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Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data

BACKGROUND: Circular Dichroism (CD) spectroscopy is a widely used method for studying protein structures in solution. Modern synchrotron radiation CD (SRCD) instruments have considerably higher photon fluxes than do conventional lab-based CD instruments, and hence have the ability to routinely measu...

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Detalles Bibliográficos
Autores principales: Lees, Jonathan G, Miles, Andrew J, Janes, Robert W, Wallace, B A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1676025/
https://www.ncbi.nlm.nih.gov/pubmed/17112372
http://dx.doi.org/10.1186/1471-2105-7-507
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author Lees, Jonathan G
Miles, Andrew J
Janes, Robert W
Wallace, B A
author_facet Lees, Jonathan G
Miles, Andrew J
Janes, Robert W
Wallace, B A
author_sort Lees, Jonathan G
collection PubMed
description BACKGROUND: Circular Dichroism (CD) spectroscopy is a widely used method for studying protein structures in solution. Modern synchrotron radiation CD (SRCD) instruments have considerably higher photon fluxes than do conventional lab-based CD instruments, and hence have the ability to routinely measure CD data to much lower wavelengths. Recently a new reference dataset of SRCD spectra of proteins of known structure, designed to cover secondary structure and fold space, has been produced which includes low wavelength (vacuum ultraviolet – VUV) data. However, the existing algorithms used to calculate protein secondary structures from CD data have not been designed to take optimal advantage of the additional information in these low wavelength data. RESULTS: In this study, we have optimised secondary structure calculation methods based on the low wavelength CD data by examining existing algorithms and secondary structure assignment schemes, and then developing new methods which have produced clear improvements in prediction accuracy, especially for beta-sheet components. We have further shown that if precise measurements of protein concentrations, and therefore spectral magnitudes, are not available, the inclusion of the low wavelength data will significantly improve the analyses. However, we have also demonstrated that the new reference dataset, methods, and assignments can also improve the analyses of conventional circular dichroism data, even if the low wavelength data is not available. CONCLUSION: VUV CD data include important information on protein structure which can be exploited with the algorithms and methodologies described.
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spelling pubmed-16760252006-12-05 Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data Lees, Jonathan G Miles, Andrew J Janes, Robert W Wallace, B A BMC Bioinformatics Research Article BACKGROUND: Circular Dichroism (CD) spectroscopy is a widely used method for studying protein structures in solution. Modern synchrotron radiation CD (SRCD) instruments have considerably higher photon fluxes than do conventional lab-based CD instruments, and hence have the ability to routinely measure CD data to much lower wavelengths. Recently a new reference dataset of SRCD spectra of proteins of known structure, designed to cover secondary structure and fold space, has been produced which includes low wavelength (vacuum ultraviolet – VUV) data. However, the existing algorithms used to calculate protein secondary structures from CD data have not been designed to take optimal advantage of the additional information in these low wavelength data. RESULTS: In this study, we have optimised secondary structure calculation methods based on the low wavelength CD data by examining existing algorithms and secondary structure assignment schemes, and then developing new methods which have produced clear improvements in prediction accuracy, especially for beta-sheet components. We have further shown that if precise measurements of protein concentrations, and therefore spectral magnitudes, are not available, the inclusion of the low wavelength data will significantly improve the analyses. However, we have also demonstrated that the new reference dataset, methods, and assignments can also improve the analyses of conventional circular dichroism data, even if the low wavelength data is not available. CONCLUSION: VUV CD data include important information on protein structure which can be exploited with the algorithms and methodologies described. BioMed Central 2006-11-17 /pmc/articles/PMC1676025/ /pubmed/17112372 http://dx.doi.org/10.1186/1471-2105-7-507 Text en Copyright © 2006 Lees et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lees, Jonathan G
Miles, Andrew J
Janes, Robert W
Wallace, B A
Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data
title Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data
title_full Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data
title_fullStr Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data
title_full_unstemmed Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data
title_short Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data
title_sort novel methods for secondary structure determination using low wavelength (vuv) circular dichroism spectroscopic data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1676025/
https://www.ncbi.nlm.nih.gov/pubmed/17112372
http://dx.doi.org/10.1186/1471-2105-7-507
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