One-dimensional staged self-assembly

  • Authors:
  • Erik D. Demaine;Sarah Eisenstat;Mashhood Ishaque;Andrew Winslow

  • Affiliations:
  • MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA;Department of Computer Science, Tufts University, Medford, MA;Department of Computer Science, Tufts University, Medford, MA

  • Venue:
  • DNA'11 Proceedings of the 17th international conference on DNA computing and molecular programming
  • Year:
  • 2011

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Abstract

We introduce the problem of staged self-assembly of one-dimensional nanostructures, which becomes interesting when the elements are labeled (e.g., representing functional units that must be placed at specific locations). In a restricted model in which each operation has a single terminal assembly, we prove that assembling a given string of labels with the fewest stages is equivalent, up to constant factors, to compressing the string to be uniquely derived from the smallest possible context-free grammar (a well-studied O(log n)-approximable problem). Without this restriction, we show that the optimal assembly can be substantially smaller than the optimal context-free grammar, by a factor of Ω(√n/ log n) even for binary strings of length n. Fortunately, we can bound this separation in model power by a quadratic function in the number of distinct glues or tiles allowed in the assembly, which is typically small in practice.