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Department of Biochemistry and Molecular Biology, University of Barcelona, Barcelona, Spain (R.F., V.C., J.M., C.F., A.C., F.C., C.L., E.I.C.); National Institute on Drug Abuse, National Institutes of Health, Department of Health and Human Services, Baltimore, Maryland (S.F.); and Department of Neuroscience, Division of Cellular and Molecular Neurochemistry, Karolinska Institutet, Stockholm, Sweden (K.F.)
Nonlinear Scatchard plots are often found for agonist binding to G-protein-coupled receptors. Because there is clear evidence of receptor dimerization, these nonlinear Scatchard plots can reflect cooperativity on agonist binding to the two binding sites in the dimer. According to this, the "two-state dimer receptor model" has been recently derived. In this article, the performance of the model has been analyzed in fitting data of agonist binding to A1 adenosine receptors, which are an example of receptor displaying concave downward Scatchard plots. Analysis of agonist/antagonist competition data for dopamine D1 receptors using the two-state dimer receptor model has also been performed. Although fitting to the two-state dimer receptor model was similar to the fitting to the "two-independent-site receptor model", the former is simpler, and a discrimination test selects the two-state dimer receptor model as the best. This model was also very robust in fitting data of estrogen binding to the estrogen receptor, for which Scatchard plots are concave upward. On the one hand, the model would predict the already demonstrated existence of estrogen receptor dimers. On the other hand, the model would predict that concave upward Scatchard plots reflect positive cooperativity, which can be neither predicted nor explained by assuming the existence of two different affinity states. In summary, the two-state dimer receptor model is good for fitting data of binding to dimeric receptors displaying either linear, concave upward, or concave downward Scatchard plots
Address correspondence to: Rafael Franco, Dept. Bioquimica i Biologia Molecular, Universitat de Barcelona, Av. Diagonal, 645, 08028 Barcelona, Spain. E-mail: rfranco{at}ub.edu
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