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Experimental procedure for the characterization of radiation damage in macromolecular crystals

A reliable and reproducible method to automatically characterize the radiation sensitivity of macromolecular crystals at the ESRF beamlines has been developed. This new approach uses the slope of the linear dependence of the overall isotropic B-factor with absorbed dose as the damage metric. The met...

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Autores principales: Leal, Ricardo M. F., Bourenkov, Gleb P., Svensson, Olof, Spruce, Darren, Guijarro, Matias, Popov, Alexander N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268693/
https://www.ncbi.nlm.nih.gov/pubmed/21525646
http://dx.doi.org/10.1107/S0909049511002251
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author Leal, Ricardo M. F.
Bourenkov, Gleb P.
Svensson, Olof
Spruce, Darren
Guijarro, Matias
Popov, Alexander N.
author_facet Leal, Ricardo M. F.
Bourenkov, Gleb P.
Svensson, Olof
Spruce, Darren
Guijarro, Matias
Popov, Alexander N.
author_sort Leal, Ricardo M. F.
collection PubMed
description A reliable and reproducible method to automatically characterize the radiation sensitivity of macromolecular crystals at the ESRF beamlines has been developed. This new approach uses the slope of the linear dependence of the overall isotropic B-factor with absorbed dose as the damage metric. The method has been implemented through an automated procedure using the EDNA on-line data analysis framework and the MxCuBE data collection control interface. The outcome of the procedure can be directly used to design an optimal data collection strategy. The results of tests carried out on a number of model and real-life crystal systems are presented.
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spelling pubmed-32686932012-01-31 Experimental procedure for the characterization of radiation damage in macromolecular crystals Leal, Ricardo M. F. Bourenkov, Gleb P. Svensson, Olof Spruce, Darren Guijarro, Matias Popov, Alexander N. J Synchrotron Radiat Radiation Damage A reliable and reproducible method to automatically characterize the radiation sensitivity of macromolecular crystals at the ESRF beamlines has been developed. This new approach uses the slope of the linear dependence of the overall isotropic B-factor with absorbed dose as the damage metric. The method has been implemented through an automated procedure using the EDNA on-line data analysis framework and the MxCuBE data collection control interface. The outcome of the procedure can be directly used to design an optimal data collection strategy. The results of tests carried out on a number of model and real-life crystal systems are presented. International Union of Crystallography 2011-05-01 2011-03-10 /pmc/articles/PMC3268693/ /pubmed/21525646 http://dx.doi.org/10.1107/S0909049511002251 Text en © Ricardo M. F. Leal et al. 2011 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Radiation Damage
Leal, Ricardo M. F.
Bourenkov, Gleb P.
Svensson, Olof
Spruce, Darren
Guijarro, Matias
Popov, Alexander N.
Experimental procedure for the characterization of radiation damage in macromolecular crystals
title Experimental procedure for the characterization of radiation damage in macromolecular crystals
title_full Experimental procedure for the characterization of radiation damage in macromolecular crystals
title_fullStr Experimental procedure for the characterization of radiation damage in macromolecular crystals
title_full_unstemmed Experimental procedure for the characterization of radiation damage in macromolecular crystals
title_short Experimental procedure for the characterization of radiation damage in macromolecular crystals
title_sort experimental procedure for the characterization of radiation damage in macromolecular crystals
topic Radiation Damage
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3268693/
https://www.ncbi.nlm.nih.gov/pubmed/21525646
http://dx.doi.org/10.1107/S0909049511002251
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