Limits on the Precision of Catenane Molecular Motors: Insights from Thermodynamics and Molecular Dynamics Simulations

Fuente: arXiv
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Autores principales: Albaugh, Alex, Fu, Rueih-Sheng, Gu, Geyao, Gingrich, Todd R.
Formato: Preprint
Publicado: 2023
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author Albaugh, Alex
Fu, Rueih-Sheng
Gu, Geyao
Gingrich, Todd R.
author_facet Albaugh, Alex
Fu, Rueih-Sheng
Gu, Geyao
Gingrich, Todd R.
contents Thermodynamic uncertainty relations (TURs) relate precision to the dissipation rate, yet the inequalities can be far from saturation. Indeed, in catenane molecular motor simulations, we record precision far below the TUR limit. We further show that this inefficiency can be anticipated by four physical parameters: the thermodynamic driving force, fuel decomposition rate, coupling between fuel decomposition and motor motion, and rate of undriven motor motion. The physical insights might assist in designing molecular motors in the future.
format Preprint
id arxiv_https___arxiv_org_abs_2306_03182
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Limits on the Precision of Catenane Molecular Motors: Insights from Thermodynamics and Molecular Dynamics Simulations
Albaugh, Alex
Fu, Rueih-Sheng
Gu, Geyao
Gingrich, Todd R.
Statistical Mechanics
Thermodynamic uncertainty relations (TURs) relate precision to the dissipation rate, yet the inequalities can be far from saturation. Indeed, in catenane molecular motor simulations, we record precision far below the TUR limit. We further show that this inefficiency can be anticipated by four physical parameters: the thermodynamic driving force, fuel decomposition rate, coupling between fuel decomposition and motor motion, and rate of undriven motor motion. The physical insights might assist in designing molecular motors in the future.
title Limits on the Precision of Catenane Molecular Motors: Insights from Thermodynamics and Molecular Dynamics Simulations
topic Statistical Mechanics
url https://arxiv.org/abs/2306.03182