A multipartite approach for the self-assembly of DNA graph structures

Abstract We consider a graph theory problem motivated by the self-assembly of DNA graph structures using branched junction molecules with flexible arms (called ‘tiles’ in the combinatorial model). More precisely, we want to determine a set of tiles that realizes a target graph G using the minimum number of bond-edge types so that no graph with order smaller than $$\vert V(G)\vert$$ can be realized; the parameter of interest is denoted by $$B_2(G)$$ . We present an approach that provides an upper bound for $$B_2(G)$$ using certain multipartite subgraphs of G . We provide some numerical conditions characterizing such multipartite graphs in terms of the degree of their vertices. Then, we apply our method to the graphs corresponding to the Platonic solids.

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Publication Details

Journal
Natural Computing
Published
2025-10-04
DOI
https://doi.org/10.1007/s11047-025-10053-6
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A multipartite approach for the self-assembly of DNA graph structures

Margherita Maria Ferrari, Simona Bonvicini
Natural Computing
Advanced biosensing and bioanalysis techniques
article

A multipartite approach for the self-assembly of DNA graph structures

Margherita Maria Ferrari, Simona Bonvicini
article en

Abstract

Abstract We consider a graph theory problem motivated by the self-assembly of DNA graph structures using branched junction molecules with flexible arms (called ‘tiles’ in the combinatorial model). More precisely, we want to determine a set of tiles that realizes a target graph G using the minimum number of bond-edge types so that no graph with order smaller than $$\vert V(G)\vert$$ can be realized; the parameter of interest is denoted by $$B_2(G)$$ . We present an approach that provides an upper bound for $$B_2(G)$$ using certain multipartite subgraphs of G . We provide some numerical conditions characterizing such multipartite graphs in terms of the degree of their vertices. Then, we apply our method to the graphs corresponding to the Platonic solids.

Natural ComputingVol. 24(4)
University of Modena and Reggio Emilia (IT), University of Manitoba (CA)
Istituto Nazionale di Alta Matematica "Francesco Severi", Gruppo Nazionale per le Strutture Algebriche, Geometriche e le loro Applicazioni, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 76%
Advanced biosensing and bioanalysis techniques
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