DNA Tile Self-Assembly for 3D-Surfaces: Towards Genus Identification - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

DNA Tile Self-Assembly for 3D-Surfaces: Towards Genus Identification

Résumé

We introduce a new DNA tile self-assembly model: the Surface Flexible Tile Assembly Model (SFTAM), where 2D tiles are placed on host 3D surfaces made of axis-parallel unit cubes glued together by their faces, called polycubes. The bonds are flexible, so that the assembly can bind on the edges of the polycube. We are interested in the study of SFTAM self-assemblies on 3D surfaces which are not always embeddable in the Euclidean plane, in order to compare their different behaviors and to compute the topological properties of the host surfaces. We focus on a family of polycubes called order-1 cuboids. Order-0 cuboids are polycubes that have six rectangular faces, and order-1 cuboids are made from two order-0 cuboids by substracting one from the other. Thus, order-1 cuboids can be of genus 0 or of genus 1 (then they contain a tunnel). We are interested in the genus of these structures, and we present a SFTAM tile assembly system that determines the genus of a given order-1 cuboid. The SFTAM tile assembly system which we design, contains a specific set Y of tile types with the following properties. If the assembly is made on a host order-1 cuboid C of genus 0, no tile of Y appears in any producible assembly, but if C has genus 1, every terminal assembly contains at least one tile of Y. Thus, for order-1 cuboids our system is able to distinguish the host surfaces according to their genus, by the tiles used in the assembly. This system is specific to order-1 cuboids but we can expect the techniques we use to be generalizable to other families of shapes.
Fichier non déposé

Dates et versions

hal-04225512 , version 1 (02-10-2023)

Identifiants

Citer

Florent Becker, Shahrzad Heydarshahi. DNA Tile Self-Assembly for 3D-Surfaces: Towards Genus Identification. 29th International Conference on DNA Computing and Molecular Programming, DNA 2023, Sep 2023, Sendai, Japan. ⟨10.4230/LIPIcs.DNA.29.2⟩. ⟨hal-04225512⟩
21 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More