An Approach to the Engineering of Cellular Models Based on P Systems

  • Authors:
  • Francisco J. Romero-Campero;Natalio Krasnogor

  • Affiliations:
  • Automated Scheduling, Optimisation and Planning Research Group School of Computer Science, University of Nottingham, Nottingham, United Kingdom NG8 1BB;Automated Scheduling, Optimisation and Planning Research Group School of Computer Science, University of Nottingham, Nottingham, United Kingdom NG8 1BB

  • Venue:
  • CiE '09 Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Living cells assembled into colonies or tissues communicate using complex systems . These systems consist in the interaction between many molecular species distributed over many compartments. Among the different cellular processes used by cells to monitor their environment and respond accordingly, gene regulatory networks, rather than individual genes, are responsible for the information processing and orchestration of the appropriate response [16]. In this respect, synthetic biology has emerged recently as a novel discipline aiming at unravelling the design principles in gene regulatory systems by synthetically engineering transcriptional networks which perform a specific and prefixed task [2]. Formal modelling and analysis are key methodologies used in the field to engineer, assess and compare different genetic designs or devices.