ArticlePhysical review. E2018
Design principles and optimal performance for molecular motors under realistic constraints.
Article in Physical review. E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Stochastic thermodynamics for biological functions.Quantitative biology (Beijing, China) · 2025Review
- Theoretical efficiency limits and speed-efficiency trade-off in myosin motors.PLoS computational biology · 2023Article
- An empirical energy landscape reveals mechanism of proteasome in polypeptide translocation.eLife · 2022Article
- Modeling Bacterial Flagellar Motor With New Structure Information: Rotational Dynamics of Two Interacting Protein Nano-Rings.Frontiers in microbiology · 2022Article
- Physical bioenergetics: Energy fluxes, budgets, and constraints in cells.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Nonequilibrium Thermodynamics in Biochemical Systems and Its Application.Entropy (Basel, Switzerland) · 2021Review
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Authors and funding
2 authors.
Funding
Abstract
The performance of a molecular motor, characterized by its power output and energy efficiency, is investigated in the motor design space spanned by the stepping rate function and the motor-track interaction potential. Analytic results and simulations show that a gating mechanism that restricts forward stepping in a narrow window in configuration space is needed for generating high power at physiologically relevant loads. By deriving general thermodynamics laws for nonequilibrium motors, we find that the maximum torque (force) at stall is less than its theoretical limit for any realistic motor-track interactions due to speed fluctuations. Our study reveals a tradeoff for the motor-track interaction: while a strong interaction generates a high power output for forward steps, it also leads to a higher probability of wasteful spontaneous back steps. Our analysis and simulations show that this tradeoff sets a fundamental limit to the maximum motor efficiency in the presence of spontaneous back steps, i.e., loose-coupling. Balancing this tradeoff leads to an optimal design of the motor-track interaction for achieving a maximum efficiency close to 1 for realistic motors that are not perfectly coupled with the energy source. Comparison with existing data and suggestions for future experiments are discussed.
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Registered trials
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