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http://scihub22266oqcxt.onion/ C4476401!4476401!25768447     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       Phys+Rev+E+Stat+Nonlin+Soft+Matter+Phys 2015 ; 91 (2): 020701 Nephropedia Template TP {{tp|p=25768447|t=2015. Gene regulation and noise reduction by coupling of stochastic processes |pdf=|usr=}}{{25768447}} gab.com Text Gene regulation and noise reduction by coupling of stochastic processes JO: Phys Rev E Stat Nonlin Soft Matter Phys http://www.kidney.de/pget.php?&tw=1&pmid=25768447 #FOAvip Here we characterize the low noise regime of a stochastic model for a negative self-regulating binary gene. The model has two stochastic variables, the protein number and the state of the gene. Each state of the gene behaves as a protein source governed by a Poisson process. The coupling between the the two gene states depends on protein number. This fact has a very important implication: there exist protein production regimes characterized by sub-Poissonian noise because of negative covariance between the two stochastic variables of the model. Hence the protein numbers obey a probability distribution that has a peak that is sharper than those of the two coupled Poisson processes that are combined to produce it. Biochemically, the noise reduction in protein number occurs when the switching of genetic state is more rapid than protein synthesis or degradation. We consider the chemical reaction rates necessary for Poisson and sub-Poisson processes in prokaryotes and eucaryotes. Our results suggest that the coupling of multiple stochastic processes in a negative covariance regime might be a widespread mechanism for noise reduction. Twit Text FOAVip Gene regulation and noise reduction by coupling of stochastic processes ????Phys Rev E Stat Nonlin Soft Matter Phys http://www.kidney.de/pget.php?&tw=1&pmid=25768447 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25768447 #FOAvip English Wikipedia <ref>{{Cite pmid|25768447}}</ref> Gene regulation and noise reduction by coupling of stochastic processes #MMPMID25768447 Ramos AF; Hornos JEM; Reinitz J Phys Rev E Stat Nonlin Soft Matter Phys 2015[Feb]; 91 (2): 020701 PMID25768447show ga Here we characterize the low noise regime of a stochastic model for a negative self-regulating binary gene. The model has two stochastic variables, the protein number and the state of the gene. Each state of the gene behaves as a protein source governed by a Poisson process. The coupling between the the two gene states depends on protein number. This fact has a very important implication: there exist protein production regimes characterized by sub-Poissonian noise because of negative covariance between the two stochastic variables of the model. Hence the protein numbers obey a probability distribution that has a peak that is sharper than those of the two coupled Poisson processes that are combined to produce it. Biochemically, the noise reduction in protein number occurs when the switching of genetic state is more rapid than protein synthesis or degradation. We consider the chemical reaction rates necessary for Poisson and sub-Poisson processes in prokaryotes and eucaryotes. Our results suggest that the coupling of multiple stochastic processes in a negative covariance regime might be a widespread mechanism for noise reduction. äGene regulation and noise reduction by coupling of stochastic processe(epmc).pdf DeepDyve Pubget Overpricing