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Inference with DNA Molecules

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Unconventional Computation (UC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6079))

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Abstract

We have designed a simple model that implement the inference rules Modus Ponens and Modus Tollens using DNA. The model is inspired by [1,2], but implemented using DNA strand displacement as a reinterpretation of [3,4]. Our work introduces two main differences from [1]: absence of restriction enzymes, and explicit representation of the logical negation by using a Watson-Crick complementary strand.

Research was partially supported by project BACTOCOM funded by grant from the European Commission, Spanish MICINN under project TIN2009-14421, Comunidad de Madrid and Universidad Politécnica de Madrid.

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References

  1. Ran, T., Kaplan, S., Shapiro, E.: Molecular implementation of simple logic programs. Nature Nanotech 4(10), 642–648 (2009)

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  2. Benenson, Y., Gil, B., Ben-Dor, U., Adar, R., Shapiro, E.: An autonomous molecular computer for logical control of gene expression. Nature (2004)

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  3. Seelig, G., Soloveichik, D., Zhang, D.Y., Winfree, E.: Enzyme-free nucleic acid logic circuits. Science 314(5805), 1585–1588 (2006)

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  4. Takahashi, K., Yaegashi, S., Kameda, A., Hagiya, M.: Chain reaction systems based on loop dissociation of DNA. In: Carbone, A., Pierce, N.A. (eds.) DNA 2005. LNCS, vol. 3892, pp. 347–358. Springer, Heidelberg (2006)

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Author information

Authors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Alfonso Rodríguez-Patón, José María Larrea & Iñaki Sainz de Murieta

Authors
  1. Alfonso Rodríguez-Patón
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  2. José María Larrea
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  3. Iñaki Sainz de Murieta
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Editor information

Editors and Affiliations

  1. Department of Computer Science, The University of Auckland, Science Centre, 38 Princes Street, 1142, Auckland, New Zealand

    Cristian S. Calude

  2. Graduate School of Information Science and Technology, Department of Computer Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Tokyo, Japan

    Masami Hagiya

  3. Graduate School of Engineering, Department of Information Engineering, Hiroshima University, 739-8527, Higashi-Hiroshima, Japan

    Kenichi Morita

  4. Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Niels Bohrweg 1, 2333, Leiden, CA, The Netherlands

    Grzegorz Rozenberg

  5. Department of Computer Science and Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jon Timmis

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Rodríguez-Patón, A., Larrea, J.M., Sainz de Murieta, I. (2010). Inference with DNA Molecules. In: Calude, C.S., Hagiya, M., Morita, K., Rozenberg, G., Timmis, J. (eds) Unconventional Computation. UC 2010. Lecture Notes in Computer Science, vol 6079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13523-1_25

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  • DOI: https://doi.org/10.1007/978-3-642-13523-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13522-4

  • Online ISBN: 978-3-642-13523-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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