Flow of Energy and Information in Molecular Machines

TL;DR

This paper reviews the nonequilibrium thermodynamics of molecular machines, focusing on energy and information flows, to understand their function and guide the engineering of synthetic nanomachines.

Contribution

It synthesizes recent theoretical, modeling, and experimental insights into energy and information transduction in molecular machines, highlighting their thermodynamic principles.

Findings

Quantification of energy and information flows in molecular components

Insights into thermodynamic efficiency of molecular machines

Guidance for designing synthetic nanomachines

Abstract

Molecular machines transduce free energy between different forms throughout all living organisms. While truly machines in their own right, unlike their macroscopic counterparts molecular machines are characterized by stochastic fluctuations, overdamped dynamics, and soft components, and operate far from thermodynamic equilibrium. In addition, information is a relevant free-energy resource for molecular machines, leading to new modes of operation for nanoscale engines. Towards the objective of engineering synthetic nanomachines, an important goal is to understand how molecular machines transduce free energy to perform their functions in biological systems. In this review we discuss the nonequilibrium thermodynamics of free-energy transduction within molecular machines, with a focus on quantifying energy and information flows between their components. We review results from theory, modeling, and inference from experiments that shed light on the internal thermodynamics of molecular machines, and ultimately explore what we can learn from considering these interactions.