4.8 Article

Insights from an information thermodynamics analysis of a synthetic molecular motor

Journal

NATURE CHEMISTRY
Volume 14, Issue 5, Pages 530-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41557-022-00899-z

Keywords

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Funding

  1. European Research Council (ERC) [681456, 786630]
  2. FQXi Foundation, project 'Information as a fuel in colloids and superconducting quantum circuits' [FQXi-IAF19-05]
  3. Engineering and Physical Sciences Research Council (EPSRC) [EP/P027067/1]
  4. Deutsche Forschungsgemeinschaft
  5. University of Manchester
  6. EPSRC

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The framework of information thermodynamics allows us to quantitatively relate information to other thermodynamic parameters and reveals the generation of energy and information flow in the chemical to mechanical process. This is of great significance for understanding the thermodynamic level of molecular motors and has practical implications for machine design.
Information is physical, a realization that has transformed the physics of measurement and communication. However, the flow between information, energy and mechanics in chemical systems remains largely unexplored. Here we analyse a minimalist autonomous chemically driven molecular motor in terms of information thermodynamics, a framework that quantitatively relates information to other thermodynamic parameters. The treatment reveals how directional motion is generated by free energy transfer from chemical to mechanical (conformational and/or co-conformational) processes by 'energy flow' and 'information flow'. It provides a thermodynamic level of understanding of molecular motors that is general, complements previous analyses based on kinetics and has practical implications for machine design. In line with kinetic analysis, we find that power strokes do not affect the directionality of chemically driven machines. However, we find that power strokes can modulate motor velocity, the efficiency of free energy transfer and the number of fuel molecules consumed per cycle. This may help explain the role of such (co-)conformational changes in biomachines and illustrates the interplay between energy and information in chemical systems.

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