Advanced ESR Spectroscopy in Membrane Biophysics
Our current knowledge about biological membranes shows that they belong to the most important cell structures. Mass transport and signal transduction obviously appear to be vital to physiological functions of biomembranes as they enable cellular compartmentalization and control over it at the same time. Many experiments and theoretical considerations in the past decades have shown that membranes consist of a laterally heterogeneous lipid bilayer with a large number of different protein molecules embedded in the lipid bilayer. Heterogeneity exists at any level — from the biochemical to the physical level, meaning that different constituents and supramolecular structures in membranes interact via different interactions and exhibit different motional characteristics. This complexity — as the most striking property of any biological system — remains a tough problem also for the up-to-date experimental and theoretical approaches.
KeywordsSpin Label Spin Probe Local Magnetic Field Phase Space Volume Resonant Field
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7. Interesting References and Further Reading
Spin-Labeling ESR Spectroscopy
- Griffith OH, Jost PC. 1976. Lipid spin labels in biological membranes. In Spin labeling, theory and application, pp. 453–523. Ed LJ Berliner. New York: Academic Press.Google Scholar
Simulation of ESR Spectra
- Marsh D. 1981. Electron spin resonance: spin labels. In Membrane spectroscopy, pp. 51–142. Ed E Grell. Berlin: Springer.Google Scholar
- Schneider DJ, Freed JH. 1989. Calculating slow motional magnetic resonance spectra: a user’s guide. In Biological magnetic resonance: spin labeling, theory and applications, pp. 1–76. Ed LJ Berliner, J Reuben. New York: Plenum.Google Scholar
- Van SP, Birrell GB, Griffith OH. 1974. Rapid anisotropic motion of spin labels: models for motion averaging of the ESR parameters. J Magn Reson 15:444–459.Google Scholar
Optimization Methods of ESR Spectral Parameters
- Filipič B, Štrancar J. 2003. Evolutionary computational support for the characterization of biological systems. In Evolutionary computation in bioinformatics, pp. 279–294. Ed GB Fogel, D Corne. Amsterdam: Elsevier Science.Google Scholar