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Modeling Signal Transduction Using P Systems

  • Andrei Păun
  • Mario J. Pérez-Jiménez
  • Francisco J. Romero-Campero
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4361)

Abstract

Cellular signalling pathways are fundamental to the control and regulation of cell behavior. Understanding of biosignalling network functions is crucial to the study of different diseases and to the design of effective therapies. In this paper we present P systems as a feasible computational modeling tool for cellular signalling pathways that takes into consideration the discrete character of the components of the system and the key role played by membranes in their functioning. We illustrate these cellular models simulating the epidermal growth factor receptor (EGFR) signalling cascade and the FAS–induced apoptosis using a deterministic strategy for the evolution of P systems.

Keywords

Epidermal Growth Factor Receptor Epidermal Growth Factor Epidermal Growth Factor Receptor Signalling Cellular Signalling Pathway Membrane Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Andrei Păun
    • 1
  • Mario J. Pérez-Jiménez
    • 2
  • Francisco J. Romero-Campero
    • 2
  1. 1.Department of Computer Science/IfMLouisiana Tech UniversityRustonUSA
  2. 2.Department of Computer Science and Artificial IntelligenceUniversity of SevillaSevillaSpain

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