%0 Book Section %1 kriete2014introductory %A Kriete, Andres %A Noguchi, Eishi %A Sell, Christian %B Cell Cycle Control: Mechanisms and Protocols %C New York, NY %D 2014 %E Noguchi, Eishi %E Gadaleta, Mariana C. %I Springer New York %K cellcycle %P 267--275 %R 10.1007/978-1-4939-0888-2_12 %T Introductory Review of Computational Cell Cycle Modeling %U https://doi.org/10.1007/978-1-4939-0888-2_12 %X 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. %@ 978-1-4939-0888-2

@inbook{kriete2014introductory, 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.}, added-at = {2017-11-26T00:30:33.000+0100}, address = {New York, NY}, author = {Kriete, Andres and Noguchi, Eishi and Sell, Christian}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2647f6c8c303d9539c59cf22817ff8f41/robingarcia}, booktitle = {Cell Cycle Control: Mechanisms and Protocols}, doi = {10.1007/978-1-4939-0888-2_12}, editor = {Noguchi, Eishi and Gadaleta, Mariana C.}, interhash = {4275d19c6d8bff0f3826ba7929760632}, intrahash = {647f6c8c303d9539c59cf22817ff8f41}, isbn = {978-1-4939-0888-2}, keywords = {cellcycle}, pages = {267--275}, publisher = {Springer New York}, timestamp = {2017-11-25T23:30:33.000+0100}, title = {Introductory Review of Computational Cell Cycle Modeling}, url = {https://doi.org/10.1007/978-1-4939-0888-2_12}, year = 2014 }