Project info 1
Experiment Date2017-08-15
Experiment ID
Notebook ID
Project
Experimenter
Protocol
dose vs. response
How to fit and plot dose-response curves.
How the data are organized
The X values are molar concentration. The first concentration was really 0.0. But the X values will be transformed to logarithms, and the log(0) is not defined. So a low concentration (in this case 0.1 nM) is entered instead of zero.
The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.
The goal
To fit a dose-response curve to determine the EC50 of the drug, and its Hill Slope.
How to transform the X values to logs, and then fit a log(dose) vs. response curve
1. Click Analyze, choose Transform, and choose X=log(X), and check the option to create a new graph of the results.
2. From the Transform results, click Analyze, choose nonlinear regression, and choose the dose-response (stimulation) set of equations, and choose log(dose) vs. response -- variable slope.
3. On the linked graph, double-click on the X axis and consider adding nine minor ticks with logarithmic spacing, and to use the powers-of-ten numbering format.
1.00
3.12
6.25
12.50
25.00
50.00
2.90
2.88
2.70
2.60
2.11
2.01
2.85
2.85
2.79
2.58
2.28
1.90
2.95
2.88
2.51
2.52
2.37
1.95
2.90
2.99
2.71
2.12
1.66
1.16
3.00
2.89
2.57
2.36
1.73
1.14
3.07
2.95
2.70
2.25
1.60
1.20
3.26
2.85
2.35
1.94
1.50
1.01
3.20
2.80
2.53
1.87
1.39
1.12
3.28
2.90
2.40
2.09
1.37
0.92
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