Signal transduction pathways describe the dynamics of cellular response to input signalling molecules at receptors on the cell membrane. The Mitogen-Activated Protein Kinase (MAPK) cascade is one of such pathways that are involved in many important cellular processes including cell growth and proliferation. This paper describes a black-box model of this pathway created using an advanced two-stage identification algorithm. Identification allows us to capture the unique features and dynamics of the pathway and also opens up the possibility of regulatory control design. In the approach described, an optimal model is obtained by performing model subset selection in two stages, where the terms are first determined by a forward selection method and then modified using a backward selection model refinement. The simulation results demonstrate that the model selected using the two-stage algorithm performs better than with the forward selection method alone.
|Title of host publication||Proceedings of International Conference on Life System Modeling and Simulation (LSMS)|
|Number of pages||12|
|Publication status||Published - Sep 2007|
|Event||International Conference on Life System Modeling and Simulation (LSMS) - Shanghai, China|
Duration: 01 Sep 2007 → 01 Sep 2007
|Conference||International Conference on Life System Modeling and Simulation (LSMS)|
|Period||01/09/2007 → 01/09/2007|