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摘要翻译：
为了在合适的时间表达特定的基因，基因的转录受到转录因子分子有无的调节。随着转录因子浓度的不断变化，基因转录在平衡状态下进行。本文讨论了基因表达的动态模型与随机系统之间的简单映射。利用这一映射，证明了非平衡统计力学的结果，如Jarzynski等式和涨落定理在基因表达动力学中的应用。这种方法的应用包括从实验基因表达数据中确定基因之间的调节相互作用。
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英文标题：
《Non-equilibrium dynamics of gene expression and the Jarzynski equality》
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作者：
Johannes Berg
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最新提交年份：
2007
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分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Molecular Networks 分子网络
分类描述：Gene regulation, signal transduction, proteomics, metabolomics, gene and enzymatic networks
基因调控、信号转导、蛋白质组学、代谢组学、基因和酶网络
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一级分类：Physics 物理学
二级分类：Statistical Mechanics 统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
In order to express specific genes at the right time, the transcription of genes is regulated by the presence and absence of transcription factor molecules. With transcription factor concentrations undergoing constant changes, gene transcription takes place out of equilibrium. In this paper we discuss a simple mapping between dynamic models of gene expression and stochastic systems driven out of equilibrium. Using this mapping, results of nonequilibrium statistical mechanics such as the Jarzynski equality and the fluctuation theorem are demonstrated for gene expression dynamics. Applications of this approach include the determination of regulatory interactions between genes from experimental gene expression data.
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PDF链接：
https://arxiv.org/pdf/712.017
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