On the use of stochastic Petri nets in the analysis of signal
transduction pathways for angiogenesis process
L. Napione, D. Manini, F. Cordero, A. Horváth, A. Picco, M. De Pierro,
S. Pavan, M. Sereno, A. Veglio, F. Bussolino, and G. Balbo
In this paper we consider the modeling of a selected portion of signal
transduction events involved in the angiogenesis process. The detailed model of
this process contains a large number of parameters and the data available from
wet-lab experiments are not sufficient to obtain reliable estimates for all of them.
To overcome this problem, we suggest ways to simplify the detailed representation
that result in models with a smaller number of parameters still capturing the
overall behaviour of the detailed one.
Starting from a detailed stochastic Petri net (SPN) model that accounts for
all the reactions of the signal transduction cascade, using structural properties
combined with the knowledge of the biological phenomena, we propose a set of
András Horváth, 2009-08-24