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Originally published as Biophys J. BioFAST on July 14, 2006.
doi:10.1529/biophysj.105.080051
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Biophysical Journal 91:2647-2664 (2006)
© 2006 The Biophysical Society

A Structure-Based Simulation Approach for Electron Paramagnetic Resonance Spectra Using Molecular and Stochastic Dynamics Simulations

Christian Beier and Heinz-Jürgen Steinhoff

Fachbereich Physik, Universität Osnabrück, Osnabrück, Germany

Correspondence: Address reprint requests to Heinz-Jürgen Steinhoff, Tel.: 49-541-969-2675; E-mail: hsteinho{at}uos.de.

Electron paramagnetic resonance (EPR) spectroscopy using site-directed spin-labeling is an appropriate technique to analyze the structure and dynamics of flexible protein regions as well as protein-protein interactions under native conditions. The analysis of a set of protein mutants with consecutive spin-label positions leads to the identification of secondary and tertiary structure elements. In the first place, continuous-wave EPR spectra reflect the motional freedom of the spin-label specifically linked to a desired site within the protein. EPR spectra calculations based on molecular dynamics (MD) and stochastic dynamics simulations facilitate verification or refinement of predicted computer-aided models of local protein conformations. The presented spectra simulation algorithm implies a specialized in vacuo MD simulation at 600 K with additional restrictions to sample the entire accessible space of the bound spin-label without large temporal effort. It is shown that the distribution of spin-label orientations obtained from such MD simulations at 600 K agrees well with the extrapolated motion behavior during a long timescale MD at 300 K with explicit water. The following potential-dependent stochastic dynamics simulation combines the MD data about the site-specific orientation probabilities of the spin-label with a realistic rotational diffusion coefficient yielding a set of trajectories, each more than 700 ns long, essential to calculate the EPR spectrum. Analyses of a structural model of the loop between helices E and F of bacteriorhodopsin are illustrated to demonstrate the applicability and potentials of the reported simulation approach. Furthermore, effects on the motional freedom of bound spin-labels induced by solubilization of bacteriorhodopsin with Triton X-100 are examined.




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S. C. DeSensi, D. P. Rangel, A. H. Beth, T. P. Lybrand, and E. J. Hustedt
Simulation of Nitroxide Electron Paramagnetic Resonance Spectra from Brownian Trajectories and Molecular Dynamics Simulations
Biophys. J., May 15, 2008; 94(10): 3798 - 3809.
[Abstract] [Full Text] [PDF]




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