Quantitative dynamic modelling of signaling networks helps to understand complex signal transduction processes, but it depends heavily on known mechanistic details and kinetic parameters.
Kinship is central to models of signalling between relatives, for instance when broods of nestling birds beg and compete for food from their parents.
Furthermore, most computational models of signalling pathways relate to events in a 'typical' cell.
Charusanti et al (2004) presented a mathematical model of signalling events in CML cells.
We implemented our strategy in the software COPASI and show its applicability on two different models of mitogen-activated kinases (MAPK) signalling -- one generic model of extracellular signal-regulated kinases (ERK) and one model of signalling via p38 MAPK.
Here, we consider models of signalling though the erythropoietin receptor (EpoR), transduced by STAT5 (Fig. 4a) (Darnell, 1997; Horvath, 2000).
Linking models of signalling to transcriptional networks would allow to integrate proteomics and gene-expression data, but how to best achieve this is still an open question [ 55].
Knepper's lab builds models of signaling networks by identifying specific protein kinases and phosphatases.
An excellent review regarding the modeling of signaling pathways was elaborated by Aldridge et al. (2006).
