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Natural Computing

, Volume 14, Issue 2, pp 265–278 | Cite as

Exponential replication of patterns in the signal tile assembly model

  • Alexandra Keenan
  • Robert Schweller
  • Xingsi Zhong
Article

Abstract

Chemical self-replicators are of considerable interest in the field of nanomanufacturing and as a model for evolution. We introduce the problem of self-replication of rectangular two-dimensional patterns in the practically motivated signal tile assembly model (STAM) (Padilla et al. Asynchronous signal passing for tile self-assembly: fuel efficient computation and efficient assembly of shapes, 2013). The STAM is based on the tile assembly model (TAM) which is a mathematical model of self-assembly in which DNA tile monomers may attach to other DNA tile monomers in a programmable way. More abstractly, four-sided tiles are assigned glue types to each edge, and self-assembly occurs when singleton tiles bind to a growing assembly, if the glue types match and the glue binding strength exceeds some threshold. The signal tile extension of the TAM allows signals to be propagated across assemblies to activate glues or break apart assemblies. Here, we construct a pattern replicator that replicates a two-dimensional input pattern over some fixed alphabet of size \(\phi \) with \(O(\phi )\) tile types, \(O(\phi )\) unique glues, and a signal complexity of \(O(1)\). Furthermore, we show that this replication system displays exponential growth in \(n\), the number of replicates of the initial patterned assembly.

Keywords

Self-replication Computational geometry Self-assembly Wang tiles Tile self-assembly 

Notes

Acknowledgments

We would like to thank Jennifer Padilla for helpful discussions regarding the current state of experimental DNA implementations of signal tile systems. This research was supported by National Science Foundation Grant CCF-1117672.

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Alexandra Keenan
    • 1
  • Robert Schweller
    • 1
  • Xingsi Zhong
    • 1
  1. 1.Department of Computer ScienceUniversity of Texas - Pan American Engineering BuildingEdinburgUSA

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