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An Outline of MP Modeling Framework

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Membrane Computing (CMC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7762))

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Abstract

MP systems concepts will be revisited, in more general terms, by stressing their special role in solving dynamical inverse problems. Then, a main application of MP systems to Systems Biology will be outlined, which concerns gene expression in breast cancer (in cooperation with Karmanos Cancer Institute, Wayne State University, Detroit MI, USA). From recent experimental results developed at KCI, it follows that MP systems can provide ”good” models of pathological phenomena, where good, in this case, means useful to oncologists. In fact, the MP systems methodology has identified previously unknown intermediaries in a breast cancer cell-specific signaling circuit. This could provide a significant contribution to the task of mapping complete oncogenic signaling networks to improve cancer treatments.

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Author information

Authors and Affiliations

  1. University of Verona, Italy

    Vincenzo Manca

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  1. Vincenzo Manca
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Editor information

Editors and Affiliations

  1. Department of Algorithms and Their Applications, Eötvös Loránd University, , ,, Pázmány Péter sétány 1/c, 1117, Budapest, Hungary

    Erzsébet Csuhaj-Varjú

  2. Department of Computer Science, University of Sheffield, 211 Portobello Street, S1 4DP, Sheffield, UK

    Marian Gheorghe

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

    Grzegorz Rozenberg

  4. Turku Centre for Computer Science (TUCS), Leminkaisenkatu 14, 20520, Turku, Finland

    Arto Salomaa

  5. Department of Computer Science, University of Debrecen, Kassai út 26, 4028, Debrecen, Hungary

    György Vaszil

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Manca, V. (2013). An Outline of MP Modeling Framework. In: Csuhaj-Varjú, E., Gheorghe, M., Rozenberg, G., Salomaa, A., Vaszil, G. (eds) Membrane Computing. CMC 2012. Lecture Notes in Computer Science, vol 7762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36751-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-36751-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36750-2

  • Online ISBN: 978-3-642-36751-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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