title: Resolvability of free energy changes for oxygen binding and subunit association by human hemoglobin.
abstract: Probability distributions of the free energy changes for oxygen binding, subunit association, and quaternary enhancement by human hemoglobin were obtained from Monte Carlo simulations performed on two independent sets of variable protein concentration equilibrium oxygen-binding data. Uncertainties in unliganded and fully liganded dimer to tetramer association free energy changes (0 delta G'2 and 4 delta G'2) were accounted for in the simulations. Distributions of the dimer to tetramer association free energy changes for forming singly and triply liganded tetramers (1 delta G'2 and 3 delta G'2) are well defined and quite symmetric, whereas that for forming doubly liganded tetramers (2 delta G'2) is poorly defined and highly asymmetric. The distribution of the dimer stepwise oxygen-binding free-energy change (delta g'2i) is well defined and quite symmetric as are those of the tetramer stepwise oxygen-binding free-energy changes for binding the first and last oxygens to tetramers (delta g'41 and delta g'44). Distributions of the intermediate tetramer stepwise oxygen-binding free-energy changes (delta g'42 and delta g'43) are poorly defined and highly asymmetric, but are compensatory in that their sum (delta g'4[2 + 3]) is again well defined and nearly symmetric. Distributions of the free energy changes corresponding to the tetramer product Adair oxygen binding constants (delta G'4i) are well defined and quite symmetric for i = 1, 3, 4 but not for i = 2. The distribution of delta g'44 - delta g'2i (the quaternary enhancement free energy change) is relatively narrow, nearly symmetric, and confined to the negative free-energy domain. This suggests that the quaternary enhancement free energy change (a) may be resolved with good confidence from this data and (b) is finite and negative under the conditions of these experiments. Our results also suggest two different four-state combinatorial switch models that provide accurate characterization of hemoglobin's functional behavior.
authors.affiliation: Department of Pharmacology, University of Virginia School of Medicine, Charlottesville 22908.
authors.forename: M
authors.initials: M
authors.lastname: Straume
authors.forename: M L
authors.initials: ML
authors.lastname: Johnson
mesh_terms: D006454:Hemoglobins / Q000378:metabolism*; D006801:Humans; D046911:Macromolecular Substances; D009010:Monte Carlo Method; D010108:Oxyhemoglobins / Q000378:metabolism*; D011336:Probability; D011485:Protein Binding; D013816:Thermodynamics
chemical_list: D006454:Hemoglobins; D046911:Macromolecular Substances; D010108:Oxyhemoglobins