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A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples

The fully automatic processing of crystals of macromolecules has presented a unique opportunity to gather information on the samples that is not usually recorded. This has proved invaluable in improving sample-location, characterization and data-collection algorithms. After operating for four years,...

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Detalles Bibliográficos
Autores principales: Svensson, Olof, Gilski, Maciej, Nurizzo, Didier, Bowler, Matthew W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760449/
https://www.ncbi.nlm.nih.gov/pubmed/31576216
http://dx.doi.org/10.1107/S2052252519008017
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author Svensson, Olof
Gilski, Maciej
Nurizzo, Didier
Bowler, Matthew W.
author_facet Svensson, Olof
Gilski, Maciej
Nurizzo, Didier
Bowler, Matthew W.
author_sort Svensson, Olof
collection PubMed
description The fully automatic processing of crystals of macromolecules has presented a unique opportunity to gather information on the samples that is not usually recorded. This has proved invaluable in improving sample-location, characterization and data-collection algorithms. After operating for four years, MASSIF-1 has now processed over 56 000 samples, gathering information at each stage, from the volume of the crystal to the unit-cell dimensions, the space group, the quality of the data collected and the reasoning behind the decisions made in data collection. This provides an unprecedented opportunity to analyse these data together, providing a detailed landscape of macromolecular crystals, intimate details of their contents and, importantly, how the two are related. The data show that mosaic spread is unrelated to the size or shape of crystals and demonstrate experimentally that diffraction intensities scale in proportion to crystal volume and molecular weight. It is also shown that crystal volume scales inversely with molecular weight. The results set the scene for the development of X-ray crystallography in a changing environment for structural biology.
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spelling pubmed-67604492019-10-01 A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples Svensson, Olof Gilski, Maciej Nurizzo, Didier Bowler, Matthew W. IUCrJ Research Papers The fully automatic processing of crystals of macromolecules has presented a unique opportunity to gather information on the samples that is not usually recorded. This has proved invaluable in improving sample-location, characterization and data-collection algorithms. After operating for four years, MASSIF-1 has now processed over 56 000 samples, gathering information at each stage, from the volume of the crystal to the unit-cell dimensions, the space group, the quality of the data collected and the reasoning behind the decisions made in data collection. This provides an unprecedented opportunity to analyse these data together, providing a detailed landscape of macromolecular crystals, intimate details of their contents and, importantly, how the two are related. The data show that mosaic spread is unrelated to the size or shape of crystals and demonstrate experimentally that diffraction intensities scale in proportion to crystal volume and molecular weight. It is also shown that crystal volume scales inversely with molecular weight. The results set the scene for the development of X-ray crystallography in a changing environment for structural biology. International Union of Crystallography 2019-07-10 /pmc/articles/PMC6760449/ /pubmed/31576216 http://dx.doi.org/10.1107/S2052252519008017 Text en © Olof Svensson et al. 2019 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/
spellingShingle Research Papers
Svensson, Olof
Gilski, Maciej
Nurizzo, Didier
Bowler, Matthew W.
A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples
title A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples
title_full A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples
title_fullStr A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples
title_full_unstemmed A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples
title_short A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples
title_sort comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760449/
https://www.ncbi.nlm.nih.gov/pubmed/31576216
http://dx.doi.org/10.1107/S2052252519008017
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