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Tuning the performance of an artificial protein motor

Kuwada, Nathan J.; Zuckermann, Martin J.; Bromley, Elizabeth H. C.; Sessions, Richard B.; Curmi, Paul M. G.; Forde, Nancy R.; Woolfson, Derek N. and Linke, Heiner LU (2011) In Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)2001-01-01+01:002016-01-01+01:00 84(3).
Abstract
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... (More)
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. (Less)
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organization
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Contribution to journal
publication status
published
subject
in
Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)2001-01-01+01:002016-01-01+01:00
volume
84
issue
3
publisher
American Physical Society
external identifiers
  • wos:000296498900005
  • scopus:80053126280
ISSN
1539-3755
DOI
10.1103/PhysRevE.84.031922
language
English
LU publication?
yes
id
0f6363e2-4af8-4daf-a0ab-26ce5948a442 (old id 2207042)
date added to LUP
2011-11-28 15:30:17
date last changed
2017-10-08 03:21:04
@article{0f6363e2-4af8-4daf-a0ab-26ce5948a442,
  abstract     = {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.},
  articleno    = {031922},
  author       = {Kuwada, Nathan J. and Zuckermann, Martin J. and Bromley, Elizabeth H. C. and Sessions, Richard B. and Curmi, Paul M. G. and Forde, Nancy R. and Woolfson, Derek N. and Linke, Heiner},
  issn         = {1539-3755},
  language     = {eng},
  number       = {3},
  publisher    = {American Physical Society},
  series       = {Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)2001-01-01+01:002016-01-01+01:00},
  title        = {Tuning the performance of an artificial protein motor},
  url          = {http://dx.doi.org/10.1103/PhysRevE.84.031922},
  volume       = {84},
  year         = {2011},
}