ArticleActa crystallographica. Section F, Structural biology communications2014
Measurement of the intrinsic variability within protein crystals: implications for sample-evaluation and data-collection strategies.
Article in Acta crystallographica. Section F, Structural biology communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Counter-diffusion studies of human transthyretin: the growth of high-quality crystals for X-ray and neutron crystallography.Journal of applied crystallography · 2025Article
- A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples.IUCrJ · 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
- Structural Basis for the Subversion of MAP Kinase Signaling by an Intrinsically Disordered Parasite Secreted Agonist.Structure (London, England : 1993) · 2017Article
- MASSIF-1: a beamline dedicated to the fully automatic characterization and data collection from crystals of biological macromolecules.Journal of synchrotron radiation · 2015Article
- Fully automatic characterization and data collection from crystals of biological macromolecules.Acta crystallographica. Section D, Biological crystallography · 2015Article
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2 authors.
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Abstract
The advent of micro-focused X-ray beams has led to the development of a number of advanced methods of sample evaluation and data collection. In particular, multiple-position data-collection and helical oscillation strategies are now becoming commonplace in order to alleviate the problems associated with radiation damage. However, intra-crystal and inter-crystal variation means that it is not always obvious on which crystals or on which region or regions of a crystal these protocols should be performed. For the automation of this process for large-scale screening, and to provide an indication of the best strategy for data collection, a metric of crystal variability could be useful. Here, measures of the intrinsic variability within protein crystals are presented and their implications for optimal data-collection strategies are discussed.
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