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arXiv 1406.3089q-bio.SCmath.PRphysics.bio-phstat.AP
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动态随机转录驱动的蛋白质合成

Protein synthesis driven by dynamical stochastic transcription

Guilherme C. P. Innocentini, Michael Forger, Ovidiu Radulescu, Fernando Antoneli

摘要:

在这篇手稿中,我们提出了一个数学框架来耦合转录和翻译,其中mRNA的产生由一组主方程描述,而蛋白质密度的动态由随机微分方程控制。这两个过程之间的耦合是由一个随机扰动,其统计满足主方程。在这种方法中,从mRNA数量的分析时间依赖性分布的知识,我们能够计算蛋白质群体的概率密度的动态。

英文摘要:

In this manuscript we propose a mathematical framework to couple transcription and translation in which mRNA production is described by a set of master equations while the dynamics of protein density is governed by a random differential equation. The coupling between the two processes is given by a stochastic perturbation whose statistics satisfies the master equations. In this approach, from the knowledge of the analytical time dependent distribution of mRNA number, we are able to calculate the dynamics of the probability density of the protein population.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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