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Programming Living Machines: The Case Study of Escherichia Coli

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8608))

Abstract

In 1952, Turing outlined computational processes in the morphogenesis [8], thus thinking of the biological evolution of an organism as a consequence of the computation that it can perform. Following Turing’s idea on morphogenesis, many biological processes have been recently analysed from a computational standpoint. In 1995, Bray [2] argued that a single protein is a computational or information carrying element, being able to convert input signals into an output signal. Evolution had already been associated with computation many years before, by von Neumann and Burks [9], who constructed a self-replicating cellular automaton with the aim of developing synthetic models of a living organism. Starting from this concept, in this work we propose a relation between computation and metabolism.

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References

  1. Angione, C., et al.: Computing with metabolic machines. In: Voronkov, A. (ed.) Turing-100. EPiC Series, vol. 10, pp. 1–15 (2012)

    Google Scholar 

  2. Bray, D., et al.: Protein molecules as computational elements in living cells. Nature 376(6538), 307–312 (1995)

    Article  Google Scholar 

  3. Costanza, J., et al.: Robust design of microbial strains. Bioinformatics 28(23), 3097–3104 (2012)

    Article  Google Scholar 

  4. Cutello, V., Narzisi, G., Nicosia, G.: A class of pareto archived evolution strategy algorithms using immune inspired operators for ab-initio protein structure prediction. In: Rothlauf, F., et al. (eds.) EvoWorkshops 2005. LNCS, vol. 3449, pp. 54–63. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Cutello, V., et al.: A multi-objective evolutionary approach to the protein structure prediction problem. Journal of the Royal Society Interface 3(6), 139–151 (2006)

    Article  Google Scholar 

  6. Orth, J.D., et al.: A comprehensive genome-scale reconstruction of Escherichia coli metabolism-2011. Molecular Systems Biology 77(Article number 535), 1–9 (2011)

    Google Scholar 

  7. Reed, J., et al.: An expanded genome-scale model of escherichia coli k-12 (ijr904 gsm/gpr). Genome Biology 4(9), R54 (2003)

    Google Scholar 

  8. Turing, A.M.: The chemical basis of morphogenesis. Bulletin of mathematical biology 52(1), 153–197 (1990)

    Article  Google Scholar 

  9. Von Neumann, J., Burks, A.W., et al.: Theory of self-reproducing automata (1966)

    Google Scholar 

  10. Yim, H.R., et al.: Metabolic engineering of escherichia coli for direct production of 1,4-butanediol. Nature Chemical Biology 7(7), 445–452 (2011)

    Article  Google Scholar 

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© 2014 Springer International Publishing Switzerland

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Costanza, J., Zammataro, L., Nicosia, G. (2014). Programming Living Machines: The Case Study of Escherichia Coli . In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2014. Lecture Notes in Computer Science(), vol 8608. Springer, Cham. https://doi.org/10.1007/978-3-319-09435-9_35

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  • DOI: https://doi.org/10.1007/978-3-319-09435-9_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09434-2

  • Online ISBN: 978-3-319-09435-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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