title: Introductory review of computational cell cycle modeling.
abstract: Recent advances in the modeling of the cell cycle through computer simulation demonstrate the power of systems biology. By definition, systems biology has the goal to connect a parts list, prioritized through experimental observation or high-throughput screens, by the topology of interactions defining intracellular networks to predict system function. Computer modeling of biological systems is often compared to a process of reverse engineering. Indeed, designed or engineered technical systems share many systems-level properties with biological systems; thus studying biological systems within an engineering framework has proven successful. Here we review some aspects of this process as it pertains to cell cycle modeling.
authors.affiliation: School of Biomedical Engineering, Science and Health Systems, Bossone Research Center, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104, USA, andres.kriete@drexel.edu.
authors.forename: Andres
authors.initials: A
authors.lastname: Kriete
authors.forename: Eishi
authors.initials: E
authors.lastname: Noguchi
authors.forename: Christian
authors.initials: C
authors.lastname: Sell
mesh_terms: D000818:Animals; D002453:Cell Cycle; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*