Fig. 5: In silico analysis of batch mode optimizations for cost by Monte Carlo sampling input space. | Nature Chemistry

Fig. 5: In silico analysis of batch mode optimizations for cost by Monte Carlo sampling input space.

From: Timed batch inputs unlock substantially higher yields for enzymatic cascades

Fig. 5: In silico analysis of batch mode optimizations for cost by Monte Carlo sampling input space.The alternative text for this image may have been generated using AI.

a, A scatterplot of 440 in silico experiments: in orange, the optimized time-dependent inputs, and in green, the equivalent static dose control at t = 0. The size of the optimized dots represents the ratio difference between the control and the time sensitive dosing. The y axis represents the log-scaled cost per milligram unit in euros; the x axis shows the final concentration of the product AMP or PRPP once the reaction is at steady state. b, The average cost per milligram for the 440 time-dependent experiments and 440 equivalent controls. Error bars signify the standard error of the mean for optimizations performed for both the optimized and control experiments (n = 440). c, The lowest-cost experiment found in the best-performing time-dependent and best-performing control experiment.

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