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Abstraction of DNA Graph Structures for Efficient Enumeration and Simulation

Ibuki KawamataFumiaki TanakaMasami Hagiya

2011研究報告数理モデル化と問題解決(MPS)Biochemistry, Genetics and Molecular Biology被引 5

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ion of DNA Graph Structures for Efficient Enumeration and Simulation Ibuki Kawamata, Fumiaki Tanaka, Masami Hagiya Department of Computer Science, Graduate School of Information Science and Technology, University of Tokyo ibuki@is.s.u-tokyo.ac.jp, fumi95@is.s.u-tokyo.ac.jp, hagiya@is.s.u-tokyo.ac.jp Abstract— We propose a graph model of DNA molecules and an abstraction of that model for efficient simulation of molecular systems powered by DNA hybridization. In this paper, we first explain our DNA molecule model composed of graph data structures and highlight the problem of the large number of DNA structures that results. We then define an abstraction of the model, which focuses on local structures of DNA strands, and introduce reactions among the local structures. To verify the effectiveness of the abstraction, we develop simulators for the original and abstract models, and compare the number of structures generated by those simulators. Based on this research, computer-aided design of reaction systems that consist of biological molecules may become easier than conventional designs that rely on human trial and error. We propose a graph model of DNA molecules and an abstraction of that model for efficient simulation of molecular systems powered by DNA hybridization. In this paper, we first explain our DNA molecule model composed of graph data structures and highlight the problem of the large number of DNA structures that results. We then define an abstraction of the model, which focuses on local structures of DNA strands, and introduce reactions among the local structures. To verify the effectiveness of the abstraction, we develop simulators for the original and abstract models, and compare the number of structures generated by those simulators. Based on this research, computer-aided design of reaction systems that consist of biological molecules may become easier than conventional designs that rely on human trial and error.

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Ibuki Kawamata, Fumiaki Tanaka, Masami Hagiya. Abstraction of DNA Graph Structures for Efficient Enumeration and Simulation[J]. 研究報告数理モデル化と問題解決(MPS), 2011.

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