BioModelsapplication/xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=curation_notes.txthttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195.pdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195-biopax3.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195-biopax2.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195_url.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=manifest.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=curation_image.pnghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=metadata.rdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195_url.sedmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195-octave.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195-matlab.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195.pnghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000195?filename=BIOMD0000000195.odeprimaryOK200Nicolas Le NovèreManually curatedordinary differential equation modelL2V3https://www.ebi.ac.uk/biomodels/BIOMD000000019511371178falseBioModelsSBMLModelsTyson2001 Cell Cycle Regulation2001MODEL3897475441Tyson JJ, B NovakTyson JJ11371178, In recent years, molecular biologists have uncovered a wealth of information about the proteins controlling cell growth and division in eukaryotes. The regulatory system is so complex that it defies understanding by verbal arguments alone. Quantitative tools are necessary to probe reliably into the details of cell cycle control. To this end, we convert hypothetical molecular mechanisms into sets of nonlinear ordinary differential equations and use standard analytical and numerical methods to study their solutions. First, we present a simple model of the antagonistic interactions between cyclin-dependent kinases and the anaphase promoting complex, which shows how progress through the cell cycle can be thought of as irreversible transitions (Start and Finish) between two stable states (G1 and S-G2-M) of the regulatory system. Then we add new pieces to the "puzzle" until we obtain reasonable models of the control systems in yeast cells, frog eggs, and cultured mammalian cells.. 2, 210. Department of Biology, Virginian Polytechnic Institute and State University, Blacksburg, VA 24061, USA. tyson@vt.edulenov@ebi.ac.ukEBML-EBIBIOMD0000000195In recent years, molecular biologists have uncovered a wealth of information about the proteins controlling cell growth and division in eukaryotes. The regulatory system is so complex that it defies understanding by verbal arguments alone. Quantitative tools are necessary to probe reliably into the details of cell cycle control. To this end, we convert hypothetical molecular mechanisms into sets of nonlinear ordinary differential equations and use standard analytical and numerical methods to study their solutions. First, we present a simple model of the antagonistic interactions between cyclin-dependent kinases and the anaphase promoting complex, which shows how progress through the cell cycle can be thought of as irreversible transitions (Start and Finish) between two stable states (G1 and S-G2-M) of the regulatory system. Then we add new pieces to the "puzzle" until we obtain reasonable models of the control systems in yeast cells, frog eggs, and cultured mammalian cells.Regulation of the eukaryotic cell cycle: molecular antagonism, hysteresis, and irreversible transitions.Tyson J J JJ, Novak B BfalseTyson2001_Cell_Cycle_Regulation This model describes the budding yeast cell cycle model used in fig 8 a in Regulation of the eukaryotic cell cycle: molecular antagonism, hysteresis, and irreversible transitions. Tyson JJ and Novak B., J Theor Biol 2001 May;210(2):249-63. It consitsts of the equations (2)-(8), with mu=0.005 min -1 . It was taken from Cell Cycle DB ( file ) and only slightly altered. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. 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. 2024-08-212024-09-022008-09-23BIOMD0000000195REACT_152.2REACT_6761.1REACT_6820.1REACT_6954.1REACT_1041.2REACT_9003.1REACT_9005.1map0411111371178MODEL3897475441BIOMD0000000195GO:0051726GO:0005623GO:0000307GO:0016049GO:0010467GO:0008054GO:0030163GO:0045736GO:00009104932P00546P32943P24868P30283P24870P24869P24871P26309P38634P53197P40957P20438P20437IPR015454IPR014399