Molecular robots guided by prescriptive landscapes

Kyle Lund, Anthony J. Manzo, Nadine Dabby, Nicole Michelotti, Alexander Johnson-Buck, Jeanette Nangreave, Steven Taylor, Renjun Pei, Milan N. Stojanovic (), Nils G. Walter (), Erik Winfree () and Hao Yan ()
Additional contact information
Kyle Lund: Arizona State University, Tempe, Arizona 85287, USA
Anthony J. Manzo: Single Molecule Analysis Group, University of Michigan, Ann Arbor, Michigan 48109, USA
Nadine Dabby: Computation & Neural Systems, California Institute of Technology, Pasadena, California 91125, USA
Nicole Michelotti: Single Molecule Analysis Group, University of Michigan, Ann Arbor, Michigan 48109, USA
Alexander Johnson-Buck: Single Molecule Analysis Group, University of Michigan, Ann Arbor, Michigan 48109, USA
Jeanette Nangreave: Arizona State University, Tempe, Arizona 85287, USA
Steven Taylor: Columbia University, New York, New York 10032, USA
Renjun Pei: Columbia University, New York, New York 10032, USA
Milan N. Stojanovic: Columbia University, New York, New York 10032, USA
Nils G. Walter: Single Molecule Analysis Group, University of Michigan, Ann Arbor, Michigan 48109, USA
Erik Winfree: Computation & Neural Systems, California Institute of Technology, Pasadena, California 91125, USA
Hao Yan: Arizona State University, Tempe, Arizona 85287, USA

Nature, 2010, vol. 465, issue 7295, 206-210

Abstract: Robotics in the nanoworld Programming the behaviour of molecules in time and space is a big challenge in nanotechnology. Traditional robots can be given a memory in which to store internal representations of their goals and environment, and coordinate their response. Individual molecules are limited in their ability to store information and programs, but robotic behaviour can still be realized by exploiting the interaction of simple single-molecule robots with a precisely defined environment. This has now been demonstrated with spider-shaped DNA 'walkers', which sense and modify tracks of substrate molecules laid out on a two-dimensional DNA origami landscape. The robots carry out actions such as 'start', 'follow', 'turn', and 'stop' programmed into the DNA landscape, with more complex robotic behaviour expected once secondary levels of control can be introduced.

Date: 2010
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DOI: 10.1038/nature09012

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