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Dose–Response with 95% Confidence Intervals

A four-parameter logistic drawn over the observed responses on a logarithmic concentration axis, with the observations carrying 95% confidence intervals that say so. Shows the two things a dose–response figure is usually wrong about: an unlabelled uncertainty, and a log axis whose base is never stated.

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Inhibition of target kinase2 series (scatter, function). x from 1 to 3000 — Concentration. y from 0 to 110 — Response. Series: Observed; 4PL fit.Inhibition of target kinaseEight concentrations, n = 6 wells per concentration · 2 series · 143 pointsObserved: 1, 97.2Observed: 3, 94.8Observed: 10, 88.1Observed: 30, 71.4Observed: 100, 47.9Observed: 300, 24.6Observed: 1000, 11.3Observed: 3000, 6.8confidence interval, level not statedconfidence interval, level not statedconfidence interval, level not statedconfidence interval, level not statedconfidence interval, level not statedconfidence interval, level not statedconfidence interval, level not statedconfidence interval, level not stated4PL fit1101001000Concentration (nM)0255075100Response (% of vehicle control)Observed4PL fitThe curve below is the fitted 4PL with the reported EC50 of 92 nM and a Hill slope of −1.1. It is drawn from those constants, not refitted here.

Make it your own.

title: Inhibition of target kinase
subtitle: Eight concentrations, n = 6 wells per concentration
x: Concentration (nM)
y: Response (% of vehicle control)
x scale: log
y limits: 0 .. 110
grid: y
legend: bottom

scatter "Observed" error: ci
  1,     97.2 ± 3.1
  3,     94.8 ± 3.4
  10,    88.1 ± 4.0
  30,    71.4 ± 4.6
  100,   47.9 ± 5.1
  300,   24.6 ± 4.2
  1000,  11.3 ± 3.0
  3000,   6.8 ± 2.4

note: The curve below is the fitted 4PL with the reported EC50 of 92 nM and a Hill slope of −1.1. It is drawn from those constants, not refitted here.
plot "4PL fit" y = 5.5 + 92/(1 + (x/92)^1.1) for x in [1, 3000]