2007/12/03 by Johannes Berg · 32 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Biology #Computational biology #Computer science #Expression (computer science) #Gene #Gene Regulatory Network Analysis #Gene expression #Genetics #Mathematical Biology Tumor Growth #Physics #Statistical mechanics #Statistical physics #Stochastic dynamics #Transcription (linguistics) #Transcription factor #cond-mat.stat-mech #q-bio.MN
paper · pdf · doi:10.1103/physrevlett.100.188101
published in Physical Review Letters 100(18), 188101 (American Physical Society)
arxiv created 2007/12/03 · openalex publication_date 2008/05/05 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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 Letter we discuss a simple mapping between dynamic models of gene expression and stochastic systems driven out of equilibrium. Using this mapping, results of out-of-equilibrium 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.