves. Here, we present a method to identify the location of such valves: the metabolic valve enumerator (MoVE). MoVE uses a metabolic model to identify genetic intervention strategies which decouple two desired phenotypes. We apply this method to identify valves which can decouple growth and production to systematically improve the rate and yield of biochemical production processes. We apply this algorithm to the production of diverse compounds and obtained solutions for over 70% of our targets, identifying a small number of highly represented valves to achieve near maximal growth and production. MoVE offers a systematic approach to identify metabolic valves using metabolic models, providing insight into the architecture of metabolic networks and accelerating the widespread implementation of dynamic flux redirection in diverse systems.
机译:代谢受到严格监管,从而可以实现健壮和复杂的行为。这种行为通常可以通过控制少量重要的新陈代谢反应或新陈代谢瓣膜来实现。在这里,我们提出了一种识别这种瓣膜位置的方法:代谢瓣膜枚举器(MoVE)。 MoVE使用代谢模型来识别将两种所需表型解耦的遗传干预策略。我们应用此方法来确定可以使生长和生产脱钩的阀门,从而系统地提高生化生产过程的速度和产量。我们将此算法应用于多种化合物的生产,并为我们超过70%的目标获得了解决方案,从而确定了少数具有高度代表性的阀门,以实现接近最大的生长和产量。 MoVE提供了一种使用代谢模型识别代谢瓣膜的系统方法,可洞悉代谢网络的体系结构并加速动态通量重定向在各种系统中的广泛实施。

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