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10.1186/s12915-015-0158-9 http://scihub22266oqcxt.onion/10.1186/s12915-015-0158-9 C4486427!4486427!26129844     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Biol 2015 ; 13 (ä): ä Nephropedia Template TP {{tp|p=26129844|t=2015. Models in biology: lessons from modeling regulation of the eukaryotic cell cycle |pdf=|usr=}}{{26129844}} gab.com Text Models in biology: lessons from modeling regulation of the eukaryotic cell cycle JO: BMC Biol http://www.kidney.de/pget.php?&tw=1&pmid=26129844 #FOAvip In this essay we illustrate some general principles of mathematical modeling in biology by our experiences in studying the molecular regulatory network underlying eukaryotic cell division. We discuss how and why the models moved from simple, parsimonious cartoons to more complex, detailed mechanisms with many kinetic parameters. We describe how the mature models made surprising and informative predictions about the control system that were later confirmed experimentally. Along the way, we comment on the ?parameter estimation problem? and conclude with an appeal for a greater role for mathematical models in molecular cell biology. Twit Text FOAVip Models in biology: lessons from modeling regulation of the eukaryotic cell cycle ????BMC Biol http://www.kidney.de/pget.php?&tw=1&pmid=26129844 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26129844 #FOAvip English Wikipedia <ref>{{Cite pmid|26129844}}</ref> Models in biology: lessons from modeling regulation of the eukaryotic cell cycle #MMPMID26129844 Tyson JJ; Novák B BMC Biol 2015[]; 13 (ä): ä PMID26129844show ga In this essay we illustrate some general principles of mathematical modeling in biology by our experiences in studying the molecular regulatory network underlying eukaryotic cell division. We discuss how and why the models moved from simple, parsimonious cartoons to more complex, detailed mechanisms with many kinetic parameters. We describe how the mature models made surprising and informative predictions about the control system that were later confirmed experimentally. Along the way, we comment on the ?parameter estimation problem? and conclude with an appeal for a greater role for mathematical models in molecular cell biology. äModels in biology: lessons from modeling regulation of the eukaryotic (epmc).pdf DeepDyve Pubget Overpricing