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Nonequilibrium Thermodynamics of Chemical Reaction Networks: Wisdom from Stochastic Thermodynamics

机译:化学反应网络的非平衡热力学:来自的智慧   随机热力学

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摘要

We build a rigorous nonequilibrium thermodynamic description for openchemical reaction networks of elementary reactions. Their dynamics is describedby deterministic rate equations satisfying mass action law. Our most generalframework considers open networks driven by time-dependent chemostats. Theenergy and entropy balances are established and a nonequilibrium Gibbs freeenergy is introduced. The difference between this latter and its equilibriumform represents the minimal work done by the chemostats to bring the network inits nonequilibrium state. It is minimized in nondriven detailed-balancednetworks (i.e. networks which relax to equilibrium states) and has aninteresting information-theoretic interpretation. We further show that theentropy production of complex balanced networks (i.e. networks which relax tospecial kinds of nonequilibrium steady states) splits into two non-negativecontributions. One charaterizing the dissipation of the nonequilibrium steadystate and the other the transients due to relaxation and driving. Our theorylays the path to study time-dependent energy and information transduction inbiochemical networks.
机译:我们为基本反应的开放化学反应网络建立了严格的非平衡热力学描述。它们的动力学由满足质量作用定律的确定性速率方程描述。我们最一般的框架考虑由时间依赖的恒化器驱动的开放网络。建立了能量和熵的平衡,并引入了非平衡吉布斯自由能。后者与其平衡形式之间的差异代表了化学稳定器为使网络处于非平衡状态所做的最小工作。在非驱动的详细平衡网络(即松弛到平衡状态的网络)中将其最小化,并且具有有趣的信息理论解释。我们进一步表明,复杂平衡网络(即放松到特殊类型的非平衡稳态的网络)的熵产生可分为两个非负贡献。一个表征非平衡稳态的耗散,另一个表征由于松弛和驱动而引起的瞬变。我们的理论奠定了研究生化网络中随时间变化的能量和信息转导的途径。

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