Sedimentation equilibrium is a powerful tool for the characterization of protein self-association and heterogeneous protein interactions. Frequently, it is applied in a configuration with relatively long solution columns and with equilibrium profiles being acquired sequentially at several rotor speeds.The present study proposes computational tools, implemented in the software SEDPHAT, for the global analysis of equilibrium data at multiple rotor speeds, multiple concentrations, and multiple optical detection methods. The detailed global modeling of such equilibrium data can be a non-trivial computational problem. It was shown previously that mass conservation constraints can significantly improve and extend the analysis of heterogeneous protein interactions. Here, a method for using conservation of mass constraints for the macromolecular redistribution is proposed in which the effective loading concentrations is being calculated from the sedimentation equilibrium profiles. The approach is similar to that described by Roark (Biophys. Chem. 5 (1976) [185][186][187][188][189][190][191][192][193][194][195][196], but its utility is extended by determining the bottom position of the solution columns from the macromolecular redistribution. For analyzing heterogeneous associations at multiple protein concentrations, additional constraints are introduced that relate the effective loading concentrations of the different components or their molar ratio in the global analysis. Equilibrium profiles at multiple rotor speeds also permit the algebraic determination of radial-dependent baseline profiles, which can govern interference optical ultracentrifugation data, but usually also occur, to a smaller extent, in absorbance optical data. Finally, the global analysis of equilibrium profiles at multiple rotor speeds with implicit mass conservation and computation of the bottom of the solution column provides an unbiased scale for determining molar mass distributions of non-interacting species. The properties of these tools are studied with theoretical and experimental data sets.

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Fe-containing superoxide dismutase's active site Fe is coordinated by a solvent molecule, whose protonation state is coupled to the Fe oxidation state. Thus, we have proposed that H-bonding between glutamine 69 and this solvent molecule can strongly influence the redox activity of the Fe in superoxide dismutase (SOD). We show here that mutation of this Gln to His subtly alters the active site structure but preserves 30% activity. In contrast, mutation to Glu otherwise preserves the active site structure but inactivates the enzyme. Thus, enzyme function correlates not with atom positions but with residue identity (chemistry), in this case. We observe strong destabilization of the Q69E-FeSOD oxidized state relative to the reduced state and intermediate destabilization of oxidized Q69H-FeSOD. Indeed, redox titrations indicate that mutation of Gln69 to His increases the reduction potential by 240 mV, whereas mutation to Glu appears to increase it by more than 660 mV. We find that this suffices to explain the mutants' loss of activity, although additional factors may also contribute. The strongly elevated reduction potential of Q69E-FeSOD may reflect reorganization of the active site H-bonding network, including possible reversal of the polarity of the key H-bond between residue 69 and coordinated solvent.