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Correction: Bayesian inference and comparison of stochastic transcription elongation models

  • The PLOS Computational Biology Staff

There are a number of errors in the caption for S1 Fig. The publisher apologizes for the errors. Please see the correct S1 Fig caption here.

Supporting information

S1 Fig. Simulations of the elongation pathway.

Each point is a single simulation of the full rpoB gene (4029 nt). Parameters on the x- and y-axis are sampled uniformly at random from the displayed range at the beginning of each trial. The z-axis of each plot (mean elongation velocity) is then measured from the respective simulation. [NTP] and F held constant at 1000 μM and 0 pN respectively. (A): Relationship between and kcat with binding at equilibrium (Model 8). (B) Relationship between kbind and kcat for the kinetic binding model with translocation at equilibrium (Model 2). (C) Relationship between KD and kbind with translocation held at equilibrium (Model 2). KD and kbind sampled uniformly from specified range and velocity is measured. Samples with simulated velocities outside of the range 0.1–0.2 bp/s were discarded. [NTP] = 10 μM and kcat = 100 s−1.

https://doi.org/10.1371/journal.pcbi.1009314.s001

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Reference

  1. 1. Douglas J, Kingston R, Drummond AJ (2020) Bayesian inference and comparison of stochastic transcription elongation models. PLoS Comput Biol 16(2): e1006717. https://doi.org/10.1371/journal.pcbi.1006717 pmid:32059006