Select from multiple equation groups to analyze your data. The module provides about 40 different built-in equations to characterize different types of reaction mechanisms. It automatically estimates the initial parameters for the selected model(s), and uses the Marquardt-Levenberg algorithm to determine the parameter values. You get a detailed statistical report as well as a data report that includes the Km, Ki and Vmax values and their standard errors. You can simultaneously fit and compare multiple models and graphs from library of built-in equations. You can also enter your own custom equations and save them for future use.

To compare the different inhibition models, the Enzyme Kinetics Module provides a detailed report with complete statistical analysis for each model, as well as provides information on comparing the different models. Several goodness of fit criteria including Akaike's AIC are provided to determine the best model. Statistical results include parameter value confidence intervals, a residual runs test and outlier detection. The data report includes replicate mean velocities and their standard errors, the predicted and residual values from the curve fit and an indication of data outliers. The statistical report generated for each model includes the parameter values with their standard errors and 95% confidence intervals, Akaike, R2, sum of squares, standard error of the regression, and the significance level for the runs test. The selected models can be automatically ranked by goodness of fit.

You can create any one or all of the built-in graphs provided for each study. The module automatically generates interactive graphs you choose to display your results. You can modify the graphs as desired to present your results exactly the way you want to using SigmaPlot's ability to customize your graphs. Many of the graph algorithms automatically determine where fit lines intersect the axes and present the graphs in this manner. To help determine the type of inhibition, the curve fit lines are designed to allow you to extend the graph axes to show fit line intersection.

The Enzyme Kinetics Module runs seamlessly with SigmaPlot. You can easily create custom reports of your results including tables and graphs, incorporate your graphs into presentations or export your graphs to a wide range of graphic file formats to send it for publishing in journals. You can also create an HTML output of your graph and report to disseminate on the WWW.

The Enzyme Kinetics Module is an add-on to SigmaPlot 2000 that provides the curve fitting and graphing capabilities you need to analyze and present your enzyme kinetics data - quickly and easily. The module follows SigmaPlot's tradition of award-winning interface, ease-of-use, and intelligent wizards to guide you through your entire analysis. Just import or enter your data, select the type of study and the equation you would like to fit, as well as the interactive graphs to display your results. Using SigmaPlot's powerful non-linear curve-fitter, the module fits the selected equations to your data, as well as provides interactive graphs you need to see to study the kinetics mechanism. What's more, you get a detailed report complete with all statistical parameters for each model you fit so you can easily compare the different models to identify the best one for your data. It's that easy!