ELIMINATION OF LINEAR PARAMETERS IN NONLINEAR REGRESSIONS - A FAST AND EFFECTIVE METHOD FOR THE DETERMINATION OF BINDING PARAMETERS

A semi-linear least-squares regression methodology is proposed to extr act binding parameters from experimental binding data. After legitimat ion of simplification and suitable mathematical transformation, the on ly non-linear parameter which remains to be searched for by a non-line ar least-squares regression is the affinity constant. As a result, num ber of sites and affinity constants are easier to grasp than with a fu ll non-linear regression. This methodology can be applied to saturatio n as well as to displacement binding studies. It has been tested with binding data of QNB and alpha BTX on rat hippocampus synaptosomes.