ArticleActa crystallographica. Section D, Structural biology2016
Merging of synchrotron serial crystallographic data by a genetic algorithm.
Article in Acta crystallographica. Section D, Structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Fibril Structure of Desiccation-Protective Tardigrade Protein CAHS-8.Angewandte Chemie (International ed. in English) · 2026Article
- Synthesis of Differentially Halogenated Lissoclimide Analogues To Probe Ribosome E-Site Binding.ACS chemical biology · 2025Article
- SEPALLATA-driven MADS transcription factor tetramerization is required for inner whorl floral organ development.The Plant cell · 2024Article
- Single-support serial isomorphous replacement phasing.Acta crystallographica. Section D, Structural biology · 2022Article
- X-ray structure of theIUCrJ · 2022Article
- ID23-2: an automated and high-performance microfocus beamline for macromolecular crystallography at the ESRF.Journal of synchrotron radiation · 2022Article
- Best practices for time-resolved serial synchrotron crystallography.Acta crystallographica. Section D, Structural biology · 2022Review
- Guidelines for de novo phasing using multiple small-wedge data collection.Journal of synchrotron radiation · 2021Article
- Small-wedge synchrotron and serial XFEL datasets for Cysteinyl leukotriene GPCRs.Scientific data · 2020Article
- Multi-crystal data collection using synchrotron radiation as exemplified with low-symmetry crystals of Dps.Acta crystallographica. Section F, Structural biology communications · 2020Article
- Making a difference in multi-data-set crystallography: simple and deterministic data-scaling/selection methods.Acta crystallographica. Section D, Structural biology · 2020Article
- Article
- Choosing your (Friedel) mates wisely: grouping data sets to improve anomalous signal.Acta crystallographica. Section D, Structural biology · 2019Article
- Resolving polymorphs and radiation-driven effects in microcrystals using fixed-target serial synchrotron crystallography.Acta crystallographica. Section D, Structural biology · 2019Article
- Long-wavelength Mesh&Collect native SAD phasing from microcrystals.Acta crystallographica. Section D, Structural biology · 2019Article
- Automated data collection and real-time data analysis suite for serial synchrotron crystallography.Journal of synchrotron radiation · 2019Article
- Multi-position data collection and dynamic beam sizing: recent improvements to the automatic data-collection algorithms on MASSIF-1.Acta crystallographica. Section D, Structural biology · 2018Article
- Microfocus diffraction from different regions of a protein crystal: structural variations and unit-cell polymorphism.Acta crystallographica. Section D, Structural biology · 2018Article
- Sample manipulation and data assembly for robust microcrystal synchrotron crystallography.IUCrJ · 2018Article
- KAMO: towards automated data processing for microcrystals.Acta crystallographica. Section D, Structural biology · 2018Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in macromolecular crystallography have made it practical to rapidly collect hundreds of sub-data sets consisting of small oscillations of incomplete data. This approach, generally referred to as serial crystallography, has many uses, including an increased effective dose per data set, the collection of data from crystals without harvesting (in situ data collection) and studies of dynamic events such as catalytic reactions. However, selecting which data sets from this type of experiment should be merged can be challenging and new methods are required. Here, it is shown that a genetic algorithm can be used for this purpose, and five case studies are presented in which the merging statistics are significantly improved compared with conventional merging of all data.
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