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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...

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Detalles Bibliográficos
Autores principales: Krissinel, Evgeny, Uski, Ville, Lebedev, Andrey, Winn, Martyn, Ballard, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2018
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.
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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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