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Study of Protein Aggregation Using Two-dimensional Correlation Infrared Spectroscopy and Spectral Simulations by Thierry Lefèvre; Karin Arseneault; Michel Pézolet is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Study of Protein Aggregation Using Two-dimensional Correlation Infrared Spectroscopy and Spectral Simulations about?
## Abstract Two‐dimensional (2D) correlation spectroscopy establishes correlations between intensity variations in a series of spectra obtained by the application of an external perturbation. However, spectral effects (wavenumber shift or bandwidth change) are known to generate apparent asynchronisms in 2D maps. Surprisingly, spectral effects are often neglected in the literature when interpreting experimental maps, which can lead to erroneous conclusions. In an attempt to evaluate the contribution of these effects and that of true asynchronisms on 2D maps, the heat‐induced aggregation of glutamyl‐tRNA synthetase (GluRS) was studied as a typical example of the application of Fourier transform infrared (FTIR) spectroscopy in the amide I region. The data were compared with those obtained from a mutant protein that differs by one amino acid. To determine whether the aggregation mechanisms are identical for both proteins, the experimental 2D maps were compared to simulations based on curve fitting of the initial and final spectra of the series, which allows change in position and bandwidth of the components to be taken into account. Intermediate spectra were generated using a convenien
Who reads Study of Protein Aggregation Using Two-dimensional Correlation Infrared Spectroscopy and Spectral Simulations?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Thierry Lefèvre; Karin Arseneault; Michel Pézolet
- Publisher
- Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0006-3525)
- Published
- 2004
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)
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