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Structure-function relationships in iron and manganese superoxide dismutases.
W C Stallings1, A L Metzger, K A Pattridge
1Biophysics Research Division, University of Michigan.
Free Radical Research Communications
|January 1, 1991
Summary
Structural models of manganese and iron superoxide dismutase enzymes reveal a solvent molecule as a fifth ligand, crucial for their function in managing reactive oxygen species.
Area of Science:
- Biochemistry
- Structural Biology
- Enzymology
Background:
- Superoxide dismutases (SODs) are critical enzymes that catalyze the dismutation of superoxide radicals (O2-) into oxygen and hydrogen peroxide.
- Understanding the structural and mechanistic details of MnSOD and FeSOD is essential for comprehending cellular defense against oxidative stress.
Purpose of the Study:
- To refine structural models of Thermus thermophilus MnSOD and E. coli FeSOD in their oxidized states.
- To elucidate the coordination geometry, substrate binding, and mechanistic aspects of these metalloenzymes.
Main Methods:
- X-ray crystallography to obtain high-resolution structural data for MnSOD and FeSOD.
- Structural refinement using crystallographic data to R-factors of 0.186 (MnSOD) and 0.22 (FeSOD).
- Analysis of enzyme complexes (e.g., azide complex) and reduced forms to investigate reaction mechanisms.
Main Results:
- Refined structures support a solvent molecule as the fifth ligand to Mn(III) and Fe(III), with a trigonal bipyramidal coordination geometry.
- The substrate-entry channel involves residues from both subunits, with conserved basic residues potentially facilitating superoxide approach.
- Analysis of the FeSOD azide complex suggests O2- binds to a sixth site during turnover without displacing the solvent ligand.
Conclusions:
- The structural and mechanistic data provide insights into the catalytic cycle of MnSOD and FeSOD.
- The findings suggest that conserved residues play roles in substrate binding and enzyme stability.
- The study proposes a mechanistic scheme accommodating various experimental data, including pH-dependent titration behaviors.