Distributed computing for macromolecular crystallography. Issue 2 (4th February 2018)

• Record Type: Journal Article
• Authors: Krissinel, Evgeny; Uski, Ville; Lebedev, Andrey; Winn, Martyn; Ballard, Charles
• Is Part Of: Acta crystallographica. Volume 74:Issue 2(2018)
• Page Start: 143
• Page End: 151
• Publication Date: 2018-02-04
• Subjects: crystallographic computing -- distributed computing -- data and project management -- web services -- computational cloud; X-ray crystallography -- Periodicals; Crystallography -- Periodicals; Molecular biology -- Periodicals; Molecular structure -- Periodicals; Biomolecules -- Structure -- Periodicals; Cytology -- Periodicals; Biomolecules -- Structure; Crystallography; Cytology; Molecular biology; Molecular structure; X-ray crystallography; Periodicals; 548
• DOI: 10.1107/S2059798317014565
• Languages: English
• ISSNs: 2059-7983

Abstract

Abstract : The paper describes recent CCP4 initiatives and projects aimed at bringing software and data services which utilize distributed computational resources to users. Abstract : 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 CCP 4 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.