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HO Onaran, T Costa and D Rodbard
Laboratory of Theoretical and Physical Biology, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20014.
We used a thermodynamic model to examine the interactions between receptor, guanine nucleotide-binding protein (G protein), and their ligands. The model describes the interactions as multiple equilibria occurring between three distinct protein species (receptor, G alpha subunit, and G beta gamma complex) and two small ligands, i.e., agonist (which interacts with receptor) and guanine nucleotide (which binds to G alpha). The equilibrium distribution of free and complexed species is determined by the total concentration of the components, the affinities that govern the biomolecular reactions, and the allosteric interactions that ligands exert on each other when they are simultaneously bound to the same species. These allosteric factors are given in terms of free energy coupling. The model explains a number of experimental observations, as follows. (i) Both GTP and GDP can reduce agonist affinity, whereas the agonist enhances the net binding of GTP and diminishes that of GDP. (ii) G beta gamma is more effective in reducing agonist-independent than agonist-dependent receptor activity. (iii) Removal of guanine nucleotides increases the ratio between agonist- independent and -dependent activation of G protein. The model leads to a number of interesting predictions. (i) Not only G alpha but also G beta gamma has effects on hormone binding. (ii) As long as the distribution of protein species is [G beta gamma] > [G alpha] > [receptor] (as often observed in the cell membrane), small changes in the concentration of G beta gamma do not alter the overall response induced by agonist. (iii) Agonist activity examined at low concentrations of guanine nucleotide is inevitably different from that observed at high concentrations, typical of intact systems. (iv) Differences in potencies and maximal effects for various guanine nucleotide analogues may reflect differences in their coupling constants that are experimentally measurable. The present model suggests several experimentally testable hypotheses that could be important in elucidating the activation mechanism and regulatory flexibility of G protein-dependent transduction systems.
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