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10.1016/j.bpj.2016.07.036 http://scihub22266oqcxt.onion/10.1016/j.bpj.2016.07.036 C5018143!5018143 !27602735     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27602735 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Biophys+J 2016 ; 111 (5 ): 1078-87 Nephropedia Template TP {{tp|p=27602735 |t=2016. Criticality and Adaptivity in Enzymatic Networks |pdf=|usr=}}{{27602735 }} gab.com Text Criticality and Adaptivity in Enzymatic Networks JO: Biophys J http://www.kidney.de/pget.php?&tw=1&pmid=27602735 #FOAvip The contrast between the stochasticity of biochemical networks and the regularity of cellular behavior suggests that biological networks generate robust behavior from noisy constituents. Identifying the mechanisms that confer this ability on biological networks is essential to understanding cells. Here we show that queueing for a limited shared resource in broad classes of enzymatic networks in certain conditions leads to a critical state characterized by strong and long-ranged correlations between molecular species. An enzymatic network reaches this critical state when the input flux of its substrate is balanced by the maximum processing capacity of the network. We then consider enzymatic networks with adaptation, when the limiting resource (enzyme or cofactor) is produced in proportion to the demand for it. We show that the critical state becomes an attractor for these networks, which points toward the onset of self-organized criticality. We suggest that the adaptive queueing motif that leads to significant correlations between multiple species may be widespread in biological systems. Twit Text FOAVip Criticality and Adaptivity in Enzymatic Networks ????Biophys J http://www.kidney.de/pget.php?&tw=1&pmid=27602735 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27602735 #FOAvip English Wikipedia <ref>{{Cite pmid|27602735 }}</ref> Criticality and Adaptivity in Enzymatic Networks #MMPMID27602735 Steiner PJ ; Williams RJ ; Hasty J ; Tsimring LS Biophys J 2016[Sep]; 111 (5 ): 1078-87 PMID27602735 show ga The contrast between the stochasticity of biochemical networks and the regularity of cellular behavior suggests that biological networks generate robust behavior from noisy constituents. Identifying the mechanisms that confer this ability on biological networks is essential to understanding cells. Here we show that queueing for a limited shared resource in broad classes of enzymatic networks in certain conditions leads to a critical state characterized by strong and long-ranged correlations between molecular species. An enzymatic network reaches this critical state when the input flux of its substrate is balanced by the maximum processing capacity of the network. We then consider enzymatic networks with adaptation, when the limiting resource (enzyme or cofactor) is produced in proportion to the demand for it. We show that the critical state becomes an attractor for these networks, which points toward the onset of self-organized criticality. We suggest that the adaptive queueing motif that leads to significant correlations between multiple species may be widespread in biological systems. |*Models, Molecular [MESH] |Algorithms [MESH] |Computer Simulation [MESH] |Enzymes/chemistry/*metabolism [MESH]Criticality and Adaptivity in Enzymatic Networks (epmc).pdf DeepDyve Pubget Overpricing