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Computational Power of Protein Networks

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Membrane Computing (CMC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10105))

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Abstract

Cell biology provides useful ideas to computer scientists in order to construct models which can provide more efficient computations. In this paper we prove that an abstract model of protein-protein interaction derived from membrane computing has the same computational power as a Turing machine by using a rather small number of proteins having at most length two, where length is an abstract measure of complexity.

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Correspondence to Bogdan Aman .

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Aman, B., Ciobanu, G. (2017). Computational Power of Protein Networks. In: Leporati, A., Rozenberg, G., Salomaa, A., Zandron, C. (eds) Membrane Computing. CMC 2016. Lecture Notes in Computer Science(), vol 10105. Springer, Cham. https://doi.org/10.1007/978-3-319-54072-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-54072-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54071-9

  • Online ISBN: 978-3-319-54072-6

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