Evans, P. and Bateman, Orval A. and Slingsby, Christine and Wallace, Bonnie A. (2007) A reference dataset for circular dichroism spectroscopy tailored for the [beta][gamma]-crystallin lens proteins. Experimental Eye Research 84 (5), 1001 - 1008. ISSN 0014-4835.
Abstract
Circular dichroism (CD) spectroscopy is a powerful solution technique for the study of protein secondary structure. As hierarchical euclidean clustering analyses of high quality crystallin synchrotron radiation circular dichroism (SRCD) spectral data can be separated into structural groups based solely on spectral information, the technique can potentially be improved to more accurately determine secondary structures and monitor conformational changes in crystallins. Secondary structure estimates can be determined through use of reference datasets of circular dichroism spectra from proteins with determined crystal structures. As with any empirical method, the accuracies of the analyses are dependent upon how closely the reference dataset characteristics match those of the protein to be studied. To date, crystallin proteins have not been well analysed by CD because existing reference datasets do not contain good representations of their structural characteristics. This work describes a βγ-crystallin specific reference dataset, CRYST175, which was created solely for the study of βγ-crystallin secondary structures. Prediction accuracy was assessed for the new dataset using several deconvolution algorithms and it was found to substantially outperform existing more general reference datasets.
Metadata
Item Type: | Article |
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Keyword(s) / Subject(s): | crystallin, cataract, mutation, circular dichroism (CD) spectroscopy, synchrotron radiation circular dichroism (SRCD), secondary structure analysis |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Natural Sciences |
Research Centres and Institutes: | Bioinformatics, Bloomsbury Centre for (Closed), Structural Molecular Biology, Institute of (ISMB) |
Depositing User: | Administrator |
Date Deposited: | 08 Aug 2011 10:52 |
Last Modified: | 02 Aug 2023 16:55 |
URI: | https://eprints.bbk.ac.uk/id/eprint/3975 |
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