Internal energy and information flows mediate input and output power in bipartite molecular machines
arXiv:2111.08781 · doi:10.1103/PhysRevE.105.024136
Abstract
Microscopic biological systems operate far from equilibrium, are subject to strong fluctuations, and are composed of many coupled components with interactions varying in nature and strength. Researchers are actively investigating the general design principles governing how biomolecular machines achieve effective free-energy transduction in light of these challenges. We use a model of two strongly coupled stochastic rotary motors to explore the effect of coupling strength between components of a molecular machine. We observe prominent thermodynamic characteristics at intermediate coupling strength, near that which maximizes output power: a maximum in power and information transduced from the upstream to the downstream system, and equal subsystem entropy production rates. These observations are unified through a bound on the machine's input and output power, which accounts for both the energy and information transduced between subsystems.
6 main pages, 4 appendix pages, 8 figures
References in corpus (4)
Cited by in corpus (12)
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- Flow of Energy and Information in Molecular Machines
- Unlocking the potential of information flow: Maximizing free-energy transduction in a model of an autonomous rotary molecular motor
- Information Arbitrage in Bipartite Heat Engines
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- Synchronization of thermodynamically consistent stochastic phase oscillators
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- Information Thermodynamics for Deterministic Chemical Reaction Networks
- Effects of symmetry on coupled rotary molecular motors