Abstract
A semi-linear least-squares regression methodology is proposed to extract binding parameters from experimental binding data. After legitimation of simplification and suitable mathematical transformation, the only non-linear parameter which remains to be searched for by a non-linear least-squares regression is the affinity constant. As a result, number of sites and affinity constants are easier to grasp than with a full non-linear regression. This methodology can be applied to saturation as well as to displacement binding studies. It has been tested with binding data of QNB and aBTX on rat hippocampus synaptosomes.
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