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Predicting growth and finding biomass production using the general growth mechanism

机译:使用一般增长机制预测增长并找到生物量生产

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First, we briefly describe the general growth mechanism, which governs the growth of living organisms, and its mathematical representation, the growth equation. Using the growth equation, we compute the growth curve for S. cerevisiae and show that it corresponds to available experimental data. Then, we propose a new method for finding the amount of synthesized biomass without complicated stoichiometric computations and apply this method to evaluation of biomass production by S. cerevisiae. We find that obtained results are very close to values obtained by methods of metabolic flux analysis. Since methods of metabolic flux analysis require finding produced biomass, which is one of the most important parameters affecting stoichiometric models, a priori knowledge of produced biomass can significantly improve methods of metabolic flux analysis in many aspects, which we also discuss. Besides, based on the general growth mechanism, we considered evolutionary development of S. cerevisiae and find that it is a more ancient organism than S. pombe and is apparently its direct predecessor.
机译:首先,我们简要描述控制生命有机体生长的一般生长机制及其数学表示形式,生长方程。使用生长方程,我们计算了酿酒酵母的生长曲线,并表明它与可用的实验数据相对应。然后,我们提出了一种无需复杂的化学计量计算即可发现合成生物量的新方法,并将该方法应用于啤酒酵母对生物量生产的评估。我们发现获得的结果非常接近通过代谢通量分析方法获得的值。由于代谢通量分析方法需要找到产生的生物量,这是影响化学计量模型的最重要参数之一,因此,对产生的生物量的先验知识可以在许多方面显着改善代谢通量分析的方法,我们还将对此进行讨论。此外,基于一般的生长机理,我们考虑了酿酒酵母的进化发育,发现它是比粟酒裂殖酵母更古老的生物,并且显然是它的直接前身。

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