4.2 Article

The XChemExplorer graphical workflow tool for routine or large-scale protein-ligand structure determination

期刊

出版社

INT UNION CRYSTALLOGRAPHY
DOI: 10.1107/S2059798316020234

关键词

XChemExplorer; PanDDA; structurebased ligand design; protein-ligand structure; fragment screening

资金

  1. AbbVie [1097737]
  2. Bayer
  3. Boehringer Ingelheim
  4. Canada Foundation for Innovation
  5. Canadian Institutes for Health Research
  6. Genome Canada
  7. GlaxoSmithKline
  8. Janssen
  9. Lilly Canada
  10. Novartis Research Foundation
  11. Ontario Ministry of Economic Development and Innovation
  12. Pfizer
  13. Takeda
  14. Wellcome Trust [092809/Z/10/Z]

向作者/读者索取更多资源

XChemExplorer (XCE) is a data-management and workflow tool to support large-scale simultaneous analysis of protein-ligand complexes during structurebased ligand discovery (SBLD). The user interfaces of established crystallographic software packages such as CCP4 [Winn et al. (2011), Acta Cryst. D67, 235-242] or PHENIX [Adams et al. (2010), Acta Cryst. D66, 213-221] have entrenched the paradigm that a 'project' is concerned with solving one structure. This does not hold for SBLD, where many almost identical structures need to be solved and analysed quickly in one batch of work. Functionality to track progress and annotate structures is essential. XCE provides an intuitive graphical user interface which guides the user from data processing, initial map calculation, ligand identification and refinement up until data dissemination. It provides multiple entry points depending on the need of each project, enables batch processing of multiple data sets and records metadata, progress and annotations in an SQLite database. XCE is freely available and works on any Linux and Mac OS X system, and the only dependency is to have the latest version of CCP4 installed. The design and usage of this tool are described here, and its usefulness is demonstrated in the context of fragment-screening campaigns at the Diamond Light Source. It is routinely used to analyse projects comprising 1000 data sets or more, and therefore scales well to even very large ligand-design projects.

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