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http://scihub22266oqcxt.onion/ C4477872!4477872!25679649     free     free     free       Phys+Rev+E+Stat+Nonlin+Soft+Matter+Phys 2015 ; 91 (1): 012714 Nephropedia Template TP {{tp|p=25679649|t=2015. Quasispecies Theory for Evolution of Modularity |pdf=|usr=}}{{25679649}} gab.com Text Quasispecies Theory for Evolution of Modularity JO: Phys Rev E Stat Nonlin Soft Matter Phys http://www.kidney.de/pget.php?&tw=1&pmid=25679649 #FOAvip Biological systems are modular, and this modularity evolves over time and in different environments. A number of observations have been made of increased modularity in biological systems under increased environmental pressure. We here develop a quasispecies theory for the dynamics of modularity in populations of these systems. We show how the steady-state fitness in a randomly changing environment can be computed. We derive a fluctuation dissipation relation for the rate of change of modularity and use it to derive a relationship between rate of environmental changes and rate of growth of modularity. We also find a principle of least action for the evolved modularity at steady state. Finally, we compare our predictions to simulations of protein evolution and find them to be consistent. Twit Text FOAVip Quasispecies Theory for Evolution of Modularity ????Phys Rev E Stat Nonlin Soft Matter Phys http://www.kidney.de/pget.php?&tw=1&pmid=25679649 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25679649 #FOAvip English Wikipedia <ref>{{Cite pmid|25679649}}</ref> Quasispecies Theory for Evolution of Modularity #MMPMID25679649 Park JM; Niestemski LR; Deem MW Phys Rev E Stat Nonlin Soft Matter Phys 2015[Jan]; 91 (1): 012714 PMID25679649show ga Biological systems are modular, and this modularity evolves over time and in different environments. A number of observations have been made of increased modularity in biological systems under increased environmental pressure. We here develop a quasispecies theory for the dynamics of modularity in populations of these systems. We show how the steady-state fitness in a randomly changing environment can be computed. We derive a fluctuation dissipation relation for the rate of change of modularity and use it to derive a relationship between rate of environmental changes and rate of growth of modularity. We also find a principle of least action for the evolved modularity at steady state. Finally, we compare our predictions to simulations of protein evolution and find them to be consistent. äQuasispecies Theory for Evolution of Modularity (epmc).pdf DeepDyve Pubget Overpricing