Flow of Energy and Information in Molecular Machines

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Leighton, Matthew P., Sivak, David A.
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866911000981143552
author Leighton, Matthew P.
Sivak, David A.
author_facet Leighton, Matthew P.
Sivak, David A.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2406_10355
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Flow of Energy and Information in Molecular Machines
Leighton, Matthew P.
Sivak, David A.
Statistical Mechanics
Biological Physics
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.
title Flow of Energy and Information in Molecular Machines
topic Statistical Mechanics
Biological Physics
url https://arxiv.org/abs/2406.10355