Protein dynamics of Cytochrom c Oxidase: Identification of vibrational components in Modulated Excitation-SEIRA spectra and fitting of the data to the kinetic model

Andreas Schwaighofer (Vortragende:r), Christoph Steininger, M. David Hildenbrandt, Johannes Srajer, Shelagh Ferguson-Miller, Renate L. C. Naumann, Christoph Nowak

    Publikation: Beitrag in Buch oder TagungsbandBeitrag in Tagungsband mit PosterpräsentationBegutachtung

    Abstract

    Cytochrome c oxidase (CcO) from R. sphaeroides was investigated by Modulated Excitation Surface-Enhanced IR-Absorption Spectroscopy (ME-SEIRAS). Sequential electron transfer (ET) within CcO was initiated by electrochemical excitation. During modulated excitation by periodic potential pulses with frequencies between 20 Hz and 500 Hz, time-resolved (tr) IR spectra were measured by the Step-Scan technique with time-resolution in the millisecond time range. Conformational changes of the protein structure as a result of ET lead to rather complex SEIRA spectra with many overlapping bands. Overlapping structural bands in the amide I region were deconvoluted by application of Phase Sensitive Detection (PSD). Analyzing the phase lags of single components acquired at different stimulation frequencies allowed the validation of deconvoluted structural bands. Identified vibrational components were used to fit the band intensities in tr-IR spectra. Obtained band absorbances versus time were then fitted to a computational model for the sequential ET, yielding parameters such as the electrochemical rate constant from the electrode to CuA, ke, as well as E0 and pKr and pKo of the four centers in the CcO.
    OriginalspracheEnglisch
    Titel57 th Annual Meeting Biophysical Society, Philadelphia, Pennsylvania
    PublikationsstatusVeröffentlicht - 2013
    Veranstaltung57 th Annual Meeting Biophysical Society, Philadelphia, Pennsylvania -
    Dauer: 2 Feb. 20136 Feb. 2013

    Konferenz

    Konferenz57 th Annual Meeting Biophysical Society, Philadelphia, Pennsylvania
    Zeitraum2/02/136/02/13

    Research Field

    • Biosensor Technologies

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