小网络中的基因-基因协同性
Gene-gene cooperativity in small networks
摘要：
我们展示了如何构建一个减少描述的相互作用的基因在嘈杂的，小的调控网络使用耦合二进制“自旋”变量。同时处理蛋白质数量和基因表达状态变量随机和平等的基础上，我们提出了一个映射连接的分子水平的描述网络的二进制表示。我们构建了一个相图，表明基因可以被认为是独立的，当它们之间的耦合不能被忽视，导致同步或相关性。我们发现，一个适当的映射布尔描述再现的概率基因表达状态的完整的随机系统非常好，可以转移到自我调节系统的例子与大量的基因拷贝。
英文摘要：
We show how to construct a reduced description of interacting genes in noisy, small regulatory networks using coupled binary "spin" variables. Treating both the protein number and gene expression state variables stochastically and on equal footing we propose a mapping which connects the molecular level description of networks to the binary representation. We construct a phase diagram indicating when genes can be considered to be independent and when the coupling between them cannot be neglected leading to synchrony or correlations. We find that an appropriately mapped boolean description reproduces the probabilities of gene expression states of the full stochastic system very well and can be transfered to examples of self-regulatory systems with a larger number of gene copies.
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。
