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Geometrical Tile Design for Complex Neighborhoods

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 ti...

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Detalles Bibliográficos
Autores principales: Czeizler, Eugen, Kari, Lila
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2786297/
https://www.ncbi.nlm.nih.gov/pubmed/19956398
http://dx.doi.org/10.3389/neuro.10.020.2009
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author Czeizler, Eugen
Kari, Lila
author_facet Czeizler, Eugen
Kari, Lila
author_sort Czeizler, Eugen
collection PubMed
description 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 × 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 × (2k + 1) rectangle.
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spelling pubmed-27862972009-12-02 Geometrical Tile Design for Complex Neighborhoods Czeizler, Eugen Kari, Lila Front Comput Neurosci Neuroscience 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 × 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 × (2k + 1) rectangle. Frontiers Research Foundation 2009-11-23 /pmc/articles/PMC2786297/ /pubmed/19956398 http://dx.doi.org/10.3389/neuro.10.020.2009 Text en Copyright © 2009 Czeizler and Kari. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
Czeizler, Eugen
Kari, Lila
Geometrical Tile Design for Complex Neighborhoods
title Geometrical Tile Design for Complex Neighborhoods
title_full Geometrical Tile Design for Complex Neighborhoods
title_fullStr Geometrical Tile Design for Complex Neighborhoods
title_full_unstemmed Geometrical Tile Design for Complex Neighborhoods
title_short Geometrical Tile Design for Complex Neighborhoods
title_sort geometrical tile design for complex neighborhoods
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2786297/
https://www.ncbi.nlm.nih.gov/pubmed/19956398
http://dx.doi.org/10.3389/neuro.10.020.2009
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