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Interactive Data Comparison


Comparing Allocation Scenarios to E. coli Data

In the main text of the paper, we outline three plausible strategies cells may employ to determine the ribosomal allocation. These hypotheses are:

I. Allocation is constant across conditions (color: black).

II. Allocation is tuned to maintain elongation rate (color: green).

II. Allocation is optimally tuned to achieve the fastest growth rate (color: blue).

You can learn more about these scenarios and their parametric sensitivity on the Interactive Scenarios page of this website. Here, we compare the predictions from these different scenarios to experimental measurements of ribosomal allocation and transalation rate as a function of the growth rate in the model microbe Escherichia coli. The data in this figure comes from a variety of sources and methods. You can hover over each point to identify the source, data values, and the method of measurement. References to each are given at the bottom of this page.

Interaction with the sliders changes the parameters of the three scenarios. Note that scenario I (constant allocation) allows you to pick whatever ribosomal allocation parameter you would like. This is done by adjusting the slider in the bottom-right corner of the control panel. Adjusting this slider does not impact the behavior of the other scenarios.

Bokeh Plot
maximum translation speed [AA / s]: 20
20
allocation to other proteins: 0.55
0.55
log₁₀ precursor Michaelis-Menten constant: -1.52
-1.52
scenario I: constant ribosomal allocation parameter: 0.25
0.25
scenario II: target translation speed (relative to max): 0.90
0.90