摘要翻译：
首先，我们简要描述了支配生物体生长的一般生长机制及其数学表示，即生长方程。利用该生长方程，计算了酿酒酵母的生长曲线，表明其与现有的实验数据是一致的。在此基础上，我们提出了一种无需复杂的化学计量计算就能确定合成生物量的新方法，并将该方法应用于酿酒酵母生物产量的评价。我们发现所得结果与代谢通量分析方法所得值非常接近。由于代谢通量分析方法需要找到产生的生物量，而产生的生物量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著地改进代谢通量分析方法，我们也讨论了这一点。此外，根据一般的生长机制，我们考虑了酿酒酵母的进化发展，发现酿酒酵母是一种比粟酒酵母更古老的生物，显然是它的直接前身。
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英文标题：
《Predicting growth and finding biomass production using the general
  growth mechanism》
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作者：
Yuri K. Shestopaloff
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最新提交年份：
2013
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  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 growth curve for S. cerevisiae and show that it corresponds to available experimental data. Then, we propose a new method for finding amount of synthesized biomass without complicated stoichiometric computations and apply this method to evaluation of biomass production by S. cerevisiae. We found 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 found that it is a more ancient organism than S. pombe and is apparently its direct predecessor.
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PDF链接：
https://arxiv.org/pdf/1302.3997