data analysis

The two general methods of data analysis include kinetic and equilibrium analysis.

In kinetic analysis, nonlinear least squares fitting is used to model a simulated data set over the experimental data in order to determine the association (ka) and dissociation (kd) rate constants. We have developed the global data fitting routines in SCRUBBER to interpret kinetic and equlilibrium biosensor data.

In equilibrium analysis, the binding responses at equilibrium are plotted vs. the analyte concentration and fit to binding isotherms to extract affinity constants.