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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,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2019
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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. |
format | Online Article Text |
id | pubmed-6760449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
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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