{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9"],"submitter":["Lucian Smith"],"journal":["PloS one"],"pagination":["e97130"],"species":["Homo sapiens"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/MODEL1811220001"],"repository":["biostudies-other"],"additional_accession":["24824602"],"pubmed_authors":["Lucian Smith","Ashley Xavier"]},"is_claimable":false,"name":"Weis2014 - Data driven Mammalian Cell Cycle Model","description":"

This a model from the article:
A Data-Driven, Mathematical Model of Mammalian Cell Cycle Regulation.
Michael C. Weis, Jayant Avva, James W. Jacobberger, Sree N. Sreenath PLoS ONE 2014 May 13: 9(5): e97130 24824602 ,
Abstract:
Progression of a cell through the division cycle is tightly controlled at different steps to ensure the integrity of genomereplication and partitioning to daughter cells. From published experimental evidence, we propose a molecularmechanism for control of the cell division cycle in Caulobacter crescentus. The mechanism, which is based on thesynthesis and degradation of three ‘‘master regulator’’ proteins (CtrA, GcrA, and DnaA), is converted into a quantitativemodel, in order to study the temporal dynamics of these and other cell cycle proteins. The model accounts forimportant details of the physiology, biochemistry, and genetics of cell cycle control in stalked C. crescentus cell. Itreproduces protein time courses in wild-type cells, mimics correctly the phenotypes of many mutant strains, andpredicts the phenotypes of currently uncharacterized mutants. Since many of the proteins involved in regulating thecell cycle of C. crescentus are conserved among many genera of a-proteobacteria, the proposed mechanism may beapplicable to other species of importance in agriculture and medicine.

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To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

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