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Computing with Genetic Gates

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Computation and Logic in the Real World (CiE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4497))

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Abstract

We introduce Genetic Systems, a formalism inspired by genetic regulatory networks and suitable for modeling the interactions between the genes and the proteins, acting as regulatory products.

The generation of new objects, representing proteins, is driven by genetic gates: a new object is produced when all the activator objects are available in the system, and no inhibitor object is available. Activators are not consumed by the application of such an evolution rule. Objects disappear because of degradation: each object is equipped with a lifetime, and the object decays when such a lifetime expires.

We investigate the computational expressiveness of Genetic Systems: we show that they are Turing equivalent by providing an encoding of Random Access Machines in Genetic Systems.

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Article Open access 22 November 2023

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Author information

Authors and Affiliations

  1. Dipartimento di Scienze dell’Informazione, Università di Bologna, Mura A. Zamboni 7, I-40127 Bologna, Italy

    Nadia Busi

  2. Dipartimento di Informatica, Sistemistica e Comunicazione, Università di Milano-Bicocca, via Bicocca degli Arcimboldi 8, I-20126, Milano, Italy

    Claudio Zandron

Authors
  1. Nadia Busi
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  2. Claudio Zandron
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Editor information

Editors and Affiliations

  1. Dept. of Pure Mathematics, University of Leeds, LS2 9JT, Leeds, UK

    S. Barry Cooper

  2. Institue for Logic, Language and Computation (ILLC), Universiteit van Amsterdam, Plantage Muidergracht 24, 1018, TV Amsterdam, The Netherlands

    Benedikt Löwe

  3. Dipartimento di Scienze Matematiche ed Informatiche “R. Magari”, University of Siena, 53100, Siena, Italy

    Andrea Sorbi

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© 2007 Springer-Verlag Berlin Heidelberg

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Busi, N., Zandron, C. (2007). Computing with Genetic Gates. In: Cooper, S.B., Löwe, B., Sorbi, A. (eds) Computation and Logic in the Real World. CiE 2007. Lecture Notes in Computer Science, vol 4497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73001-9_11

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  • DOI: https://doi.org/10.1007/978-3-540-73001-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73000-2

  • Online ISBN: 978-3-540-73001-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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