<i>CCP</i>4 Cloud for structure determination and project management in macromolecular crystallography

Eugene Krissinel(Science and Technology Facilities Council), Andrey A. Lebedev(Science and Technology Facilities Council), Ville Uski(Science and Technology Facilities Council), Charles Ballard(Science and Technology Facilities Council), Ronan M. Keegan(Science and Technology Facilities Council), Oleg Kovalevskiy(Science and Technology Facilities Council), Robert A. Nicholls, Navraj S. Pannu(Leiden University Medical Center), Pavol Skubák(Leiden University Medical Center), John M. Berrisford(European Bioinformatics Institute), Maria Fando(Institute of Protein Research), Bernhard Lohkamp(Karolinska Institutet), Marcin Wojdyr(Global Phasing (United Kingdom)), Adam J. Simpkin(University of Liverpool), Jens M. H. Thomas(University of Liverpool), Christopher Oliver(University of Birmingham), Clemens Vonrhein(Global Phasing (United Kingdom)), Grzegorz Chojnowski(European Molecular Biology Laboratory), Arnaud Baslé(Newcastle University), Andrew G. Purkiss(The Francis Crick Institute), Michail N. Isupov(University of Exeter), Stuart McNicholas(University of York), E.D. Lowe(University of Oxford), Josep Triviño(Institut de Biologia Molecular de Barcelona), Kevin Cowtan(University of York), Jon Agirre(University of York), Daniel J. Rigden(University of Liverpool), Isabel Usón(Institució Catalana de Recerca i Estudis Avançats), Victor S. Lamzin(European Molecular Biology Laboratory), Ivo Tews(University of Southampton), G. Bricogne(Global Phasing (United Kingdom)), Andrew G. W. Leslie, D. Brown(AVL (France))
Acta Crystallographica Section D Structural Biology
August 30, 2022
Cited by 77Open Access
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Abstract

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.


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