technical report Inferring the kinetic constants of cyclin-triggered Cdc20 gene expression from mRNA experimental time-course data


Cell cycle control models used in biology involve complex biochemical kinetics of proteins, proteins kinases, and regulatory subunits, and many parameters with unknown values. The values of the parameters strongly affect the dynamics of the system and the accuracy of its model in representing the real biological behavior. Post-transcriptional mechanisms involving gene transcripts and proteins are key processes for the cell cycle control machinery. In this paper we describe how to model and infer from micro-array data, the cyclin-induced oscillations of the Cdc20 transcript, that codes for the cyclin antagonist in the cell cycle control network.

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P. Lecca,  A. Palmisano