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[[CytoSolve]] - developed by [[Shiva Ayyadurai|V. A. Shiva Ayyadurai]] and C. Forbes Dewey, Jr. of Department of Biological Engineering at the [[Massachusetts Institute of Technology]] - provided a method to model the whole cell by dynamically integrating multiple molecular pathway models. ."<ref>{{cite journal |last1=Al-Lazikani |first1=Bissan|last2=Banerji |first2=Udai | last3=Workman |first3=Paul |year=2012 |title= Combinatorial drug therapy for cancer in the post-genomic era|journal=Nature Biotechnology |volume=30 |issue= 7|pages=679–692 |publisher=Nature |doi= 10.1038/nbt.2284|url= |pmid=22781697}}<!--|accessdate=14 February 2013 --></ref><ref>{{Cite journal| last1=Ayyadurai| first1=VA Shiva|first2=C. Forbes|last2=Dewey|accessdate=22 March 2013|journal=Cell Mol Bioeng.|date=March 2011|volume=4|issue=1|pages=28–45|doi=10.1007/s12195-010-0143-x|title=CytoSolve: A Scalable Computational Method for Dynamic Integration of Multiple Molecular Pathway Models|publisher=Springer|pmid=21423324|pmc=3032229}}</ref>
In the July 2012 issue of [[Cell (journal)|''Cell'']], a team led by Markus Covert at Stanford published the most complete computational model of a cell to date. The model of the roughly 500-gene ''[[Mycoplasma genitalium]]'' contains 28 algorithmically-independent components incorporating work from over 900 sources. It accounts for interactions of the complete genome, transcriptome, proteome, and metabolome of the organism, marking a significant advancement for the field.<ref>http://covertlab.stanford.edu/publicationpdfs/mgenitalium_whole_cell_2012_07_20.pdf{{dead link|date=November 2016 |bot=InternetArchiveBot |fix-attempted=yes }}</ref><ref>http://news.stanford.edu/news/2012/july/computer-model-organism-071812.html</ref>
Most attempts at modeling cell cycle processes have focused on the broad, complicated molecular interactions of many different chemicals, including several [[cyclin]] and [[cyclin-dependent kinase]] molecules as they correspond to the [[S phase|S]], [[M phase|M]], [[G1 phase|G1]] and [[G2 phase|G2]] phases of the [[cell cycle]]. In a 2014 published article in PLOS computational biology, collaborators at [[University of Oxford]], [[Virginia Tech]] and Institut de Génétique et Développement de Rennes produced a simplified model of the cell cycle using only one cyclin/CDK interaction. This model showed the ability to control totally functional [[cell division]] through regulation and manipulation only the one interaction, and even allowed researchers to skip phases through varying the concentration of CDK. <ref>{{Cite journal|title = Cell Cycle Control by a Minimal Cdk Network|url = http://dx.doi.org/10.1371/journal.pcbi.1004056|journal = PLoS Comput Biol|date = 2015-02-06|pmc = 4319789|pmid = 25658582|pages = e1004056|volume = 11|issue = 2|doi = 10.1371/journal.pcbi.1004056|first = Claude|last = Gérard|first2 = John J.|last2 = Tyson|first3 = Damien|last3 = Coudreuse|first4 = Béla|last4 = Novák}}</ref> This model could help understand how the relatively simple interactions of one chemical translate to a cellular level model of cell division.
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