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Portrait of Heiner Linke; Photo: Kennet Ruona

Heiner Linke

Professor, Deputy dean at Faculty of Engineering, LTH

Portrait of Heiner Linke; Photo: Kennet Ruona

A classical Master equation approach to modeling an artificial protein motor

Author

  • Nathan J. Kuwada
  • Gerhard A. Blab
  • Heiner Linke

Summary, in English

Inspired by biomolecular motors, as well as by theoretical concepts for chemically driven nanomotors, there is significant interest in constructing artificial molecular motors. One driving force is the opportunity to create well-controlled model systems that are simple enough to be modeled in detail. A remaining challenge is the fact that such models need to take into account processes on many different time scales. Here we describe use of a classical Master equation approach, integrated with input from Langevin and molecular dynamics modeling, to stochastically model an existing artificial molecular motor concept, the Tumbleweed, across many time scales. This enables us to study how interdependencies between motor processes, such as center-of-mass diffusion and track binding/unbinding, affect motor performance. Results from our model help guide the experimental realization of the proposed motor, and potentially lead to insights that apply to a wider class of molecular motors. (C) 2010 Elsevier B.V. All rights reserved.

Department/s

  • Solid State Physics
  • NanoLund

Publishing year

2010

Language

English

Pages

479-485

Publication/Series

Chemical Physics

Volume

375

Issue

2-3

Document type

Journal article

Publisher

Elsevier

Topic

  • Condensed Matter Physics

Keywords

  • Artificial molecular motors
  • Master equation
  • Computational simulation

Status

Published

ISBN/ISSN/Other

  • ISSN: 0301-0104