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CCP4 Cloud for structure determination and project management in macromolecular crystallography
Nowadays, progress in the determination of three-dimensional macromolecular structures from diffraction images is achieved partly at the cost of increasing data volumes. This is due to the deployment of modern high-speed, high-resolution detectors, the increased complexity and variety of crystallogr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435598/ https://www.ncbi.nlm.nih.gov/pubmed/36048148 http://dx.doi.org/10.1107/S2059798322007987 |
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author | Krissinel, Eugene Lebedev, Andrey A. Uski, Ville Ballard, Charles B. Keegan, Ronan M. Kovalevskiy, Oleg Nicholls, Robert A. Pannu, Navraj S. Skubák, Pavol Berrisford, John Fando, Maria Lohkamp, Bernhard Wojdyr, Marcin Simpkin, Adam J. Thomas, Jens M. H. Oliver, Christopher Vonrhein, Clemens Chojnowski, Grzegorz Basle, Arnaud Purkiss, Andrew Isupov, Michail N. McNicholas, Stuart Lowe, Edward Triviño, Josep Cowtan, Kevin Agirre, Jon Rigden, Daniel J. Uson, Isabel Lamzin, Victor Tews, Ivo Bricogne, Gerard Leslie, Andrew G. W. Brown, David G. |
author_facet | Krissinel, Eugene Lebedev, Andrey A. Uski, Ville Ballard, Charles B. Keegan, Ronan M. Kovalevskiy, Oleg Nicholls, Robert A. Pannu, Navraj S. Skubák, Pavol Berrisford, John Fando, Maria Lohkamp, Bernhard Wojdyr, Marcin Simpkin, Adam J. Thomas, Jens M. H. Oliver, Christopher Vonrhein, Clemens Chojnowski, Grzegorz Basle, Arnaud Purkiss, Andrew Isupov, Michail N. McNicholas, Stuart Lowe, Edward Triviño, Josep Cowtan, Kevin Agirre, Jon Rigden, Daniel J. Uson, Isabel Lamzin, Victor Tews, Ivo Bricogne, Gerard Leslie, Andrew G. W. Brown, David G. |
author_sort | Krissinel, Eugene |
collection | PubMed |
description | Nowadays, progress in the determination of three-dimensional macromolecular structures from diffraction images is achieved partly at the cost of increasing data volumes. This is due to the deployment of modern high-speed, high-resolution detectors, the increased complexity and variety of crystallographic software, the use of extensive databases and high-performance computing. This limits what can be accomplished with personal, offline, computing equipment in terms of both productivity and maintainability. There is also an issue of long-term data maintenance and availability of structure-solution projects as the links between experimental observations and the final results deposited in the PDB. In this article, CCP4 Cloud, a new front-end of the CCP4 software suite, is presented which mitigates these effects by providing an online, cloud-based environment for crystallographic computation. CCP4 Cloud was developed for the efficient delivery of computing power, database services and seamless integration with web resources. It provides a rich graphical user interface that allows project sharing and long-term storage for structure-solution projects, and can be linked to data-producing facilities. The system is distributed with the CCP4 software suite version 7.1 and higher, and an online publicly available instance of CCP4 Cloud is provided by CCP4. |
format | Online Article Text |
id | pubmed-9435598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-94355982022-09-19 CCP4 Cloud for structure determination and project management in macromolecular crystallography Krissinel, Eugene Lebedev, Andrey A. Uski, Ville Ballard, Charles B. Keegan, Ronan M. Kovalevskiy, Oleg Nicholls, Robert A. Pannu, Navraj S. Skubák, Pavol Berrisford, John Fando, Maria Lohkamp, Bernhard Wojdyr, Marcin Simpkin, Adam J. Thomas, Jens M. H. Oliver, Christopher Vonrhein, Clemens Chojnowski, Grzegorz Basle, Arnaud Purkiss, Andrew Isupov, Michail N. McNicholas, Stuart Lowe, Edward Triviño, Josep Cowtan, Kevin Agirre, Jon Rigden, Daniel J. Uson, Isabel Lamzin, Victor Tews, Ivo Bricogne, Gerard Leslie, Andrew G. W. Brown, David G. Acta Crystallogr D Struct Biol Ccp4 Nowadays, progress in the determination of three-dimensional macromolecular structures from diffraction images is achieved partly at the cost of increasing data volumes. This is due to the deployment of modern high-speed, high-resolution detectors, the increased complexity and variety of crystallographic software, the use of extensive databases and high-performance computing. This limits what can be accomplished with personal, offline, computing equipment in terms of both productivity and maintainability. There is also an issue of long-term data maintenance and availability of structure-solution projects as the links between experimental observations and the final results deposited in the PDB. In this article, CCP4 Cloud, a new front-end of the CCP4 software suite, is presented which mitigates these effects by providing an online, cloud-based environment for crystallographic computation. CCP4 Cloud was developed for the efficient delivery of computing power, database services and seamless integration with web resources. It provides a rich graphical user interface that allows project sharing and long-term storage for structure-solution projects, and can be linked to data-producing facilities. The system is distributed with the CCP4 software suite version 7.1 and higher, and an online publicly available instance of CCP4 Cloud is provided by CCP4. International Union of Crystallography 2022-08-30 /pmc/articles/PMC9435598/ /pubmed/36048148 http://dx.doi.org/10.1107/S2059798322007987 Text en © Eugene Krissinel et al. 2022 https://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. |
spellingShingle | Ccp4 Krissinel, Eugene Lebedev, Andrey A. Uski, Ville Ballard, Charles B. Keegan, Ronan M. Kovalevskiy, Oleg Nicholls, Robert A. Pannu, Navraj S. Skubák, Pavol Berrisford, John Fando, Maria Lohkamp, Bernhard Wojdyr, Marcin Simpkin, Adam J. Thomas, Jens M. H. Oliver, Christopher Vonrhein, Clemens Chojnowski, Grzegorz Basle, Arnaud Purkiss, Andrew Isupov, Michail N. McNicholas, Stuart Lowe, Edward Triviño, Josep Cowtan, Kevin Agirre, Jon Rigden, Daniel J. Uson, Isabel Lamzin, Victor Tews, Ivo Bricogne, Gerard Leslie, Andrew G. W. Brown, David G. CCP4 Cloud for structure determination and project management in macromolecular crystallography |
title |
CCP4 Cloud for structure determination and project management in macromolecular crystallography |
title_full |
CCP4 Cloud for structure determination and project management in macromolecular crystallography |
title_fullStr |
CCP4 Cloud for structure determination and project management in macromolecular crystallography |
title_full_unstemmed |
CCP4 Cloud for structure determination and project management in macromolecular crystallography |
title_short |
CCP4 Cloud for structure determination and project management in macromolecular crystallography |
title_sort | ccp4 cloud for structure determination and project management in macromolecular crystallography |
topic | Ccp4 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435598/ https://www.ncbi.nlm.nih.gov/pubmed/36048148 http://dx.doi.org/10.1107/S2059798322007987 |
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