Biacore T100 Software Handbook BR-1006-48 Edition AE
167
Kinetics and affinity analysis 9
If the interaction is too fast to provide kinetic information, you may only be able
to determine affinity constants. Interactions that do flatten out sufficiently
during the injection or dissociate sufficiently during the dissociation phase may
sometimes be analyzed by prolonging the association or dissociation phase
respectively.
Residuals
You should check that the residuals (the difference between experimental and
fitted value for each data point in the sensorgrams) lie within reasonable limits.
For a perfect fit, the residuals reflect the short-term noise in the sensorgrams
and scatter around zero (typically ±1-2 RU). Systematic deviations, seen as a
definite shape in the residual plot, indicate that the interaction model is to a
greater or lesser extent unsuitable for the interaction. As an aid in judging the
residuals, guidelines are drawn on the residual plot to indicate the range of
acceptability. Most of the residuals should be within the inner (green) limits.
Figure 9-3.
The residuals for a good fit (left) scatter around 0, ideally in a random
distribution representing the noise in the sensorgrams. For a poor fit (right) the residual
curves show a definite shape and deviate farther from 0.
The guideline positions are calculated in relation to the response range of the
sensorgrams. The guidelines are only shown for evaluations using the
predefined 1:1 model (i.e. when the quality control tab is included).
IMPORTANT!
Use the
Quality Control
assessment as a help in making your
own judgement of the results. Pass status in the quality control parameters
does not necessarily indicate that the fit is acceptable or that the results are
biologically relevant. On the other hand, Fail status in any of the parameters
is a reliable warning indicator.
Base your assessment on the overall quality of the results and the fitting,
taking all quality control parameters into account.
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