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International Workshop on DNA-Based Computers

DNA 2014: DNA Computing and Molecular Programming pp 114–131Cite as

Parallel and Scalable Computation and Spatial Dynamics with DNA-Based Chemical Reaction Networks on a Surface

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 8727)

Abstract

We propose a theoretical framework that uses a novel DNA strand displacement mechanism to implement abstract chemical reaction networks (CRNs) on the surface of a DNA nanostructure, and show that surface CRNs can perform efficient algorithmic computation and create complex spatial dynamics. We argue that programming molecular behaviors with surface CRNs is systematic, parallel and scalable.

Keywords

  • Cellular Automaton
  • Turing Machine
  • Transition Rule
  • Logic Circuit
  • Strand Displacement

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-11295-4_8
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Author information

Authors and Affiliations

  1. Bioengineering, California Institute of Technology, Pasadena, CA, 91125, USA

    Lulu Qian & Erik Winfree

  2. Computer Science, California Institute of Technology, Pasadena, CA, 91125, USA

    Lulu Qian & Erik Winfree

  3. Computation and Neural Systems, California Institute of Technology, Pasadena, CA, 91125, USA

    Erik Winfree

Authors
  1. Lulu Qian
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  2. Erik Winfree
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Editor information

Editors and Affiliations

  1. Graduate School of Engineering, Department of Bioengineering and Robotics, Tohoku University, 6-6-01 Aoba-yama, 980-8579, Sendai, Japan

    Satoshi Murata

  2. Graduate School of Informatics and Engineering, Department of Communication Engineering and Informatics, University of Electro-Communications, 1-5-1 Chofugaoka, 182-8585, Chofu, Tokyo, Japan

    Satoshi Kobayashi

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Qian, L., Winfree, E. (2014). Parallel and Scalable Computation and Spatial Dynamics with DNA-Based Chemical Reaction Networks on a Surface. In: Murata, S., Kobayashi, S. (eds) DNA Computing and Molecular Programming. DNA 2014. Lecture Notes in Computer Science, vol 8727. Springer, Cham. https://doi.org/10.1007/978-3-319-11295-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-11295-4_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11294-7

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