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dc.contributorVirginia Techen_US
dc.contributor.authorBarik, D.en_US
dc.contributor.authorPaul, Mark R.en_US
dc.contributor.authorBaumann, W. T.en_US
dc.contributor.authorCao, Y.en_US
dc.contributor.authorTyson, John J.en_US
dc.date.accessioned2014-02-26T19:10:05Z
dc.date.available2014-02-26T19:10:05Z
dc.date.issued2008-10-01
dc.identifier.citationBarik, Debashis; Paul, Mark R.; Baumann, William T.; et al. "Stochastic simulation of enzyme-catalyzed reactions with disparate timescales," Biophysical Journal 95(8), 3563-3574 (2008); doi: 10.1529/biophysj.108.129155
dc.identifier.issn0006-3495
dc.identifier.urihttp://hdl.handle.net/10919/25775
dc.description.abstractMany physiological characteristics of living cells are regulated by protein interaction networks. Because the total numbers of these protein species can be small, molecular noise can have significant effects on the dynamical properties of a regulatory network. Computing these stochastic effects is made difficult by the large timescale separations typical of protein interactions (e. g., complex formation may occur in fractions of a second, whereas catalytic conversions may take minutes). Exact stochastic simulation may be very inefficient under these circumstances, and methods for speeding up the simulation without sacrificing accuracy have been widely studied. We show that the "total quasi-steady-state approximation'' for enzyme-catalyzed reactions provides a useful framework for efficient and accurate stochastic simulations. The method is applied to three examples: a simple enzyme-catalyzed reaction where enzyme and substrate have comparable abundances, a Goldbeter-Koshland switch, where a kinase and phosphatase regulate the phosphorylation state of a common substrate, and coupled Goldbeter-Koshland switches that exhibit bistability. Simulations based on the total quasi-steady-state approximation accurately capture the steady-state probability distributions of all components of these reaction networks. In many respects, the approximation also faithfully reproduces time-dependent aspects of the fluctuations. The method is accurate even under conditions of poor timescale separation.
dc.description.sponsorshipNational Institutes of Health GM078989
dc.language.isoen_US
dc.publisherCELL PRESS
dc.subjectSteady-state approximationen_US
dc.subjectCoupled chemical-reactionsen_US
dc.subjectXenopus-oocyteen_US
dc.subjectExtractsen_US
dc.subjectM-phase controlen_US
dc.subjectSystemsen_US
dc.subjectKineticsen_US
dc.titleStochastic simulation of enzyme-catalyzed reactions with disparate timescalesen_US
dc.typeArticle - Refereeden_US
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S0006349508785011
dc.date.accessed2014-02-05
dc.title.serialBiophysical Journal
dc.identifier.doihttps://doi.org/10.1529/biophysj.108.129155
dc.type.dcmitypeTexten_US


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