Improvement of protein secondary structure prediction by combination of statistical algorithms and circular dichroism
β Scribed by Enrico A. Carrara; Cesare Gavotti; Paolo Catasti; Fabrizio Nozza; Luisella L.Berutti Bergotto; Claudio A. Nicolini
- Book ID
- 115709103
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 843 KB
- Volume
- 294
- Category
- Article
- ISSN
- 0003-9861
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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
Selected regions of infarred (ir) and circular dichroism (CD) spectral data from 10 proteins were combined and analyzed by a factor analysis method. The regions consisted of the area normalized amide I region from 1700 to 1600 cm-1 for the ir spectra and from 178 to 240 nm for the CD spectra. Each C