Literature DB >> 19956398

Geometrical tile design for complex neighborhoods.

Eugen Czeizler1, Lila Kari.   

Abstract

Recent research has showed that tile systems are one of the most suitable theoretical frameworks for the spatial study and modeling of self-assembly processes, such as the formation of DNA and protein oligomeric structures. A Wang tile is a unit square, with glues on its edges, attaching to other tiles and forming larger and larger structures. Although quite intuitive, the idea of glues placed on the edges of a tile is not always natural for simulating the interactions occurring in some real systems. For example, when considering protein self-assembly, the shape of a protein is the main determinant of its functions and its interactions with other proteins. Our goal is to use geometric tiles, i.e., square tiles with geometrical protrusions on their edges, for simulating tiled paths (zippers) with complex neighborhoods, by ribbons of geometric tiles with simple, local neighborhoods. This paper is a step toward solving the general case of an arbitrary neighborhood, by proposing geometric tile designs that solve the case of a "tall" von Neumann neighborhood, the case of the f-shaped neighborhood, and the case of a 3 x 5 "filled" rectangular neighborhood. The techniques can be combined and generalized to solve the problem in the case of any neighborhood, centered at the tile of reference, and included in a 3 x (2k + 1) rectangle.

Entities:  

Keywords:  complex neighborhoods; geometric tiles; tile systems; tiled paths

Year:  2009        PMID: 19956398      PMCID: PMC2786297          DOI: 10.3389/neuro.10.020.2009

Source DB:  PubMed          Journal:  Front Comput Neurosci        ISSN: 1662-5188            Impact factor:   2.380


  9 in total

1.  Using lateral capillary forces to compute by self-assembly.

Authors:  P W Rothemund
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-01       Impact factor: 11.205

2.  Logical computation using algorithmic self-assembly of DNA triple-crossover molecules.

Authors:  C Mao; T H LaBean; J H Relf; N C Seeman
Journal:  Nature       Date:  2000-09-28       Impact factor: 49.962

3.  Nanostructures. Self-assembled domain patterns.

Authors:  R Plass; J A Last; N C Bartelt; G L Kellogg
Journal:  Nature       Date:  2001-08-30       Impact factor: 49.962

4.  A free-running DNA motor powered by a nicking enzyme.

Authors:  Jonathan Bath; Simon J Green; Andrew J Turberfield
Journal:  Angew Chem Int Ed Engl       Date:  2005-07-11       Impact factor: 15.336

5.  Two computational primitives for algorithmic self-assembly: copying and counting.

Authors:  Robert D Barish; Paul W K Rothemund; Erik Winfree
Journal:  Nano Lett       Date:  2005-12       Impact factor: 11.189

6.  A surface-bound DNA switch driven by a chemical oscillator.

Authors:  Tim Liedl; Michael Olapinski; Friedrich C Simmel
Journal:  Angew Chem Int Ed Engl       Date:  2006-07-24       Impact factor: 15.336

7.  Folding DNA to create nanoscale shapes and patterns.

Authors:  Paul W K Rothemund
Journal:  Nature       Date:  2006-03-16       Impact factor: 49.962

8.  Toward reliable algorithmic self-assembly of DNA tiles: a fixed-width cellular automaton pattern.

Authors:  Kenichi Fujibayashi; Rizal Hariadi; Sung Ha Park; Erik Winfree; Satoshi Murata
Journal:  Nano Lett       Date:  2007-12-28       Impact factor: 11.189

9.  Algorithmic self-assembly of DNA Sierpinski triangles.

Authors:  Paul W K Rothemund; Nick Papadakis; Erik Winfree
Journal:  PLoS Biol       Date:  2004-12-07       Impact factor: 8.029

  9 in total

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