Dynamic and thermodynamic bounds for collective motor-driven transport

Abstract

Molecular motors work collectively to transport cargo within cells, with anywhere from one to several hundred motors towing a single cargo. For a broad class of collective-transport systems, we use tools from stochastic thermodynamics to derive a new lower bound for the entropy production rate which is tighter than the second law. This implies new bounds on the velocity, efficiency, and precision of general transport systems and a set of analytic Pareto frontiers for identical motors. In a specific model, we identify conditions for saturation of these Pareto frontiers.

5 pages, 2 figures. Appendices: 6 pages, 4 figures

References in corpus (4)

• Thermodynamic uncertainty relation for biomolecular processes
• Universal bound on the efficiency of molecular motors
• Information-theoretic vs. thermodynamic entropy production in autonomous sensory networks
• Multipartite information flow for multiple Maxwell demons

Cited by in corpus (10)

• Energy and information flows in autonomous systems
• Inferring Subsystem Efficiencies in Bipartite Molecular Machines
• Entropy production and thermodynamic inference for stochastic microswimmers
• Dissipation, quantum coherence, and asymmetry of finite-time cross-correlations
• Flow of Energy and Information in Molecular Machines
• Perspective: Time irreversibility in systems observed at coarse resolution
• Thermodynamic bounds on generalized transport: From single-molecule to bulk observables
• Jensen bound for the entropy production rate in stochastic thermodynamics
• A [3]-catenane non-autonomous molecular motor model: geometric phase, no-pumping theorem, and energy transduction
• Thermodynamic inference of correlations in nonequilibrium collective dynamics