ArticleActa crystallographica. Section D, Structural biology2019
Choosing your (Friedel) mates wisely: grouping data sets to improve anomalous signal.
Article in Acta crystallographica. Section D, Structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Single-support serial isomorphous replacement phasing.Acta crystallographica. Section D, Structural biology · 2022Article
- ID23-2: an automated and high-performance microfocus beamline for macromolecular crystallography at the ESRF.Journal of synchrotron radiation · 2022Article
- Article
- Making a difference in multi-data-set crystallography: simple and deterministic data-scaling/selection methods.Acta crystallographica. Section D, Structural biology · 2020Article
- Long-wavelength Mesh&Collect native SAD phasing from microcrystals.Acta crystallographica. Section D, Structural biology · 2019Article
- Challenge data set for macromolecular multi-microcrystallography.Acta crystallographica. Section D, Structural biology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-wavelength anomalous diffraction (SAD) phasing from multiple crystals can be especially challenging in samples with weak anomalous signals and/or strong non-isomorphism. Here, advantage is taken of the combinatorial diversity possible in such experiments to study the relationship between merging statistics and downstream metrics of phasing signals. It is furthermore shown that a genetic algorithm (GA) can be used to optimize the grouping of data sets to enhance weak anomalous signals based on these merging statistics.
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Registered trials
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