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10.1021/jacs.7b00632 http://scihub22266oqcxt.onion/10.1021/jacs.7b00632 C5481813!5481813!28582616     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Am+Chem+Soc 2017 ; 139 (24): 8146-51 Nephropedia Template TP {{tp|p=28582616|t=2017. Molecular Engineering of Robustness and Resilience in Enzymatic Reaction Networks |pdf=|usr=}}{{28582616}} gab.com Text Molecular Engineering of Robustness and Resilience in Enzymatic Reaction Networks JO: J Am Chem Soc http://www.kidney.de/pget.php?&tw=1&pmid=28582616 #FOAvip Living systems rely on complex networks of chemical reactions to control the concentrations of molecules in space and time. Despite the enormous complexity in biological networks, it is possible to identify network motifs that lead to functional outputs such as bistability or oscillations. One of the greatest challenges in chemistry is the creation of such functionality from chemical reactions. A key limitation is our lack of understanding of how molecular structure impacts on the dynamics of chemical reaction networks, preventing the design of networks that are robust (i.e., function in a large parameter space) and resilient (i.e., reach their out-of-equilibrium function rapidly). Here we demonstrate that reaction rates of individual reactions in the network can control the dynamics by which the system reaches limit cycle oscillations, thereby gaining information on the key parameters that govern the dynamics of these networks. We envision that these principles will be incorporated into the design of network motifs, enabling chemists to develop ?molecular software? to create functional behavior in chemical systems. Twit Text FOAVip Molecular Engineering of Robustness and Resilience in Enzymatic Reaction Networks ????J Am Chem Soc http://www.kidney.de/pget.php?&tw=1&pmid=28582616 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28582616 #FOAvip English Wikipedia <ref>{{Cite pmid|28582616}}</ref> Molecular Engineering of Robustness and Resilience in Enzymatic Reaction Networks #MMPMID28582616 Wong ASY; Pogodaev AA; Vialshin IN; Helwig B; Huck WTS J Am Chem Soc 2017[Jun]; 139 (24): 8146-51 PMID28582616show ga Living systems rely on complex networks of chemical reactions to control the concentrations of molecules in space and time. Despite the enormous complexity in biological networks, it is possible to identify network motifs that lead to functional outputs such as bistability or oscillations. One of the greatest challenges in chemistry is the creation of such functionality from chemical reactions. A key limitation is our lack of understanding of how molecular structure impacts on the dynamics of chemical reaction networks, preventing the design of networks that are robust (i.e., function in a large parameter space) and resilient (i.e., reach their out-of-equilibrium function rapidly). Here we demonstrate that reaction rates of individual reactions in the network can control the dynamics by which the system reaches limit cycle oscillations, thereby gaining information on the key parameters that govern the dynamics of these networks. We envision that these principles will be incorporated into the design of network motifs, enabling chemists to develop ?molecular software? to create functional behavior in chemical systems. äMolecular Engineering of Robustness and Resilience in Enzymatic Reacti(epmc).pdf DeepDyve Pubget Overpricing