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Tuning the performance of an artificial protein motor
Author(s) -
Nathan J. Kuwada,
Martin J. Zuckermann,
Elizabeth H. C. Bromley,
Richard B. Sessions,
Paul M. G. Curmi,
Nancy R. Forde,
Derek N. Woolfson,
Heiner Linke
Publication year - 2011
Publication title -
physical review e
Language(s) - English
Resource type - Journals
eISSN - 1550-2376
pISSN - 1539-3755
DOI - 10.1103/physreve.84.031922
Subject(s) - flexibility (engineering) , computer science , molecular motor , context (archaeology) , set (abstract data type) , function (biology) , motion (physics) , linear motor , control theory (sociology) , control engineering , artificial intelligence , mechanical engineering , mathematics , materials science , engineering , nanotechnology , biology , programming language , paleontology , evolutionary biology , statistics , control (management)
The Tumbleweed (TW) is a concept for an artificial, tri-pedal, protein-based motor designed to move unidirectionally along a linear track by a diffusive tumbling motion. Artificial motors offer the unique opportunity to explore how motor performance depends on design details in a way that is open to experimental investigation. Prior studies have shown that TW's ability to complete many successive steps can be critically dependent on the motor's diffusional step time. Here, we present a simulation study targeted at determining how to minimize the diffusional step time of the TW motor as a function of two particular design choices: nonspecific motor-track interactions and molecular flexibility. We determine an optimal nonspecific interaction strength and establish a set of criteria for optimal molecular flexibility as a function of the nonspecific interaction. We discuss our results in the context of similarities to biological, linear stepping diffusive molecular motors with the aim of identifying general engineering principles for protein motors

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