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10.1063/1.4935572 http://scihub22266oqcxt.onion/10.1063/1.4935572 C4655464!4655464!26590554     free     free     free       J+Chem+Phys 2015 ; 143 (19): ä Nephropedia Template TP {{tp|p=26590554|t=2015. Dichotomous noise models of gene switches |pdf=|usr=}}{{26590554}} gab.com Text Dichotomous noise models of gene switches JO: J Chem Phys http://www.kidney.de/pget.php?&tw=1&pmid=26590554 #FOAvip Molecular noise in gene regulatory networks has two intrinsic components, one part being due to fluctuations caused by the birth and death of protein or mRNA molecules which are often present in small numbers and the other part arising from gene state switching, a single molecule event. Stochastic dynamics of gene regulatory circuits appears to be largely responsible for bifurcations into a set of multi-attractor states that encode different cell phenotypes. The interplay of dichotomous single molecule gene noise with the nonlinear architecture of genetic networks generates rich and complex phenomena. In this paper, we elaborate on an approximate framework that leads to simple hybrid multi-scale schemes well suited for the quantitative exploration of the steady state properties of large-scale cellular genetic circuits. Through a path sum based analysis of trajectory statistics, we elucidate the connection of these hybrid schemes to the underlying master equation and provide a rigorous justification for using dichotomous noise based models to study genetic networks. Numerical simulations of circuit models reveal that the contribution of the genetic noise of single molecule origin to the total noise is significant for a wide range of kinetic regimes. Twit Text FOAVip Dichotomous noise models of gene switches ????J Chem Phys http://www.kidney.de/pget.php?&tw=1&pmid=26590554 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26590554 #FOAvip English Wikipedia <ref>{{Cite pmid|26590554}}</ref> Dichotomous noise models of gene switches #MMPMID26590554 Potoyan DA; Wolynes PG J Chem Phys 2015[Nov]; 143 (19): ä PMID26590554show ga Molecular noise in gene regulatory networks has two intrinsic components, one part being due to fluctuations caused by the birth and death of protein or mRNA molecules which are often present in small numbers and the other part arising from gene state switching, a single molecule event. Stochastic dynamics of gene regulatory circuits appears to be largely responsible for bifurcations into a set of multi-attractor states that encode different cell phenotypes. The interplay of dichotomous single molecule gene noise with the nonlinear architecture of genetic networks generates rich and complex phenomena. In this paper, we elaborate on an approximate framework that leads to simple hybrid multi-scale schemes well suited for the quantitative exploration of the steady state properties of large-scale cellular genetic circuits. Through a path sum based analysis of trajectory statistics, we elucidate the connection of these hybrid schemes to the underlying master equation and provide a rigorous justification for using dichotomous noise based models to study genetic networks. Numerical simulations of circuit models reveal that the contribution of the genetic noise of single molecule origin to the total noise is significant for a wide range of kinetic regimes. äDichotomous noise models of gene switches (epmc).pdf DeepDyve Pubget Overpricing