Quantifying epistatic interactions among the components constituting the protein translation system.
Quantifying epistatic interactions among the components constituting the protein translation system.
复制标题
量化构成蛋白质翻译系统的成分之间的同义相互作用。
DOI：
10.1038/msb.2009.50
复制
发表时间：
2009
影响因子：
9.9
通讯作者：
Yomo, Tetsuya
中科院分区：
文献类型：
--
作者：
Matsuura, Tomoaki;Kazuta, Yasuaki;Aita, Takuyo;Adachi, Jiro;Yomo, Tetsuya
关键词：
原则上，生物系统的分子基础知识的积累，应允许其功能的大规模动力学模型的发展。然而，这种模式的发展需要大量的参数，这是很难在实践中获得。在这里，我们使用了一个体外翻译系统，由69个定义的组件，通过Bahadur扩展组件浓度的变化之间的上位相互作用进行量化，从而获得一个粗粒度的蛋白质合成活性的模型。使用各种组合的组分浓度测量的数据的分析表明，大于2体的组件间上位相互作用的贡献是可以忽略不计的，尽管存在大于2体的物理相互作用。这些发现允许从少量样品中预测组分浓度的各种组合下的蛋白质合成活性，其原理适用于其他生物系统的分析和优化。此外，2-与1-体项的平均比率估计为小至0.1，这意味着蛋白质翻译系统的高适应性和可进化性。
In principle, the accumulation of knowledge regarding the molecular basis of biological systems should allow the development of large-scale kinetic models of their functions. However, the development of such models requires vast numbers of parameters, which are difficult to obtain in practice. Here, we used an in vitro translation system, consisting of 69 defined components, to quantify the epistatic interactions among changes in component concentrations through Bahadur expansion, thereby obtaining a coarse-grained model of protein synthesis activity. Analyses of the data measured using various combinations of component concentrations indicated that the contributions of larger than 2-body inter-component epistatic interactions are negligible, despite the presence of larger than 2-body physical interactions. These findings allowed the prediction of protein synthesis activity at various combinations of component concentrations from a small number of samples, the principle of which is applicable to analysis and optimization of other biological systems. Moreover, the average ratio of 2- to 1-body terms was estimated to be as small as 0.1, implying high adaptability and evolvability of the protein translation system.
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影响因子：
7
作者：
Kazuta, Yasuaki;Adachi, Jiro;Yomo, Tetsuya
通讯作者：
Yomo, Tetsuya
影响因子：
4.5
作者：
Chester, A;Weinreb, V;Navaratnam, N
通讯作者：
Navaratnam, N
影响因子：
14.9
作者：
Bulyk, ML;Johnson, PLF;Church, GM
通讯作者：
Church, GM
影响因子：
64.8
作者：
Poelwijk, Frank J.;Kiviet, Daniel J.;Tans, Sander J.
通讯作者：
Tans, Sander J.
DOI：
10.1093/protein/11.9.789
发表时间：
1998-09-01
期刊：
PROTEIN ENGINEERING
影响因子：
--
作者：
Matsuura, T;Yomo, T;Urabe, I
通讯作者：
Urabe, I