Abstract
The stepping direction of linear molecular motors is usually defined by a spatial asymmetry of the motor, its track, or both. Here we present a model for a molecular walker that undergoes biased directional motion along a symmetric track in the presence of a temporally symmetric chemical cycle. Instead of using asymmetry, directionality is achieved by persistence. At small load force the walker can take on average thousands of steps in a given direction until it stochastically reverses direction. We discuss a specific experimental implementation of a synthetic motor based on this design and find, using Langevin and Monte Carlo simulations, that a realistic walker can work against load forces on the order of picoNewtons with an efficiency of ∼18%, comparable to that of kinesin. In principle, the walker can be turned into a permanent motor by externally monitoring the walker’s momentary direction of motion, and using feedback to adjust the direction of a load force. We calculate the thermodynamic cost of using feedback to enhance motor performance in terms of the Shannon entropy, and find that it reduces the efficiency of a realistic motor only marginally. We discuss the implications for natural protein motor performance in the context of the strong performance of this design based only on a thermal ratchet.
Highlights
Motion is an essential feature of all living systems
Through the use of Langevin and Monte Carlo simulations, we explore the mechanism of this walker, and determine its performance as a molecular motor
From a physics point of view, it is interesting to note that synthetic kinesin-inspired protein (SKIP) is fundamentally a feedback motor: to apply a load force, and to turn the walker into a motor, the walker’s initial direction of motion must be known
Summary
Commons Attribution 3.0 Keywords: molecular motor, Brownian ratchet, kinesin, Langevin dynamics, artificial protein motor, feedback control licence. The stepping direction of linear molecular motors is usually defined by a spatial asymmetry of the motor, its track, or both. At small load force the walker can take on average thousands of steps in a given direction until it stochastically reverses direction. We discuss a specific experimental implementation of a synthetic motor based on this design and find, using Langevin and Monte Carlo simulations, that a realistic walker can work against load forces on the order of picoNewtons with an efficiency of ∼18%, comparable to that of kinesin. The walker can be turned into a permanent motor by externally monitoring the walker’s momentary direction of motion, and using feedback to adjust the direction of a load force. We discuss the implications for natural protein motor performance in the context of the strong performance of this design based only on a thermal ratchet
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