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• W3006206197 startingPage "e1006717" @default.
• W3006206197 abstract "Transcription elongation can be modelled as a three step process, involving polymerase translocation, NTP binding, and nucleotide incorporation into the nascent mRNA. This cycle of events can be simulated at the single-molecule level as a continuous-time Markov process using parameters derived from single-molecule experiments. Previously developed models differ in the way they are parameterised, and in their incorporation of partial equilibrium approximations. We have formulated a hierarchical network comprised of 12 sequence-dependent transcription elongation models. The simplest model has two parameters and assumes that both translocation and NTP binding can be modelled as equilibrium processes. The most complex model has six parameters makes no partial equilibrium assumptions. We systematically compared the ability of these models to explain published force-velocity data, using approximate Bayesian computation. This analysis was performed using data for the RNA polymerase complexes of E. coli, S. cerevisiae and Bacteriophage T7. Our analysis indicates that the polymerases differ significantly in their translocation rates, with the rates in T7 pol being fast compared to E. coli RNAP and S. cerevisiae pol II. Different models are applicable in different cases. We also show that all three RNA polymerases have an energetic preference for the posttranslocated state over the pretranslocated state. A Bayesian inference and model selection framework, like the one presented in this publication, should be routinely applicable to the interrogation of single-molecule datasets." @default.
• W3006206197 created "2020-02-24" @default.
• W3006206197 creator A5052240308 @default.
• W3006206197 creator A5065363073 @default.
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• W3006206197 date "2020-02-14" @default.
• W3006206197 modified "2023-10-17" @default.
• W3006206197 title "Bayesian inference and comparison of stochastic transcription elongation models" @default.
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• W3006206197 cites W1948506902 @default.
• W3006206197 cites W1964259728 @default.
• W3006206197 cites W1964852137 @default.
• W3006206197 cites W1965175390 @default.
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• W3006206197 doi "https://doi.org/10.1371/journal.pcbi.1006717" @default.
• W3006206197 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7046298" @default.
• W3006206197 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32059006" @default.
• W3006206197 hasPublicationYear "2020" @default.
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