A new procedure based on the statistical method of "variable selection" is used to predict the secondary structure of proteins from circular dichroism spectra. Variable selection adds the flexibility found in the Provencher and GlΓΆckner method (S. W. Provencher and J. GlΓΆckner, 1981, Biochemistry 20
Protein secondary structure from circular dichroism spectra
β Scribed by Parthasarathy Manavalan; W. Curtis Johnson
- Book ID
- 112829237
- Publisher
- Indian Academy of Sciences
- Year
- 1985
- Tongue
- English
- Weight
- 472 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0250-5991
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We have expanded our reference set of proteins used in the estimation of protein secondary structure by CD spectroscopy from 29 to 37 proteins by including 3 additional globular proteins with known X-ray structure and 5 denatured proteins. We have also modified the self-consistent method for analyzi
In least-squares fitting of protein circular dichroism (CD) spectra using basis CD spectra for the respective secondary structure components, as given by reference proteins of known structural composition, good fits of the CD spectrum do not necessarily correspond to appropriate fits of the underlyi
The estimation of protein secondary structure from circular dichroism spectra is described by a multivariate linear model with noise (Gauss-Markoff model). With this formalism the adequacy of the linear model is investigated, paying special attention to the estimation of the error in the secondary s