Project automation in <scp>CCP4</scp> Cloud: Enabling customization and high‐throughput efficiency

Eugene Krissinel(Science and Technology Facilities Council), Maria Fando(Science and Technology Facilities Council), Oleg Kovalevskiy(Science and Technology Facilities Council), Ronan M. Keegan(Science and Technology Facilities Council), Jools Wills(Science and Technology Facilities Council), Andrey Lebedev(Science and Technology Facilities Council), Ville Uski(Science and Technology Facilities Council), Charles Ballard(Science and Technology Facilities Council)
Protein Science
May 24, 2025
Cited by 1Open Access
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Abstract

The rapid advancement of automatic structure solution methods, driven by the availability of high-quality predicted structures from AlphaFold and the growing adoption of multi-crystal and serial experiments, has created a pressing need for streamlining routine operations, automating structure solution projects, and efficiently handling large volumes of data. Modern software solutions must be both robust and user-friendly, supporting manual workflows while enabling high-throughput operations to keep pace with the high data collection rates of modern beamlines. Here, we present new developments in CCP4 Cloud that address these challenges by providing predefined and customizable automatic workflows, which can be seamlessly integrated with experimental facilities, offering a powerful solution for modern macromolecular crystallography. CCP4 Cloud is available as a public service at https://cloud.ccp4.ac.uk.


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