ArticleActa crystallographica. Section D, Structural biology2016
Facilitating best practices in collecting anomalous scattering data for de novo structure solution at the ESRF Structural Biology Beamlines.
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 6 papers.
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6 citing papers in PubMed.
- Correlated Motions in Structural Biology.Biochemistry · 2021Review
- Article
- Bayesian machine learning improves single-wavelength anomalous diffraction phasing.Acta crystallographica. Section A, Foundations and advances · 2019Article
- MXCuBE2: the dawn of MXCuBE Collaboration.Journal of synchrotron radiation · 2019Article
- The complex analysis of X-ray mesh scans for macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2018Article
- Glycoscience@Synchrotron: Synchrotron radiation applied to structural glycoscience.Beilstein journal of organic chemistry · 2017Review
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Abstract
The constant evolution of synchrotron structural biology beamlines, the viability of screening protein crystals for a wide range of heavy-atom derivatives, the advent of efficient protein labelling and the availability of automatic data-processing and structure-solution pipelines have combined to make de novo structure solution in macromolecular crystallography a less arduous task. Nevertheless, the collection of diffraction data of sufficient quality for experimental phasing is still a difficult and crucial step. Here, some examples of good data-collection practice for projects requiring experimental phasing are presented and recent developments at the ESRF Structural Biology beamlines that have facilitated these are illustrated.
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