Author(s): Hellwig P, Grzybek S, Behr J, Ludwig B, Michel H,
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Abstract Cytochrome c oxidase from Paracoccus denitrificans was studied with a combined electrochemical and ultraviolet/visible/infrared (UV/vis/IR) spectroscopic approach. Global fit analysis of oxidative electrochemical redox titrations was used to separate the spectral contributions coupled to heme a and a3 redox transitions, respectively. Simultaneous adjustment of the midpoint potentials and of the amplitudes for a user-defined number of redox components (here heme a and a3) at all wavelengths in the UV/vis (900-400 nm) and at all wavenumbers in the infrared (1800-1250 cm-1) yielded difference spectra for the number of redox potentials selected. With an assumption of two redox components, two spectra for the redox potential at -0.03 +/- 0.01 V and 0.22 +/- 0.04 V (quoted vs Ag/AgCl) were obtained. The method used here allows the separation of the heme signals from the electrochemically induced visible difference spectra of native cytochrome c oxidase without the addition of any inhibitors. The separated heme a and a3 UV/vis difference spectra essentially correspond to spectra obtained for high/low-spin and 5/6-coordinated heme a/a3 model compounds presented by Babcock [(1988) in Biological Applications of Resonance Raman Spectroscopy (Spiro, T., Ed.) Wiley and Sons, New York]. Single-component Fourier transform infrared (FTIR) difference spectra were calculated for both hemes on the basis of these fits, thus revealing contributions from the reorganization of the polypeptide backbone, from the hemes, and from single amino acids upon electron transfer of the cofactors (heme a/a3, CuA, and CuB), as well from coupled processes such as proton transfer. A tentative assignment of heme vibrational modes is presented and the assignment of the signals to the reorganization of the polypeptide backbone and to perturbations of single amino acids, in particular Asp, Glu, Arg, or Tyr, is discussed.
This article was published in Biochemistry
and referenced in Journal of Proteomics & Bioinformatics