Published December 2011 | Version public
Book Section - Chapter

Program Size and Temperature in Self-assembly

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Kyoto University

Abstract

Winfree's abstract Tile Assembly Model (aTAM) is a model of molecular self-assembly of DNA complexes known as tiles, which float freely in solution and attach one at a time to a growing "seed" assembly based on specific binding sites on their four sides. We show that there is a polynomial-time algorithm that, given an n ×n square, finds the minimal tile system (i.e., the system with the smallest number of distinct tile types) that uniquely self-assembles the square, answering an open question of Adleman, Cheng, Goel, Huang, Kempe, Moisset de Espanés, and Rothemund (Combinatorial Optimization Problems in Self-Assembly, STOC 2002). Our investigation leading to this algorithm reveals other positive and negative results about the relationship between the size of a tile system and its "temperature" (the binding strength threshold required for a tile to attach).

Additional Information

© 2011 Springer-Verlag Berlin Heidelberg. The first author was supported by the Molecular Programming Project under NSF grant 0832824, the second author was supported by an NSF Computing Innovation Fellowship, and the third author was supported by NSERC Discovery Grant R2824A01 and the Canada Research Chair in Biocomputing to Lila Kari and the Funding Program for Next Generation World-Leading Researchers (NEXT program) to Professor Yasushi Okuno.

Additional details

Identifiers

Eprint ID
58650
Resolver ID
CaltechAUTHORS:20150629-081312412

Funding

NSF
CCF-0832824
Natural Sciences and Engineering Research Council of Canada (NSERC)
R2824A01
Canada Research Chairs Program
Funding Program for Next Generation World-Leading Researchers (NEXT Program)

Dates

Created
2015-07-08
Created from EPrint's datestamp field
Updated
2021-11-10
Created from EPrint's last_modified field

Caltech Custom Metadata

Series Name
Lecture Notes in Computer Science
Series Volume or Issue Number
7074