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Distributed computing for macromolecular crystallography
Modern crystallographic computing is characterized by the growing role of automated structure-solution pipelines, which represent complex expert systems utilizing a number of program components, decision makers and databases. They also require considerable computational resources and regular databas...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947778/ https://www.ncbi.nlm.nih.gov/pubmed/29533240 http://dx.doi.org/10.1107/S2059798317014565 |
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author | Krissinel, Evgeny Uski, Ville Lebedev, Andrey Winn, Martyn Ballard, Charles |
author_facet | Krissinel, Evgeny Uski, Ville Lebedev, Andrey Winn, Martyn Ballard, Charles |
author_sort | Krissinel, Evgeny |
collection | PubMed |
description | Modern crystallographic computing is characterized by the growing role of automated structure-solution pipelines, which represent complex expert systems utilizing a number of program components, decision makers and databases. They also require considerable computational resources and regular database maintenance, which is increasingly more difficult to provide at the level of individual desktop-based CCP4 setups. On the other hand, there is a significant growth in data processed in the field, which brings up the issue of centralized facilities for keeping both the data collected and structure-solution projects. The paradigm of distributed computing and data management offers a convenient approach to tackling these problems, which has become more attractive in recent years owing to the popularity of mobile devices such as tablets and ultra-portable laptops. In this article, an overview is given of developments by CCP4 aimed at bringing distributed crystallographic computations to a wide crystallographic community. |
format | Online Article Text |
id | pubmed-5947778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-59477782018-05-15 Distributed computing for macromolecular crystallography Krissinel, Evgeny Uski, Ville Lebedev, Andrey Winn, Martyn Ballard, Charles Acta Crystallogr D Struct Biol Research Papers Modern crystallographic computing is characterized by the growing role of automated structure-solution pipelines, which represent complex expert systems utilizing a number of program components, decision makers and databases. They also require considerable computational resources and regular database maintenance, which is increasingly more difficult to provide at the level of individual desktop-based CCP4 setups. On the other hand, there is a significant growth in data processed in the field, which brings up the issue of centralized facilities for keeping both the data collected and structure-solution projects. The paradigm of distributed computing and data management offers a convenient approach to tackling these problems, which has become more attractive in recent years owing to the popularity of mobile devices such as tablets and ultra-portable laptops. In this article, an overview is given of developments by CCP4 aimed at bringing distributed crystallographic computations to a wide crystallographic community. International Union of Crystallography 2018-02-01 /pmc/articles/PMC5947778/ /pubmed/29533240 http://dx.doi.org/10.1107/S2059798317014565 Text en © Krissinel et al. 2018 http://creativecommons.org/licenses/by/2.0/uk/ 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/2.0/uk/ |
spellingShingle | Research Papers Krissinel, Evgeny Uski, Ville Lebedev, Andrey Winn, Martyn Ballard, Charles Distributed computing for macromolecular crystallography |
title | Distributed computing for macromolecular crystallography |
title_full | Distributed computing for macromolecular crystallography |
title_fullStr | Distributed computing for macromolecular crystallography |
title_full_unstemmed | Distributed computing for macromolecular crystallography |
title_short | Distributed computing for macromolecular crystallography |
title_sort | distributed computing for macromolecular crystallography |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947778/ https://www.ncbi.nlm.nih.gov/pubmed/29533240 http://dx.doi.org/10.1107/S2059798317014565 |
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