Self-consistent proteomic field theory of stochastic gene switches.
Self-consistent proteomic field theory of stochastic gene switches.
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DOI：
10.1529/biophysj.104.050666
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发表时间：
2004-07
影响因子：
3.4
通讯作者：
A. Walczak;M. Sasai;P. Wolynes
中科院分区：
文献类型：
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作者：
A. Walczak;M. Sasai;P. Wolynes
我们提出了一个自洽场近似的方法来解决由两个相互抑制/激活的基因组成的遗传开关的问题。蛋白质和DNA的状态动力学被随机和平等地对待。在这种方法中，由一个基因创建的蛋白质组云对另一个基因的作用的平均影响是自洽计算的。在这个近似范围内的随机遗传开关可以精确地解决在找到的概率分布和它的时刻。更大一类的问题，如遗传网络和级联，也仍然可以用这种近似精确求解。我们将深入讨论生物系统使用的某些特定类型的基本开关，并将其行为与确定性开关的预期进行比较。
We present a self-consistent field approximation approach to the problem of the genetic switch composed of two mutually repressing/activating genes. The protein and DNA state dynamics are treated stochastically and on an equal footing. In this approach the mean influence of the proteomic cloud created by one gene on the action of another is self-consistently computed. Within this approximation a broad range of stochastic genetic switches may be solved exactly in terms of finding the probability distribution and its moments. A much larger class of problems, such as genetic networks and cascades, also remain exactly solvable with this approximation. We discuss, in depth, certain specific types of basic switches used by biological systems and compare their behavior to the expectation for a deterministic switch.