Biacore T100 Software Handbook BR-1006-48 Edition AE
177
Kinetics and affinity analysis 9
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functions.
9.7
Curve fitting principles
With all kinetic and affinity analysis, it is important to remember that the results
obtained represent the results of fitting the experimental data to a
mathematical model, and that obtaining a good fit is not in itself evidence that
the model describes the physical reality of the interaction. The fitting procedure
does not have any “knowledge” of the biological significance of parameters in
the model equations, and it is wise always to examine the results obtained for
reasonableness of the values obtained. In addition, any mechanistic
conclusions drawn for the interaction from fitting results (e.g. concerning
multiple interaction sites or conformational changes) should ideally be tested
using independent techniques.
9.7.1
Fitting procedure
Kinetic parameters are extracted from experimental data by an iterative
process that finds the best fit for a set of equations describing the interaction.
The equations are created automatically from the definition of the interaction
model. The fitting process begins with initial values for the parameters in the
equation set, and optimizes the parameter values according to an algorithm
that minimizes the chi-squared value (Section 9.4.2) for the fitting.
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