Enzyme inhibition data is analyzed with the Exploratory Enzyme Kinetics option in SigmaPlot. The direct linear plot, secondary plots and a numeric report are created to help determine if Michaelis-Menten kinetics are satisfied and to elicit the type of inhibition. This analysis provides excellent qualitative and quantitative information prior to fitting multiple candidate inhibition models using the Enzyme Kinetics module. Link
to white paper
ROC Curves Analysis
Receiver operating characteristic (ROC) curves are used in medicine to determine a cutoff value for a clinical test. For example, the cutoff value of 4.0 ng/ml was determined for the prostate specific antigen (PSA) test for prostate cancer. A test value below 4.0 is considered to be normal and above 4.0 to be abnormal. Clearly there will be patients with PSA values below 4.0 that are abnormal (false negative) and those above 4.0 that are normal (false positive). The goal of an ROC curve analysis is to determine the cutoff value. Link
to white paper
Standard Curves Analysis
A standard curve is used to calibrate an instrument or assay. The Standard Curves macro in SigmaPlot provides five equations that may be fit to your data. Link
to white paper
Using Global Curve Fitting to Determine Dose Response Parallelism
Dose response curves are parallel if they are only shifted right or left on the concentration (X) axis. So if you were to fit a 4 parameter logistic function to multiple dose response curves then, for curves which are parallel, only the EC50 parameters would be significantly different. If the data is normalized then the min, max and Hill slope parameters would not be significantly different. Link
to white paper
