Applications of Membrane Computing in Systems and Synthetic Biology

  • Pierluigi Frisco
  • Marian Gheorghe
  • Mario J. Pérez-Jiménez

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

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Jonathan Blakes, Jamie Twycross, Savas Konur, Francisco Jose Romero-Campero, Natalio Krasnogor, Marian Gheorghe
    Pages 1-41
  3. 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. Thomas Hinze, Jörn Behre, Christian Bodenstein, Gabi Escuela, Gerd Grünert, Petra Hofstedt et al.
    Pages 133-173
  5. John Jack, Andrei Păun, Mihaela Păun
    Pages 175-221
  6. Luca Marchetti, Vincenzo Manca, Roberto Pagliarini, Aliccia Bollig-Fischer
    Pages 223-245
  7. 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.



Complex Systems Membrane Computing Membrane Systems Natural Computing Systems and Synthetic Biology

Editors and affiliations

  • Pierluigi Frisco
    • 1
  • Marian Gheorghe
    • 2
  • Mario J. Pérez-Jiménez
    • 3
  1. 1.The School of Mathematical and Computer SciencesHeriot-Watt UniversityEindhovenUnited Kingdom
  2. 2.The Department of Computer ScienceUniversity of SheffieldSheffieldUnited Kingdom
  3. 3.Department of Computer Science and Artificial IntelligenceUniversity of SevillaSevillaSpain

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-03190-3
  • Online ISBN 978-3-319-03191-0
  • Series Print ISSN 2194-7287
  • Series Online ISSN 2194-7295
  • About this book