The cell cycle database is a freely available resource developedwith the aim to support systems biology research on the cellcycle. The database aims to become a useful resource for collectingall the information related to actual and future models of thisnetwork.
The added value of our work consists in the annotation of mathematicalmodels, which is achieved through the integration of both themodel objects (species) and protein reports, where the mostrelevant data for each protein are presented in a standard format.
In this way the resource is useful both for retrieving informationabout cell cycle model components and for analyzing their dynamicalproperties. The cell cycle database can be used to find system-levelproperties, such as stable steady states and oscillations, bycoupling structure and dynamical information about models.
We plan to improve the dataset toward the analysis of how genesand proteins interact with each other to highlight the transcriptionalactivation and the feedback loops in the cell cycle network.We will also include the cell cycle information of other highereukaryotes, such as S. pombe and X. laevis, for which mathematicalmodels are already available. Other simulation tools will soonbe available through the web interface to enable more specificanalysis such as the automatic bifurcation identification. Wealso plan to include different modelling approaches, such asPetri nets and Boolean networks, in order to enlarge the simulationpossibilities of this resource.