Prediction of protein secondary structure from circular dichroism using theoretically derived spectra
β Scribed by Caroline Louis-Jeune; Miguel A. Andrade-Navarro; Carol Perez-Iratxeta
- Book ID
- 105358331
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 930 KB
- Volume
- 80
- Category
- Article
- ISSN
- 0887-3585
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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
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
This article presents SOMCD, an improved method for the evaluation of protein secondary structure from circular dichroism spectra, based on Kohonen's self-organizing maps (SOM). Protein circular dichroism (CD) spectra are used to train a SOM, which arranges the spectra on a two-dimensional map. Loca