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  • Book
  • © 2014

Applications of Membrane Computing in Systems and Synthetic Biology

  • Presents applications of membrane computing in systems and synthetic biology
  • Collects in an organic way, different facets of the membrane computing paradigm
  • Shows the full potential of the membrane computing framework incl. deterministic, non-deterministic and stochastic systems paired with different algorithms and methodologies
  • Includes supplementary material: sn.pub/extras

Part of the book series: Emergence, Complexity and Computation (ECC, volume 7)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvii
  2. Infobiotics Workbench: A P Systems Based Tool for Systems and Synthetic Biology

    • Jonathan Blakes, Jamie Twycross, Savas Konur, Francisco Jose Romero-Campero, Natalio Krasnogor, Marian Gheorghe
    Pages 1-41
  3. Membrane System-Based Models for Specifying Dynamical Population Systems

    • M. A. Colomer-Cugat, M. García-Quismondo, L. F. Macías-Ramos, M. A. Martínez-del-Amor, I. Pérez-Hurtado, M. J. Pérez–Jiménez et al.
    Pages 97-132
  4. Membrane Systems and Tools Combining Dynamical Structures with Reaction Kinetics for Applications in Chronobiology

    • Thomas Hinze, Jörn Behre, Christian Bodenstein, Gabi Escuela, Gerd Grünert, Petra Hofstedt et al.
    Pages 133-173
  5. Biochemical Networks Discrete Modeling Inspired by Membrane Systems

    • John Jack, Andrei Păun, Mihaela Păun
    Pages 175-221
  6. MP Modelling for Systems Biology: Two Case Studies

    • Luca Marchetti, Vincenzo Manca, Roberto Pagliarini, Aliccia Bollig-Fischer
    Pages 223-245
  7. Modelling and Analysis of E. coli Respiratory Chain

    • Adrian Ţurcanu, Laurenţiu Mierlă, Florentin Ipate, Alin Stefanescu, Hao Bai, Mike Holcombe et al.
    Pages 247-266

About this book

Membrane Computing was introduced as a computational paradigm in Natural Computing. The models introduced, called Membrane (or P) Systems, provide a coherent platform to describe and study living cells as computational systems. Membrane Systems have been investigated for their computational aspects and employed to model problems in other fields, like: Computer Science, Linguistics, Biology, Economy, Computer Graphics, Robotics, etc. Their inherent parallelism, heterogeneity and intrinsic versatility allow them to model a broad range of processes and phenomena, being also an efficient means to solve and analyze problems in a novel way.

Membrane Computing has been used to model biological systems, becoming with time a thorough modeling paradigm comparable, in its modeling and predicting capabilities, to more established models in this area. This book is the result of the need to collect, in an organic way, different facets of this paradigm.

The chapters of this book, together with the web pages accompanying them, present different applications of Membrane Systems to Biology. Deterministic, non-deterministic and stochastic systems paired with different algorithms and methodologies show the full potential of this framework.

The book is addressed to researchers interested in applications of discrete biological models and the interplay between Membrane Systems and other approaches to analyze complex systems.

Editors and Affiliations

  • The School of Mathematical and Computer Sciences, Heriot-Watt University, Eindhoven, United Kingdom

    Pierluigi Frisco

  • The Department of Computer Science, University of Sheffield, Sheffield, United Kingdom

    Marian Gheorghe

  • Department of Computer Science and Artificial Intelligence, University of Sevilla, Sevilla, Spain

    Mario J. Pérez-Jiménez

Bibliographic Information

  • Book Title: Applications of Membrane Computing in Systems and Synthetic Biology

  • Editors: Pierluigi Frisco, Marian Gheorghe, Mario J. Pérez-Jiménez

  • Series Title: Emergence, Complexity and Computation

  • DOI: https://doi.org/10.1007/978-3-319-03191-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-03190-3Published: 07 January 2014

  • Softcover ISBN: 978-3-319-38097-1Published: 03 September 2016

  • eBook ISBN: 978-3-319-03191-0Published: 17 December 2013

  • Series ISSN: 2194-7287

  • Series E-ISSN: 2194-7295

  • Edition Number: 1

  • Number of Pages: XVII, 266

  • Number of Illustrations: 39 b/w illustrations, 61 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Complexity

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access