On a Formal Model of the T Cell and Its Biological Feedback

On a Formal Model of the T Cell and Its Biological Feedback

Gabriel Ciobanu (Romanian Academy, Iasi, Romania)
Copyright: © 2005 |Pages: 19
DOI: 10.4018/978-1-59140-333-3.ch008
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Abstract

In this chapter a model of the molecular networks, created by using a network of communicating automata, is described as a dynamic structure, discrete event system, and interesting theoretical results are provided. This formal model provides a detailed approach of the biological system, and its implementation is able to handle large amounts of data. This model is applied to T cell signalling networks. T cell shows a hierarchical organization depending on various factors. Some mechanisms are still unresolved, including contribution of each signalling pathway to each response type. The software tool produced is used to simulate and analyze the T cell behaviour. The simulation reflects, quite faithfully, the process of T cell activation and T cell responses. This increases the confidence in using this model and its implementation both as descriptive and prescriptive tools. The interactions that govern the T cell behaviour are simulated and analyzed, providing statistical correlations according to software experiments, together with new insights on signalling networks that trigger immunological responses. The software tool allows users to systematically perturb and monitor the components of a T cell molecular network, capturing biological information relevant to immunology.

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Dedication
Table of Contents
Acknowledgments
Marian Gheorghe
Chapter 1
Gheorghe Paun
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Chapter 2
Vincenzo Manca, Giuditta Franco, Giuseppe Scollo
Classical dynamics concepts are analysed in the basic mathematical setting of state transition systems where time and space are both completely... Sample PDF
State Transition Dynamics: Basic Concepts and Molecular Computing Perspectives
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Chapter 3
Lila Kari, Elena Losseva, Petr Sosik
This chapter looks at the question of managing errors that arise in DNA-based computation. Due to the inaccuracy of biochemical reactions, the... Sample PDF
DNA Computing and Errors: A Computer Science Perspective
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Chapter 4
Carlos Martin-Vide, Victor Mitrana
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Networks of Evolutionary Processors: Results and Perspectives
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Chapter 5
Andrés Cordón-Franco, Miguel A. Gutiérrez-Naranjo, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez
This chapter is devoted to the study of numerical NP-complete problems in the framework of cellular systems with membranes, also called P systems... Sample PDF
Cellular Solutions to Some Numerical NP-Complete Problems: A Prolog Implementation
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Chapter 6
Jean-Louis Giavitto, Olivier Michel
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Modeling Development Processes in MGS
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Chapter 7
Richard Gergory, Richard Vlachos, Ray C. Paton, John W. Palmer, Q. H. Wu, Jon R. Saunders
This chapter describes two approaches to individual-based modelling that are based on bacterial evolution and bacterial ecologies. Some history of... Sample PDF
Computing Bacterial Evolvability Using Individual-Based Models
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Chapter 8
Gabriel Ciobanu
In this chapter a model of the molecular networks, created by using a network of communicating automata, is described as a dynamic structure... Sample PDF
On a Formal Model of the T Cell and Its Biological Feedback
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Chapter 9
Petros Kefalas, G. Eleftherakis, I. Stamatopoulou
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