Information propagation in far-from-equilibrium molecular templating networks is optimised by pseudo-equilibrium systems with negligible dissipation

Benjamin Qureshi, Jenny M. Poulton, Thomas E. Ouldridge
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Abstract

Far-from equilibrium molecular templating networks, like those that maintain the populations of RNA and protein molecules in the cell, are key biological motifs. These networks share the general property that assembled products are produced and degraded via complex pathways controlled by catalysts, including molecular templates. Although it has been suggested that the information propagated from templates to products sets a lower bound on the thermodynamic cost of these networks, this bound has not been explored rigorously to date. We show that, for an arbitrarily catalytic reaction network in steady state, the specificity with which a single product can dominate the ensemble is upper bounded, and the entropy of the product ensemble lower bounded, by a function of $\Delta G$, the difference between the maximal and minimal free-energy changes along pathways to assembly. These simple bounds are particularly restrictive for systems with a smaller number of possible products $M$. Remarkably, however, although $\Delta G$ constrains the information propagated to the product distribution, the systems that saturate the bound operate in a pseudo-equilibrium fashion, and there is no minimal entropy production rate for maintaining this non-equilibrium distribution. Moreover, for large systems, a vanishingly small subset of the possible products can dominate the product ensemble even for small values of $\Delta G/\ln M$.
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通过可忽略耗散的伪平衡系统优化远非平衡分子模板网络中的信息传播
远离平衡的分子模板网络,如那些维持细胞中 RNA 和蛋白质分子群的网络,是关键的生物特征。这些网络有一个共同的特性,即组装的产物通过由催化剂(包括分子模板)控制的复杂途径产生和降解。尽管有人认为,从模板到产物的信息传播为这些网络的热力学成本设定了一个下限,但迄今为止尚未对这一下限进行严格探讨。我们发现,对于一个处于稳定状态的任意催化反应网络来说,单个产物能够支配整个反应网络的特异性是有上限的,而产物网络的熵是有下限的,下限是 $\Delta G$ 的函数,即组装路径上最大自由能变化和最小自由能变化之间的差值。然而,值得注意的是,尽管 $\Delta G$ 限制了传播到产物分布的信息,但饱和约束的系统以假平衡的方式运行,并且不存在维持这种非平衡分布的最小熵产生率。此外,对于大型系统来说,即使 $\Delta G/\ln M$ 的值很小,可能产物的极小子集也能支配产物集合。
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