The power of modelization in physics and in engineering is not in doubt, while in the biotechnological field many theoretical studies stop at the description level. It is time for theoretical modelization to enter the field of biotechnology, and that needs people with both physical and biological knowledge.This book introduces interested scientists with varied backgrounds to active research in different areas broadly related to what has come to be called "dynamical modeling in biology".
Cellular automata, F. Bagnoli; Barolo - biological ageing research on long-lived organisms, D. Stauffer; bacterial translation modelling and statistical mechanics, G. Guasti; automata network models in ecology and epidemiology, N. Boccara; formal neural networks - an introduction to supervised learning and a selected bibliography, J.-P. Nadal; dynamical systems, qualitative theory, and simulation, A. Pikovski; nonlinear excitations and energy localization -applications to molecular biology, M. Peyrard; the immune system, and why modelling it makes sense, F. Celada; immune system modelling, M. Bezzi; discrete models for simulating biological systems, P.E. Seiden; modelling TH1-TH2 regulation, allergy and hyposensitization, U. Behn et al. (Part contents)